2024年08月17日 56篇
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【影响因子】11.446
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】The integration of distributed energy resources (DERs) such as wind, solar, batteries, etc. into the grid presents opportunities as well as challenges with regard to efficient coordination and trading. Virtual power plants (VPPs) have emerged as an important paradigm for aggregating and managing numerous DERs. This paper proposes a decentralized blockchain-based peer-to-peer (P2P) multilayer energy trading framework to facilitate optimized coordination of DERs within a VPP context. A control center, prosumers, and service operators constitute the model's multi-layered architecture. Profits from feed-in tariffs, ancillary services, and P2P sales are optimized for revenue while expenses are minimized using a mixed-integer linear programming formulation. Smart contracts enable prosumers to trade energy units in the Ethereum blockchain with ease via a participatory web platform. The effectiveness of the framework in synchronizing power supply and demand within the VPP by coordinating the charging and discharging of storage systems in accordance with consumption patterns is demonstrated through performance evaluation. In contrast to conventional centralized architectures, the proposed framework utilized decentralized architecture efficiently consolidates and optimizes distributed energy resources (DERs) to improve grid stability and renewable energy utilization.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Virtual power plant; Blockchain; Distributed energy resource; Peer-to-peer trading; Smart grid
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【Author】 Kock, Ned Tarkom, Augustine
【影响因子】10.884
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】We propose a theoretical concept of cryptocurrencies employing proof of socially beneficial work, which have the potential to become a major source of funding for nonprofit organizations aiming at benefiting society. New tokens of these cryptocurrencies would be issued only based on work that has already been conducted, with demonstrated and easily quantifiable positive results. We theorize that such cryptocurrencies will emerge and be progressively utilized to fund socially beneficial work without increasing indebtedness or inflation in the countries where the tokens are minted. Moreover, we theorize that such cryptocurrencies will be more successful than cryptocurrencies employing traditional proof schemes, of which the most common are proof of work and proof of stake. Since our theorizing proposes, for the first time, the idea of cryptocurrencies employing proof of socially beneficial work, it is also aimed at spurring interest in this idea.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrencies; Mining; Minting; Proof of work; Proof of stake; Proof of socially beneficial work
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【Author】 Tang, Jiahui Ding, Wangwang
【影响因子】10.696
【主题类别】
区块链应用-实体经济-能源领域
区块链应用-实体经济-能源领域
【Abstract】This paper introduces an innovative approach to optimizing the allocation of local workforce and resources in the renewable energy sector through the application of the Modified Bat Algorithm (MBA). By leveraging MBA, the study achieves enhanced precision in decision-making, maximizing the positive impact of urban energy transition on local employment while respecting various constraints. To address the inherent uncertainties associated with the energy transition process, the paper employs a stochastic framework grounded in the Unscented Transform (UT). By incorporating UT, the study captures and analyzes the probabilistic nature of factors such as economic growth, energy production, and environmental impact. This framework provides a robust foundation for decision-making under uncertainty, ensuring the reliability of the proposed assessment model. Recognizing the critical importance of data integrity and security in the assessment of local economic and employment effects, this paper integrates blockchain technology to enhance the trustworthiness of the data transaction process. The use of blockchain ensures transparency, immutability, and security of data, thereby safeguarding the integrity of the results and fostering trust in the assessment outcomes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Urban energy transition; Economic impact; Employment Effects; Optimization; Blockchain Security
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 案例研究
【影响因子】10.427
【主题类别】
区块链应用-实体经济-旅游领域
【Abstract】This systematic review is a trailblazer for the blockchain-based sharing economy concept, mainly in hospitality and tourism. It highlights the potential integration of blockchain across sharing economy sectors (e.g., accommodation, transportation, and business services). Following the PRISMA protocol, 43 publications from 12 scholarly databases were analysed. It identifies different types of implementations, including decentralised apps and specific functionalities that utilise blockchain. Key issues are discussed, including contradictory aspects (transparency vs privacy, centralisation within decentralisation, and users' euphoria vs technical barriers) and advantages (increased security, automated sharing mechanisms, and user participation). The review offers practical implementation paths for blockchain-based sharing economy systems in hospitality and tourism, emphasising the importance of context, scope limitation, focusing on increasing advantages, and managing technological trade-offs. It also suggests critical future research topics and action agendas for hospitality and tourism stakeholders.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Systematic literature review; Sharing economy; Blockchain; PRISMA; Hospitality; Decentralisation
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【Author】 Jiao, Fuhang Lin, Chaonan Dong, Lin Wu, Yi Xiao, Ying Zhang, Zhenfeng Sun, Junlu Zhao, Wen-Bo Li, Shunfang Yang, Xun Ni, Peinan Wang, Lijun Shan, Chong-Xin
【影响因子】10.383
【主题类别】
区块链技术-核心技术-加密算法
【Abstract】Physical unclonable functions (PUFs) have emerged as an unprecedented solution for modern information security and anticounterfeiting by virtue of their inherent unclonable nature derived from distinctive, randomly generated physical patterns that defy replication. However, the creation of traceable optical PUF tags remains a formidable challenge. Here, we demonstrate a traceable PUF system whose unclonability arises from the random distribution of diamonds and the random intensity of the narrow emission from germanium vacancies (GeV) within the diamonds. Tamper-resistant PUF labels can be manufactured on diverse and intricate structural surfaces by blending diamond particles into polydimethylsiloxane (PDMS) and strategically depositing them onto the surface of objects. The resulting PUF codes exhibit essentially perfect uniformity, uniqueness, reproducibility, and substantial encoding capacity, making them applicable as a private key to fulfill the customization demands of circulating commodities. Through integration of a digitized "challenge-response" protocol, a traceable and highly secure PUF system can be established, which is seamlessly compatible with contemporary digital information technology. Thus, the GeV-PUF system holds significant promise for applications in data security and blockchain anticounterfeiting, providing robust and adaptive solutions to address the dynamic demands of these domains.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】physical unclonablefunction; germanium vacancy; diamond; encryption; traceability
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.1021/acsami.4c09768
【Author】 Boumaiza, Ameni
【影响因子】10.010
【主题类别】
区块链应用-实体经济-能源领域
区块链应用-虚拟经济-碳交易
【Abstract】The rise of prosumers - individuals who both produce and consume energy - presents a significant opportunity to reshape energy markets and achieve carbon neutrality. However, current energy trading models struggle to effectively track emissions and incentivize sustainable consumption behaviors. This study introduces a novel, blockchain-based peer-to-peer (P2P) platform for trading carbon allowances, designed to empower prosumers and revolutionize energy consumption patterns. Utilizing blockchain technology, the platform enables direct, transparent, and secure transactions between prosumers, creating a decentralized market where they can set their own prices for carbon allowances. This dynamic and competitive environment empowers prosumers to take control of their energy consumption and incentivizes the adoption of sustainable practices. The platform also incorporates a decentralized reward system targeting specific consumption habits, promoting behaviors that reduce carbon emissions. Empirical evidence and theoretical justification within the study highlight the platform's potential to transform energy consumption patterns. The transparent and verifiable nature of blockchain technology addresses the limitations of existing centralized and aggregator-based trading methods. The proposed platform provides a robust framework for tracking carbon emissions, promoting sustainable consumption, and empowering prosumers to actively participate in the energy transition. This innovative solution addresses the challenges faced by prosumers in the energy market, paving the way for a more sustainable and equitable future.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Renewable energy community; Carbon trading; Decentralized marketplace; IEEE37-bus; Blockchain; Artificial intelligence
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Bathula, Archana Gupta, Suneet K. Merugu, Suresh Saba, Luca Khanna, Narendra N. Laird, John R. Sanagala, Skandha S. Singh, Rajesh Garg, Deepak Fouda, Mostafa M. Suri, Jasjit S.
