Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems
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 quantitati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/8/6/5266 |
| _version_ | 1811305022573510656 |
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| author | Xiaming Ye Junhua Zhao Yan Zhang Fushuan Wen |
| author_facet | Xiaming Ye Junhua Zhao Yan Zhang Fushuan Wen |
| author_sort | Xiaming Ye |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T08:18:05Z |
| format | Article |
| id | doaj.art-6c8aea37408d484c8c71b49f968c26b9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T08:18:05Z |
| publishDate | 2015-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6c8aea37408d484c8c71b49f968c26b92022-12-22T02:54:43ZengMDPI AGEnergies1996-10732015-06-01865266528610.3390/en8065266en8065266Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation SystemsXiaming Ye0Junhua Zhao1Yan Zhang2Fushuan Wen3College of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaSchool of Electrical Engineering and Computer Science, the University of Newcastle, Newcastle, NSW 2308, AustraliaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaDepartment of Electrical and Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BE1410, BruneiThe 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.http://www.mdpi.com/1996-1073/8/6/5266smart griddistribution automation systemcyber securityvulnerability assessment |
| spellingShingle | Xiaming Ye Junhua Zhao Yan Zhang Fushuan Wen Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems Energies smart grid distribution automation system cyber security vulnerability assessment |
| title | Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems |
| title_full | Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems |
| title_fullStr | Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems |
| title_full_unstemmed | Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems |
| title_short | Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems |
| title_sort | quantitative vulnerability assessment of cyber security for distribution automation systems |
| topic | smart grid distribution automation system cyber security vulnerability assessment |
| url | http://www.mdpi.com/1996-1073/8/6/5266 |
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