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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Bibliographic Details
Published in:	IEEE transactions on automatic control Vol. 62; no. 1; pp. 65 - 80
Main Authors:	Dawei Shi, Elliott, Robert J., Tongwen Chen
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
ISSN:	0018-9286, 1558-2523
Online Access:	Get full text
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