【影响因子】9.588
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare, addressing critical challenges in securing electronic health records (EHRs), ensuring data privacy, and facilitating secure data transmission. This study provides a comprehensive analysis of the adoption of blockchain and AI within healthcare, spotlighting their role in fortifying security and transparency leading the trajectory for a promising future in the realm of healthcare. Our study, employing the PRISMA model, scrutinized 402 relevant articles, employing a narrative analysis to explore the fusion of blockchain and AI in healthcare. The review includes the architecture of AI and blockchain, examines AI applications with and without blockchain integration, and elucidates the interdependency between AI and blockchain. The major findings include: (i) it protects data transfer, and digital records, and provides security; (ii) enhances EHR security and COVID-19 data transmission, thereby bolstering healthcare efficiency and reliability through precise assessment metrics; (iii) addresses challenges like data security, privacy, and decentralized computing, forming a robust tripod. The fusion of blockchain and AI revolutionize healthcare by securing EHRs, and enhancing privacy, and security. Private blockchain adoption reflects the sector's commitment to data security, leading to improved efficiency and accessibility. This convergence promises enhanced disease identification, response, and overall healthcare efficacy, and addresses key sector challenges. Further exploration of advanced AI features integrated with blockchain promises to enhance outcomes, shaping the future of global healthcare delivery with guaranteed data security, privacy, and innovation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Artificial intelligence; Digital healthcare systems
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【影响因子】8.910
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】One of the main current focuses of global economies and decision-makers is the efficiency of energy utilization in cryptocurrency mining and trading, along with the reduction of associated carbon emissions. Understanding the pattern of Bitcoin's energy consumption and its bubble frequency can greatly enhance policy analysis and decision-making for energy efficiency and carbon emission reduction. This research aims to assess the validity of the random walk hypothesis for Bitcoin's electricity consumption and carbon footprint. We employed both traditional methods (ADF and KPSS) and recently proposed unit root techniques that account for structural breaks and non-linearity in the data series. Our analysis covers daily data from July 2010 to December 2021. The empirical results revealed that traditional unit root techniques did not confirm the stationarity of both bitcoin's electricity consumption and carbon footprint. However, novel structural break (SB) and linearity tests conducted enabled us to discover five SB episodes between 2012 and 2020 and non-linearity of the variables, which informed our application of the newly developed non-linear unit root tests with structural breaks. With the new methods, the results indicated stationarity after accommodating the SB and non-linearity. Furthermore, based on Phillips and Shi (2019)'s test, we identified certain bubble episodes in the bitcoin energy and carbon variables between 2013 and 2021. The major drivers of the bubbles in bitcoin energy consumption and carbon footprint are variables relating to the bitcoin and financial markets activities and risks, including the global economic and political risks. The study's conclusion based on the above findings informs several policy implications drawn for energy and environmental management including the encouragement of green investments in cryptocurrency mining and trading.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin electricity consumption; Bitcoin carbon footprint; Random walk and bubbles; Energy and environmental policies; Structural changes; Non-linearity
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【Author】 Wang, Yi-Xiang Hsueh, Yu-Ling
CCF-C
【影响因子】7.574
【主题类别】
区块链技术-核心技术-存储策略
【Abstract】The advent of blockchain technology has brought major changes to traditional centralized storage. Therefore, various fields have begun to study the application and development of blockchain. However, blockchain technology has a serious shortcoming of data bloating. The reason is that blockchain technology achieves decentralization by storing complete blockchain data at each node, incurring a significant amount of blockchain data. Therefore, each node must spend significant amount of storage space and initialization synchronization time. To solve the above problems, in this research, we propose a secure and agile synchronization framework for low storage blockchains. First, we design a K-extreme segment algorithm, which reduces the synchronization time by returning only the first and last k blocks of each block segment at once to the local storage. Next, we decentrally store the block data of the blockchain by IPFS and establish a backup mechanism by IPFS-cluster. Finally, due to use of distributed storage, the nodes must request un-stored block data from IPFS, causing an increase in the throughput of the blockchain network. To avoid network congestion, we propose the working set algorithm to improve the hit ratio of the local storage and reduce the number of requests to decrease throughput. In summary, our experiments demonstrate that the ratio of full nodes to low storage nodes is significantly lower for nodes with higher storage limits compared to those with lower storage limits. In other words, a higher storage limit results in more low storage nodes which can be permitted to ensure that the blockchain network is robust and reliable. Therefore, our proposed framework can provide reliable low storage nodes for the blockchain. The node can reduce the local storage pressure and can still maintain the full functionality of blockchains.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain synchronization; Blockchain storage; Low storage node; Blockchain data bloating
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Wu, Xiaohua Wang, Jing Zhang, Tingbo
【影响因子】7.307
【主题类别】
区块链技术-核心技术-隐私保护
【Abstract】Blockchain has been widely used for secure transactions among untrusted parties, but the current design of blockchain does not provide sufficient privacy and security for the data on the chain, limiting its application in sensitive information scenarios. To address this problem, we propose integrating fully homomorphic encryption (FHE) to enhance the security of blockchain applications, which can extend the application scope of blockchain and improve the privacy and security of blockchain by the features of FHE. Our scheme classifies FHE into those supporting polynomial and non-polynomial operations and introduces the concept of ciphertext computation conversion into Ethereum, enabling conversion between different ciphertext computation types. Moreover, we analyse the security and correctness to explain the feasibility and availability of the scheme. We carry out comparative experiments using different open-source libraries for fully homomorphic encryption and the time performance evaluation of the ciphertext computation conversion under different thread counts. The experiment results demonstrate the efficiency and usability of our scheme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Security; Fully homomorphic encryption; Privacy-preserving
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】7.041
【主题类别】
区块链应用-实体经济-交通领域
【Abstract】Ground transportation, which includes the road and rail sectors, is a major source of greenhouse gas (GHG) emissions. An emissions trading system (ETS) is one of the environmental policies for controlling carbon emissions from fossil fuel combustion during transport activities. To investigate the status of existing ETS interventions on ground transportation emissions, a comprehensive literature review is conducted, including policy evaluation and comparison, scheme optimization and design, and specific transport behavior interventions. The results show that existing upstream policies are insufficient in stringency and effectiveness, while policy implementation for downstream interventions remains limited. To address these shortcomings, this study proposes a downstream ground transportation emissions trading system (GTETS), incorporating the Internet of Things and blockchain technology. As well as road and rail transportation emissions, the system includes the emissions-related activities of individuals and transportation companies, and its Web3-based technologies provide effective and efficient monitoring, reporting, and verification.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Transportation carbon pricing; Emissions trading system; Ground transportation emissions; Green logistics; Blockchain technology; Web 3.0
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Singh, Rituraj Dwivedi, Gourav
【影响因子】5.992
【主题类别】
区块链应用-实体经济-食品供应链
区块链应用-实体经济-食品供应链
【Abstract】The COVID-19 pandemic has underscored the critical importance of resilience in the agri-food supply chain (AFSC) to ensure a reliable, uninterrupted, and disruption-free food supply for the ever-increasing global population. This study aims to comprehensively rank the multitude of risks faced by the AFSC, which have predominantly been examined in isolation. It develops a strategic framework for mitigating these risks by implementing appropriate resilient strategies. The study employs novel hybrid multi-criteria decision-making techniques, including the fuzzy analytical hierarchy process (F-AHP), fuzzy technique for order preference by similarity to ideal solution (F-TOPSIS), and fuzzy quality function deployment (F-QFD), to prioritise risks, assign weights, and rank various resilient strategies. The study contributes to the existing literature by proposing a systematic and robust strategic framework to facilitate decision-making processes in AFSC resilience management. It advances theoretical understanding and provides practical insights and recommendations for enhancing resilience in AFSC management.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Agri-food supply chain; risk assessment; resilient strategies; MCDM; supply chain management; supply chain resilience; food supply chain disruptions; decision-making framework
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【Author】 Ghosh, Joydev Kumar, Neeraj Al-Utaibi, Khaled A. Sait, Sadiq M. Vo, Van Nhan So-In, Chakchai
【影响因子】5.711
【主题类别】
区块链应用-实体经济-物联网
区块链应用-实体经济-物联网
【Abstract】The challenges and resilience of vehicular ad hoc network (VANET) and deep neural network (DNN) hybrid architectures in terms of reliability in smart cities have attracted much global interest stemming from the rollout of the next generation of intelligent networks. In this paper, we propose a novel distributed DNN (D-DNN) scheme with blockchain to support the Internet of Intelligent Things (IoIT) infrastructure in the VANET environment of the future. In particular, because the communication links between edge nodes are very unstable in VANETs, a new neuro-fuzzy server that serves the dual roles of finding reliable links between edge nodes and performing optimal routing path selection is proposed. Next, a blockchain layer is employed at the edge nodes, which are initially scrutinized before establishing communication links to ensure reliability during data transfer. Then, the proposed D-DNN (PD-DNN) scheme is applied to enhance the performance of the VANET-IoIT architecture by improving the data flow and convergence rate and mitigating erratic variations in output. To address reliability concerns, the coverage probability (CP) metric is investigated as a measure of network connectivity. Furthermore, we present an analysis of the PD-DNN scheme in comparison with the traditional DNN (T-DNN) scheme. Finally, simulation results for VANET-IoIT scenarios show that, subject to data protection and privacy constraints, the CP values corresponding to different communication links are improved to a greater extent under our scheme than under the traditional scheme, demonstrating the feasibility of the proposed scheme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Vehicular ad hoc network (VANET); Blockchain; Deep neural network (DNN); Neuro-fuzzy server
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Putra, Made Adi Paramartha Karna, Nyoman Bogi Aditya Zainudin, Ahmad Kim, Dong-Seong Lee, Jae-Min
【影响因子】5.711
【主题类别】
区块链应用-实体经济-物联网
区块链应用-实体经济-物联网
【Abstract】This paper presents a three-stage optimization mechanism designed to enhance Federated Learning (FL) in Industrial Internet of Things (IIoT) networks. Traditional FL optimizations, which typically focus on a single aspect, fall short in IIoT environments. Our approach integrates a multi-criteria enhancement: first, an Ensembled Client Selection Mechanism (ECSM) selects participants based on accuracy, reputation, and randomness. Second, Adaptive Distributed Client Training (ADCT) dynamically adjusts based on participant performance. Lastly, a Secure and Efficient Communication Channel (SECC), backed by blockchain, meets IIoT's stringent security demands. The evaluation shows TSFed outperforms baseline methods, enhancing FL performance by increasing accuracy and F1-score. Importantly, TSFed improves the efficiency of achieving 80% accuracy on the MNIST dataset by 29.09% over baseline methods, showcasing significant gains in both security and efficiency. This mechanism also exhibits robustness against malicious attacks, setting a new benchmark for FL in IIoT environments.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Adaptive training; Blockchain; Client selection; Federated learning optimization; Industrial internet of things
