【Author】 Saeedi, Ali Al-Fattal, Anas
【影响因子】10.884
【主题类别】
--
【Abstract】The purpose of this study is to investigate investors' trust in cryptocurrency investment. The study employs a survey through a Qualtrics panel of 458 participants from the US with cryptocurrency investment experience. The data was collected in June 2022. Structural equation modeling (SEM) was used to construct the five-aspect model of trust in cryptocurrency investment and test the research hypotheses. This research examines technological, societal, regulatory, developers, and specifications aspects. The findings show significant positive relationships between trust and all five aspects of trust (i.e., technology, social, regulations, developers, and specifications). In addition, the multi-group analyses indicate differences between groups of education, age, gender, and amount of investment in terms of various aspects of trust. The significant differences are more evident in the aspects of regulations, social, and developer between two groups of females and males. These findings contribute to our understanding of trust in cryptocurrency investments, highlighting the importance of technology reliability, regulatory certainty, societal approval, developer transparency, and cryptocurrency specifications in establishing investor trust.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Trust; Technology; Social; Regulations; Developer; Specifications
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【影响因子】10.884
【主题类别】
--
【Abstract】Artificial Intelligence (AI) stands as a transformative force across business, technology, and science, yet its comprehensive impact on innovative industries remains relatively unexplored. This study delves into the interconnectedness between AI and pivotal sectors such as cryptocurrency, blockchain, metaverse, democratized banking, and Cleantech, among others. Employing the conditional autoregressive value-at-risk (CAViaR) and time-varying parameters vector autoregressions (TVP-VAR) methods, we scrutinize daily data spanning from June 1, 2018, to October 11, 2023, encompassing 12 stock indices representing each industry. Our findings unveil a strong contagion effect from AI to other innovative sectors, with the exception of Cleantech, which appears to have decoupled from the AI surge. Notably, democratized banking and the metaverse emerge as key recipients of this contagion. Examination of tail-risk spillovers highlights AI as one of the most influential risk transmitters during market tumult, while cryptocurrency and blockchain consistently function as net risk receivers throughout the sample period. The implications of these findings are multifaceted, offering substantive insights into the risk profiles of these critical innovative sectors. Investors and regulatory bodies stand to benefit significantly from this analysis, as it illuminates potential avenues for portfolio diversification and deepens understanding of contagion mechanisms within these evolving industries.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】CAViaR; TVP-VAR; Artificial intelligence; Cryptocurrency; Metaverse
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【影响因子】10.801
【主题类别】
--
【Abstract】The intersection of blockchain technology and circular economy (CE) practices holds significant potential for enhancing sustainability, transparency, and efficiency. This study conducts a comprehensive bibliometric analysis to explore the current research landscape in this domain. Key findings indicate a rapid growth in publications, highlighting a burgeoning interest in leveraging blockchain for CE initiatives. The analysis identifies critical approaches such as enhancing supply chain transparency, improving resource management, and facilitating product lifecycle tracking. However, the integration of blockchain into CE practices presents challenges, including technical complexities, scalability issues, and regulatory hurdles. Addressing these challenges requires interdisciplinary and cross-sectoral collaboration, as well as continuous research and innovation. Future research should focus on the integration of emerging technologies with blockchain, longitudinal studies on long-term impacts, socio-economic implications, and the development of regulatory frameworks. This study contributes to the existing body of knowledge by providing unique insights and outlining potential research directions at the intersection of blockchain and CE.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】bibliometric analysis; blockchain; circular economy; literature review
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1002/bse.4027
【Author】 Lin, Woon Leong Leow, Nelvin Xe Chung Lim, Wai Mun Ho, Ming Kang Yong, Jing Yi Pek, Chuen Khee
【影响因子】10.801
【主题类别】
--
【Abstract】This investigation explores the integration of blockchain technology (BCT) with circular economy (CE) principles within the automotive sector, leveraging a dataset from the years 2011 to 2019. Employing advanced analytical techniques, including machine learning models and the system generalized method of moments (GMM), the study meticulously assesses BCT's impact on CE practices over the specified period. The dataset, curated from esteemed sources such as CSRHub, Thomson Reuters, and Bloomberg, enhances the reliability and validity of our analysis. Results indicate a positive influence of BCT on the adoption and effectiveness of CE practices in the automotive industry, suggesting that CE practices can bolster firm performance. Notably, the analysis reveals that support vector machines (SVM) and neural networks (NNs) exhibit superior efficacy over the random forest (RF) model in capturing the nuances of the BCT-CE interplay. This is evidenced by their lower root-mean-square error (RMSE) and mean absolute error (MAE), signifying greater predictive accuracy. The findings illuminate BCT's potential to revolutionize CE practices, optimize resource use, and foster sustainability in the automotive field.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】automotive industry; blockchain technology; circular economy; machine learning; system GMM
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1002/bse.4003
【影响因子】10.801
【主题类别】
--
【Abstract】In today's business landscape, the paramount focus of firms is to achieve advanced corporate sustainability. This objective has led to the development of big data analytics, reliable big and cloud data analytics capabilities, and blockchain technology as powerful tools worldwide that have helped firms increase sustainable performance. Capitalizing on these technologies, this study provides new insight into the role data-driven competitive sustainability, data-driven culture, and organizational management information in steering firms' performance. Using a quantitative research approach, data was collected through a structured survey administered to managers and IT professionals across various industries. The relationships between the variables were analyzed using structural equation modeling (SEM), confirming that all proposed hypotheses were supported. The results demonstrate the significant positive impact of big data analytics capabilities, reliable big and cloud data analytics capabilities, and blockchain technology on corporate sustainable performance and data-driven competitive sustainability. Furthermore, data-driven competitive sustainability was found to mediate the relationships between BDA, RBCDA, blockchain technology, and corporate sustainable performance. Additionally, OMIS-fit and data-driven culture were identified as critical moderators that enhance the effects of these technological capabilities on competitive sustainability and corporate performance. These findings provide valuable insights for organizations seeking to leverage advanced technological capabilities to achieve a sustainable competitive advantage in emerging economies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain-enabled corporate performance; corporate sustainable performance; data-driven competitive sustainability; data-driven strategic advantage; sustainable digital transformation
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1002/bse.4056
【Author】 Dong, Yaxian Hu, Yuqing Li, Shuai Cai, Jiannan Han, Zhu
【影响因子】10.517
【主题类别】
