The paper deals with resilient state estimation of cyber-physical systems subject to switching signal attacks and fake measurement injection. In particular, the random set paradigm is adopted in order to model the switching nature of the signal attack and the fake measurement injection via Bernoulli and/or Poisson random sets. The problem of jointly detecting a signal attack and estimating the system state in presence of fake measurements is then formulated and solved in the Bayesian framework leading to the analytical derivation of a hybrid Bernoulli filter that updates in real-time the joint posterior density of the detection attack Bernoulli set and of the state vector. Exploiting a Gaussian-mixture implementation of the filter, a simulation example is developed in order to demonstrate the effectiveness of the proposed method.
A Bayesian approach to joint attack detection and resilient state estimation / Forti, Nicola; Battistelli, Giorgio; Chisci, Luigi; Sinopoli, Bruno. - STAMPA. - (2016), pp. 1192-1198. (Intervento presentato al convegno 55th IEEE Conference on Decision and Control, CDC 2016 tenutosi a Las Vegas, Nevada, USA nel December 12-14, 2016) [10.1109/CDC.2016.7798428].
A Bayesian approach to joint attack detection and resilient state estimation
FORTI, NICOLA;BATTISTELLI, GIORGIO;CHISCI, LUIGI;
2016
Abstract
The paper deals with resilient state estimation of cyber-physical systems subject to switching signal attacks and fake measurement injection. In particular, the random set paradigm is adopted in order to model the switching nature of the signal attack and the fake measurement injection via Bernoulli and/or Poisson random sets. The problem of jointly detecting a signal attack and estimating the system state in presence of fake measurements is then formulated and solved in the Bayesian framework leading to the analytical derivation of a hybrid Bernoulli filter that updates in real-time the joint posterior density of the detection attack Bernoulli set and of the state vector. Exploiting a Gaussian-mixture implementation of the filter, a simulation example is developed in order to demonstrate the effectiveness of the proposed method.File | Dimensione | Formato | |
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