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】5.659
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】Modern electrical grids have intelligent electronic devices (IEDs) such as protective relays that use internal logic to detect the types of electrical faults. The increasing integration of distributed energy sources and the resulting complexity of electrical grid communication architectures necessitates enhanced robustness of IEDs' monitoring while maintaining security against potential cyber threats. In this study, a backup electrical faulted phase detection method with a distributed ledger technology (DLT) platform was implemented. Cyber Grid Guard software was developed to collect phase currents and voltages transmitted through IEC 61850 GOOSE messages, detect faulted phases from the IEDs using the GOOSE data, and validate the data by hashing them and storing them in the distributed ledger. In this way, the hashed data were run into an electrical faulted phase algorithm based on using a current threshold for detecting the faulted phases in the medium-voltage main feeder of an electrical substation. The detection of the electrical faulted phases was assessed in a real-time simulator with protective relays, meters, the software framework, and DLT in the loop. The proposed method provides secure and reliable backup detection external to the IEDs, and DLT validation enhances system security and trust.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Protective relay; Distributed ledger technology; Blockchain; Fault diagnosis; Power system; Cybersecurity
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
CCF-C
【影响因子】5.047
【主题类别】
区块链技术-核心技术-链下计算
【Abstract】A blockchain is a data structure consisting of a list of blocks containing transactions and maintained by a network of nodes in a decentralized manner. In permissionless blockchains, anyone can contribute to the decentralization and security of the transactions. With the advent of smart contracts, programs whose execution is replicated by all the nodes of the network, the blockchain can be deemed not only a reliable and auditable data repository, but also a secure and verifiable computational infrastructure. However, due to the aforementioned features, the throughput of most permissionless blockchains is low, and executing a smart contract can be expensive, depending on its computational complexity. To mitigate these issues, a popular research line studies the implementation of Layer 2 solutions, which consists of nodes that operate off-chain yet remaining tethered to the blockchain. Our literature analysis revealed that a majority of the research articles surveying Layer 2 technologies and solutions typically classify them on the basis of the Layer 2 operations they perform, as well as their ability to improve the processing capacity of the blockchain. In this paper, instead, we survey the methodologies that provide a secure binding between Layer 2 and the blockchain. We refer to these binding techniques as "proving schemes"which we classify as: data integrity proofs, validity proofs, and fraud proofs. For each proving scheme, we describe its intended purpose, the advantages it offers, the methodologies commonly used to connect the operations performed at Layer 2 with the blockchain, and the applications that benefit from such scheme. Finally, we discuss and compare them to give a general comprehension about how schemes can satisfy general requirements common to most Decentralized Applications.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Layer 2 technologies; Off-chain computation; Trust
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【Author】 Wei, Yinzhen Xu, Qian Peng, Hong
【影响因子】4.996
【主题类别】
区块链技术-协同技术-共识机制
区块链技术-协同技术-共识机制
【Abstract】Consensus plays a crucial role in blockchain technology, with the deleted proof of stake (DPoS) consensus mechanism commonly utilized in both public and hybrid chains. However, the current DPoS mechanism faces challenges such as low node engagement in voting and potential security risks posed by malicious nodes. In response, we propose the DL-DPoS (deep link-delegated proof of stake) mechanism, which builds upon the DPoS framework. The DL-DPoS incorporates the LINK incentive mechanism to encourage inactive nodes to participate in voting and leader selection. Furthermore, a comprehensive credit scoring system based on wealth, performance, and stability is introduced to enhance the security of elected nodes. The verification process is optimized to involve all nodes except the leader node, and mechanisms are in place to handle malicious attacks by degrading or removing offending nodes and redistributing their responsibilities to the LINK group. Performance testing of the DL-DPoS mechanism, conducted through blockchain simulation tests using the GO language, shows a 23% increase in throughput compared to DPoS, with over 95% node participation and improved distribution of rights and equity. These results indicate the enhanced performance, security, and stability of the DL-DPoS consensus mechanism.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Delegated proof of stake; LINK mechanism; Comprehensive credit score
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】4.996
【主题类别】
区块链应用-实体经济-文件管理
【Abstract】File sharing, being the foundation of the Internet, has traditionally relied on a centralized service architecture resulting in significant maintenance costs. Moreover, due to the lack of an effective file management system, instances of sensitive information going out of control and loss of confidentiality in file sharing have occurred frequently. In order to address the difficulty of tamper detection and the lack of supervision in the entire process of file transfer in the current Internet environment, this paper designs a blockchain-based system architecture for secure sharing of electronic documents. An efficient blockchain model is used in our framework, and with the help of distributed storage system and asymmetric encryption technology, file sharing can be controlled, reliable and traceable in the transfer process. Referring to existing consensus mechanisms, e.g., Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance (PBFT), we propose a new consensus for efficient and secure file sharing. Our experimental results show that our framework can maintain a higher throughput than existing schemes
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【影响因子】4.890
【主题类别】
区块链应用-虚拟经济-加密货币
【Abstract】This study investigates the relationship between emotional trends derived from X platform data and the market dynamics of prominent cryptocurrencies-Cardano, Binance, Fantom, Matic, and Ripple-during the period from October 2022 to March 2023. Utilizing SenticNet, key emotions such as fear and anxiety, rage and anger, grief and sadness, delight and pleasantness, enthusiasm and eagerness, and delight and joy were identified. The emotional data and cryptocurrency price data, sourced bi-weekly, were analyzed to uncover significant correlations. The findings reveal that emotions such as delight and pleasantness and delight and joy have the strongest positive correlations with Fantom's price, while delight and pleasantness exhibit the strongest negative correlations with Cardano and Binance. The study highlights the nuanced impact of specific emotional states on cryptocurrency prices, offering valuable insights for market participants.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Emotion; SenticNet
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【影响因子】4.761
【主题类别】
区块链应用-实体经济-企业管理
【Abstract】We investigate whether corporate adoption of blockchain technology is associated with a change in firms' financial reporting behavior. On one hand, the features of blockchain technology (immutability, decentralized consensus, and real-time data sharing) can enhance data integrity, suggesting corporate blockchain adoptions may reduce earnings management. However, despite fast growth in blockchain adoptions, it remains unclear whether improved financial reporting quality or reduced accounting manipulation is a motivating factor in firms' blockchain adoption as firms vary in how they implement this new technology. On the other hand, the hype and/or increased expectations associated with blockchain adoptions, as well as the market's misperception that blockchain adoption could increase data integrity, may incentivize and provide opportunity for firms to upwardly manage earnings. We conduct our tests in the setting of the supply chain, as prior work establishes that shocks to one firm can impact linked firms through customer-supplier relationships. Our empirical evidence supports the latter prediction, as we find robust evidence that supplier firms' earnings management increases after their customers adopt blockchain. This result holds with numerous robustness tests. We provide direct evidence consistent with hype/increased expectations and reduced monitoring of supplier firms. Our findings suggest unintended consequences of blockchain adoption on financial reporting.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Earnings management; Supply chain; Market expectation; Monitoring
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【Author】 Leng, Jie Qi, Xin Hao, Daoqing
【影响因子】4.426
【主题类别】
区块链应用-实体经济-水利领域
区块链应用-实体经济-水利领域
【Abstract】In the context of blockchain technology facilitating sustainable development in industries with high water consumption, this study constructs a differential game model for the operations of such industries, based on their current product manufacturing and sales scenarios. Our analysis centers on four distinct scenarios, each representing a unique amalgamation of power dynamics and blockchain integration. We selected the production and sales processes of Shanghai K Textile Company as our case study, conducting an exhaustive simulation analysis. Our research emphasizes the critical role of collaborative decision-making among industry stakeholders. Such cooperation encourages high-water users to invest in water conservation measures, enhancing the water-saving properties of their products by approximately 85%. This mode has led to a substantial increase in market demand and overall industry revenue, improving by more than 1.6 times under conditions of Pareto optimality. Notably, in environments where consumer skepticism is pronounced (exceeding 0.067), blockchain technology proves to be an effective solution. It serves as a potent mechanism that motivates enterprises with high water usage to bolster their water conservation efforts, thus significantly improving product water efficiency. Furthermore, our study identifies the economic conditions under which retailers are likely to adopt blockchain technology. These insights offer valuable guidance for promoting sustainable development in water-intensive industries.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】High-water-consumption industry; Water conservation decision; Blockchain; Differential game; Sustainable development
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】4.407
【主题类别】
区块链应用-实体经济-企业管理
【Abstract】This paper explores the factors that facilitate and impede blockchain technology adoption (BTA) within business organizations. Analysing 112 scholarly articles via thematic and bibliometric methods reveals a complex adoption landscape, highlighted by the proposition of an innovative conceptual framework that augments the conventional technology-organization-environment (TOE) framework. This augmented framework integrates enabling factors, such as enhanced security mechanisms via smart contracts, and barriers, including scalability challenges and regulatory limitations. The research offers significant insights into cultivating a conducive ecosystem for BTA within organizations and provides practical implications.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; adoption; business value; systematic literature review; blockchain technology adoption framework
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【Author】 Sharma, Ravi Villanyi, Balazs
【影响因子】4.325
【主题类别】
区块链应用-实体经济-物联网
区块链应用-实体经济-物联网
【Abstract】Oil and gas pipeline (OGP) projects worldwide are confronted with numerous security and safety risks, particularly in the oil and gas-producing countries that suffer from insecure environments and poor safety records.The present low oil price environment has prompted theOGP industry to adopt smart field technologies to enhanceoperational and asset efficiency, minimize health, safety,and environmental risks, reduce capital and operating costs,and maximize capital productivity. The industrial Internet ofThings (IIoT) plays a key role in this digital transformation byenabling real-time data collection, processing, and analysisfrom diverse equipment, processes, and operations. How-ever, few studies have addressed the safety and securityissues of data transmission in complex OGP environments.To overcome this challenge, we propose a safe and secureOGP transportation system based on a general IIoT systemarchitecture that is lightweight and requires low computational power for constrained IIoT devices. The consensusalgorithm and blacklisting mechanism are leveraged to detect and address device failure or hijacking, while theblockchain and corresponding consensus algorithm are employed to solve the data storage problem for variousnetwork entities and cloud servers (CSs). Finally, the security analysis validates that the proposed protocol satisfiesits security objectives, and experimental results demonstrate its feasibility and efficiency in terms of computational andcommunication costs when compared to other state-of-the-art schemes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】5G; blockchain; industrial Internet of Things (IIoT); Industry 4.0; oil and gas pipeline (OGP)