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【Abstract】Asset tracking is crucial for managing prefabricated construction projects, as delayed deliveries might disrupt interdependent offsite and onsite activities, causing economic losses and disputes. To clarify liabilities, tamperproof asset tracking and delay propagation analysis are necessary. To achieve this, a BIM-blockchain integrated framework via smart contracts is proposed given rich information in BIM and blockchain's immutable records. First, asset information and interdependent activity schedule are automatically transmitted from BIM to blockchain. Then, QR codes are generated and attached to physical assets for tracking. If any delays, compiled smart contracts will automatically derive propagated impacts on offsite and onsite activities considering their interdependencies and proactively notify relevant parties. Affected activities with assets, certification time, and responsible parties are automatically visualized in 4D BIM for timely collaboration. The developed IFCEthereum prototype demonstrates the framework's feasibility and effectiveness, reducing coordination overhead costs and time. Traceable records help further calculate parties' penalties and compensation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Automatic asset tracking; Delay propagation analysis; Building information modeling; Blockchain technologies; Smart contracts; 4D simulation
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Wang, Lu
【影响因子】9.848
【主题类别】
--
【Abstract】While digital transformation is recognized for driving efficiency and sustainability in China's energy sector, its impact on low-carbon transitions through the lens of audit risk remains underexplored. This study examines how digital transformation, encompassing technologies like AI, IoT, Big Data, and blockchain, affects the low-carbon transition of Chinese energy enterprises, with a specific focus on the mediating role of audit risk. Using data from 2008 to 2022, we find that digital transformation significantly enhances low-carbon transitions. Furthermore, our analysis reveals that audit risk, particularly abnormal expenses, mediates this relationship, with lower audit risk amplifying the positive effects of digital transformation. This underscores the importance of robust audit and risk management practices in ensuring the effectiveness of digital transformation for achieving sustainability goals. Importantly, our findings highlight key heterogeneities in this relationship: the impact of digital transformation varies across regions in China and is influenced by the type of audit firm. This suggests that the Eastern region and firms audited by Non-Big Four firms experience the most significant benefits from digitalization in their pursuit of low-carbon transitions. These insights offer valuable guidance for energy companies and policymakers navigating the complexities of digital innovation and sustainable development in China's energy sector.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】digital transformation; audit risk; green transition; energy sector; China; regional heterogeneity; audit firm type
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【影响因子】9.018
【主题类别】
--
【Abstract】Traditional information structures within shipping supply chain platforms often grapple with inefficient decision-making processes, hindering overall efficiency. Blockchain is increasingly utilised in shipping platforms, employing decentralised distributed ledgers to transform the information architecture of supply chains, which are typically characterised by centralised management and fragmented data. However, the ceasing of operations such as TradeLens and 300cubits due to high operating costs, user privacy concerns, and multiple bets also makes investing in blockchain an obscure choice. Motivated by this dilemma about the value of blockchain to platforms, we investigate the impact of user behaviour on blockchain investments in shipping platforms through a game-theoretic model of heterogeneous platform competition. First, our results show that the relationship between the intrinsic value and the option value of blockchain is a crucial determinant of its applicability to platforms. Second, we establish that, although the network effects enhance platform profits, higher network effects exacerbate price competition and hinder the value of the blockchain. Moreover, multi-homing can weaken the strategic dependency between platforms and users, thereby reducing the profitability of platforms. Finally, it is observed that blockchain investment in shipping platforms brings more consumer surplus and social welfare, with moderate network effects and multi-homing behaviour.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; platform competition; network effect; single-homing; multi-homing
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Litvin, Andrey A. Rumovskaya, Sophiya B. De Simone, Belinda Kasongo, Lucienne Sartelli, Massimo Coccolini, Federico Ansaloni, Luca Moore, Ernest E. Biffl, Walter Catena, Fausto
【影响因子】8.165
【主题类别】
--
【Abstract】BackgroundThe quality of Big Data analysis in medicine and surgery heavily depends on the methods used for clinical data collection, organization, and storage. The Knowledge Graph (KG) represents knowledge through a semantic model, enhancing connections between diverse and complex information. While it can improve the quality of health data collection, it has limitations that can be addressed by the Decentralized (blockchain-powered) Knowledge Graph (DKG). We report our experience in developing a DKG to organize data and knowledge in the field of emergency surgery.Methods and resultsThe authors leveraged the cyb.ai protocol, a decentralized protocol within the Cosmos network, to develop the Emergency Surgery DKG. They populated the DKG with relevant information using publications from the World Society of Emergency Surgery (WSES) featured in the World Journal of Emergency Surgery (WJES). The result was the Decentralized Knowledge Graph (DKG) for the WSES-WJES bibliography.ConclusionsUtilizing a DKG enables more effective structuring and organization of medical knowledge. This facilitates a deeper understanding of the interrelationships between various aspects of medicine and surgery, ultimately enhancing the diagnosis and treatment of different diseases. The system's design aims to be inclusive and user-friendly, providing access to high-quality surgical knowledge for healthcare providers worldwide, regardless of their technological capabilities or geographical location. As the DKG evolves, ongoing attention to user feedback, regulatory frameworks, and ethical considerations will be critical to its long-term success and global impact in the surgical field.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Decentralized knowledge graph; Semantic model; Artificial intelligence; Blockchain in medicine; Electronic health records; Emergency surgery; World society of emergency surgery; World journal of emergency surgery; Education
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Morichetta, Andrea Paoloni, Yuri Re, Barbara
【影响因子】7.307
【主题类别】
--
【Abstract】The adoption of smart contracts in decentralized blockchain-based applications enables reliable and certified audits. These audits allow the extraction of valuable information from blockchains, which can be used to reconstruct the execution of the application and facilitate advanced analyses. One of the most commonly used techniques in this context is process mining, which leverages event logs to trace and accurately represent the process execution of applications. However, extracting execution data from blockchains poses significant challenges, and the current methodologies developed have some limitations. Most approaches are tailored to specific use cases, requiring that analysis techniques are defined during the smart contract's development. Other techniques are applied a posteriori, relying on blockchain events that often lack a standardized format. This absence of standardization requires complex processing steps to correlate logs with the executed actions and such approaches are not universally applicable to all smart contracts on the blockchain, further limiting their scope. Lastly, none of the existing techniques can extract information from event logs embedded in internal transactions of smart contracts. To address these limitations, we propose EveLog an application-agnostic methodology that can be applied to any EVM-compatible application without predefined constraints. Its primary goal is to extract information from smart contracts, capturing both public and internal transactions, and organizing the results into a structured XES event log. The EveLog methodology consists of five key steps: (i) extraction of data from smart contract transactions, (ii) decoding raw data, (iii) selection of sorting criteria, (iv) construction of traces, and (v) generation of the XES event log. EveLog has been implemented in a client-server application and tested on existing solutions, specifically the CryptoKitties application, a blockchain-based game on the Ethereum blockchain. The study was conducted using 12,996 blocks, including over 8000 real transactions from the Ethereum mainnet.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Ethereum; XES; Event log; Internal transactions; Process discovery
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【Author】 Arikkat, Dincy R. Cihangiroglu, Mert Conti, Mauro Rehiman, K. A. Rafidha Nicolazzo, Serena Nocera, Antonino Vinod, P.
