This paper investigates the properties of consensus-based distributed state estimation (DSE) in the presence of denial of service (DoS) attacks. The considered model characterizes the DoS attack in terms of its average frequency and duration. It is shown that a family of DSE algorithms, namely Hybrid Consensus on Measurements - Consensus on Information, preserves its stability properties under DoS provided that a sufficiently high transmission rate is ensured depending on the bounds on DoS frequency and duration. The theoretical findings are confirmed by numerical simulations in a target tracking case study.
Distributed state estimation under denial of service / Battistelli G.; Chisci L.; Selvi D.; Tesi P.. - STAMPA. - 2019-:(2019), pp. 7818-7823. (Intervento presentato al convegno 58th IEEE Conference on Decision and Control, CDC 2019 tenutosi a Acropolis Convention Centre, fra nel 2019) [10.1109/CDC40024.2019.9028885].
Distributed state estimation under denial of service
Battistelli G.;Chisci L.;Tesi P.
2019
Abstract
This paper investigates the properties of consensus-based distributed state estimation (DSE) in the presence of denial of service (DoS) attacks. The considered model characterizes the DoS attack in terms of its average frequency and duration. It is shown that a family of DSE algorithms, namely Hybrid Consensus on Measurements - Consensus on Information, preserves its stability properties under DoS provided that a sufficiently high transmission rate is ensured depending on the bounds on DoS frequency and duration. The theoretical findings are confirmed by numerical simulations in a target tracking case study.
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