Elliptic curve cryptography-based authentication with identity protection for smart grids

Zhang, Liping, Tang, Shanyu ORCID: https://orcid.org/0000-0002-2447-8135 and Luo, He (2016) Elliptic curve cryptography-based authentication with identity protection for smart grids. PLoS ONE, 11 (3). pp. 1-15.

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Abstract

In a smart grid, the power service provider enables the expected power generation amount to be measured according to current power consumption, thus stabilizing the power system. However, the data transmitted over smart grids are not protected, and then suffer from several types of security threats and attacks. Thus, a robust and efficient authentication proto- col should be provided to strength the security of smart grid networks. As the Supervisory Control and Data Acquisition system provides the security protection between the control center and substations in most smart grid environments, we focus on how to secure the communications between the substations and smart appliances. Existing security approaches fail to address the performance-security balance. In this study, we suggest a mitigation authentication protocol based on Elliptic Curve Cryptography with privacy protection by using a tamper-resistant device at the smart appliance side to achieve a delicate balance between performance and security of smart grids. The proposed protocol provides some attractive features such as identity protection, mutual authentication and key agreement. Finally, we demonstrate the completeness of the proposed protocol using the Gong- Needham- Yahalom logic.

Item Type: Article
Identifier: 10.1371/journal.pone.0151253
Additional Information: © 2016 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Subjects: Computing > Information security > Cyber security
Computing > Information security
Depositing User: Shanyu Tang
Date Deposited: 26 Sep 2017 22:12
Last Modified: 06 Feb 2024 15:54
URI: https://repository.uwl.ac.uk/id/eprint/3939

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