【Author】 Boukis, Achilleas
【影响因子】12.853
【主题类别】
区块链治理-市场治理-代币经济学
【Abstract】This work investigates customer responses to the tokenization of hotel loyalty programs. Drawing on self-enhancement theory, Study 1 investigates the effect of reward type (i.e. control vs tokenized reward) on customers' perceptions of the reward (i.e. economic value, program attractiveness) and their behavioral intentions towards the hotel (i.e. switching intentions, recommendation intentions). Findings highlight reward novelty and psychological ownership as two mediators of the above relationships. Study 2 replicates these effects in a cryptocurrency owner context. Study 3 examines the effect of the hotel's type (i.e. luxury vs budget) on the reward type-customer responses relationship. We showcase that tokenized rewards generate a more favourable attitude towards loyalty programs and that they remain an effective customer acquisition strategy for high-end hotels. (c) 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Tokenized rewards; Psychological ownership; Reward novelty; Loyalty program; Non-Fungible Tokens
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 案例研究
【Author】 Sahoo, Anita Sobhanayak, Srichandan
【影响因子】11.718
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The integration of Health IoT (H-IoT) and blockchain technologies are being heavily exploited and used in many domains, especially for e-healthcare to collect the data i.e electronic health record (EHR) from the patient. The H-IoT devices have the ability to provide real-time sensory data from patients to be processed and analyzed, and distributed. Blockchain is providing decentralized computation, distribution and storage for EHR data. Therefore, the integration of H-IoT and Blockchain technologies can become a reasonable choice for the design of decentralized H-IoT-based e-healthcare systems. But the H-IoT network has some intrinsic challenges like low computation, energy constraint, security, energy optimization, data storage, and real-time data analytic. Also, conventional EHR-based systems suffer from issues such as the potential loss of data, inadequate security and consensus on the unchangeable nature of health records, fragmented connections between different institutions, and ineffective clinical data retrieval methods, among other challenges. In this article, first, we study the performance of blockchain technology in the healthcare system. Second, we propose an improved Harris Hawk Optimization algorithm (HHO) based clustering mechanism for the collection and sharing of EHR. The proposed system was tested and validated using the Hyperledger-fabric based electronic healthcare record (EHR) sharing system along with Matlab. The proposed system achieves 12%, and 7% incremental improvement in terms of latency, throughput for the Blockchain networks. While the proposed clustering technique achieves 10%, 12%, 14%, and 16% improvements in alive node, energy consumption, throughput and average transmission delay compared to existing state of the art.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】H-IoT network; Internet of Things(IoT); Security; Energy efficiency; Blockchain; Clustering
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 理论模型
CCF-B
【影响因子】8.346
【主题类别】
区块链应用-实体经济-信息领域
【Abstract】Ensuring secure access to cellular networks is of paramount importance, in which system information (SI) protection plays a crucial role at the initial access stage. While the 3rd generation partnership project (3GPP) released many standardizations to enhance SI protection for preventing users from false base station (FBS) attacks, most of them are centralized solutions which are vulnerable to potential attacks and single-point failures. To address the aforementioned issues, a blockchain-enabled SI protection (BeSI), as a compatible and effective secure access scheme, is developed in this work, which aims at guaranteeing the authenticity and reliability of SI by considering the features of blockchain in immutability, traceability, and decentralization. Then, we derive a mathematical framework to justify the superiority of using blockchain in SI protection. Moreover, by resorting to a Poisson point process as the geographical model for both base stations and FBSs, we thus theoretically analyze the security gain of blockchain and understand the impact of network parameters including redundancy rate, number of confirmation blocks, and the density of base stations. Finally, numerical results are demonstrated to validate the effectiveness of BeSI.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Protection; Security; Base stations; 3GPP; Cellular networks; Public key; System information; blockchain; false base station; security; cellular networks
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 理论模型
【DOI】 10.1109/TWC.2024.3406729
【Author】 Kara, Karahan Yalcin, Galip Cihan Simic, Vladimir Korkuc, Cagatay Cicek, Ilhan Afacan, Erkan Pamucarg, Dragan
【影响因子】8.263
【主题类别】
区块链治理-市场治理-平台项目
