A privacy-preserving energy trading scheme in blockchain-based V2G networks

Gang Shen; Xiao Zhuang

doi:10.1117/12.2668092

20 April 2023 A privacy-preserving energy trading scheme in blockchain-based V2G networks

Gang Shen, Xiao Zhuang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260233 (2023) https://doi.org/10.1117/12.2668092
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Vehicle to grid (V2G) network plays an important role, which can realize the electric energy transaction between electric vehicle (EV) and smart grid (SG). However, sensitive information on the identity of EVs and the transaction bills may be leaked. In this paper, a privacy-preserving energy trading scheme based on blockchain is proposed, which can protect private information such as transaction amount and identities of EVs. Specifically, elliptic curve encryption and digital signature are used to realize the confidentiality and integrity of transaction information, respectively. At the same time, we also use blockchain and smart contract technology to ensure the immutability of transaction amount between EVs and SG. Finally, we prove the security of the proposed scheme and evaluate its efficiency.

Citation Download Citation

Gang Shen and Xiao Zhuang "A privacy-preserving energy trading scheme in blockchain-based V2G networks", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260233 (20 April 2023); https://doi.org/10.1117/12.2668092

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