Leong, Alex S. and Redder, Adrian and Quevedo, Daniel E. and Dey, Subhrakanti (2018) On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers. In: 2018 European Control Conference (ECC). IEEE, pp. 325-330. ISBN 9783952426982

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Abstract

The problem of remote state estimation in the presence of eavesdroppers has recently been investigated in the literature. For unstable systems it has been shown that one can keep the expected estimation error covariance bounded, while the expected eavesdropper error covariance becomes unbounded in the infinite horizon, using schemes based on transmission scheduling. In this paper we consider an alternative approach to achieve security, namely injecting noise into sensor transmissions, similar to the artificial noise technique used in physical layer security for wireless communications. Numerical results demonstrate significant performance improvements using this approach, with respect to the trade-off between the expected estimation error covariance and expected eavesdropper covariance.

Item Type:	Book Section
Keywords:	Artificial Noise; Secure State Estimation; Presence; Eavesdroppers;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Electronic Engineering
Item ID:	13429
Identification Number:	https://doi.org/10.23919/ECC.2018.8550317
Depositing User:	Subhrakanti Dey
Date Deposited:	08 Oct 2020 14:33
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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