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】4.325
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Smart communication using sensors and wireless structures is gaining rapid growth from remote sensing across the globe. Many surveillance systems use next-generation Internet of Things (IoT) technologies to get online data over the distributed network. Such a system speeds up daily routing communication and increases data observation efficiency for urban areas. In recent decades, many solutions have been developed to overcome data fusion problems in urban sensing systems. However, numerous approaches are still needed to build learning algorithms for heterogeneous networks with adequate transmission delays. Such networks are required to manage wireless technologies effectively while transporting massive data toward a cloud network. Furthermore, unauthorized devices with controlling computing capabilities should be kept away from network services. This work presents a protocol for distributed fault-tolerant data sharing (DFTDS) in smart cities with security by exploring software-defined network (SDN) technologies and offers the most reliable urban network. First, heterogeneous nodes and devices establish collaborative strategies for collecting and distributing the data on the low-constraint links with intelligent collaborative methods. Second, using the self-organizing scheme, the nodes are distributed over the paths and achieve green communication with global optimization criteria. In the end, the hashing scheme increases security levels for devices in terms of privacy and verification against network anomalies. The performance results show effective outcomes for packet delivery, network latency, link disconnection, network complexity, and alive nodes in dynamic scenarios as compared to other work.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; optimization criteria; public infrastructure; security; urban cities
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Zhou, Yan Liang, Cong Wong, Kar-Hung
【影响因子】3.889
【主题类别】
区块链应用-实体经济-供应链
区块链应用-实体经济-供应链
【Abstract】The booming development of e-commerce has promoted the diversified development of logistics distribution services (LDS). For LDS, e-commerce retailers (e-retailers) often choose either the outsourced logistics distribution services strategy (OLDSS) or the self-built logistics distribution services strategy (SBLDSS). Although there are problems such as products getting lost and damaged during the logistics distribution process, the high transparency and traceability characteristics of blockchain technology (BT) can help solve the problem of products being lost and damaged in the logistics distribution process. However, due to the high cost of BT, e-retailers may encounter reduced sales, which causes the supply chain corporate profits to decrease. To encourage the BT investment enthusiasm of the e-retailers and regulate corporate profits, the government implements subsidies for e-retailers' BT, namely, the government blockchain subsidy (GBS). In addition, in recent years, environmental degradation has become increasingly severe, causing negative impacts on people's lives. To promote sustainable development, we use variational inequality to establish an e-commerce closed-loop supply chain (E-CLSC) network equilibrium model in which the network equilibrium decisions of e-retailers choosing the OLDSS and those choosing the SBLDSS are obtained. Then, we analyze the impact of the BT input cost and the GBS quota on equilibrium decisions by studying their properties and verifying the theoretical results by performing numerical examples. Finally, we analyze the profits of the e-retailers to obtain the impact of the BT input cost and the GBS quota on e-retailers' choice of the optimal LDS strategy; in this way, we provide a scientific basis for e-retailers to choose the optimal LDS strategy. The results show that increasing the BT input costs reduces e-retailers' product sales under the two LDS strategies, which decreases the production rate and the recovery rate of the products. When the BT input cost is low, SBLDSS is the best choice for e-retailers. When the BT input cost is high, OLDSS is the best choice for e-retailers. Moreover, there is a positive correlation between GBS and e-retailers' product sales; thus, GBS is conducive to expanding market demand, regulating the profits of manufacturers, increasing the e-retailers' profits, improving the enthusiasm of the e-retailers for BT investment, and promoting the overall development of supply chain enterprises. For e-retailers, choosing the OLDSS can lead to a better development of the E-CLSC.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】e-commerce; closed-loop supply chain network; logistics distribution services; blockchain technology; government subsidy; sustainability
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【DOI】 10.3390/su16156294
【Author】 Zhang, Xuemei Zheng, Haodong Hang, Tao Meng, Qiang
【影响因子】3.889
【主题类别】
区块链应用-实体经济-供应链
区块链应用-实体经济-供应链
【Abstract】Enterprises adopting a circular economy approach can effectively solve the severe situation of resources and the environment, and recycling is considered an effective means to solve environmental issues. Simultaneously, blockchain technology (BT) has been used to enhance product quality trust. However, there is limited literature on how to choose between monopolistic and competitive recycling modes by considering BT. This paper uses a game involving a manufacturer, a retailer, and a third-party recycler (TPR) in a closed-loop supply chain (CLSC). The retailer can recycle on itself and compete with the TPR for recycling used products. The results show that BT adoption could increase the recycling rate and demand for remanufactured products. BT benefits the firms in the CLSC when they control usage costs, regardless of whether competitive recycling mode is used or not. In addition, whether BT is adopted or not, CLSC firms prefer competitive recycling mode only when the competitive intensity exceeds a specific threshold. Moreover, choosing an appropriate recycling mode can alleviate the negative impact of BT on the environment, then an all-win result can be obtained for CLSC firms, consumers, and society. These results can give suggestions for managers to optimize their supply chains regarding adopting BT and implementing recycling mode. In the future, we can expand our research on the transfer price of used products, the positive and negative effects of BT, and BT cost-sharing strategies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】closed-loop supply chain; recycling mode; blockchain technology; competitive recycling
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【DOI】 10.3390/su16156296
【Author】 Xie, Anna Hu, Xi Wang, Mindao Zhao, Xindong
【影响因子】3.889
【主题类别】
区块链应用-虚拟经济-区块链游戏
【Abstract】With the popularity of Play-to-Earn (P2E) games, in-game token economies have become the foundation of the financial structure of virtual worlds. More and more players are investing in digital assets, promoting long-term economic growth. This paper delves into the key factors for the sustainability of the P2E game token economy: the investment value of tokens and external incentives. When tokens are no longer profitable, user churn rates rise sharply, which is critical to the continued development of P2E games. External factors also significantly impact token prices, which affects the stability and sustainability of the entire economic system. In response to these challenges, this paper proposes a series of strategies to enhance token stability, including adjustments to game design, improvements to player incentive mechanisms, and the formulation of relevant policies and regulations. The conclusions of this study aim to provide valuable insights and guidance to game designers, investors, and players to promote the healthy development of Web3 game token economic systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Play-to-Earn (P2E); token economic system; sustainability; number of active users; Web3
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【DOI】 10.3390/su16156587
【Author】 Espahbod, Shervin Tashakkori, Arash Mohsenibeigzadeh, Mahsa Zarei, Mehrnaz Arani, Ghasem Golshan Dzikuc, Maria Dzikuc, Maciej
【影响因子】3.889
【主题类别】
区块链应用-实体经济-供应链
【Abstract】This study investigated the impact of blockchain-driven supply chain analytics on the dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain management, as well as supply chain innovation (SCI) and sustainable supply chain performance (SSCP). The research involved 262 managers and vice presidents of supply chains from large- and medium-sized manufacturing companies listed in the Tehran Stock Exchange. A hybrid approach utilizing structural equations modelling with partial least squares-structural equation modeling (PLS-SEM) and the adaptive neuro-fuzzy inference systems (ANFIS) technique was employed for data analysis. The findings demonstrated a significantly positive effect of blockchain-driven supply chain analytics on SCI, the LARGS supply chain, and SSCP. Additionally, SCI exhibited a significantly positive impact on the LARGS supply chain and SSCP. Moreover, the LARGS supply chain was shown to have a significantly positive influence on SSCP. Both SCI and the LARGS supply chain played positive and significant mediating roles in the impact of blockchain-driven supply chain analytics on SSCP. Furthermore, the LARGS supply chain also acted as a significant mediator in the effect of SCI on SSCP. Lastly, SCI had a positive and significant mediating role in the impact of blockchain-driven supply chain analytics on the LARGS supply chain. In conclusion, it can be inferred that blockchain-driven supply chain analytics contributes to the enhancement of SSCP through the facilitation of SCI and the promotion of LARGS supply chain principles.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; supply chain innovation; LARGS supply chain; sustainable supply chain performance
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【DOI】 10.3390/su16156469
【Author】 Biasin, Massimo Delle Foglie, Andrea
【影响因子】3.889
【主题类别】
区块链应用-实体经济-智慧城市
【Abstract】Smart cities are urban areas that leverage technological solutions to enhance traditional network management and efficiency to benefit residents and businesses. Based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, this study presents a systematic literature review aimed at analyzing the existing literature on smart cities research. The literature review specifically focuses on the impact of blockchain technology on the urban environment and its potential to contribute to the development of inclusive and sustainable communities, including financial systems and infrastructures with similar characteristics to serve these societies. The findings reveal a lack of studies on the practical applications of distributed ledger technologies (DLTs), particularly blockchain, that specifically focus on the urban context capable of developing the (financial) ecosystem of smart cities. To address this gap, a future research agenda is proposed, highlighting several research questions that could guide academics and practitioners interested in exploring the development of smart city systems, with particular attention on the financial framework.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】smart cities; sustainable development; urban agenda; blockchain; distributed ledger technologies (DLTs)
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【DOI】 10.3390/su16156669
【Author】 Maya, P. Salam, P. Abdul
【影响因子】3.858
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】Adapting to horizontal market structures faces several drivers and challenges in the context of sustainable energy transition. The inherently decentralized nature qualifies blockchain technology as the major technical driver in the transition to peer-to-peer (P2P) energy market models. One major technical challenge encountered in the transition process is the active power loss associated with transactions, which can cause network congestion and economic loss. A review of existing research on the P2P transaction active power loss problem, examining the potential role of blockchain and the consequent additional costs incurred by blockchain transactions, is presented in this article. Consolidating major points and guiding observations for future research are provided to address the challenges while adapting to the potential driving blockchain technology. A conceptual peer-to-peer trading framework that considers blockchain transaction cost and active power loss compensation is also presented.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】decentralization; peer-to-peer energy trading; blockchain technology; peer-to-peer active power losses; blockchain usage cost
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【影响因子】3.778
【主题类别】
区块链治理-市场治理-投资风险
