基于区块链的电动汽车互联网隐私保护激励方案

IF 14.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Qian Mei , Wenxia Guo , Yanan Zhao , Liming Nie , Deepak Adhikari
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引用次数: 0

摘要

可再生能源渗透率的不断提高和电动汽车(EV)的迅速普及促进了电动汽车互联网(IoEV)的发展,它通过利用无线电力传输实现了无缝的电动汽车信息收集和能源传输。然而,互联网基础设施的漏洞和电动汽车的自利行为在 IoEV 能量传输过程中带来了巨大的安全和隐私风险。此外,电动汽车往往缺乏合作实现区域能源平衡的动力。为解决这些问题,本文提出了一种基于区块链的物联网能源交付隐私保护激励机制。基于加密技术,本文引入了一种具有自控和顺序链接性的群签名方案,既能保护电动汽车用户的隐私,又能确保交易记录在能源交付过程中保持准确的顺序。此外,本文还提出了一种基于共同利益声誉管理的激励机制,以鼓励电动汽车用户诚实、合作地参与能源交付。此外,还对所提出的群组签名方案和激励机制进行了全面的安全分析。最后,大量实验结果表明,与现有方案相比,建议的方法既可行又高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle
The emerging proportion of renewable energy resources penetration and the rapid popularity of Electric Vehicles (EVs) have promoted the development of the Internet of Electric Vehicles (IoEV), which enables seamless EV’ information collection and energy delivery by leveraging wireless power transfer. However, vulnerabilities in internet infrastructure and the self-interested behavior of EVs pose significant security and privacy risks during energy delivery in IoEV. In addition, EVs often lack the incentive to cooperate for regional energy balance. To tackle these questions, this paper proposes a blockchain-based privacy-preserving incentive mechanism for energy delivery in IoEV. Based on cryptographic technology, this paper introduces a group signature scheme with self-controlled and sequential linkability, which safeguards the privacy of EV users and ensures transaction records maintain exact sequence during energy delivery. Furthermore, an incentive mechanism based on co-utile reputation management is presented to encourage EV users to participate honestly and cooperatively in energy delivery. Moreover, a comprehensive security analysis of the proposed group signature scheme and incentive mechanism is given. Finally, extensive experimental results demonstrate the feasibility and efficiency of the proposed approach compared to existing schemes.
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来源期刊
Information Fusion
Information Fusion 工程技术-计算机:理论方法
CiteScore
33.20
自引率
4.30%
发文量
161
审稿时长
7.9 months
期刊介绍: Information Fusion serves as a central platform for showcasing advancements in multi-sensor, multi-source, multi-process information fusion, fostering collaboration among diverse disciplines driving its progress. It is the leading outlet for sharing research and development in this field, focusing on architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome.
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