Gope, P. orcid.org/0000-0003-2786-0273 and Sikdar, B. (2019) An efficient privacy-preserving authentication scheme for energy internet-based vehicle-to-grid communication. IEEE Transactions on Smart Grid, 10 (6). 6. pp. 6607-6618. ISSN 1949-3053
Abstract
The energy Internet (EI) represents a new electric grid infrastructure that uses computing and communication to transform legacy power grids into systems that support open innovation. EI provides bidirectional communication for analysis and improvement of energy usage between service providers and customers. To ensure a secure, reliable, and efficient operation, the EI should be protected from cyber attacks. Thus, secure and efficient key establishment is an important issue for this Internet-based smart grid environment. In this paper, we propose an efficient privacy-preserving authentication scheme for EI-based vehicle-to-grid communication using lightweight cryptographic primitives such as one-way non-collision hash functions. In our proposed scheme, a customer can securely access services provided by the service provider using a symmetric key established between them. Detailed security and performance analysis of our proposed scheme are presented to show that it is resilient against many security attacks, cost effective in computation and communication, and provides an efficient solution for the EI.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 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: | Energy Internet; mutual authentication; advanced metering infrastructure; smart grids |
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: | 30 Jan 2020 14:37 |
Last Modified: | 02 Apr 2020 00:38 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tsg.2019.2908698 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156053 |