Event-Based Security Control for Stochastic Networked Systems Subject to Attacks

This paper is concerned with the event-based security control problems for a set of discrete-time stochastic systems suffered from randomly occurred attacks, especially the denial-of-service attacks and the deception attacks. An attack model with compensation is established to describe combinations...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on systems, man, and cybernetics. Systems Vol. 50; no. 11; pp. 4643 - 4654
Main Authors Yan, Huaicheng, Wang, Jiangning, Zhang, Hao, Shen, Hao, Zhan, Xisheng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Actuators
Control stability
Control systems design
Cost function
Deception attacks
Denial of service attacks
denial-of-service (DoS) attacks
Denial-of-service attack
Discrete time systems
event-triggered mechanism
Feedback control
Linear matrix inequalities
networked control systems (NCSs)
Output feedback
Probability theory
Security
security control
Stability analysis
Stochastic processes
Stochastic systems
Upper bounds
Online AccessGet full text

Cover

More Information
Summary:This paper is concerned with the event-based security control problems for a set of discrete-time stochastic systems suffered from randomly occurred attacks, especially the denial-of-service attacks and the deception attacks. An attack model with compensation is established to describe combinations of attacks to the networked control systems. An event-triggered mechanism is employed to debase the communication load by transmitting measurement signals when a definite triggering condition is satisfied. A definition of security probability is proposed to describe the transient state of controller systems. The aim of this paper is to design a dynamic output feedback controller, thereupon the closed-loop system achieves the described security in probability. Some novel sufficient conditions are proposed to guarantee the input-to-state stability of the system in probability, and the controller gains are designed by solving a set of matrix inequalities. The upper bound of the quadratic cost function is also derived. Finally, simulation examples are applied to illustrate the effectiveness of the proposed design scheme.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2018.2856819