【影响因子】7.307
【主题类别】
--
【Abstract】The rise of IT-dependent operations in modern organizations has heightened their vulnerability to cyberattacks. Organizations are inadvertently enlarging their vulnerability to cyber threats by integrating more interconnected devices into their operations, which makes these threats both more sophisticated and more common. Consequently, organizations have been compelled to seek innovative approaches to mitigate the menaces inherent in their infrastructure. In response, considerable research efforts have been directed towards creating effective solutions for sharing Cyber Threat Intelligence (CTI). Current information-sharing methods lack privacy safeguards, leaving organizations vulnerable to proprietary and confidential data leaks. To tackle this problem, we designed a novel framework called SeCTIS (Secure Cyber Threat Intelligence Sharing), integrating Swarm Learning and Blockchain technologies to enable businesses to collaborate, preserving the privacy of their CTI data. Moreover, our approach provides away to assess the data and model quality and the trustworthiness of all the participants leveraging some validators through Zero Knowledge Proofs. Extensive experimentation has confirmed the accuracy and performance of our framework. Furthermore, our detailed attack model analyzes its resistance to attacks that could impact data and model quality.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cyber threat intelligence; CTI sharing; Swarm learning; Federated learning; Blockchain; Zero knowledge proof; Internet of Things (IoT)
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【Author】 Pang, Shaoning Teng, Shyh Wei Murshed, Manzur Bui, Cuong Van Karmakar, Priyabrata Li, Yanyu Lin, Hao
【影响因子】6.757
【主题类别】
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【Abstract】The integration of blockchain technology in agricultural traceability has shown immense potential, yet its widespread adoption faces significant roadblocks. Using bulk product traceability as a foundational reference, this paper presents a comprehensive evaluation framework for Blockchain-based Agricultural Traceability. The framework accentuates product identification and data traceability across the supply chain, addressing traceability disconnections caused by bulk product blending. It dives into depth levels from adoption decisionmaking to system design, development, and deployment, emphasizing the critical aspects of traceability compliance and standardization. As a result, we identified the obstacles to adopting agricultural digital traceability and pave the pathway to traceability system deployment. We examined the barriers to implementing digital traceability of agricultural products, taking the Australian grain supply chain as an example. Our findings reveal that lack of standardization and participation barriers are the primary challenges in implementing digital traceability for agricultural products. Our paper offers insights and recommendations for researchers, industry practitioners, and business owners to overcome these challenges and enable digital traceability of agricultural products in global supply chains.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain-based agricultural traceability; Blockchain; Supply chain; Product identification; Data traceability; Industry adoption; Traceability disconnection; Traceability system
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】6.155
【主题类别】
--
【Abstract】Precision health extends beyond the scope of precision medicine and involves a broader range of activities, including the prediction, prevention, treatment, and management of diseases. Tailored to specific populations, precision health offers personalized treatment and preventive measures considering genetics, lifestyle behaviors, social determinants of health, and environmental factors. Precision medicine focuses on the personalized treatment of diseases, whereas precision health aims to promote health and prevent diseases using tools such as big data and advanced analytics to predict health risks and prevent diseases at the population level. Biobanks play a crucial role in achieving precision health because they provide well-characterized biological samples and related data for disease prediction, diagnosis, and treatment. Challenges in integrating different biobanks include data format consistency, privacy concerns, and legal constraints. Standardized methodologies and digitalization can mitigate these challenges. The integration of biobanks can facilitate comprehensive analyses across multiple datasets to achieve various research goals. This study proposes strategies to address these challenges, including the development of a dynamic consent mechanism for population-based biobanks using digitalization and blockchain technology. This study recommends the following: 1) integrating population-based biobanks, 2) introducing dynamic consent tools for human biobanks, and 3) using large human biobanks with dynamic consent for research on diverse diseases. These recommendations can increase the utility of biobanks in realizing precision health. A case study implemented at Taoyuan Tiansheng Hospital demonstrated the effectiveness of these recommendations for achieving precision health and enhancing the value of biobanks. Through a comprehensive examination of precision health and biobanks, this study provides valuable insights for researchers, healthcare professionals, and policymakers in the precision healthcare sector.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Biobank; Precision health; Dynamic consent; Blockchain; Digitalization
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
CCF-C
【影响因子】5.779
【主题类别】
--
【Abstract】Time-series with volatility clustering pose a unique challenge to uncertainty quantification (UQ) for returns forecasts. Methods for UQ such as Deep Evidential regression offer a simple way of quantifying return forecast uncertainty without the costs of a full Bayesian treatment. However, the Normal-Inverse-Gamma (NIG) prior adopted by Deep Evidential regression is prone to miscalibration as the NIG prior is assigned to latent mean and variance parameters in a hierarchical structure. Moreover, it also overparameterizes the marginal data distribution. These limitations may affect the accurate delineation of epistemic (model) and aleatoric (data) uncertainties. We propose a Scale Mixture Distribution as a simpler alternative which can provide favourable complexity-accuracy trade-off and assign separate subnetworks to each model parameter. To illustrate the performance of our proposed method, we apply it to two sets of financial time-series exhibiting volatility clustering: cryptocurrencies and U.S. equities and test the performance in some ablation studies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Neural network; Uncertainty quantification; Time-series; Volatility clustering
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【Author】 Kumar, Neeraj Ali, Rifaqat
【影响因子】5.711
【主题类别】
--
【Abstract】The Internet of Things (IoT) allows for automated operations in diverse fields, such as agriculture monitoring, pollution monitoring, health care, and underwater monitoring. The Internet of Underwater Things (IoUT) observes the underwater environment, assists in exploration, mitigates disasters, and monitors some factors including temperature, pressure, and pollution. The IoUT relies on a network of intelligent underwater sensors that send data to surface base stations and IoT devices for storage and analysis. Nevertheless, these systems face security risks as they operate in unattended environments. Many authentication methods depend on a centralized third party, leading to higher computation costs and energy usage. To mitigate security risks, autonomous underwater devices need secure connections and authentication. This paper suggests a decentralized authentication mechanism for UAN to safeguard against unauthorized access and ensure secure data storage in the cloud. The proposed mechanism prioritizes robustness, transparency, and energy efficiency. The suggested solution incorporates an architecture based on edge and cloud layers, utilizing customized blockchain technology for secure storage and processing of data. The security of the proposed solution has been thoroughly examined through formal analysis utilizing the Real or Random (ROR) Oracle model and Scyther tool. Informal analysis further confirms the solution's resilience against various malicious attacks. Additionally, performance and comparative analysis demonstrate that the proposed solution surpasses existing schemes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Authentication; Blockchain; IoUT (internet of underwater things); ROR model; Scyther tool