【Abstract】For digital assets (cryptocurrencies, DeFi tokens and NFTs) and traditional financial assets such as stock indices and commodities, this paper established a dynamic downside risk network to explore the network aggregating structure, important nodes and the tail risk spillover between asset groups. This study reveals that there exist tail risk spillover between digital financial assets and traditional financial assets, where the risk spillover between the digital assets and the commodities is bidirectional and the risk spillovers from the stocks to the digital assets as well as the commodities to stocks are unidirectional. For important assets, the NFT Decentraland and Brazil's BVSP stock index play central roles in the network, while the FTSE stock index and gold exhibit strong hedging potential against global downside risk spillovers. Furthermore, we consider the impact of uncertainty in US economic policy and US stock volatility on tail risk contagion, which is the network aggregation level. Regarded as exogenous shocks, the US stock circuit breaker in March 2020 and the US Federal Reserve rate rising in March 2022 were found to significantly increase the tail risk contagion, especially the risk spillover from the stocks market to the digital financial market. Moreover, by using the TVP-SV-VAR model, we find that increases in the US EPU index and the US VIX index can both exacerbate the tail-risk contagion between digital and traditional financial assets. This expands the influencing factors of risk contagion between financial assets. The empirical findings carry important implications not only for portfolio managers and investors in portfolio allocation and investment strategies between digital and traditional financial assets, but also for government regulators in risk management and economic policy formulation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Digital financial assets; Traditional financial assets; Interconnections; Tail risk contagion network; Delta CoVaR; Uncertainty
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【影响因子】3.776
【主题类别】
区块链应用-实体经济-智慧城市
【Abstract】In smart buildings, digital construction technologies can support more efficient management of data and information related to building components. This paper aims to draw a robust linking mechanism between digital construction technologies that support smart buildings and smart city development to satisfy building users' expectations. Data was attained using a qualitative approach via secondary data from literature and primary data in the context of case study with building users. The study suggests the importance of recognising single/multi-purposed data to support better synergy between digital construction technologies and in smart buildings and smart city development to satisfy building users' expectations.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】BIM; IoT; Blockchain; Smart buildings; Smart city; Building users
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【Author】 Aslam, Muhammad Shehzad Altaf, Ayesha Iqbal, Faiza Nigar, Natasha Galan, Juan Castanedo Aray, Daniel Gavilanes Diez, Isabel de la Torre Ashraf, Imran
【影响因子】3.752
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The IoT (Internet of Things) has played a promising role in e-healthcare applications during the last decade. Medical sensors record a variety of data and transmit them over the IoT network to facilitate remote patient monitoring. When a patient visits a hospital he may need to connect or disconnect medical devices from the medical healthcare system frequently. Also, multiple entities (e.g., doctors, medical staff, etc.) need access to patient data and require distinct sets of patient data. As a result of the dynamic nature of medical devices, medical users require frequent access to data, which raises complex security concerns. Granting access to a whole set of data creates privacy issues. Also, each of these medical user need to grant access rights to a specific set of medical data, which is quite a tedious task. In order to provide role-based access to medical users, this study proposes a blockchain-based framework for authenticating multiple entities based on the trust domain to reduce the administrative burden. This study is further validated by simulation on the infura blockchain using solidity and Python. The results demonstrate that role-based authorization and multi-entities authentication have been implemented and the owner of medical data can control access rights at any time and grant medical users easy access to a set of data in a healthcare system. The system has minimal latency compared to existing blockchain systems that lack multi-entity authentication and role-based authorization.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【Author】 Khonakdari, Hossein Mehri Saghdel, Hossein Sadeghi Arani, Abbas Assari Mozayani, Amir Hossein
【影响因子】3.745
【主题类别】
区块链治理-市场治理-代币经济学
【Abstract】Since 2008, when Bitcoin was introduced as the first cryptocurrency, the world has witnessed a rapid growth of cryptocurrencies. Along with the rapid growth of cryptocurrencies, the need for study and research in this field increases. The effects of the expansion of cryptocurrencies on the economy is one of the important challenges in this field. In this paper, the expansion of cryptocurrencies in Iran's economy has been investigated using the SWOT method. The strengths, weaknesses, opportunities, and threats of cryptocurrencies were examined and presented in the form of a $2 \times 2$2x2 table. Then, to quantify the results, the AHP method was used and the items specified in the SWOT method were prioritised by using experts' opinions. Finally, the appropriate strategies in this field for Iran's economy were explained.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; SWOT analysis; MCDM; AHP
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【影响因子】3.721
【主题类别】
区块链技术-协同技术-云计算
【Abstract】With the development of cloud computing, verifiable outsourcing computation (VC) has received much more attention. The polynomial is a fundamental mathematical function with widespread applications. Plenty of VC schemes for polynomials have been proposed recently. However, most previous schemes focus on ensuring that the client can get a valid result returned by the cloud service provide (CSP) before payment, while often ignoring the CSP's interest. To the best of our knowledge, Guan et al. (2021) proposed a pioneering framework for building fair outsourcing polynomial computation, which serves as the state of the art. However, it discloses the privacy of outsourced polynomials, inputs, and outputs. Furthermore, it suffers from a false positive rate (FPR) in the verification phase due to the sampling technique. As a result, it breaks the fairness between the client and the CSP. To solve these problems, we propose a privacy-preserving fair outsourcing polynomial computation without FPR. To avoid expensive Fully Homomorphic Encryption (FHE), we utilize Paillier encryption and blind technique to ensure privacy. Our proposed scheme can guarantee fairness with an overwhelming probability by applying the SGX technique. The comprehensive performance evaluation and extensive simulations show that our protocol is more practical in cloud computing.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Outsourcing computation; Blockchain; Polynomial computation; Public verification
【发表时间】2025
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】3.721
【主题类别】
区块链技术-核心技术-共识机制
区块链技术-核心技术-共识机制
【Abstract】Blockchain technology, successful in cryptocurrency, holds transformative potential for various industries. In decentralized applications driven by blockchain, acquiring non-digitally verifiable data is crucial, particularly in smart contracts. To facilitate the transfer of off-chain data from websites to the blockchain, several studies have proposed various centralized and decentralized blockchain Oracles. However, centralized Oracles reintroduce central risks, such as the Single Point of Failure, while decentralized Oracles consistently rely on a voting mechanism, which incurs additional vulnerabilities and substantial costs. In this work, we uncover a misdirection attack in decentralized Oracles, resulting in a diminished security region in blockchain consensus. This manifests as prolonged settle times and reduced upper bounds for tolerance of adversarial consensus chip. By formalizing the voting process as a discrete-time Markov chain (DTMC), we further demonstrate that the maximum stake of the adversary for launching a misdirection attack is less than 50%. To counteract this threat, we introduce a novel voting model that relies on chain length rather than block data for voting. Formally, we propose the definition of our model named VoteFork. . Following this, we present the specific consensus-based blockchain Oracle protocol, PSCBO. This protocol involves blockchain clients collecting and providing Oracle data, with an epoch-based voting mechanism to verify each set of Oracle information. We also analyze the security of the PSCBO backbone VoteFork, , demonstrating its security region akin to a typical blockchain. Finally, we implement a proof-of-concept system to validate the security region and further underscore the practicality. Both security analysis and experiments affirm that PSCBO exhibits a higher adversarial fault tolerance and shorter waiting time to confirm transactions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Consensus; Blockchain Oracle; Smart contract
【发表时间】2025
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Sakraoui, Sabrina Ahmim, Ahmed Derdour, Makhlouf Ahmim, Marwa Namane, Sarra Ben Dhaou, Imed
【影响因子】3.476
【主题类别】
区块链技术-协同技术-6G
【Abstract】The coming 6G wireless network is poised to achieve unprecedented data rates, latency, and integration with newer technologies like AI and IoE. On the other hand, along with this kind of growth in the AI domain and the large-scale connectivity in 6G. It is also going to raise many security concerns at the level of intrusion detection and prevention. For intrusion detection, centralized approaches won't be able to work effectively, therefore there is an utmost need to design decentralized and privacy-preserving solutions. In this work, we propose a novel secure gradients exchange algorithm for distributed intrusion detection in 6G networks. Our method is designed to take into account the use of Federated Learning with secure multi-party computation and blockchain technology. This way ensures that the collaborating parties are able to conduct the training of intrusion detection models in a secure and collaborative manner by retaining privacy in the data. Gradient compression and adaptive secure aggregation strategies are used to further optimize communication overhead and computational complexity. Therefore, our design works in a robust and efficient manner with the high data rates and huge connectivity that 6G networks will provide. To achieve our goal, experiments using the CICIoT2023 dataset were performed, and results showed that our federated learning-based hybrid model composed of CNN1D and a multi-head attention mechanism outperformed other well-known deep learning models in terms of performance. It achieved the highest average accuracy with 79.92%, the highest average detection rate with 77.41%, and a low false alarm rate with 2.55%.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】6G mobile communication; Intrusion detection; Security; Accuracy; Data models; 5G mobile communication; Deep learning; Computer security; Blockchains; Machine learning; Convolutional neural networks; Long short term memory; Federated learning; 6G; computer security; network security; intrusion detection; IDS; blockchain; IoT; machine learning; deep learning; multi-head attention CNN; LSTM; hybrid model; anomaly detection; federated learning
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【影响因子】3.476
【主题类别】
区块链应用-实体经济-物联网
区块链应用-实体经济-物联网
【Abstract】The security of Industrial Supply Chain (ISC) has emerged through the integration of Industrial Internet of Things (IIoT) and Blockchain (BC) technology. This new era involves effectively protecting IIoT systems from various threats and ensuring their smooth operation and resilience against potential cyber-attacks. Within the ISC ecosystem, combining machine learning (ML)-based security models for cyber-attack detection can play a crucial role in enhancing the ISC security and proactively identifying potential threats. This paper presents a BC-enabled ISC that embed ML security model integrated within a multi-layered approach. We conducted a comparative study and performance analysis of several ML classification techniques, with a focus on supervised methods to identify the lightweight model for cyber-attack detection suitable for deployment in resource-constrained IIoT environment. We investigate the performance of Gaussian Naive Bayes (NB), K-Nearest Neighbors (KNN), Random Forest (RF), Decision Tree (DT), and three ensemble techniques, namely Bagging, Stacking, and Boosting. The study employs the WUSTL-IIOT-2021 imbalanced dataset, which contains samples representing four types of attacks, including denial of service (DoS), SQL injection, reconnaissance, and backdoor. The paper addresses the imbalance in class representation by customizing the dataset for training and testing the ML models. Both Mutual Information (MI) and Extra-trees (ET) are applied as a one-stage ensemble feature selection. The performance of the ML models are investigated using classification accuracy (Acc), precision, recall, F1 score, Matthews correlation coefficient (MCC), model size (Mem), training time (TT) and prediction time (PT).