【Abstract】Digital projects aspiring to reach target audiences are executed through decentralized and trustworthy block- chain platforms (BPs). Once the objectives and target audience of a digital project are defined, the selection of suitable BPs is undertaken. The primary objective of this research is to develop a decision support system that aids in the selection of BPs for transferring digital data and assets. Numerous quantitative parameters determine the performance of BPs, alongside qualitative parameters indicating their performance. In this study, the aim is to determine the performance of BPs based on both qualitative and quantitative parameters. Within this scope, a multi-criteria decision-making approach and interval-valued spherical fuzzy (IVSF) sets are adopted. IVSF sets are utilized to determine expert importance levels. The IVSF-criteria importance assessment (CIMAS) method is introduced for the weighting of criteria. IVSF-CIMAS enables the determination of reliability levels in calculating criterion weights. The IVSF-simple weighted sum product (WISP) method is formulated to obtain the performance ranking of BPs. Thus, in this research, the IVSF-CIMAS-WISP hybrid model is developed, and an algorithm for this novel decision-analytic model is presented. A case study is developed focusing on BP selection for a digital project to demonstrate the applicability of the proposed hybrid model. The robustness of IVSF-CIMAS
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Digital Projects; Blockchain Platforms; Interval-Valued Spherical Fuzzy Sets; CIMAS; WISP
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 案例研究
【影响因子】7.196
【主题类别】
区块链治理-市场治理-碳足迹
【Abstract】Executing a single Bitcoin transaction equates approximately to the greenhouse gas emissions of a moderate-sized electric or gasoline engine sedan vehicle traveling between 1600 and 2600 km. This research undertakes an examination of Bitcoin's real climate problem and presents a novel framework and an in-depth analysis of Bitcoin mining's carbon footprints based on country-specific, per transaction, and per total hashes required for mining a block. In addition, it maps the carbon footprints of global supply chains inherent in Bitcoin mining operations. We propose a life cycle assessment-based multination carbon footprint accounting method, allowing us to map both direct and indirect carbon footprints across various regional and global supply chain sectors. The findings show that approximately 50% of global emissions from Bitcoin mining are confined within the territorial boundaries of the USA. Meanwhile, China, despite its regulatory restrictions on mining, continues to play a significant role as both a major contributor to global mining emissions and a leading manufacturer and supplier of Bitcoin mining equipment. The globalized nature of Bitcoin's supply chain suggests that localized efforts to reduce carbon emissions may fall short of addressing the full scope of the problem. For instance, while Norway's domestic emissions from Bitcoin mining are low due to its use of renewable energy, a significant share of its emissions stems from its global supply chain, particularly from China. The findings underscore the necessity for carbon footprint reduction policies and management strategies that transcend national borders, emphasizing the importance of accounting for emissions embedded in global trade and supply chains. This research contributes to the broader discourse on sustainable cryptocurrency practices by highlighting the imperative need of a globally coordinated approach to carbon footprint management in Bitcoin mining.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin; Blockchain; Carbon footprint accounting; Life cycle assessment; Environmental footprint; Global supply chains; Sustainable technology management
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 实证数据
【影响因子】7.032
【主题类别】
区块链应用-实体经济-食品供应链
【Abstract】This paper outlines the integration of blockchain technology (BCT) into agri-food supply chains (AFSC) and provides a comprehensive framework for organisations interested in adopting Blockchain (BC)-enabled traceability. Collaborating with an agri-food-based use-case organisation and a technology provider, the authors present a use case for the deployment of BCT in honey and coriander powder supply chains. The proof-of-concept (POC) for the BC-based traceability framework was developed with inputs from both the use-case organisation and the technology provider. The findings suggest that the demand for improved traceability may incentivise adoption within specific operations of the agri-food business despite existing challenges. Additionally, the pilot study introduces a cost framework, delving into the developmental and operational costs associated with the developed POC. Furthermore, the paper discusses stakeholders' perspectives by exploring challenges faced during the implementation phase and highlighting the perceived benefits of adoption. Positioned at the intersection of the agri-food sector, digitalisation, and the growing demand for information and product integrity, this research emphasises the unique potential of BCT. In practical terms, this study can serve as a valuable step-by-step guide for managers seeking to understand the process of BCT implementation in AFSC, offering insights into the operational and strategic aspects of adopting BCT.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Proof-of-concept; Blockchain technology; Traceability; Agri-food sector; Supply chain; Transparency
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 理论模型
