期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 63, 期 7, 页码 2199-2205出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2017.2775344
关键词
Cyber-physical systems (CPS); Kalman filtering; Markov processes; optimization algorithms
资金
- National Natural Science Foundation of China [61573103, 61533008, 61520106009]
- Fundamental Research Funds for the Central Universities [2242016K41068]
- State Key Laboratory of Synthetical Automation for Process Industries
- HKUST internal research fund [IEG15EG01]
Recently, the security issue of wireless cyber-physical systems (CPS) has attracted much attention from different communities. In this paper, we consider energy-efficient optimal attack power schedule against remote state estimation of wireless CPS under constrained denial-of-service attacks based on channels' signal-to-interference-plus-noise ratio (SINR). We propose a wireless communication model with SINRs of channels, in which different attack powers can cause different dropout rates. The problem of optimal attack power schedule that causes the largest performance degradation of the remote state estimation, subject to attacker's average energy constraint in multisystems, is solved by formulating it as a Markov decision process. We show that an optimal deterministic and stationary policy exists and the optimal policy has a threshold structure.
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