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Industrial Internet of Things; Security; Cyberattack; Biological system modeling; Nearest neighbor methods; Radio frequency; Monitoring; Supply chains; Detection algorithms; Blockchains; Industrial supply chain; industrial Internet of Things; security; cyber-attacks; detection; machine learning; blockchain; lightweight
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【影响因子】3.476
【主题类别】
区块链应用-实体经济-软件开发
【Abstract】Distributed Scrum of Scrums Agile Software Development (DSsASD) plays a crucial role in modern software development, enabling collaboration across vast distances in software development. However, existing tools and frameworks have struggled to effectively address communication, teamwork, and collaboration challenges within DSsASD teams. These challenges include transparency, trust, traceability, auditability, and security concerns, these issues are related to project delays, client dissatisfaction, contract cancellations, miscommunication collaboration, and payment disputes between stakeholders. To tackle these persistent concerns and issues, this article introduces ChainAgilePlus, a novel framework that integrates blockchain technology in the distributed scrum of scrum agile software development. ChainAgilePlus implements smart contracts by utilizing a private Ethereum blockchain to govern acceptance acknowledgment, deployment testing, secure payments, verification of developer payments, and automated payment distribution to team wallets. Smart contracts also enforce penalties for delayed payments and overdue tasks, promoting accountability and adherence to deadlines. Additionally, ChainAgilePlus mitigates blockchain scalability challenges by integrating the Interplanetary File System (IPFS) for off-chain storage. Empirical results from experimental processes demonstrate the effectiveness of ChainAgilePlus in enhancing communication, transparency, coordination, traceability, auditability, security, and trust among clients and developers in DSsASD projects.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Scrum (Software development); Smart contracts; Security; InterPlanetary File System; Scalability; Decentralized applications; Scrum of scrums; smart contracts; distributed scrum of scrums agile; Ethereum blockchain; blockchain technology; interplanetary file system
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【Author】 Ali, Mohammed Eunus Cheema, Muhammad Aamir Hashem, Tanzima Ulhaq, Anwaar Babar, Muhammad Ali
【影响因子】3.292
【主题类别】
区块链技术-协同技术-数字孪生
【Abstract】A Digital Twin (DT) is a virtual replica of a physical object or system, created to monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) is a specific type of digital twin that emphasizes the geospatial aspects of the physical entity, incorporating precise location and dimensional attributes for a comprehensive understanding of its spatial environment. With the recent advancement in spatial technologies and breakthroughs in other computing technologies such as Artificial Intelligence (AI) and Machine Learning (ML), the SDTs market is expected to rise to 25 billion, covering a wide range of applications. The majority of existing research focuses on DTs and often fails to address the necessary spatial technologies essential for constructing SDTs. The current body of research on SDTs primarily concentrates on analyzing their potential impact and opportunities within various application domains. As building an SDT is a complex process and requires a variety of spatial computing technologies, it is not straightforward for practitioners and researchers of this multi-disciplinary domain to grasp the underlying details of enabling technologies of the SDT. In this paper, we are the first to systematically analyze different spatial technologies relevant to building an SDT in a layered approach (starting from data acquisition to visualization). More specifically, we present the tech stack of SDTs into five distinct layers of technologies: (i) data acquisition and processing; (ii) data integration, cataloging, and metadata management; (iii) data modeling, database management & big data analytics systems; (iv) Geographic Information System (GIS) software, maps, & APIs; and (v) key functional components such as visualizing, querying, mining, simulation, and prediction. Moreover, we discuss how modern technologies such as AI/ML, blockchains, and cloud computing can be effectively utilized in enabling and enhancing SDTs. Finally, we identify a number of research challenges and opportunities in SDTs. This work serves as an important resource for SDT researchers and practitioners as it explicitly distinguishes SDTs from traditional DTs, identifies unique applications, outlines the essential technological components of SDTs, and presents a vision for their future development along with the challenges that lie ahead.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Spatial Digital Twins, Spatial Database, Spatial Technologies, Digital Twins
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【Author】 Taouil, Khaled Aloulou, Rahma Bradai, Salma Gassara, Amal Kharrat, Mohamed Wajdi Louati, Badii Giordani, Michel
【影响因子】3.252
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】Swarm electrification-driven communities face significant challenges, including implementing advanced distributed control in areas with limited ICT access and establishing trust among villagers hesitant to grant access to their assets. This paper proposes a distributed DC microgrid architecture for P2P energy exchange in these communities, ensuring stability and an effective exchange operation. By implementing a Blockchain marketplace specifically designed to suit the rural context, the proposed architecture ensures tracing of exchange transactions to fairly settle participants. Validation experiments demonstrate its efficacy in achieving peak shaving. It provides 11% of the requester's total demand from the community even while maintaining the constraint of reducing discharge-charge cycles to one per day, thereby preserving battery life. Additionally, the solution reduces prosumer production losses by 16% of the total PV production.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】swarm electrification; rural PV communities; DC microgrids; Blockchain; P2P energy exchange; community-shared loads
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.3390/en17153680
【影响因子】2.853
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】This study investigates the integration of cutting-edge financial technologies, such as distributed ledger diversity, next-generation payment trackers, democratized banking, and cryptocurrency, and their impact on global sustainability and ethical ratings in Islamic markets. Our analysis spans the period from May 31, 2018, to May 10, 2023, and uses a novel analytical framework based on quantile time-frequency connectedness and causality analysis. Results showed that democratized banking, future payment opportunities, and sustainability-screened markets had stronger associations than distributed ledger technologies and crypto-based tokenization. Second, Islamic sustainable markets have slightly closer ties to the digital financial ecosystem than traditional responsible investments. Third, causality analysis revealed bidirectional relationships between sustainable markets and democratized banking and potential payment opportunities in the short to mid-term. Fourth, in the short term, there was unidirectional causality from conscious markets to investments in digitized currencies and blockchains; however, no long-term causality between the digital financial ecosystem and sustainability investments. Fifth, the diversity of distributed ledgers had a limited relationship with green investments, whereas advanced transaction monitoring platforms and inclusive financial infrastructure could serve as catalysts for nature-based portfolios. These findings inform policymakers in green finance and provide insights for digital financial network strategists, investors, and regulators, enabling sustainable interdisciplinary investment practices. This comprehensive examination sheds light on the evolving landscape of sustainable finance in the context of rapidly advancing financial technologies, paving the way for informed decision-making and strategic planning in the field of green investments.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Financial ecosystem; Sustainability; Future payments; Distributed ledger technology; Inclusive banking; Cryptocurrency; Blockchain
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【影响因子】2.838
【主题类别】
区块链应用-实体经济-医疗领域
区块链应用-实体经济-医疗领域
【Abstract】In the current landscape of medical data management, processing data across diverse institutions and maximizing their value are paramount. However, traditional methods lack a secure and efficient mechanism for end-to-end traceability and supervision, posing challenges in distributed scenarios lacking mutual trust. Leveraging blockchain's decentralized, tamper-proof, and traceable features, this paper introduces a blockchain-based medical data management platform. This platform enables full-process management of raw data, operational behaviors, intermediate data, and final data, meeting the needs of trusted storage and supervision of data. We propose two methods, namely, naive method and DAG-based method, to realize forward tracking and backward tracing of medical data stored on the blockchain, respectively. We validated and analyzed the storage and query performance of the medical data management platform on real medical data, and we also conducted experimental analyses on the efficiency of the proposed traceability algorithm under different data scales and processing path lengths. The results demonstrate that our platform and traceability methods effectively meet the management needs of medical data distributed across institutions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain technology; data provenance; data management; DAG
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.3390/app14156816
【Author】 Spanos, Achilleas Kantzavelou, Ioanna
CCF-C
【影响因子】2.701
【主题类别】
区块链应用-实体经济-投票领域
【Abstract】Conventional electing procedures cannot fulfill advanced requirements in modern times. Secure electronic voting systems have been a concern of many researchers for years to replace traditional practices. Decentralized approaches, such as Blockchain technology, are essential to provide compulsory guarantees for secure voting platforms, that hold the properties of transparency, immutability, and confidentiality. This paper presents EtherVote, a secure decentralized electronic voting system, which is based on the Ethereum Blockchain network. The EtherVote is a serverless e-voting model, relying solely on Ethereum and smart contracts, that does not include a database, and thus it enhances security and privacy. The model incorporates an effective method for voter registration and identification to strengthen security. The main properties of EtherVote include encrypted votes, efficiency in handling elections with numerous participants, and simplicity. The system is tested and evaluated, vulnerabilities and possible attacks are exposed through a security analysis, and anonymity, integrity, and unlinkability are retained.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】EtherVote; Blockchain; e-Voting; Ethereum; Smart contract; Metamask