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】5.711
【主题类别】
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【Abstract】The Internet of Vehicles (IOV) is a distributed network that provides several services based on vehicle information (e.g., location, speed), such as Electronic Toll Collection (ETC). ETC has been introduced to replace traditional toll booths, where vehicles need to line up to pay, especially during peak travel times. The main advantage of ETC is improved traffic efficiency. However, existing ETC systems often fail to secure the privacy of vehicle information and are vulnerable to fund theft. This makes automatic payments inefficient and susceptible to attacks like the Reentrancy attack. In this paper, we leverage the Ethereum blockchain and smart contracts to facilitate automatic payments within the ETC system. The primary challenges addressed include authenticating vehicle data, automatically deducting fees from users' wallets, and safeguarding against Reentrancy attacks in smart contracts, all while maintaining the confidentiality of distance- related information necessary for fee calculation. To address these concerns, we implement a decentralized application featuring a comprehensive end-to-end verification algorithm that operates at both entry and exit toll points, incorporating robust measures to protect sensitive distance data from potential leaks. Results show that the accuracy of fees remains relatively high, with reasonable execution times. Additionally, our system's gas consumption is more efficient compared to related works, making transactions more cost-effective. These outcomes demonstrate that the proposed system not only secures transactions but also ensures correct and efficient payment services, positioning it as a viable solution for improving the security and functionality of ETC systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Ethereum; Smart contracts; Reentrancy attacks; Security; ETC
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】4.960
【主题类别】
--
【Abstract】The Internet of Things (IoT) has created opportunities for collaboration across organizations and domains through data sharing. However, existing data sharing schemes in IoT face challenges, including privacy breaches, inefficiency, and lack of incentives. To address these issues, blockchain is a promising infrastructure for data sharing due to its decentralization, auditability, and immutability. This paper proposes a novel data sharing scheme based on blockchain and certificateless ring signature (BCRS-DS), which utilizes the certificateless ring signature algorithm to protect the privacy of participants and improves the authentication efficiency. Moreover, BCRS-DS integrates a decentralized anonymous incentive mechanism based on zero- knowledge proof. After completing the data sharing process, participants can provide the zero-knowledge proof data to the smart contract to demonstrate their eligibility for rewards without compromising the privacy. Finally, we verified the effectiveness and practicality of BCRS-DS through theoretical analysis and experiments.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Data sharing; Blockchain; Certificateless ring signature; Privacy protection
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Chandra, Yanto Belk, Russell
【影响因子】4.707
【主题类别】
--
【Abstract】Non-fungible tokens (NFTs) have sparked questions about value. In our attempt to shed light on the value of NFTs, especially during their dramatic rise in the early 2020s, we develop a theoretical analysis of the extrinsic factors shaping NFT value based on a perfect storm of individual, social, marketing, and environmental factors. After detailing the effects of each of these factors in shaping NFT valuation, we develop a new understanding of value in a frenzy of celebrity influence, social media, decentralized authority, unregulated markets, marketing hype, and media magnification. We also articulate the intrinsic factors that still affect value as well. We argue that in the NFT bubble economy and its aftermath, extrinsic, social, and situational factors came to dominate valuation. We offer advice on how to make sense of value in the post NFT bubble and outline a research agenda that considers the role of cryptocurrency and metaverse.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Non-fungible token; NFT; digital goods; value; legitimacy; bubble
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Hall, Mauri K. Jasiak, Joann
【影响因子】3.875
【主题类别】
--
【Abstract】Bubbles and spikes in cryptocurrency prices increase considerably the risk on investments in these assets. In the traditional time series literature bubbles are viewed as nonstationary and non-estimable components of a process. In this paper, we adopt a different approach and consider the bubbles as inherent features of a strictly stationary causal-noncausal (mixed) Vector Autoregressive (VAR) process. This approach allows us to model and estimate the common bubbles and spikes in cryptocurrency prices. It also provides us linear combinations of cryptocurrencies that eliminate common bubbles analogously to the cointegrating vectors eliminating common trends in unit root processes. They are used to build cryptocurrency portfolios immune to the risk of common bubbles that ensure stable investment strategies. The mixed VAR model is estimated from the US Dollar prices of Bitcoin, Ethereum, Ripple, and Stellar over the period 2017-2019. We document the common bubbles and illustrate the behaviour of bubble-free portfolios.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Noncausal Process; Bubble; Bitcoin; Ethereum; Ripple; Cryptocurrency
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Shah, Dhaneshwar Rani, Sunanda Shoukat, Khadija Kalsoom, Habiba Shoukat, Muhammad Usman Almujibah, Hamad Liao, Shengxiao
【影响因子】3.847
【主题类别】
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【Abstract】According to the current situation of deep aging globally, how to provide low-cost and high-quality medical services has become a problem that the whole society needs to consider. To address these challenges, we propose an e-healthcare management system leveraging the integration of the Internet of Things (IoT) and blockchain technologies. Our system aims to provide comprehensive, reliable, and secure one-stop services for patients. Specifically, we introduce a blockchain-based searchable encryption scheme for decentralized storage and real-time updates of electronic health records (EHRs). This approach ensures secure and efficient data traceability across medical equipment, drug supply chains, patient health monitoring, and medical big data management. By improving information processing capabilities, our system aspires to advance the digital transformation of e-healthcare services.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; IoT; e-healthcare; electronic health records; data sharing; data security
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.3390/s24216835
【Author】 Ren, Zhe Wang, Zihao Li, Xinghua Miao, Yinbin Li, Zhuowen Liu, Ximeng Han, Lei Deng, Robert H.