CCF-B
【影响因子】5.493
【主题类别】
区块链应用-虚拟经济-Web3
【Abstract】Web 3.0 represents a transformative shift toward a decentralized, intelligent, and user-centric Internet. Existing electronic health record (EHR) sharing systems depend on centralized cloud servers for storage and management, with hospitals serving as primary custodians. This centralization often results inpatients losing control and visibility over their EHR data, including who accesses it and how it is utilized, which contradicts the decentralized principles of Web 3.0. In this context, we propose a multi-authority attribute-based proxy re-encryption scheme that facilitates collaborative EHR sharing in Web 3.0. Our design allows the updating of ciphertext policies, thereby eliminating the need for frequent re-encryption of plaintext data amid varying cross-domain access policies. Furthermore, our scheme utilizes blockchain technology to create a decentralized and transparent environment that enables traceable cross-domain EHR sharing records. Additionally, we integrate hybrid encryption with decentralized data hosting platforms, significantly reducing the on-chain storage burden. The use of smart contracts automates the cross-domain EHR sharing and guarantees a fair distribution of benefits among all participants. Security analysis confirms that our scheme is secure against chosen plaintext attacks and resistant to collusion. Performance analysis and simulation experiments validate the efficiency and robustness of our scheme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Web 3.0; Cross-domain EHR sharing; Multi-authority attribute-based; Proxy re-encryption; Access control; Patient-centric; Security
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 案例研究
CCF-B
【影响因子】4.542
【主题类别】
区块链技术-协同技术-零知识证明
【Abstract】With the increasingly widespread adoption of Healthcare 4.0 practices, new challenges have arisen for the utilization of collected sensitive data. On the one hand, these data have immense potential to unlock valuable insights for personalized medicine, early disease detection, and predictive analysis thanks to the use of Artificial Intelligence. On the other hand, ensuring the protection of patient privacy is of paramount importance to maintain trust and uphold ethical practices within the healthcare system. Classical centralized learning approaches do not fit well with the privacy and security requirements imposed by the law and the sensitivity of treated data, which is why decentralized learning approaches are gaining ground. Among these, Federated Learning (FL) stands out as a viable alternative, providing greater security and performance comparable to classic centralized learning approaches. However, there are still various attacks targeting the local parameters or gradients updated by the participants. Therefore, we present our architecture based on the conjunction of Zero-Knowledge Proof, FL, and blockchain that implements also the decentralized identifier standard. The adoption of this architecture can grant the execution, management, supervision, and updating of the FL process, guaranteeing the resilience of the system and the reliability and traceability of exchanged data. In order to test the performance, robustness, and implementation costs of the proposed architecture, we develop a case study on the prediction of blood glucose levels in people with Type-1-diabetes. The results of our analysis show an improved system in terms of balance between performance privacy and security, guaranteeing high levels of verifiability, therefore proving the proposed architecture suitable for most of the FL processes needed in the healthcare field.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Federated learning; Distributed ledger technology; Zero-knowledge proof; Data security; Decentralized identifiers; Healthcare 4.0; Diabetes
【发表时间】2025
【收录时间】2024-11-02
【文献类型】 理论模型
【Author】 Li, Yang Xia, Chunhe Li, Chang Wang, Tianbo
CCF-B
【影响因子】4.542
【主题类别】
区块链技术-协同技术-联邦学习
【Abstract】With the increasing importance of machine learning, the privacy and security of training data have become a concern. Federated learning, which stores data in distributed nodes and shares only model parameters, has gained significant attention for addressing this concern. However, a challenge arises in federated learning due to the byzantine attack problem, where malicious local models can compromise the global model's performance during aggregation. This article proposes the Blockchain-based Byzantine-Robust Federated Learning (BRFL) model, which combines federated learning with blockchain technology. We improve the robustness of federated learning by proposing a new consensus algorithm and aggregation algorithm for blockchain-based federated learning. Meanwhile, we modify the block saving rules of the blockchain to reduce the storage pressure of the nodes. Experimental results on public datasets demonstrate the superior byzantine robustness of our secure aggregation algorithm compared to other baseline aggregation methods, and reduce the storage pressure of the blockchain nodes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Federated learning; Blockchain; Pearson correlation coefficient; Spectral clustering
【发表时间】2025
【收录时间】2024-11-02
【文献类型】 理论模型
【Author】 Rani, Divya Tripathi, Sachin
