【Author】 Fang, He Zhu, Yongxu Zhang, Yan Wang, Xianbin
CCF-B
【影响因子】8.346
【主题类别】
区块链技术-核心技术-认证机制
【Abstract】Given the frequently changing and potentially unreliable environment, the seamless handover authentication is essential to achieve zero-trust Internet of Vehicles (IoV) network with dramatically enhanced communication and transportation safety. The traditional centralized handover authentication schemes may suffer from the excessive latency and situation agnostic limitation, leading to potential interruption of critical services for fast moving vehicles. To overcome the above challenges, this paper proposes a novel decentralized edge collaboration-based handover authentication scheme with the assistance of blockchain for providing continuous protections in zero-trust IoV. A distributed learning process is designed by involving multiple authentication cooperators (ACs) to collect device/location-related features of vehicles at network edge and then to verify their identities. During the movement of vehicles, the access point (AP) could select new ACs by transferring the security information from existing ACs to the new members for seamless handover authentication. A situation-aware AC selection and update algorithm is proposed for maximizing handover authentication accuracy. Moreover, a hierarchical blockchain-assisted security information transfer and reputation management mechanism is designed for reliable collaboration and efficient management in zero-trust IoV. Compared with the existing schemes, our results characterize the outperformance of the proposed scheme in authentication accuracy and time cost of handover.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Authentication; Handover; Security; Reliability; Collaboration; Blockchains; Wireless communication; Zero-trust IoV; handover authentication; distributed learning; hierarchical blockchain; reliable edge collaboration
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 案例研究
【DOI】 10.1109/TWC.2024.3354064
【Author】 Niu, Lei Cai, Qihang Li, Kai Ren, Fenghui Yu, Xinguo
CCF-C
【影响因子】7.802
【主题类别】
区块链治理-技术治理-其他
【Abstract】In an economic market, participants usually need to conduct negotiations to complete commercial trades. With the constant expansion of the economic scale, it has become much more difficult to select good candidates as the negotiation opponents among all participants with varied behaviors in a market. Moreover, economic markets often suffer from a monopoly problem, which creates barriers for competitors to enter the market and leading to unfair consumer practices. To overcome the above issues, this paper (1) proposes a reputation-aided negotiation mechanism for multiple participants in the market based on the blockchain technique and multi- agent system; and (2) implements a system that applies the proposed mechanism, which is a specific Artificial Intelligence (AI) application of the combination of multi-agent system and blockchain. These AI agents leverage sophisticated reputation systems to evaluate the reliability and historical behaviors of potential trade partners, thereby enriching the negotiation decision-making process. The integration of agents and reputation-based mechanisms into blockchain-based systems has the following significance: (1) market participants stand to benefit from streamlined and trustworthy negotiations; (2) pushing all participants in the market to proactively improve their behaviors to increase their profits and market shares; (3) the implementation of a novice protection method within this framework serves to counteract the detrimental effects of monopolies, fostering a more equitable and competitive market landscape for all participants. Overall, the fusion of reputation-aided negotiation mechanisms with implemented AI presents a promising approach to enhancing market dynamics, promoting fair competition, and incentivizing positive behaviors among participants in economic markets.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Multi-agent system; Multiple negotiations; Reputation; Blockchain-based application; Implemented artificial intelligence
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 案例研究
【Author】 Salehi, Mohammad Kazem Rastegar, Mohammad
【影响因子】7.201
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】In modern paradigm of smart grid, prosumers can trade energy peer-to-peer in a transactive energy market to reduce energy costs and improve energy efficiency. In addition, cloud energy storage (CES) is a type of shared energy storage systems with high economic efficiency that can provide energy storage services for prosumers and become an active player in energy trading. However, transactive energy implementation in power systems has several challenges such as data privacy and security. In existing researches, energy trading mechanisms rely on central authorities, where security and privacy cannot be maintained. Therefore, this paper presents a decentralized stochastic optimization model of transactive energy management based on blockchain in the presence of CES. In this framework, the smart contract based on Alternating Direction Method of Multipliers technique is deployed on the Ganache and Ethereum blockchains, and the YALMIP toolbox along with CPLEX solver handle decentralized optimization in the MATLAB software. The numerical results demonstrate that not only the capacity of distributed generations is fully utilized, but also total costs of smart homes are reduced by more than 27%, and the total grid's delivery power to smart homes is decreased by more than 24% compared to the inflexible scheduling.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Decentralized energy management; Renewable energy sources; Transactive energy; Cloud energy storage; Blockchain; P2P energy trading; Smart contract; Uncertainty; Smart home
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 案例研究
【影响因子】6.614
【主题类别】
区块链应用-虚拟经济-NFT
【Abstract】The integration of nonfungible tokens (NFTs) in health care, particularly in cardiovascular medicine, represents a disruptive shift toward enhancing the security and interconnection of electronic health data around the patient. NFTs, unique digital certificates fi cates stored on a blockchain network, bind various sources of health data to their owner (the patient) and delineate the access rights for stakeholders (providers, researchers) using smart contracts. Data sources might include electronic medical records from different hospitals, clinics, pharmacies, test centres, and mHealth devices. Accordingly, patients and their providers benefit fi t from seamless visibility of diagnoses, medications, electrocardiograms, imaging, home blood pressure logs, and artificial fi cial intelligence-enabled insights from these aggregated data. Rather than being stored on proprietary servers, data are encrypted and stored on decentralized networks with a unified fi ed point of access and immutable proof of ownership, making them more robust to theft or tampering. As custodians of their NFTs, patients are incentivized to actively partake in their health monitoring and self-driven research that aligns with their needs using innovative marketplaces that allow them to browse studies, document their informed consent, and monetize their contributions. Furthermore, they are empowered to educate themselves and seek care across siloes in traditional settings or virtual platforms such as the metaverse, where NFTs serve as digital passports. Despite these exciting prospects, adoption within the health care sector remains in its infancy, with ethical and technical limitations still being addressed. In this article we explore the multifaceted applications and key players in the fi eld, and outline use-cases for patient-centred cardiovascular care featuring NFTs.
