On the reliability of a voting system under cyber attacks

Li, Yijia; Hu, Xiaoxiao; Zhao, Peng

doi:10.1016/j.ress.2021.107996

Cited by 6 publications

(1 citation statement)

References 33 publications

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“…In this context, literature 24 introduces a comprehensive CPPS resilience assessment method that evaluates the resilience and response capability of CPS systems in the face of various cyber-attacks, encompassing the entire attack process. Additionally, literature 25 explores the reliability of most voting systems when subjected to cyber threats, considering three multiple attack scenarios, including targeted, random, and dynamic attacks. In literature, 26 a traditional random sampling approach is applied for cyber-attack detection, integrating it into univariate control charts.…”

Section: Introductionmentioning

confidence: 99%

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

Huang,

Yang,

Zheng

et al. 2024

Quality & Reliability Eng

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Cyber‐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.

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Section: Introductionmentioning

confidence: 99%