【影响因子】4.152
【主题类别】
区块链应用-实体经济-交通领域
【Abstract】The progress of the Intelligent Transport System has significantly enhanced vehicle communication with both other vehicles and Road Side Units. This has become crucial due to the necessity for highly accurate information transmission while vehicles operate at high speeds. Additionally, the escalating vehicle count demands heightened processing speed, minimized superfluous computation, reduced data transmission delays, and decentralized storage solutions. Therefore, the proposed work involves a Blockchain-based Two-level Transferable Authentication Scheme (BTTAS) for secure V2I communication in Vehicular ad hoc networks. Unlike existing approaches that rely on centralized frameworks, the suggested model establishes a distributed environment utilizing a Consortium Blockchain furnished with a dedicated communication channel, ensuring the utmost confidentiality. Furthermore, a two-tier transferable authentication mechanism effectively curtails extraneous computations on the vehicles' end. The Consortium Blockchain is implemented using the Hyperledger Fabric and its performance evaluation is conducted via Hyperledger Caliper. There is an ECC-based protocol for secure communication. The proposed work includes a ROR model-based Formal Analysis, simulation using the Scyther tool, and Informal Analysis. Additionally, by analyzing blockchain performance with different transaction volumes and rates, along with comparative analysis, the proposed work demonstrates enhanced effectiveness and security.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Intelligent transport system; VANET; Blockchain; Authentication; Hyperledger fabric; Hyperledger caliper
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 理论模型
【Author】 Arfelli, Francesco Coralli, Irene Cespi, Daniele Ciacci, Luca Fabbri, Daniele Passarini, Fabrizio Spada, Lorenzo
【影响因子】2.838
【主题类别】
区块链治理-市场治理-碳足迹
【Abstract】The environmental impact of Bitcoin mining has raised severe concerns considering the expected growth of 30% by 2030. This study aimed to develop a Life Cycle Assessment model to determine the carbon dioxide equivalent emissions associated with Bitcoin mining, considering material requirements and energy demand. By applying the impact assessment method IPCC 2021 GWP (100 years), the GHG emissions associated with electricity consumption were estimated at 51.7 Mt CO2 eq/year in 2022 and calculated by modelling real national mixes referring to the geographical area where mining takes place, allowing for the determination of the environmental impacts in a site-specific way. The estimated impacts were then adjusted to future energy projections (2030 and 2050), by modelling electricity mixes coherently with the spatial distribution of mining activities, the related national targeted goals, the increasing demand for electricity for hashrate and the capability of the systems to recover the heat generated in the mining phase. Further projections for 2030, based on two extrapolated energy consumption models, were also determined. The outcomes reveal that, in relation to the considered scenarios and their associated assumptions, breakeven points where the increase in energy consumption associated with mining nullifies the increase in the renewable energy share within the energy mix exist. The amount of amine-based sorbents hypothetically needed to capture the total CO2 equivalent emitted directly and indirectly for Bitcoin mining reaches up to almost 12 Bt. Further developments of the present work would rely on more reliable data related to future energy projections and the geographical distribution of miners, as well as an extension of the environmental categories analyzed. The Life Cycle Assessment methodology represents a valid tool to support policies and decision makers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】life cycle assessment; cryptocurrencies sustainability; bitcoin; low-carbon electricity; net-zero greenhouse gas emissions; energy transition
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 观点阐述
【DOI】 10.3390/app14209597
【Author】 Li, Mingwei Cheng, Shaoen Lu, Man
【影响因子】2.731
【主题类别】
区块链应用-实体经济-企业管理
【Abstract】Organizational resilience is becoming a priority for enterprises' survival in volatile, uncertain, complex, and ambiguous (VUCA) contexts. However, few studies have investigated how information technology (IT) capabilities promote organizational resilience. To fill this gap, we draw on the IT capabilities literature and social capital theory to build a theoretical model to investigate the impact of IT capabilities on organizational resilience. The concept of social capital is introduced as a mediating mechanism in the relationship between IT capabilities (i.e., infrastructure capability, human capability, and business spanning capability) and organizational resilience (i.e., reactive and proactive resilience). The model is tested based on 369 Chinese manufacturing enterprises that survived the COVID-19 pandemic. This study confirms the key role of IT capabilities in building organizational resilience and the critical mediating role that social capital exhibits between IT capabilities and organizational resilience. This study has both theoretical and managerial implications for enterprise digital resilience.