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】2024-10-23
【文献类型】 案例研究
【Author】 Sciume, Giuseppe Iurlaro, Cosimo Bruno, Sergio Musca, Rossano Gallo, Pierluigi Zizzo, Gaetano La Scala, Massimo
【影响因子】5.405
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】The increasing penetration of renewable sources introduces new challenges for power systems' stability, especially for isolated systems characterized by low inertia and powered through a single diesel power plant, such as it happens in small islands. For this reason, research projects, such as the BLORIN project, have focused on the provision of energy services involving electric vehicles owners residential users to mitigate possible issues on the power system due to unpredictable generation from renewable sources. The residential users were part of a blockchain-based platform, which also the Distributors/Aggregators were accessing. This paper describes the integrated framework that was set up to verify the feasibility and effectiveness of some of the methodologies developed in the BLORIN project for fast frequency response in isolated systems characterized by low rotational inertia. The validation of the proposed methodologies for fast frequency response using Vehicle-to-Grid or Demand Response programs was indeed carried out by emulating the dynamic behavior of different power resources in a Power Hardware-in-the-Loop environment using the equipment installed at the LabZERO laboratory of Politecnico di Bari, Italy. The laboratory, hosting a physical microgrid as well as Power Hardware-in-the-Loop facilities, was integrated within the BLORIN blockchain platform. The tests were conducted by assuming renewable generation development scenarios (mainly photovoltaic) and simulating the system under the worst-case scenarios caused by reduced rotational inertia. The experiments allowed to fully simulate users' interaction with the energy system and blockchain network reproducing realistic conditions of tracking and remuneration of users' services. The results obtained show the effectiveness of the BLORIN platform for the provision, tracking and remuneration of grid services by electric vehicles and end users, and the benefits that are achieved in terms of reducing the number of diesel generating units that need to be powered on just to provide operational reserve due to the penetration of renewable sources, resulting in fuel savings and reduced emissions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Islanded power systems; Frequency regulation; Power hardware-in-the-loop; Renewables penetrations; Demand-response; Vehicle-to-grid
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 理论模型
【Author】 Zhou, Xinhuang Luo, Ming Qiu, Minrong
CCF-C
【影响因子】5.047
【主题类别】
区块链技术-核心技术-签名方案
【Abstract】Smart grid develops rapidly, but there are still security risks such as user privacy leakage, power data tampering and audit data inconsistency. The existing schemes to ensure data security mainly use traceable ring signcryption, which is applied in distributed application scenarios such as smart grid. Traceable ring signcryption can ensure the anonymity, integrity, unforgeability and confidentiality of data, and can trace the real identity of anonymous users. However, the traceability of these schemes is arbitrary, any actor can trace the identity of anonymous users, and they do not resolve disputes caused by tampered or inconsistent data. To remedy these deficiencies, we combine ring signcryption with consortium blockchain technology for the first time to achieve privacy protection and conditional tracing, which can effectively avoid anonymous user identity being revealed at will. Consortium blockchain is a semi-distributed P2P network that can solve data disputes and is suitable for organizations that require certain access control mechanisms such as smart grid. In this paper, we propose a heterogeneous ring signcryption scheme with privacy protection and conditional tracing (CTHRSC) which between certificateless cryptographic system (CLC) and public key infrastructure (PKI). Besides, we prove that our scheme is secure under the discrete logarithm problem (DLP) and decisional Diffie- Hellman problem (DDHP) in random oracle model (ROM). Compared with other signature or signcryption schemes, our advantages are satisfying conditional tracing and known temporary session key security (KTSKS), requiring less computation cost and communication overhead.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Ring signcryption; Privacy protection; Conditional tracing; Smart grid; Consortium blockchain
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 理论模型
CCF-C
【影响因子】4.816
【主题类别】
区块链技术-协同技术-边缘计算
【Abstract】With the rise of smart city applications, the accessibility of users' location data by smart devices has increased significantly. However, this poses a privacy concern as attackers can deduce personal information from the raw location data. In this paper, we propose a framework to collect user location data while ensuring local differential privacy (LDP) in the last-mile delivery system of Unmanned Aerial Vehicles (UAVs) within an edge computing environment. Firstly, we obtain the user location distribution Quad-tree by employing a region partitioning method based on Quad-tree retrieval in the specified data collection area. Next, the user location matrix is retrieved from the obtained Quad-tree, and we perturb the user location data using an LDP perturbation scheme on the location matrix. Finally, the collected data is aggregated using blockchain to evaluate the utility of the dataset from various regions. Furthermore, to validate the effectiveness of our framework in a real-world scenario, we conduct extensive simulations using datasets from multiple cities with varying urban densities and mobility patterns. These simulations not only demonstrate the scalability of our approach but also showcase its adaptability to different urban environments and delivery demands. Finally, our research opens new avenues for future work, including the exploration of more sophisticated LDP mechanisms that can offer higher levels of privacy without significantly compromising the quality of service. Additionally, the integration of emerging technologies such as 5G and beyond in the edge computing environment could further enhance the efficiency and reliability of UAV-based delivery systems, while also offering new challenges and opportunities for privacy-preserving data collection and analysis.