False data injection attacks on sensors against state estimation in cyber-physical systems |
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| Institution: | 1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;1. School of Electrical Engineering, Hunan University of Technology, Zhuzhou 412000, China;2. School of Mathematical Science, Sunway University, Selangor Darul Ehsan 47500, Malaysia;1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China;2. Departament de Telecomunicació i d''Enginyeria de Sistemes, Escola d''Enginyeria, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain;3. School of Information and Communication Engineering, Hainan University, Haikou, 570228, Hainan, China;1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;2. Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Ministry of Education, China;3. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
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| Abstract: | In this paper, the problem about the false data injection attacks on sensors to degrade the state estimation performance in cyber-physical systems(CPSs) is investigated. The attack strategies for unstable systems and stable ones are both designed. For unstable systems, based on the idea of zero dynamics, an unbounded attack strategy is proposed which can drive the state estimation error variations to infinity. The proposed method is more general than existing unbounded attack strategies since it relaxes the requirement for the initial value of the estimation error. For stable systems, it is difficult to bring unbounded impacts on the estimation error variations. Therefore, in this case, an attack strategy with adjustable attack performance which makes the estimation error variations track predesigned target values is proposed. Furthermore, a uniform attack strategy which aims to deteriorate state estimation for both stable systems and unstable ones is derived. Finally, simulations are provided to illustrate the effectiveness of the proposed attack strategies. |
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