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】2024-11-02
【文献类型】 实证数据
【影响因子】2.592
【主题类别】
区块链应用-实体经济-选举领域
【Abstract】To be a stakeholder/validator/token holder is not so difficult in the Proof of Stake (POS)-based blockchain networks; that is why the number of validators is large in these networks. These validators play an essential part in the block creation process in the PoS-based blockchain network. Due to the large validators, the block creation time and communication message broadcasting overhead get increased in the network. Many consensus algorithms use different techniques to reduce the number of validators, such as Delegated Proof of Stake (DPoS) consensus algorithms, which select the set of delegators via stake transactions for the block creation process. In this paper, we propose S&SEM, a secure and speed-up election process to select the 'z' number of validators/delegators. The presented election process is based on a traditional voting style with multiple numbers of rounds. The presented election mechanism reduces the possibility of malicious activity in the voting process by introducing a special vote message and a round that checks duplicate votes. We did horizontal scaling in the network to speed up the election process. We designed an improved incentive mechanism for the fairness of the election process. The designed reward and penalty procedure controls the nodes' behaviors in the network. We simulate the S&SEM, and the result shows that the presented election process is faster and more secure to select delegators than the existing process used by DPOS.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; consensus; DPoS; election mechanism; PoS; security; voting
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 理论模型
【DOI】 10.3390/math12203263
【Author】 Qu, Leda Wen, Feng Huang, Haixin Wang, Zhuo
【影响因子】2.303
【主题类别】
区块链应用-实体经济-数据管理
【Abstract】In recent years, blockchain technology has emerged as a topic of increasing interest within the field of computer science research. Due to its characteristics of decentralisation, information traceability, and tamper-resistance, it has been widely applied in data sharing research. Nevertheless, a number of outstanding issues remain to be resolved. Firstly, in the current stage of research on blockchain-based data sharing, there is a tendency to focus on the case of a single chain, with relatively little consideration given to multi-chain (i.e., multiple blockchains or multiple blockchain-based data sharing systems) together for data sharing. This can lead to the problem of data silos. Secondly, some studies utilise public chains as the underlying framework for data sharing frameworks or systems. However, the mining mechanism of public chains can result in a significant waste of resources. Furthermore, query optimisation on blockchain is a significant area of research in the field of blockchain. In light of the aforementioned issues, we proposed a multi-chain data sharing framework based on consortium blockchain, wherein the metadata of data on multiple blockchains can be aggregated and reorganised. In order to enhance the query efficiency of our proposed multi-chain data sharing framework, we have constructed an off-chain query service. Concurrently, in order to guarantee the consistency of the data on the off-chain query service with the blockchain data and to authenticate the data, we have proposed an effective data consistency mechanism by improving the database fingerprint generation algorithm. Furthermore, an asymmetric encryption transmission method is employed to guarantee the security of data transmission. Finally, comparative experiments and various analyses show that our proposed data sharing framework contains various features. It can efficiently aggregate metadata and securely transfer data, significantly improve the efficiency in terms of data querying and database fingerprint generate rate and improve the throughput of database fingerprint generate algorithms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consortium blockchain; Multi-chain; Data sharing; Off-chain query service
【发表时间】2025
【收录时间】2024-11-02
【文献类型】 实验仿真
【Author】 Elsaadany, Riham Begin, Guy
【影响因子】2.303
【主题类别】
区块链应用-实体经济-物联网
【Abstract】Current node-organizing IoT-based blockchain models lack the scalability and mechanisms needed to accommodate a growing number of nodes while balancing decentralization and node overhead. This study proposes a multi-tiered Self-Scalable Dynamic (SSD) architecture, a new data structure, based on a forest of trees to improve blockchain scalability and efficiency by clustering all nodes, throughout the tiers, limiting those involved in consensus. Our contributions also include: (i) A protocol to accelerate consensus. (ii) A mechanism for efficient node-lookup and message-routing. (iii) A dynamic algorithm to balance overhead and decentralization. (iv) A colocality mechanism to further reduce consensus time. SSD reduces consensus time to an upper bound of O(1) plus a propagation delay factor. As more IoT devices join, resulting in a deeper forest, the model becomes more scalable with shorter consensus delays. The proposed mechanisms may serve as general-purpose solutions for scalability, load balancing, node-lookup and message-routing, and are application-, clustering-, and consensus-algorithm-agnostic.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Internet of things; Clustering; Scalability; Balance; Decentralization.