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Location data collection; Local differential privacy; Edge computing; UAV delivery systems; Blockchain
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 理论模型
【影响因子】4.217
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】This paper analyzes the dependence and connectedness among fourth-industrial revolution technology markets (including big data and artificial intelligence, blockchain, and financial technology) and global and regional (US, Europe, and Asia) green energy markets. In particular, we consider the dynamic dependence among these markets in terms of both returns and volatility across different market conditions and investment horizons using the cross-spectral coherence and Quantile-VAR connectedness approach. Three main results emerge from our analysis. First, the return dependence is relatively stronger than volatility dependence and is stronger across most time scales among the technology markets and the European and Asian regional green energy indexes. Second, the return and volatility connectedness is stronger during extreme than normal market conditions. Unless under bullish market times, volatility connectedness appears smaller than return connectedness, implying that market volatility risks spread less forcefully among these markets than return risks under normal and bearish market periods. Third, geopolitical risks, business environment, economic policy, fixed-income, and oil and gold markets' uncertainties are significant predictors of the degree of return and volatility connectedness. Overall, our findings offer crucial insights for short- and long-term investors interested in portfolios with modern technology and green assets. They also emphasize the roles of market and macroeconomic factors in shock propagation and their implications for low-carbon transition.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Big Data and Artificial Intelligence; Blockchain; Financial Technology; Green-Energy Market; Dependence; Quantile Connectedness
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 案例研究
【Author】 Calzada, Igor
【影响因子】3.889
【主题类别】
区块链技术-协同技术-人工智能
【Abstract】In an era of rapid technological advancement, decisions about the ownership and governance of emerging technologies like Artificial Intelligence will shape the future of both urban and rural environments in the Global North and South. This article explores how AI can move beyond the noise of algorithms by adopting a technological humanistic approach to enable Social Innovation, focusing on global inequalities and digital justice. Using a fieldwork Action Research methodology, based on the Smart Rural Communities project in Colombia and Mozambique, the study develops a framework for integrating AI with SI. Drawing on insights from the AI4SI International Summer School held in Donostia-San Sebasti & aacute;n in 2024, the article examines the role of decentralized Web3 technologies-such as Blockchain, Decentralized Autonomous Organizations, and Data Cooperatives-in enhancing data sovereignty and fostering inclusive and participatory governance. The results demonstrate how decentralization can empower marginalized communities in the Global South by promoting digital justice and addressing the imbalance of power in digital ecosystems. The conclusion emphasizes the potential for AI and decentralized technologies to bridge the digital divide, offering practical recommendations for scaling these innovations to support equitable, community-driven governance and address systemic inequalities across the Global North and South.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】AI; social innovation; web3; blockchain; DAOs; data cooperatives; decentralization; political economy; digital justice; global south
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 理论模型
【DOI】 10.3390/su16198638
【影响因子】1.455
【主题类别】
区块链应用-实体经济-保险领域
【Abstract】Existing blockchain-based charitable models face multiple challenges, like authenticating information uploaded to the blockchain, a lack of dispute resolution and corresponding execution mechanisms, legal barriers and low public engagement. To this end, we propose a novel blockchain-based charity model that introduces an insurance mechanism, which aims to enhance accountability, efficiency, availability and public participation. Specifically, our solution combines consortium blockchain with a semi-decentralised architecture (SDA), which enables more democratic supervision of charitable projects by dispersing verification data to all clients while maintaining the high efficiency, convenience and accountability of centralisation as well as the security and transparency of decentralisation. The model also incorporates smart contracts to automate the execution of insurance claims in case of disputes, significantly enhancing the efficiency and fairness of the claims process.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Charity; Crowdfunding; Insurance; Smart contract
【发表时间】2024
【收录时间】2024-10-23
【文献类型】 案例研究