TY - JOUR
T1 - Active Defense-Based Resilient Sliding Mode Control Under Denial-of-Service Attacks
AU - Wu, Chengwei
AU - Wu, Ligang
AU - Liu, Jianxing
AU - Jiang, Zhong Ping
N1 - Funding Information:
Manuscript received December 11, 2018; revised March 5, 2019; accepted May 9, 2019. Date of publication May 16, 2019; date of current version September 11, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61525303, Grant 41772377, and Grant 61673130, in part by the National Science Foundation under Grant ECCS-1501044, and in part by the Self-Planned Task of State Key Laboratory of Robotics and System, HIT, under Grant SKLRS201806B. The work of L. Wu was supported by the Top-Notch Young Talents Program of China. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Eduard A. Jorswieck. (Corresponding author: Ligang Wu.) C. Wu, L. Wu, and J. Liu are with the Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China (e-mail: [email protected]).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - This paper investigates the problem of the resilient control for cyber-physical systems (CPSs) in the presence of malicious sensor denial-of-service (DoS) attacks, which result in the loss of state information. The concepts of DoS frequency and DoS duration are introduced to describe the DoS attacks. According to the attack situation, that is, whether the attack is successfully implemented or not, the original physical system is rewritten as a switched version. A resilient sliding mode control scheme is designed to guarantee that the physical process is exponentially stable, which is a foundation of the main results. Then, a zero-sum game is employed to establish an effective mixed defense mechanism. Furthermore, a defense-based resilient sliding mode control scheme is proposed and the desired control performance is achieved. Compared with the existing results, the differences mainly lie in two aspects, that is, one where a switched model is obtained, based on which the average dwell-time like approach is utilized to derive the resilient control scheme, and the other where the zero-sum game in employed to make the attacks satisfy the concepts of DoS frequency and DoS duration. Finally, simulation results are given to demonstrate the effectiveness of the proposed resilient control approach.
AB - This paper investigates the problem of the resilient control for cyber-physical systems (CPSs) in the presence of malicious sensor denial-of-service (DoS) attacks, which result in the loss of state information. The concepts of DoS frequency and DoS duration are introduced to describe the DoS attacks. According to the attack situation, that is, whether the attack is successfully implemented or not, the original physical system is rewritten as a switched version. A resilient sliding mode control scheme is designed to guarantee that the physical process is exponentially stable, which is a foundation of the main results. Then, a zero-sum game is employed to establish an effective mixed defense mechanism. Furthermore, a defense-based resilient sliding mode control scheme is proposed and the desired control performance is achieved. Compared with the existing results, the differences mainly lie in two aspects, that is, one where a switched model is obtained, based on which the average dwell-time like approach is utilized to derive the resilient control scheme, and the other where the zero-sum game in employed to make the attacks satisfy the concepts of DoS frequency and DoS duration. Finally, simulation results are given to demonstrate the effectiveness of the proposed resilient control approach.
KW - Defense mechanism
KW - DoS attack
KW - game theory
KW - resilient sliding mode control
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U2 - 10.1109/TIFS.2019.2917373
DO - 10.1109/TIFS.2019.2917373
M3 - Article
AN - SCOPUS:85072226489
SN - 1556-6013
VL - 15
SP - 237
EP - 249
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
IS - 1
M1 - 8716684
ER -