A novel probabilistic modeling for multilateral random attacks in cyber‐physical system reliability analysis

Author:

Huang Jiayue12ORCID,Yang Jianfeng234ORCID,Zheng Zhoutao12ORCID,Qiu Zhengxia12

Affiliation:

1. School of Mathematics and Statistics Guizhou University Guiyang China

2. Guizhou University and Guian Kechuang Supercomputing Power Algorithm Laboratory Guiyang China

3. School of Mathematics and Statistics Nanning Normal University Nanning China

4. Center for Applied Mathematics of Guangxi Nanning Normal University Nanning China

Abstract

AbstractCyber‐Physical Systems (CPS) are at the forefront of the intersection between information technology and physical operations, revolutionizing industries such as communication, automation, control, and intelligent transportation. However, evaluating the reliability of CPS, especially in the presence of multilateral random attacks, poses a complex challenge. This paper introduces an inventive probabilistic modeling approach to enhance the analysis of CPS reliability under the influence of multilateral random attacks. We provide an overview of fundamental CPS concepts and their significant role in modern society, followed by a comprehensive exploration of multilateral random attacks. Our novel probabilistic modeling approach is presented as a means to improve the accuracy and robustness of CPS reliability assessments when faced with multilateral random attacks. Numerical experiments and simulations validate the effectiveness of our innovative approach, emphasizing its potential to fortify the reliability of Cyber‐Physical Systems.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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