Detection of Biasing Attacks on Distributed Estimation Networks

Mohammad Deghat; Valery Ugrinovskii; Iman Shames; Cedric Langbort

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arXiv · 1609.05300

Detection of Biasing Attacks on Distributed Estimation Networks

Mohammad Deghat·Valery Ugrinovskii·Iman Shames·Cedric Langbort

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Abstract

The paper addresses the problem of detecting attacks on distributed estimator networks that aim to intentionally bias process estimates produced by the network. It provides a sufficient condition, in terms of the feasibility of certain linear matrix inequalities, which guarantees distributed input attack detection using an $H_\infty$ approach.

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Mohammad Deghat, Valery Ugrinovskii, Iman Shames, Cedric Langbort. 2016-09-17. Detection of Biasing Attacks on Distributed Estimation Networks. https://arxiv.org/abs/1609.05300

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