【影响因子】3.796
【主题类别】
--
【Abstract】With the popularity of blockchains, low transaction throughput has become a significant bottleneck in applications such as cryptocurrencies. Payment channel networks (PCNs) have received attention as a way to improve throughput. However, due to the difficulty of predicting future transactions for nodes, the transactions are prone to failure when the channel balances do not meet required conditions. It has been shown that increasing buffers (queues) in PCNs can increase the success rate of transactions and throughput. Nevertheless, there is no effective transaction scheduling strategy in buffers when transaction values are flexible and variable. To solve this problem, we first formulate the Scheduling Problem in PCNs (named PSP), and then prove it is NP-hard. We design a neural network solver based on the Sequence to Sequence (Seq2Seq) architecture and train the solver using the reinforcement learning method. With the solver, we first give two scheduling strategies to maximize transaction throughput, and then design a PCN simulator for performance evaluation. Extensive experiments are conducted to show the superiority and various performances of our proposal and illustrate that our proposal can get a significant advantage in terms of the transaction throughput compared to the existing works.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; payment channel networks; off-chain payments; transaction scheduling; deep reinforcement learning; Blockchain; payment channel networks; off-chain payments; transaction scheduling; deep reinforcement learning
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】3.752
【主题类别】
--
【Abstract】The issue of data quality has emerged as a critical concern, as low-quality data can impede data sharing, diminish intrinsic value, and result in economic losses. Current research on data quality assessment primarily focuses on four dimensions: intrinsic, contextual, presentational, and accessibility quality, with intrinsic and presentational quality mainly centered on data content, and contextual quality reflecting data usage scenarios. However, existing approaches lack consideration for the behavior of data within specific application scenarios, which encompasses the degree of participation and support of data within a given scenario, offering valuable insights for optimizing resource deployment and business processes. In response, this paper proposes a data contribution assessment method based on maximal sequential patterns of behavior paradigms (DecentralDC). DecentralDC is composed of three steps: (1) mining the maximal sequential patterns of sharing and exchange behavior paradigms; (2) determining the weights of these paradigms; (3) calculating the contribution of sharing and exchange databases combined with data volume. To validate our approach, two sharing and exchange scenarios of different scales are established. The experimental results in two scenarios validate the effectiveness of our method and demonstrate a significant reduction in cumulative regret and regret rate in data pricing due to the introduction of data contribution. Specifically, compared to the most competitive baseline, the improvements of mean average precision in two scenarios are 6% and 8%. The code and simulation scenarios have been open-sourced and are available at https://github.com/seukgcode/DecentralDC.
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】2024-11-29
【文献类型】
【Author】 Vella, Giacomo Gastaldi, Luca
【影响因子】3.644
【主题类别】
--
【Abstract】Digital platforms continue to be a focal point for scholars and practitioners, with growing attention being paid to the dynamics that shape platform leadership. Against this backdrop, blockchain technology emerges for its disruptive potential, offering attractive opportunities for collaboration through shared infrastructure, and arguably remodelling power dynamics in platform ecosystems. The increase in interest has, however, produced only a scattering of empirical insights into the creation of blockchain platforms. The research presented in this paper addresses the gap through an exploratory case study, investigating the early phases of a blockchain platform. The study focuses on a project conducted within the banking sector, outlining the process of blockchain platform development and the unique role of its orchestrator. These findings contribute to our understanding of how blockchain platforms are created, and set out the broader implications for digital platforms, exploring the transformative potential of blockchain technology.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; decentralization; platform
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1111/caim.12645
【Author】 Sokienah, Yaman Y.
【影响因子】3.476
【主题类别】
--
【Abstract】Using blockchain technology in interior construction holds transformative potential to increase efficiency, transparency, and sustainability. This first systematic review investigates blockchain's overlooked applications in the interior design industry, addressing an important gap as digital transformation accelerates. Through rigorous literature analysis, this study identifies revolutionary areas including intellectual property protection, smart interiors, sustainable sourcing, procurement, and design innovation. A literature search across scientific databases yielded 122 sources to review blockchain's opportunities and challenges for interior construction regarding supply chain transparency, smart contracts, and communication improvements. Findings synthesize theoretical benefits and real-world limitations in implementing blockchain while proposing priority avenues for future research and industry adoption. With empirical validation across use cases, blockchain could become a standalone solution for transforming interior design and construction practices to be more collaborative, ethical, and environmentally sustainable through inherent features of decentralization, transparency, and immutability. Practical implications encompass the need for policy direction and education to foster effective integration. This review forms the foundation and framework to catalyze the advancement of this high-impact research domain linking innovative technology with the interior-built environment industry.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Industries; Supply chains; Databases; Flowcharts; Technological innovation; Sustainable development; Construction industry; Blockchain technology; interior construction; sustainable material sourcing; construction management
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】3.476
【主题类别】
--
【Abstract】In recent years industry's pursuit of Underwater Wireless Sensor Networks (UWSN) has surged because of UWSN's advancements in commercial and military applications as well as monitoring marine life. Owing to its capabilities, open acoustic channel, and hostile undersea environment, additionally, it is susceptible to many different types of malicious attacks and threats. Although secure interaction and communication is necessary for many UWSN-based applications, attackers can readily exploit vulnerabilities to steal data while the application is in use. However, most of UWSN research to date has not taken security into account. Due to these factors, the objective of this research is to present a thorough review of UWSN security by going over security requirements as well as the primary UWSN security threats according to layered classification. This paper discusses different security concerns and examines countermeasure schemes against UWSN security attacks and strategies created specifically for UWSNs that discuss several security issues. The aim of this study is to discuss various security concerns and examines countermeasure schemes against UWSN security attacks and strategies created specifically for UWSNs that discuss several security issues. The goal of this study is to recommend future lines of inquiry for UWSN research. The proposed study discusses different strategies that had already addressed the security issues. However, how these schemes are still lacking in the performance and what countermeasures can be considered by different techniques such as confidentiality, integrity, authenticity and many more, in order to fulfill the security issues in under water sensors networks. The goal of this study is to recommend future lines of inquiry for UWSN research. Comparisons of different techniques in terms of energy efficiency, latency, and detection accuracy with other major factors have also been done as a guideline for new research.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Security; Wireless sensor networks; Encryption; Authentication; Sensors; Blockchains; Underwater communication; Underwater acoustics; Information security; Underwater equipment; Underwater wireless sensor networks (UWSNs); security attacks; attack mitigation; security mechanism
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Bella, Giampaolo Cantone, Domenico Castiglione, Gianpietro Asmundo, Marianna Nicolosi Santamaria, Daniele Francesco
【影响因子】3.105
【主题类别】
--
【Abstract】Electronic commerce and finance are progressively supporting and including decentralized, shared and public ledgers such as the blockchain. This is reshaping traditional commercial activities by advancing them towards Decentralized Finance (DeFi) and Commerce 3.0, thereby supporting the latter's potential to outpace the hurdles of central authority controllers and lawgivers. The quantity and entropy of the information that must be sought and managed to become active participants in such a relentlessly evolving scenario are increasing at a steady pace. For example, that information comprises asset or service description, general rules of the game, and specific technologies involved for decentralization. Moreover, the relevant information ought to be shared among innumerable and heterogeneous stakeholders, such as producers, buyers, digital identity providers, valuation services, and shipment services, to just name a few. A clear semantic representation of such a complex and multifaceted blockchain-based e-Commerce ecosystem would contribute dramatically to make it more usable, namely more automatically accessible to virtually anyone wanting to play the role of a stakeholder, thereby reducing programmers' effort. However, we feel that reaching that goal still requires substantial effort in the tailoring of Semantic Web technologies, hence this article sets out on such a route and advances a stack of OWL 2 ontologies for the semantic description of decentralized e-commerce. The stack includes a number of relevant features, ranging from the applicable stakeholders through the supply chain of the offerings for an asset, up to the Ethereum blockchain, its tokens and smart contracts. Ontologies are defined by taking a behaviouristic approach to represent the various participants as agents in terms of their actions, inspired by the Theory of Agents and the related mentalistic notions. The stack is validated through appropriate metrics and SPARQL queries implementing suitable competency questions, then demonstrated through the representation of a real world use case, namely, the iExec marketplace.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Ontology; OWL; Semantic Web; DeFi; agent; blockchain; Ethereum; e-commerce; supply chain; ONTOCHAIN; iExec
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.3233/SW-243543
CCF-C
【影响因子】2.812
【主题类别】
--
【Abstract】
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】2024-11-29
【文献类型】
【DOI】 10.1111/exsy.13777
【Author】 Ke, W.
