- Title
- Quantitative vulnerability assessment of cyber security for distribution automation systems
- Creator
- Ye, Xiaming; Zhao, Junhua; Zhang, Yan; Wen, Fushan
- Relation
- Energies Vol. 8, Issue 6, p. 5266-5286
- Publisher Link
- http://dx.doi.org/10.3390/en8065266
- Publisher
- MDPI AG
- Resource Type
- journal article
- Date
- 2015
- Description
- The distribution automation system (DAS) is vulnerable to cyber-attacks due to the widespread use of terminal devices and standard communication protocols. On account of the cost of defense, it is impossible to ensure the security of every device in the DAS. Given this background, a novel quantitative vulnerability assessment model of cyber security for DAS is developed in this paper. In the assessment model, the potential physical consequences of cyber-attacks are analyzed from two levels: terminal device level and control center server level. Then, the attack process is modeled based on game theory and the relationships among different vulnerabilities are analyzed by introducing a vulnerability adjacency matrix. Finally, the application process of the proposed methodology is illustrated through a case study based on bus 2 of the Roy Billinton Test System (RBTS). The results demonstrate the reasonability and effectiveness of the proposed methodology.
- Subject
- smart grid; distribution automation system; cyber security; vulnerability assessment
- Identifier
- http://hdl.handle.net/1959.13/1331118
- Identifier
- uon:26543
- Identifier
- ISSN:1996-1073
- Rights
- © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
- Language
- eng
- Full Text
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