An Efficient Fair Exchange Privacy-Preserving Protocol for V2G Based on Blockchain

Jiejie Jia*, Xiaolei Dong, Jiachen Shen, Zhenfu Cao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the continuous progress of new energy technology, new energy vehicles have gradually become the mainstream. More and more new energy vehicles (EV) are put into use, which not only brings challenges to the current smart grid (SG) system, but also brings brand new opportunities. Vehicle-to-grid (V2G) is a new technology, which not only realizes the power transmission from the grid to the Vehicle, but also realizes the auxiliary power transmission ability from the vehicle to the grid. But the privacy problem and the fairness of the transaction are still an urgent problem to be solved. Privacy issues can lead to the user's privacy being obtained and analyzed by malicious participants, resulting in the user's property being threatened. Fair exchange means that in the transaction process, if one party is malicious, the honest party has no loss or the loss is negligible; Or if both parties are malicious or honest, there is no loss for either party. This paper proposes a Vehicle-to-grid privacy protection fair exchange system based on blockchain. Homomorphic commitment and hashchain are introduced to achieve privacy protection and fair exchange.

Original languageEnglish
Title of host publicationThird International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2022
EditorsXiaoli Li
PublisherSPIE
ISBN (Electronic)9781510663473
DOIs
StatePublished - 2023
Event3rd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2022 - Wuhan, China
Duration: 11 Nov 202213 Nov 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12610
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2022
Country/TerritoryChina
CityWuhan
Period11/11/2213/11/22

Keywords

  • Blockchain
  • Fair exchange
  • Privacy-preserving
  • Vehicle-to-grid

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