On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks

Abstract

This paper studies a resilient control problem for discrete-time, linear time-invariant systems subject to state and input constraints. State measurements and control commands are transmitted over a communication network and could be corrupted by adversaries. In particular, we consider the replay attackers who maliciously repeat the messages sent from the operator to the actuator. We propose a variation of the receding-horizon control law to deal with the replay attacks and analyze the resulting system performance degradation. A class of competitive (resp. cooperative) resource allocation problems for resilient networked control systems is also investigated.

Secure estimation for cyber‐physical systems with adversarial attacks and unknown inputs: An L2‐gain method

“…Deception attacks are intended to tamper transmitted data packages causing false feedback information. Deception attacks include sparse attacks, replay attacks, zero‐dynamic attacks, etc. One of the basic problems arising in CPSs is how to design a decoder/estimator that recovers the system state in the presence of cyber attacks.…”

Cooperative attack strategy design via H−/H∞ scheme for linear cyber‐physical systems

“…Design the attack strategy (12) for the system (1). The systems (14) and (15) satisfy the performances (A.1), (16) and (A.2), (17), if there exist block diagonal matrixP t , matricesP t ,Q 1 ,Q 2 , … ,Q N−1 ,Q 1 ,Q 2 , … ,Q N−1 , t = 1, 2, … , N, X > 0,X > 0 and 1 > 0, 2 > 0 such that the inequalities (48) to (57)…”

“…The existing research on how to defend against attacks mainly focuses on security estimation and control, attack detection, and recognition of anticipated attack patterns. For instance, denial‐of‐service (DoS) attack, false data injection attack, and replay attack . In addition, the resilient filtering problem under DoS attack was investigated by Chen et al for the power system.…”

“…For instance, denial-of-service (DoS) attack, [5][6][7][8] false data injection attack, [9][10][11][12] and replay attack. 13,14 In addition, the resilient filtering problem under DoS attack was investigated by Chen et al 15 for the power system. A review of distributed security control for industrial CPSs has also been given by Ding et al 16 From the point of view of the attacker, it is also of great value to study the attack strategy of the attacker and the influence of the attack on the systems.…”

Distributed Resilient Formation Control

“…Security economics aims to incentivize heterogeneous stock holders to contribute to the security of CPS. Some papers along this line include [16] and [35] This chapter employs a distributed receding horizon control methodology for the resilient control of a class of multi-agent systems. Previously, distributed receding horizon control has been applied to solve the problem of stabilizing an a priori known common set point for decoupled subsystems [36,37], coupled subsystems [38], and the problem of reaching consensus in [2,39].…”