CCF-C
【影响因子】2.812
【主题类别】
--
【Abstract】
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】2024-11-29
【文献类型】
【DOI】 10.1111/exsy.13782
【Author】 Kailasanathan, Nallakaruppan Somayaji, Sivaramakrishnan Baza, Mohamed Srivastava, Gautam Ulaganathan, SenthilKumaran Yenduri, Gokul Ravindranath, Vaishali Alsabaan, Maazen
【影响因子】2.777
【主题类别】
--
【Abstract】Remote diagnosis enables healthcare professionals to evaluate and diagnose patients from a distance using telecommunication technologies, enhancing healthcare delivery by improving accessibility, especially for those in remote or underserved areas. One of the significant sustainability challenges in remote medical diagnostics is offering timely assistance to vulnerable groups like the elderly, disabled, mentally impaired individuals, and wounded military personnel in combat zones. This becomes particularly difficult in emergencies when rapid analysis of medical records is needed, especially if the data is stored on secure blockchain networks. The proposed work addresses these challenges by deploying a comprehensive framework for large-scale analysis, utilizing both document and image classification for dual validation. It integrates advanced techniques such as Inception V3, VGG-16, VGG-19, RESNET-50, and Densenet-201 for bone fracture detection, with Inception V3 achieving the highest accuracy of 95.1%. In addition, a Document Classification Analysis (DCA) method is proposed, which automatically classifies the severity of fractures. Object detection techniques are also introduced for detecting minor fractures using region-based image segmentation, ensuring precise diagnosis even for subtle injuries. This pioneering integration of technologies provides a holistic solution for remote medical diagnostics.
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】2024-11-29
【文献类型】
【Author】 Zhang, Lejun Zhang, Bo Guo, Ran Wang, Zhujun Wang, Guopeng Qiu, Jing Su, Shen Liu, Yuan Xu, Guangxia Tian, Zhihong Gataullin, Sergey
CCF-B
【影响因子】2.669
【主题类别】
--
【Abstract】
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2025
【收录时间】2024-11-29
【文献类型】
【Author】 Ajakwe, Simeon Okechukwu Kim, Dong-Seong
CCF-C
【影响因子】2.568
【主题类别】
--
【Abstract】The use of unmanned aerial vehicles (UAVs) for smart and speedy logistics is still relatively nascent compared to traditional delivery methods. However, it is witnessing sporadic and steady growth due to booming demands, technological advancement, and regulatory support. The intelligence and integrity of UAV systems depend largely on the underlying cognitive and cybersecurity models, which serve as both eyes and brains to perceive and respond to the myriad of scenarios around them. Smart mobility and intelligent logistic ecosystems (SMiLE) are complex and advanced technological networks which are exposed to several issues. The incorporation of UAVs for priority logistics, thereby extending the coverage and capacity of SMiLE, further heightens these vulnerabilities and questions its security, safety, and sustainability. This review scrutinizes the significant security disruptions, smartness dynamics, and sundry developments for the sustainable deployment of UAVs as an aerial logistics-based vehicle. Using the PRISMA-SPIDER methodology, 157 articles were selected for quantitative analysis and 20 review articles for qualitative evaluation. Security and safety issues in UAVs cut across all the layers of logistics operations: components, communication, network architecture, navigation, supply chain etc. Expanding the capacity of SMiLE using UAV demands an intentional and incremental convergence-based integration of an agile explainable artificial framework for reliable and safety-conscious smart mobility, a scalable and tamperproof blockchain for multi-factor authentication, and a zero trust cybersecurity paradigm for inclusive enterprise-based authorization.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】artificial intelligence; blockchain; cyber attacks; drones; logistics; security; smart mobility; zero trust architecture
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1049/itr2.12579
【Author】 Zhang, Liwei Xiong, Qingyue Lan, Qiujun
【影响因子】2.526
【主题类别】
--
【Abstract】Inventory pledge financing (IPF) is a crucial financing way for small and medium-sized enterprise (SMEs). But banks are reluctant to finance SMEs due to fraudulent risk in practice. This paper discusses the application of blockchain in IPF, particularly its impact on mitigating fraud risks. Utilizing game theory models, we illustrate how the finance and operation decisions of participants, along with supply chain efficiency, are influenced by the introduction of blockchain. Meanwhile, equilibrium outcomes are analysed and numerical study is given. Our analysis reveals that under certain conditions, blockchain integration can lead to reduced loan interest rates, lower wholesale prices, increased order quantities by buyers, and enhanced supply chain efficiency. Lastly, we develop a protocol to demonstrate the transfer of digital warehouse receipt on a permissioned blockchain to avoid fraudulent risk. This study provides a theoretical foundation, and a guidance for decisions-making in blockchain-enabled IPF schme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】IPF; warehouse receipt; fraudulent risk; finance and operation decisions; blockchain
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1051/ro/2024194
【Author】 Gogoi, Prokash Valan, J. Arul
【影响因子】2.266
【主题类别】
--
【Abstract】Chronic Kidney Disease (CKD) represents a significant global health challenge, contributing to increased morbidity and mortality rates. This review paper explores the current landscape of machine learning (ML) techniques employed in CKD prediction and diagnosis, highlighting recent trends, inherent challenges, innovative solutions, and future directions. Through an extensive literature survey, we identified key limitations and challenges, including the use of small datasets, the absence of stage-specific predictions, insufficient focus on model interpretability, and a lack of discussions on safeguarding patient privacy in managing sensitive CKD data. We considered these limitations and challenges as research gaps, and this review paper aims to address them. We emphasize the potential of Generative AI to augment dataset sizes, thereby enhancing model performance and reliability. To address the lack of stage-specific predictions, we highlight the need for effective multi-class models to accurately predict CKD stages, enabling tailored treatments and improved patient outcomes. Furthermore, we discuss the critical importance of model interpretability, utilizing methods such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) to ensure transparency and trust among healthcare professionals. Privacy concerns surrounding sensitive patient data are also addressed. We present innovative privacy-preserving solutions using technologies, such as homomorphic encryption, federated learning, and blockchain. These solutions facilitate collaboration across institutions while maintaining patient confidentiality and addressing challenges related to limited generalizability and reproducibility in CKD prediction. This review informs healthcare professionals and researchers about advancements in ML for CKD prediction, to improve patient outcomes and address research gaps.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Chronic kidney disease; Machine learning; Patient confidentiality; Homomorphic encryption; Federated learning; Generative AI
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Karaivanov, Alexander Zarifian, Shayan
【影响因子】1.916
【主题类别】
--