【发表时间】2025
【收录时间】2024-11-02
【文献类型】 理论模型
【Author】 Ba, Abdoul Fatakhou Yingchi, Mao Muhammad, Abdullahi Uwaisu Samuel, Omaji Muazu, Tasiu Kumshe, Umar Muhammad Mustapha
【影响因子】2.303
【主题类别】
区块链技术-协同技术-联邦学习
【Abstract】The recent advancements in the Internet of Medical Things (IoMT) have significantly contributed to improving personalized medicine and patient diagnosis and monitoring. Nonetheless, the implementation of IoMT may encounter obstacles due to security and privacy concerns. Federated learning emerges as a promising solution, enabling multiple devices to collaborate on training rich, heterogeneous datasets while preserving privacy. Despite its potential, traditional federated learning methods exhibit vulnerabilities such as single points of attack or failure and performance degradation with heterogeneous data. To this end, this paper proposes a blockchain federated learning system to address these limitations. In the proposed blockchain, a Proof-of-Contribution-Earned (PoCE) consensus protocol is designed for block propagation and miners' selection using an improved addition tic-tac-toe game. To overcome the challenge related to heterogeneous data, a reward system based on a cooperation strategy is proposed to ensure that high-quality data is shared among health institutions. We employ a Convolutional Neural Network (CNN) where we replace the fully connected layers with sparse ones to minimize the number of parameters using an exponential random graph while maintaining model accuracy. The experimental results on real-world heterogeneous data demonstrate that the proposed system outperforms existing state-of-the-art systems in terms of accuracy and convergence rate. Security analysis reveals that the proposed system is robust against existing security and privacy-related attacks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Federated learning; IoMT; Proof-of-contribution earned; Heterogeneous data
【发表时间】2025
【收录时间】2024-11-02
【文献类型】 理论模型
【Author】 Allen, Darcy W. E.
【影响因子】1.962
【主题类别】
区块链治理-市场治理-ICO
【Abstract】Airdrops are a mechanism by which blockchain-based projects distribute digital tokens to users at zero cost. Billions of dollars of tokens have been airdropped for reasons such as marketing and decentralisation. The distribution criteria that projects have designed (e.g. previous user activity on the platform) have become more complex as different types of users adapt to receive a larger airdrop. This paper argues that coevolutionary theory can help us to understand the unique phenomenon of airdrop design, where participants (projects and users) strategically adapt over time and across different blockchain ecosystems. Nine airdrop case studies show an expanding set of innovative airdrop strategies (e.g. airdrops requiring additional activities to claim). The evolutionary analysis also implies changes in airdrop design (e.g. multi-round airdrops to facilitate learning) and further strategic innovation. Ultimately, this paper offers a new platform to apply the tools of evolutionary economics, exploring a unique process of innovation and evolution.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency airdrop; Airdrop; Token airdrop; Blockchains; Airdrop design; B15; L26
