On Finite-State Stochastic Modeling and Secure Estimation of Cyber-Physical Systems

The problem of secure state estimation and attack detection in cyber-physical systems is considered in this paper. A stochastic modeling framework is first introduced, based on which the attacked system is modeled as a finite-state hidden Markov model with switching transition probability matrices c...

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Veröffentlicht in:	IEEE transactions on automatic control 2017-01, Vol.62 (1), p.65-80
Hauptverfasser:	Dawei Shi, Elliott, Robert J., Tongwen Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Cyber-physical system (CPS) Cyber-physical systems cyber-security Cybersecurity Estimation hidden Markov model (HMM) Hidden Markov models Markov chains Markov decision processes Markov processes Numerical models Probability theory Process control secure estimation State estimation Stochastic models System effectiveness Transition probabilities
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