【Abstract】We analyse the economic determinants and dynamics of transaction fees in the Ethereum blockchain before and after two significant platform updates. The first is the August 2021 EIP-1559 'London' upgrade, a switch from user-bid gas price (transaction fee per unit of complexity) to a fee model in which the gas price is the sum of an algorithmically determined base fee and an optional priority fee (tip) chosen by the user. The second update ('the Merge') is the switch from proof-of-work to proof-of-stake transactions validation in September 2022. We estimate the impact on Ethereum transaction fees of both demand factors (block utilization, transaction type, ETH price in USD) and algorithmic supply-side factors (the block gas limit and base fee). Using data from nearly 900 million blockchain transactions, we find that the gas price is statistically significantly positively associated with the block utilization rate. A larger share of contract call transactions or legacy (user-bid gas price) transactions is linked with higher gas prices on average. On the supply side, a higher block gas limit is statistically significantly associated with lower gas prices.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Transaction fees; Ethereum blockchain; gas price; supply and demand factors; time series analysis; G10; G19; G29; C58
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】1.831
【主题类别】
--
【Abstract】Voting has always been a crucial topic of public attention for democratic reasons. The ease of use and low cost are the result of e-voting being frequently used for such important decision outcomes. However, the tremendous authority and intervening data in current e-voting systems make it risky and difficult to achieve correct equity and clarity in e-voting. So, by combining e-voting with blockchain technology, these issues can be resolved while providing reorganization and intervention-resistant characteristics. A voter's improper manipulation, frequent voting, or non-party voting, may also undermine fairness. A verifier is therefore required to check the e-voting mechanism in order to ensure its effectiveness and control the process equality and fairness. In this paper, a Blockchain-based e-Voting Mechanism (BVM) is developed for providing the end to end security and fairness for transparent voting. This mechanism also provides a zero-knowledge proof (ZP) based verifier to inspect the voting procedure against voter's mis-operations and uses a novel Improved Master-key Administration (IMA) based public key cryptography to attack prevention. The utilization of blockchain technology ensures transparency, anonymity, confidentiality, authentication, tamper resistance, and a high level of data integrity, making it a promising choice for modernizing and enhancing the electoral process. Also, the performance of BVM has been compared with similar voting mechanisms and analyzed based on time complexity, security analysis, performance factors like delay and throughput, and anti-attack examination.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; e-voting; fairness; master-key; public key cryptography; verifier; zero-knowledge proof
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1002/cpe.8324
【影响因子】1.634
【主题类别】
--
【Abstract】In this study, we aim to identify the machine learning model that can overcome the limitations of traditional statistical modelling techniques in forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable. We draw on a multivariate large data set of Bitcoin prices and its market microstructure variables and apply three machine learning models, namely double deep Q-learning, XGBoost and ARFIMA-GARCH. The findings show that the double deep Q-learning model outperforms the others in terms of returns and Sortino ratio and is capable of one-step-ahead sign forecast of the returns even on synthetic data. These critical insights in forecasting literature will support practitioners and regulators to identify an economically viable cryptocurrency forecasting return model.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】bitcoin; digital asset; double deep Q-learning; forecasting price; machine learning; reinforcement learning; time-series
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1002/ijfe.3062
【Author】 Malviya, M. Hamdi, M., V
CCF-C
【影响因子】1.345
【主题类别】
--
【Abstract】
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】2024-11-29
【文献类型】
【DOI】 10.1049/cmu2.12866
【Author】 Pavlidis, Efthymios G.
【影响因子】1.208
【主题类别】
--
【Abstract】Periodically collapsing bubbles, if they exist, induce asymmetric dynamics in asset prices. In this article, I show that unit root quantile autoregressive models can approximate such dynamics by allowing the largest autoregressive root to take values below unity at low quantiles, which correspond to price crashes, and above unity at upper quantiles, that correspond to bubble expansions. On this basis, I employ two unit root tests based on quantile autoregressions to detect bubbles. Monte Carlo simulations suggest that the two tests have good size and power properties, and can outperform recursive least-squares-based tests. The merits of the two tests are further illustrated in three empirical applications that examine Bitcoin, US equity and US housing markets. In the empirical applications, special attention is given to the issue of controlling for economic fundamentals. The estimation results indicate the presence of asymmetric dynamics that closely match those of the simulated bubble processes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Rational bubbles; unit root quantile autoregressions; cryptocurrencies; US house prices; S&P 500
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1111/jtsa.12794
【Author】 Adere, Endale Mitiku
【影响因子】0.867
【主题类别】
--
【Abstract】Definitions serve a range of purposes, including providing meaning to a term, describing the characteristics of an object being defined, eliminating any ambiguity about the meaning of a term, demonstrating the etymology of a word, and so on. However, scholars hold differing opinions on everything from the necessity of definitions to the very existence of definitions. This disagreement is evident in various definition theories, types, and methods. This article aims to provide a tentative definition of blockchain using the Aristotelian method of definition, after thoroughly examining existing definitions in the literature. Many publications were collected from multiple databases to achieve this, and non-peer-reviewed literature was excluded. Subsequently, definitions were extracted from the literature using a semi-automated method, creating a mini corpus of definitions, which was then analyzed. During the analysis, it was observed that authors employ eleven class terms and several distinguishing characteristics to define blockchain. However, ten of the class terms were deemed unsuitable based on the analysis, and the definition was ultimately made on the concept of Distributed Ledger Technology (DLT). Nevertheless, the proposed definition is presented as tentative due to the absence of a precise definition for DLT and the ongoing evolution of blockchain. In the field of information systems, defining concepts logically is a rare occurrence caused by professionals' unfamiliarity with communication and logic principles. This study aims to provide a tentative definition ofblockchain that will enable interested parties to have a consistent understanding of the term and lay the groundwork for future definitions in this domain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】definitions; blockchain; aristotelian method
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】
【主题类别】
--
【Abstract】This paper resolves the problem of data inconsistencies and redundancies in the current equipment management system of State Grid Corporation of China (SGCC). We propose a blockchain-based network alignment system (BNAS). Our system offers three key features: fine-grained access control, efficient equipment data synchronization, and retrieval of similar equipment data, improving data management and accuracy during data updates. Specifically, the proposed system utilizes blockchain to connect multiple equipment data sources and employs representation learning techniques to match similar items. An efficient compression algorithm that utilizes composite hashing is proposed to improve the synchronization speed and reduce the storage burden of blockchain by approximately 43%. Moreover, we introduce HAC (Hierarchy Access Control) Tree, a novel data structure that mimics SGCC's affiliations to manage staff's permission to update equipment data. The evaluation results demonstrate BNAS's efficiency in dealing with power equipment data inconsistencies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Access Control; Data Inconsistency; Network Alignment; Representative Learning
