Industry Revolution 4.0 pushes the industry to digitize all its operations. Cyberphysical Systems (CPSs), such as autonomous automobile systems and medical monitoring are examples of this revolution. However, as these systems are interconnected via the Internet, they become more vulnerable to cyber-attacks and in particular, stealthy attacks. Cyber attacks could affect the operations of CPS and cause physical damages before any indication. So, there is a need to design a secure control system to withstand in these circumstances. In this article, an event-triggering control scheme is designed for discrete time CPSs contain random delays in measurements and actuation signals and subject to simultaneous hybrid distributed denial of service (DDoS) and deception attacks. The cyber attacks are designed as Bernoulli distributed white sequences with conditional probabilities that are variable. Moreover, An event-triggering control scheme is proposed for decreasing the communication overhead in the system, such that the measurements’ signals are sent when a selected triggering condition is met. An observer based control is designed to maintain the stability of the CPS under all possible scenarios of single or hybrid simultaneous attacks in the forward and or backward communication. Linear matrix inequalities are used to represent the overall control scheme. At the end, two illustrative examples are presented and discussed to show the effectiveness of the presented scheme.
Bibliographical noteFunding Information:
The authors acknowledge the support provided by the DSR at KFUPM through the distinguished professorship award project no. DUP19106 and the support through the National Plan for Science, Technology and Innovation (MAARIFAH) - KACST through the Science & Technology Unit at KFUPM, award project no. 15-ELE4117-04 .
© 2021 ISA
- Cyberphysical Systems (CPSs)
- Deception attack
- Distributed DoS attack
- Simultaneous hybrid attacks
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics