Abstract
The rapid development of distributed energy puts forward new requirements for real-time scheduling capability. Energy agents may steal or even tamper with relevant information to maximize their own interests, which will eventually lead to malicious competition. First, in order to solve the possible problems of malicious behaviors such as price channeling and malicious quotation of energy agency nodes in the energy blockchain, this paper provide an energy blockchain consensus method based on regional alliance node credit by adding a credit mechanism in the process of block generation and verification. Second, the method consists of two parts, one of which is that the scheduling network is divided into different regional alliances by using the regional partitioning algorithm to improve the efficiency of node verification, and the other is that we propose the method of accounting credit and verification credit evaluation of energy agency node by using the credit evaluation mechanism, and weigh the cost of nodal rewards and punishments by credit mechanisms, so as to restrain the malicious behavior of the node. Finally, the evaluation and analysis of simulation experiment show that this method can restrain the malicious behavior of nodes, reduce the consumption of the process of verification and forwarding, and improve the efficiency of verification.
This work is supported in part by Key Laboratory Open Project Fund of Engineering and Technical Research Center of Embankment Safety and Disease Control of Ministry of Water Resources (2018007), National Key R&D Program of China (2018YFB1201403) and CERNET Innovation Project (NGII20180702).
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She, W. et al. (2020). A Mutual Trust Method for Energy Internet Agent Nodes in Untrusted Environment. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_49
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DOI: https://doi.org/10.1007/978-3-030-57881-7_49
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