Malicious software spread modeling and control in cyber–physical systems

被引：1

作者：

Yang, Bo ^{[1
]}

Yu, Zhenhua ^{[2
]}

Cai, Yuanli ^{[1
]}

机构：

[1] School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an,710049, China

[2] Institute of Systems Security and Control, College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an,710054, China

来源：

Knowledge-Based Systems | 2022年 / 248卷

基金：

中国国家自然科学基金;

关键词：

Computing units - Control methods - Cybe-physical systems - Cyber-physical systems - Hybrid controls - Information networks - Interactive intelligent systems - Modelling and controls - Physical objects - Software attacks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Cyber–physical systems are interactive intelligent systems integrating computing units and physical objects through information networks. They have been widely used in critical infrastructures, and are increasingly vulnerable to malicious software attacks. To explore the spread mechanism of malicious software in cyber–physical systems from a macroscopic perspective, this work proposes a new malicious software spread model with time delay, and analyzes its complex dynamic behavior by using the stability theory and bifurcation theorem. A hybrid bifurcation control method is presented to control adverse bifurcations that cause harmful behavior of cyber–physical systems, and the influence of control parameters on the Hopf bifurcation threshold is revealed. Cyber–physical systems with the proposed method can be stabilized, which behave as expected during malicious software spread. The simulations show that the proposed control method can advance or postpone the threshold of Hopf bifurcation, thus making cyber–physical systems achieve a stable state. Consequently, damage and disruption to cyber–physical systems caused by malicious software are effectively reduced. © 2022 Elsevier B.V.

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