Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems
This paper addresses security problems in cyber-physical systems (CPSs). A multi-objective optimal stealthy attack strategy is designed to disrupt the estimation process and degrade the stabilizing performance of the systems simultaneously. First, a feasible region in which the attack sequences rema...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10969495/ |
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| _version_ | 1849732743851671552 |
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| author | Yibo Huang Zhihuan Song Wei Yu |
| author_facet | Yibo Huang Zhihuan Song Wei Yu |
| author_sort | Yibo Huang |
| collection | DOAJ |
| description | This paper addresses security problems in cyber-physical systems (CPSs). A multi-objective optimal stealthy attack strategy is designed to disrupt the estimation process and degrade the stabilizing performance of the systems simultaneously. First, a feasible region in which the attack sequences remain stealthy is specified. Then, the attack strategy is derived from solving an optimization problem aimed at maximizing the perturbation of CPSs. The paper also outlines an algorithm that demonstrates the implementation of the attack. Finally, a simulation example is presented to illustrate both the stealthiness of the attack and the resulting degradation in system performance. |
| format | Article |
| id | doaj-art-c39e194d52864ca2ababffc91f6154b4 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-c39e194d52864ca2ababffc91f6154b42025-08-20T03:08:14ZengIEEEIEEE Access2169-35362025-01-0113854078541410.1109/ACCESS.2025.356189110969495Multi-Objective Optimal Stealthy Attack on Cyber-Physical SystemsYibo Huang0https://orcid.org/0000-0002-9163-6850Zhihuan Song1https://orcid.org/0000-0003-4098-6479Wei Yu2https://orcid.org/0009-0000-9611-5256Huadian Electric Power Research Institute, Hangzhou, Zhejiang, ChinaCollege of Control Science and Engineering, Zhejiang University, Hangzhou, ChinaHuadian Electric Power Research Institute, Hangzhou, Zhejiang, ChinaThis paper addresses security problems in cyber-physical systems (CPSs). A multi-objective optimal stealthy attack strategy is designed to disrupt the estimation process and degrade the stabilizing performance of the systems simultaneously. First, a feasible region in which the attack sequences remain stealthy is specified. Then, the attack strategy is derived from solving an optimization problem aimed at maximizing the perturbation of CPSs. The paper also outlines an algorithm that demonstrates the implementation of the attack. Finally, a simulation example is presented to illustrate both the stealthiness of the attack and the resulting degradation in system performance.https://ieeexplore.ieee.org/document/10969495/Cyber-physical systemscyber securitystate estimationstealthy attack |
| spellingShingle | Yibo Huang Zhihuan Song Wei Yu Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems IEEE Access Cyber-physical systems cyber security state estimation stealthy attack |
| title | Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems |
| title_full | Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems |
| title_fullStr | Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems |
| title_full_unstemmed | Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems |
| title_short | Multi-Objective Optimal Stealthy Attack on Cyber-Physical Systems |
| title_sort | multi objective optimal stealthy attack on cyber physical systems |
| topic | Cyber-physical systems cyber security state estimation stealthy attack |
| url | https://ieeexplore.ieee.org/document/10969495/ |
| work_keys_str_mv | AT yibohuang multiobjectiveoptimalstealthyattackoncyberphysicalsystems AT zhihuansong multiobjectiveoptimalstealthyattackoncyberphysicalsystems AT weiyu multiobjectiveoptimalstealthyattackoncyberphysicalsystems |