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 案例研究
【影响因子】0.436
【主题类别】
区块链技术-协同技术-联邦学习
【Abstract】With the rapid increase in IoT devices and advanced machine learning and deep learning techniques, there has been a growing concern about computational cost and data privacy issues since the data coming from IoT devices is non-independent identically distributed (non-IID). However, the implementation of the federated learning algorithm has proven to be a booster in the performance and a solution to the existing data privacy concerns. This paper gives insight into topics such as Blockchain, Unmanned Aerial Vehicles (UAV), Wireless communication, Vehicular Internet of Things, Healthcare, and Cloud Computing and how they have been implemented and co-related to federated Learning and the application and the emerging use cases in the field of federated learning (FL) with respect to the above-mentioned topics have also been discussed. This paper uniquely shows how federated learning has an edge over the traditional machine learning and deep learning techniques in IoT infrastructure since computing nodes are trained using local models on the devices and then these local models are uploaded to the central global server instead of data directly into a global model on a central server ensuring data privacy.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Federated Learning; Blockchain; Vehicular IoT; Unmanned Aerial Vehicles; Cloud Computing; Healthcare; Wireless Communication networks
【发表时间】2024
【收录时间】2024-11-02
【文献类型】 观点阐述
【作者】 王强; 赵全; 王颖; 周福才; 徐剑
【作者单位】东北大学软件学院;西安交通大学网络空间安全学院;
【文献来源】计算机学报
【复合影响因子】5.402
【综合影响因子】3.429
【主题类别】
区块链应用-实体经济-车联网领域
【摘要】随着车联网技术的迅猛发展，智能汽车中的车载应用越来越多地面临处理时延敏感且计算密集型任务的挑战。尽管车载计算单元具有一定的计算能力，但其有限的资源无法应对时延敏感的复杂任务。针对上述问题，计算卸载至资源丰富的云端是一种可行的解决方案。然而，远程云服务器的传输成本和通信延迟成为卸载时延敏感任务的主要瓶颈。随着移动边缘计算（MEC）兴起，计算能力从中心化的云端转移至网络边缘，降低了延迟，但现有方案仍存在容错性弱、隐私泄露和计算效率低等问题。本文针对这些不足，提出了一种云链融合的隐私保护分布式计算卸载方案（FCOS）。FCOS通过设计冗余分布式计算机制显著提升了容错性，有效减少了单点故障对计算的影响；利用区块链中的智能合约确保计算卸载过程的可验证性与公平性，增强了卸载的安全性；在隐私保护方面，结合同态加密和盲化因子技术，实现了在智能汽车端低计算开销下的数据隐私保护。与现有技术相比，FCOS在云计算阶段处理5000次以内多项式时，计算用时平均降低90.4%；在单点故障率为0%-60%时，10000次以内的多项式计算用时平均降低了92.9%-96.7%。理论分析与实验结果验证了该方案的高效性、安全性和可靠性。
【关键词】车联网;;安全计算卸载;;区块链;;隐私保护;;分布式计算
【文献类型】 理论模型
【发表时间】2024-11-02
【作者】 范亚生; 谢春丽; 魏家劲; 曾友
【作者单位】江苏师范大学计算机科学与技术学院;
【文献来源】计算机工程与应用
【复合影响因子】2.348
【综合影响因子】1.606
【主题类别】
区块链技术-核心技术-智能合约
【摘要】随着去中心化互联网的发展，智能合约因其不可修改性而需要在部署前确保安全性，以防范潜在的漏洞风险。尽管已有一些基于深度学习的方法用于智能合约的漏洞检测，但仍然存在以下两个问题:一是缺乏对合约结构和语义信息的充分理解；二是神经网络模型受输入长度的制约，对长合约性能不佳。针对这两个问题，提出基于语法控制流图的合约分解和路径融合方法。首先，基于抽象语法树构建智能合约的语法控制流图，并采用贪心策略将语法控制流图分解为多条结构简单的路径；然后，使用预训练的代码模型学习路径的向量表示。最后，融合不同路径的特征向量以实现漏洞检测。为验证模型的有效性，构建了一个包含7511个真实世界智能合约的数据集，实验结果表明，和主流方法相比该方法能够有效提高智能合约漏洞检测的精确率、召回率和F1值。
【关键词】智能合约;;漏洞检测;;控制流图;;预训练模型
【文献类型】 实验仿真
【发表时间】2024-11-02
【作者】 王帝; 艾芊; 余涛; 左娟; 鲁意; 李嘉媚
【作者单位】电力传输与功率变换控制教育部重点实验室(上海交通大学);国网上海市电力公司;国网上海能源互联网研究院有限公司;
【文献来源】电力系统自动化
【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-电力领域
【摘要】虚拟电厂聚合海量分布式资源，诉求偏好不一，对交易的透明性、公平性、隐私性和实时性有着更高的要求，实现虚拟电厂的高效运营需要构建一个低信任成本的交易环境。文中聚焦虚拟电厂的可信交易，首先，从参与市场现状和交易组织架构2个角度分析了虚拟电厂的交易模式；其次，提出了可信交易透明、公正、安全与高效的核心特性与构建路径，结合虚拟电厂交易典型流程，分析了虚拟电厂可信交易的技术难点；再次，针对技术难点，从身份认证和市场准入、通讯安全与数据管理、市场机制与交易策略设计、自动化交易流程与平台设计4个方面提出了虚拟电厂可信交易的解决方案；最后，对未来继续支撑虚拟电厂可信交易的关键技术进行了展望。
【关键词】虚拟电厂;;可信交易;;区块链;;隐私保护;;机制设计
【文献类型】 理论模型
【发表时间】2024-11-02