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Klasen, Lena Fock, Niclas Forchheimer, Robert
【影响因子】2.676
【主题类别】
区块链应用-实体经济-公安领域
【Abstract】Digital transformation rapidly changes how we live our lives in the post pandemic world. Unfortunately, digital technology is not limited to law abiding organisations and citizens. Criminal organisations and individuals are quick to identify new opportunities with new technologies, and digital transformation is dramatically changing the character of crimes, terror, and other threats. The fast emergence of new crimes is facilitated by possibilities brought by disruptive technologies such as AI, Internet of Things, drones, and cryptocurrencies that can be disastrous tools in the hands of criminals. Consequently, our society needs far better capacity to prevent and investigate criminal acts to protect organisations and citizens. This brings an urgent need to proactively reform digital forensics to significantly increase our capability to meet the strain on society brought by crimes evolving in the digital transformation era. The future of forensic science is already here, characterized by a mix of opportunities and challenges. It is essential to make it harder to effectively use digital technologies for criminal activities, while leveraging the possibilities of digital technologies by those affected, law enforcement agencies, business and organisations. As digital technologies continue to evolve, we need to stay up to date with the latest developments to effectively investigate and prosecute crimes in the digital age. There is an increased reliance on digital evidence, and the amount of heterogeneous digital evidence in criminal cases keep increasing. The forensic science techniques thus become more sophisticated and play an increasingly important role. However, the scientific area is extremely broad, and beyond the capability of most forensic science labs to keep up with the technology forefront development speed. Besides an urgent need to bring up the subject to the political arena, examples of how we can meet the challenges are discussed such as by extending our cooperation, encourage and facilitate cooperation for training and education to handle the extremely broad and rapid development, working out methods for explaining and visualising evidence for the treatment and legal values of digital evidence in prosecution, and cooperation between product developers and crime investigators for swift innovation of digital forensics tools and methodologies for quickly emerging threats. This paper will highlight specific examples where modern digital techniques are used to solve crimes in the physical world as well as crimes committed in the digital domain and discuss how "good AI" can be used to fight "evil AI" and finally touch on the sensitive balance between the increased power of the new digital forensic tools and private integrity.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】IAFS2023; Forensic science; Digital forensics; Artificial intelligence; Digital investigations; Collaborative networks; Ethical considerations
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 案例研究
【影响因子】2.592
【主题类别】
区块链应用-实体经济-物联网
【Abstract】Emerging technology like the Internet of Things (IoT) has great potential for use in real time in many areas, including healthcare, agriculture, logistics, manufacturing, and environmental surveillance. Many obstacles exist alongside the most popular IoT applications and services. The quality of representation, modeling, and resource projection is enhanced through interactive devices/interfaces when IoT is integrated with real-time applications. The architecture has become the most significant obstacle due to the absence of standards for IoT technology. Essential considerations while building IoT architecture include safety, capacity, privacy, data processing, variation, and resource management. High levels of complexity minimization necessitate active application pursuits with variable execution times and resource management demands. This article introduces the Organized Optimization Integration Validation Model (O2IVM) to address these issues. This model exploits k-means clustering to identify complexities over different IoT application integrations. The harmonized service levels are grouped as a single entity to prevent additional complexity demands. In this clustering, the centroids avoid lags of validation due to non-optimized classifications. Organized integration cases are managed using centroid deviation knowledge to reduce complexity lags. This clustering balances integration levels, non-complex processing, and time-lagging integrations from different real-time levels. Therefore, the cluster is dissolved and reformed for further integration-level improvements. The volatile (non-clustered/grouped) integrations are utilized in the consecutive centroid changes for learning. The proposed model's performance is validated using the metrics of execution time, complexity, and time lag.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】integration validation; IoT; k-means clustering; prioritization; real-time applications
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.3390/math12152385
【Author】 Jin, Jun Zhan, Wenhao Li, Haisheng Ding, Yi Li, Jie
【影响因子】2.592
【主题类别】
区块链技术-核心技术-智能合约
【Abstract】A composite smart contract can execute smart contracts that may belong to other owners or companies through external calls, bringing more security challenges to blockchain applications. Traditional static verification methods are inadequate for analyzing the dynamic execution of these contracts, resulting in misjudgment and omission issues. Therefore, this paper proposes a model checking approach based on dynamic behavior that verifies the security and business logic of composite smart contracts. Utilizing automata, the method models contracts, users, attackers, and extracts properties, focusing on six types of common security vulnerabilities. A thorough case study and experimental evaluation demonstrate the method's efficiency in identifying vulnerabilities and ensuring alignment with business requirements. The UPPAAL tool is employed for comprehensive verification, proving its effectiveness in enhancing smart contract security.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】smart contracts; model checking; solidity; UPPAAL; formal methods; security vulnerabilities
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.3390/math12152431
【影响因子】2.420
【主题类别】
区块链技术-核心技术-性能分析
【Abstract】Blockchain interoperability has become an essential requirement for the advancement of blockchain technology in numerous fields. Enterprise organizations are increasingly utilizing permissioned blockchains to manage and store their organizations' data and transactions in a private immutable ledger. Interoperability enables permissioned blockchain platforms to communicate and exchange information which is paramount for fully exploiting permissioned blockchains as facilitators for business-to-business applications. Additionally, the cross-network invocation of smart contracts under agreed conditions enhances business operations. Blockchain oracles can enable permissioned blockchain interoperability and cross-network transactions in a seamless and private manner. However, the literature has not studied their performance as an interoperability technique between permissioned blockchains. This study describes a performance evaluation of a blockchain oracle-based interoperability system between Hyperledger Fabric and R3 Corda. Using Hyperledger Caliper benchmark tool, we measured the cross-network transaction throughput and compared it with the local transaction throughput. Results of the evaluations showed low throughput measurements of the cross-network transactions between Hyperledger Fabric and Corda. We also observed low throughput measurements of the Corda local transactions. Furthermore, we employed an evaluation framework for blockchain interoperability techniques and conducted an analysis of the blockchain oracle-based interoperability method. We identified performance bottlenecks and recommended solutions to improve the blockchain oracle-based interoperability system and achieve high transaction throughput.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cross-network transactions; Blockchain oracles; Permissioned blockchain; Interoperability
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【Author】 Islam, Umar Alsadhan, Abeer Abdullah Alwageed, Hathal Salamah Al-Atawi, Abdullah A. Mehmood, Gulzar Ayadi, Manel Alsenan, Shrooq
【影响因子】2.411
【主题类别】
区块链技术-协同技术-机器学习
【Abstract】In the rapidly evolving landscape of modern technology, the convergence of blockchain innovation and machine learning advancements presents unparalleled opportunities to enhance computer forensics. This study introduces SentinelFusion, an ensemble- based machine learning framework designed to bolster secrecy, privacy, and data integrity within blockchain systems. By integrating cutting-edge blockchain security properties with the predictive capabilities of machine learning, SentinelFusion aims to improve the detection and prevention of security breaches and data tampering. Utilizing a comprehensive blockchain-based dataset of various criminal activities, the framework leverages multiple machine learning models, including support vector machines, K-nearest neighbors, naive Bayes, logistic regression, and decision trees, alongside the novel SentinelFusion ensemble model. Extensive evaluation metrics such as accuracy, precision, recall, and F 1 score are used to assess model performance. The results demonstrate that SentinelFusion outperforms individual models, achieving an accuracy, precision, recall, and F 1 score of 0.99. This study's findings underscore the potential of combining blockchain technology and machine learning to advance computer forensics, providing valuable insights for practitioners and researchers in the field.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Forensics; Machine learning; Computer forensics; Artificial intelligence; Computer Security
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.7717/peerj-cs.2183
【Author】 Vidhya, S. Raja, P. M. Siva Sumithra, R. P.