【发表时间】2023
【收录时间】2024-11-29
【文献类型】
【影响因子】
【主题类别】
--
【Abstract】China is a traditional agricultural country, and the market size of the agricultural input sales industry is constantly expanding, becoming an important part of agricultural development. However, there are problems such as large amounts of credit sales, poor product quality, and poor after-sales work in the sales of agricultural inputs, which not only increase the economic risks for both supply and demand parties, but also lead to a decrease in agricultural production efficiency. Based on blockchain technology, this article builds a comprehensive evaluation system for agricultural input dealers, helps agricultural input suppliers and customers establish good trust and cooperative relationships, and also helps ensure the stable operation and sustainable development of the supply chain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sales of agricultural inputs; Blockchain; Evaluation system
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1145/3653644.3665802
【Author】 Zhang, Yuchao Wang, Xiaotian He, Xiaofeng
【影响因子】
【主题类别】
--
【Abstract】Sharding is one of the most promising solutions to tackle the well-known scalability issue in blockchain by dividing the network into multiple parallel committees. However, inefficient and insecure handling of cross-shard transactions can lead to a decline in the system service quality. Existing permissioned blockchains are mainly based on the classic two-phase commit (2PC) and two-phase locking (2PL) from traditional distributed databases to implement cross-shard transactions with deterministic safety, but this also leads to issues such as decreased system throughput and frequent transaction aborts. In this paper, we introduce Nexus, an efficient and conflict-equivalent sharded permissioned blockchains to overcome the aforementioned challenges. The core idea of Nexus is to construct a directed acyclic graph (DAG) among all shards to establish a partial order of blocks, while leaving transaction dissemination and final ordering to be completed in parallel by each shard. Nexus alleviate the overhead of global ordering through a efficient consensus process, and ensure that all transactions with overlapping read and write sets can be committed in the same relative order across different shards. A prototype of Nexus is implemented and evaluated, and experimental results show that Nexus achieves approximately 70% and 50% throughput improvement over AHL and SharPer under default settings.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Permissioned; Sharding; Consensus
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Stolarski, Piotr Lewoniewski, Wlodzimierz
【影响因子】
【主题类别】
--
【Abstract】In this work we proposed two models on prediction of the successful and bankrupt digital currency exchanges based on financial data and measures collected from Wikipedia and Wikidata. The purpose of the article is to indicate how intermediary entities providing services related to innovative digital asset markets are characterized in the dominant open online sources. At the same time, this information is related to the knowledge flowing from portals and knowledge bases specializing in crypto-assets. Such a comparison of data and knowledge from two of the aforementioned groups of sources is intended to identify important aspects that objectify the risk analysis process for the selected group of entities. Risk analysis requires obtaining data and knowledge from a variety of sources, as objective as possible. This is the main precondition for having satisfactory and reliable results. Such analysis is necessary in order to make a better selection of intermediary entities for transactions carried out with digital means of exchange of value, and thus should significantly increase the awareness of entities operating in these markets and give the opportunity to reduce specific risks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Crypto-assets; Wikipedia; Wikidata; Open Data; Blockchain Security
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【Author】 Ng, Lucien K. L. Chatzigiannis, Panagiotis Le, Duc V. Minaei, Mohsen Kumaresan, Ranjit Zamani, Mahdi
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【主题类别】
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【Abstract】In recent years, many blockchain systems have progressively transitioned to proof-of-stake (PoS) consensus algorithms. These algorithms are not only more energy efficient than proof-of-work but are also well-studied and widely accepted within the community. However, PoS systems are susceptible to a particularly powerful "long-range" attack, where an adversary can corrupt the validator set retroactively and present forked versions of the blockchain. These versions would still be acceptable to clients, thereby creating the potential for double-spending. Several methods and research efforts have proposed countermeasures against such attacks. Still, they often necessitate modifications to the underlying blockchain, introduce heavy assumptions such as centralized entities, or prove inefficient for securely bootstrapping light clients. In this work, we propose a method of defending against these attacks with the aid of external servers running our protocol. Our method does not require any soft or hard-forks on the underlying blockchain and operates under reasonable assumptions, specifically the requirement of at least one honest server. Central to our approach is a new primitive called "Insertable Proof of Sequential Work" (InPoSW). Traditional PoSW ensures that a server performs computational tasks that cannot be parallelized and require a minimum execution time, effectively timestamping the input data. InPoSW additionally allows the prover to "insert" new data into an ongoing InPoSW instance. This primitive can be of independent interest for other timestamp applications. Compared to naively adopting prior PoSW schemes for InPoSW, our construction achieves >22x storage reduction on the server side and >17900x communication cost reduction for each verification.
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【Keywords】
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【影响因子】
【主题类别】
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【Abstract】As the demand for renewable energy continues to grow, the transparency and credibility of green power certificate transactions have become extremely important. In this paper, an innovative solution is proposed to address the current authentication and traceability challenges faced by green power certificates. The solution integrates the purchase agreement, payment agreement, and nontransferable agreement into a single trading system, aiming to fundamentally solve the problem of repeated green certificate transactions. A security analysis has shown that the solution not only greatly improves the credibility of renewable energy utilization, but also provides a more secure, transparent and effective platform for green power certificate trading.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Non-transferability; Green certificate; Traceability
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1145/3653644.3665217
【Author】 Chen, Yajun Zhao, Guogang Yin, Zelong Li, Chenhao Li, Yulong Zhou, Jinyan Jiao, Yang Li, Lu
【影响因子】
【主题类别】
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【Abstract】In view of the obvious problems in the fresh food traceability system, such as centralized traceability information, easy tampering, and insufficient information transparency, with the help of the decentralization, non-tampering, traceability, openness and transparency of blockchain technology, a zone-based system was designed. The fresh food traceability system model of blockchain technology ensures data security in the fresh food traceability process.
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【Keywords】Blockchain; Traceability; Fresh food
【发表时间】2024
【收录时间】2024-11-29
【文献类型】
【DOI】 10.1145/3653644.3664961