Leong, Alex S. and Quevedo, Daniel E. and Dolz, Daniel and Dey, Subhrakanti (2019) Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper. IEEE Transactions on Automatic Control, 64 (9). pp. 3732-3739. ISSN 0018-9286

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Abstract

This paper studies transmission scheduling for remote state estimation in the presence of an eavesdropper. A sensor transmits local state estimates over a packet dropping link to a remote estimator, while an eavesdropper can successfully overhear each sensor transmission with a certain probability. The objective is to determine when the sensor should transmit, in order to minimize the estimation error covariance at the remote estimator, while trying to keep the eavesdropper error covariance above a certain level. This is done by solving an optimization problem that minimizes a linear combination of the expected estimation error covariance and the negative of the expected eavesdropper error covariance. Structural results on the optimal transmission policy are derived, and shown to exhibit thresholding behavior in the estimation error covariances. In the infinite horizon situation, it is shown that with unstable systems one can keep the expected estimation error covariance bounded while the expected eavesdropper error covariance becomes unbounded, for all eavesdropping probabilities strictly less than one.

Item Type:	Article
Keywords:	Estimation error; Cryptography; State estimation; Eavesdropping; Kalman filters;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	16353
Identification Number:	https://doi.org/10.1109/TAC.2018.2883246
Depositing User:	Subhrakanti Dey
Date Deposited:	27 Jul 2022 07:38
Journal or Publication Title:	IEEE Transactions on Automatic Control
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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