Paper Info
Title
Detection and Mitigation of Attacks in Nonlinear Stochastic System Using Modified χ<sup>2</sup> Detector
Abstract
A novel attack detection method is presented for a nonlinear system with known dynamics using the measured output in the presence of additive process and measurement noise. False data injection (FDI) and replay attacks are considered using a modified χ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> fault detector. The difference between the measured and the estimated output from an adaptive observer, often known as the innovation signal, is generated and shown to have a Gaussian distribution with non-zero mean. This innovation signal in conjunction with the modified χ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> detector is utilized to detect attacks under a stable controller using the estimated state vector. Unlike FDI attack, where the output estimation signal changes its distribution, replay attack cannot be detected using this detector. Therefore, a modified watermarking approach using injected authentication noise to the estimator is introduced to detect such sophisticated attacks, and this approach is shown not to cause a deterioration in the system performance. Upon detecting the attacks, the observer dynamics are modified using a neural network to estimate the effective attack signal on the system dynamics, and in turn, to mitigate for it to keep the system performance undisturbed.
Year
DOI
Venue
2019
10.1109/CDC40024.2019.9029553
2019 IEEE 58th Conference on Decision and Control (CDC)
Keywords
DocType
ISSN
estimated state vector,FDI attack,modified watermarking approach,sophisticated attacks,nonlinear stochastic system,novel attack detection method,measurement noise,fault detector,innovation signal,Gaussian distribution,non-zero mean,false data injection,neural network
Conference
0743-1546
ISBN
Citations 
PageRank 
978-1-7281-1399-9
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Chandreyee Bhowmick100.68
Sarangapani Jagannathan2113694.89