The joint task of detecting attacks and securely monitoring the state of a cyber-physical system is addressed over a cluster-based network wherein multiple fusion nodes collect data from sensors and cooperate in a neighborwise fashion in order to accomplish the task. The attack detection-state estimation problem is formulated in the context of random set theory by representing joint information on the attack presence/absence, on the system state and on the attack signal in terms of a Hybrid Bernoulli Random Set (HBRS) density. Then, combining previous results on HBRS recursive Bayesian filtering with novel results on Kullback-Leibler averaging of HBRSs, a novel distributed HBRS filter is developed and its effectiveness is tested on a case-study concerning wide-area monitoring of a power network.

Distributed joint attack detection and secure state estimation / Forti, Nicola; Battistelli, Giorgio; Chisci, Luigi; Suqi, Li; Wang, Bailu; Sinopoli, Bruno. - In: IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS. - ISSN 2373-776X. - STAMPA. - 4:(2018), pp. 96-110. [10.1109/TSIPN.2017.2760804]

Distributed joint attack detection and secure state estimation

Forti, Nicola;Battistelli, Giorgio;Chisci, Luigi;Sinopoli, Bruno
2018

Abstract

The joint task of detecting attacks and securely monitoring the state of a cyber-physical system is addressed over a cluster-based network wherein multiple fusion nodes collect data from sensors and cooperate in a neighborwise fashion in order to accomplish the task. The attack detection-state estimation problem is formulated in the context of random set theory by representing joint information on the attack presence/absence, on the system state and on the attack signal in terms of a Hybrid Bernoulli Random Set (HBRS) density. Then, combining previous results on HBRS recursive Bayesian filtering with novel results on Kullback-Leibler averaging of HBRSs, a novel distributed HBRS filter is developed and its effectiveness is tested on a case-study concerning wide-area monitoring of a power network.
2018
4
96
110
Forti, Nicola; Battistelli, Giorgio; Chisci, Luigi; Suqi, Li; Wang, Bailu; Sinopoli, Bruno
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1103986
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