Aggarwal, S., Kumar, N. and Gope, P. orcid.org/0000-0003-2786-0273 (2021) An efficient blockchain-based authentication scheme for energy-trading in V2G networks. IEEE Transactions on Industrial Informatics, 17 (10). pp. 6971-6980. ISSN 1551-3203
Abstract
Vehicle-to-Grid (V2G) networks have been emerged as a new technology in the smart grid (SG). These networks allow a two-way flow of energy-trading between electric vehicles (EVs) and charging stations (CSs) in the SG. During energy- trading, various security and privacy challenges occur in V2G networks. Although several proposals have been proposed, still there are many issues like lack of integrity, mutual authentication, identity privacy-preservation makes the system more vulnerable. Researchers have used the centralized system in V2G networks which may act as a single point of failure. So, for deploying secure V2G networks in the SG, we propose an energy-trading scheme having blockchain between three communicating parties, i.e., EVs, CSs, utility center (UC). The proposed system is divided into three phases, (1) the registration process provides identity privacy-preservation to the EVs and CSs (2) the searching process makes the registration and key-generation steps faster.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Vehicle-to-Grid; Smart Grid; Blockchain; Mutual Authentication; Merkle Root Hash; Electric Vehicles; Charging Stations |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Oct 2020 07:12 |
Last Modified: | 02 Feb 2022 14:06 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tii.2020.3030949 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166776 |