Title

A Linear Matrix Inequality based Attack Detection Approach for Networked Control Systems

Abstract

In networked control systems, the communication links and physical system components are coupled and hence vulnerable to a variety of attacks. Certain class of attacks on the communication network has a tendency to change the traffic flow causing delays and packet losses to increase, thus affecting the stability of the physical system. Therefore in this paper, a novel observer based flow control and detection scheme is proposed to capture the abnormality in traffic flow through the bottleneck node of the communication network by generating the attack detection residual. A linear matrix inequality (LMI) based controller design is proposed that ensures system stability by detecting attacks on the network as well as on the physical system. Since the dynamics of the physical system depend upon the network induced delay and packet losses, it is stabilized by adjusting the controller gains based on network state provided certain conditions are met. Simulation results are included to demonstrate the applicability of the proposed schemes against a class of attacks represented by attack models.

Meeting Name

2018 IEEE Conference on Decision and Control, CDC 2018 (2018: Dec. 17-19, Miami Beach, FL)

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Controllers; Linear matrix inequalities; Packet loss; System stability; Attack detection; Controller designs; Controller gain; Detecting attacks; Detection scheme; Network-induced delays; Observer-based; Physical systems; Networked control systems

International Standard Book Number (ISBN)

978-1-5386-1395-5

International Standard Serial Number (ISSN)

2576-2370; 0743-1546

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2018

Share

 
COinS