【影响因子】1.914
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The healthcare industry has undergone a digital transformation in recent years, with the adoption of electronic health records (EHRs) becoming increasingly prevalent. While this digitization offers various advantages, concerns regarding the security and privacy of sensitive medical data have also intensified. Data breaches and cyber-attacks targeting healthcare organizations have underscored the need for robust solutions to protect patient data. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature, which ensures secure and transparent data recording. This paper proposes a novel approach that combines blockchain with advanced encryption scheme and privacy protection technique to establish a secure and privacy protected medical data sharing environment. The proposed system consists of three phases such as initialization phase, data processing phase, and authentication phase. The hybrid Feistal-Shannon homomorphic encryption algorithm (HFSHE) is proposed to encrypt the medical data to ensure data confidentiality, integrity, and availability. Ring signature is integrated to the system to provide additional anonymity and protect the identities of the participants involved in data transactions. In addition, the smart contract developed performs authentication checks on users, generates a time seal, and verifies the ring signature. Through this enhancement, the system becomes more resilient to both external and internal threats, enhancing overall security as well as privacy. A comprehensive security analysis is conducted to compare the proposed method's performance against existing techniques. The results demonstrate the effectiveness of the proposed approach in safeguarding sensitive medical information within the blockchain ecosystem. image
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; encryption; healthcare data; privacy; ring signature; security; smart contract
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 理论模型
【DOI】 10.1002/nem.2289
【影响因子】1.864
【主题类别】
区块链技术-核心技术-智能合约
【Abstract】With the widespread application of smart contracts, there is a growing concern over the quality assurance of smart contracts. The data flow testing is an important technology to ensure the correctness of smart contracts. We propose an approach named IABC-TCG (Improved Artificial Bee Colony-Test Case Generation) to generate test cases for the data flow testing of smart contracts. With a dominance relations-based fitness function, an improved artificial bee colony algorithm is used to generate test cases, in which the bee colony search coefficient is adaptively adjusted to improve the effectiveness and efficiency of the search. In addition, an improved test case selection and updation strategy is used to avoid unnecessary test cases. The experimental results show that IABC-TCG achieves 100% coverage for all the test requirements on a dataset of 30 smart contracts and outperforms the baseline approaches in terms of the number of test cases and the execution time. Performing tests with the generated test cases, IABC-TCG can find more errors with less test cost. We propose IABC-TCG (Improved Artificial Bee Colony-Test Case Generation) to generate test cases for the data flow testing of smart contracts. The improved ABC (Artificial Bee Colony) algorithm is applied to generate test cases, in which a dominance relations based fitness function is used to guide the searching for test cases that cover the to-be-tested definition-use pairs and the bee colony search coefficient is adaptively adjusted to improve the effectiveness and efficiency of the search. In addition, the test case selection and updation strategy is improved to avoid unnecessary test cases. Experimental results show that IABC-TCG achieves 100% coverage and outperforms the comparative approaches in the number of test cases and the average execution time. image
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】artificial bee colony algorithm; data flow testing; smart contract; test case generation
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.1002/smr.2719
【Author】 Namratha, M. Singh, Kunwar
【影响因子】1.831
【主题类别】
区块链治理-市场治理-挖矿分析
【Abstract】In the present era, blockchain technology has an extensive variety of uses in the financial, marketing, and so forth. The performance and security of the blockchain system are directly affected by the consensus algorithm. Since there are 30 consensus techniques like proof of stake, delegated proof of stake, and proof of work, and so forth in the previous years, the operating efficiency, safety, and stability still lag behind the basic requirements. To this concern, this research manuscript introduces a novel consensus mechanism-based game model using upgraded delegated proof of stake (UDPoS) and Nash equilibrium (NE) that is UDPoS-NE. In a blockchain network powered by UDPoS, blockchain miners provide computing power to publish blocks. Due to a single miner's limited Computing Power (CP), miners frequently join mining pools and divide the pool's profits in accordance with their respective contributions. However, certain miners launch block-withholding attacks that lead to loss the computer power and endanger the blockchain network's effectiveness. Therefore, NE is used to calculate cooperative game solutions and optimize policy decisions of the miners to frustrate the block withholding attack by the influence of stakes and computing power on producing blocks. Using this mechanism, efficiency, and stability in the consensus process is achieved through the combined influence of computing resources and stakes on block generation. Finally, the suggested model's applicability and validity are confirmed with a throughput (600 TPS), delay (3 s), and energy consumption (<100 KWh) for 10 nodes and processing time (0.9 s) for 200 nodes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】block with holding attack; blockchain; game model; mining pool; Nash equilibrium; upgraded delegated proof of stake consensus
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实验仿真
【DOI】 10.1002/cpe.8224
【Author】 Haffar, Samer Ozceylan, Eren
【影响因子】1.411
【主题类别】
区块链应用-实体经济-供应链
【Abstract】Due to its importance, supply chain design and optimization is one of the most researched topics. Various paradigms of supply chains emerged, such as lean supply chains, agile supply chains, resilient supply chains, and, recently, digital supply chains. All these paradigms aim to enable supply chains to be time and cost efficient, flexible, and able to accommodate market volatility, and ensure resilience to disruptions and potential risks. Supply chain digitalization, or digital supply chains, aims to leverage digital technology tools for a more connected, flexible, and proactive supply chain. Blockchain is an emerging technology that promises decentralization, data immutability, transparency, and programmability. In this paper, we conducted a literature review, and a bibliometric analysis of research that leverages the properties and features of blockchain technology to enhance supply chains' flexibility, efficiency, and coordination. We identified key themes in the reviewed articles' contributions and objectives, case studies, solution approaches, and limitations and proposed opportunities for future research. Our findings showed that research focused mostly on the enablers and barriers of adopting blockchain in supply chains as well as certain supply chain issues that can be optimized by blockchain such as efficiency and cost, transparency, and traceability as well as risk resilience. We also found that most research addressed those issues for supply chains in general, while some research focused on specific sectors, such as agri-food and healthcare. Moreover, most research was theoretical studies, such as literature reviews and the results of interviews and/or surveys with industry experts, and only a small number of reviewed articles focused on blockchain-based system implementations.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Leagile; digital transformation; resilient; supply chain; blockchain
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 综述
【DOI】 10.3934/jimo.2024109
【影响因子】1.405
【主题类别】
区块链应用-虚拟经济-数据市场
【Abstract】The power of data and correct statistical analysis has never been more prevalent. Academics and practitioners require nowadays an accurate application of quantitative methods. Yet many branches are subject to a crisis of integrity, which is shown in an improper use of statistical models, p-hacking, HARKing, or failure to replicate results. We propose the use of a Peer-to-Peer (P2P) ecosystem based on a blockchain network, Quantinar, to support quantitative analytics knowledge paired with code in the form of Quantlets or software snippets. The integration of blockchain technology allows Quantinar to ensure fully transparent and reproducible scientific research.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Machine learning; dao; p2p; e-Learning
【发表时间】2024
【收录时间】2024-08-17
【文献类型】 实证数据
【作者】 伍湘陵; 赵传羽; 马述忠
【作者单位】宁波大学商学院;浙江大学中国数字贸易研究院;
【文献来源】美国研究
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-法律治理-数字资产
【摘要】数字资产作为社会财富的重要组成部分，已受到全球各国与地区的关注。在技术要素推动下，从一般的数据要素到数字货币以及各类数字化证券代币与加密货币等，数字资产的内涵、外延以及功能与所应用场景都在动态演化。因此，有效认定与监管数字资产成为各国与地区促进数字资产有效发挥作用的关键举措。美国总统签发的第14067号“数字资产行政令”,即《确保负责任地开发数字资产行政命令》,为探索规范数字资产发展提供了一个相对成形的框架。通过对美国总统行政令及其附属报告的文本分析显示，美国政府对数字资产的界定，提供了一个相对宽泛的框架；繁荣数字资产市场与金融创新及掌握全球数字资产市场规则的话语权是美国数字资产发展的关键目的；强调数字资产发展过程中的多部门协同管理与全生命周期监管。
【关键词】美国经济;;网络安全;;跨境支付;;政府监管;;数字资产;;分布式记账
【文献类型】 观点阐述
【发表时间】2024-08-17
【作者】 刘晓辉; 罗娜; 邢斌; 高官岳; 孙梅; 孙传恒
【作者单位】天津农学院计算机与信息工程学院;农产品质量安全追溯技术及应用国家工程研究中心;国家农业信息化工程技术研究中心;
【文献来源】农业机械学报
【复合影响因子】
【综合影响因子】
【主题类别】
区块链应用-实体经济-供应链
【摘要】区块链追溯对于保障食品安全、提升农产品品质、维护消费者权益至关重要。针对农产品供应链中隐私数据安全与保护需求，提出了一种基于属性的可搜索加密的农产品区块链追溯隐私数据访问控制方法，该方法允许追溯供应链数据拥有者利用基于属性的可搜索加密技术对访问控制中的访问控制策略进行加密处理，追溯供应链数据请求者通过生成陷门与加密策略进行匹配，以确保访问控制的安全性，有效抵御恶意节点伪造信息非法获取权限的行为，隐藏用户身份，避免策略信息暴漏问题，确保了隐私数据的安全性。采用以太坊权威证明共识机制搭建私有链进行仿真实验，系统测试结果表明，可搜索密文生成时间为2.5ms，陷门生成时间为39.8ms，可搜索密文与陷门的匹配时间为8.6ms，同时密文生成时间不随属性数量增加而线性增长，具有稳定性特征。将可搜索密文和陷门上传至区块链的平均时间为2033ms，查询匹配的时间为3.54ms。因此，本研究提出的访问控制方法实现了访问控制策略隐藏，保障了追溯隐私数据的安全共享，适用于农产品区块链追溯环节中。
【关键词】农产品溯源;;区块链;;基于属性的访问控制;;基于属性的可搜索加密
【文献类型】 实验仿真
【发表时间】2024-08-17