Paper Info
Title
A Moving Target Approach for Identifying Malicious Sensors in Control Systems.
Abstract
In this paper, we consider the problem of attack identification in cyber-physical systems (CPS). Attack identification is often critical for the recovery and performance of a CPS that is targeted by malicious entities, allowing defenders to construct algorithms which bypass harmful nodes. Previous work has characterized limitations in the perfect identification of adversarial attacks on deterministic LTI systems. For instance, a system must remain observable after removing any 2q sensors to only identify q attacks. However, the ability for an attacker to create an unidentifiable attack requires knowledge of the system model. In this paper, we aim to limit the adversary's knowledge of the system model with the goal of accurately identifying all sensor attacks. Such a scheme will allow systems to withstand larger attacks or system operators to allocate fewer sensing devices to a control system while maintaining security. We explore how changing the dynamics of the system as a function of time allows us to actively identify malicious/faulty sensors in a control system. We discuss the design of time varying system matrices to meet this goal and evaluate performance in deterministic and stochastic systems.
Year
DOI
Venue
2016
10.1109/ALLERTON.2016.7852365
2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON)
DocType
Volume
ISSN
Conference
abs/1609.09043
2474-0195
Citations 
PageRank 
References 
2
0.34
13
Authors
2
Name
Order
Citations
PageRank
Sean Weerakkody11317.80
Bruno Sinopoli22837188.08