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Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks

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  • Wang, Wei
  • Di Maio, Francesco
  • Zio, Enrico

Abstract

In this work, we consider diagnostics of cyber attacks in Cyber-Physical Systems (CPSs), based on data analytics. For the first time to authors knowledge, the performance of such diagnosis is quantified considering the possible failure of the human operator cognitive process in interpreting and understanding the diagnosis support tool outcomes.

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  • Wang, Wei & Di Maio, Francesco & Zio, Enrico, 2020. "Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:reensy:v:202:y:2020:i:c:s0951832020305081
    DOI: 10.1016/j.ress.2020.107007
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    1. Hao, Zhaojun & Di Maio, Francesco & Zio, Enrico, 2023. "A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Wu, Shimeng & Jiang, Yuchen & Luo, Hao & Zhang, Jiusi & Yin, Shen & Kaynak, Okyay, 2022. "An integrated data-driven scheme for the defense of typical cyber–physical attacks," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    3. Liu, Jianqiao & Zou, Yanhua & Wang, Wei & Zio, Enrico & Yuan, Chengwei & Wang, Taorui & Jiang, Jianjun, 2022. "A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    4. Patriarca, Riccardo & Simone, Francesco & Di Gravio, Giulio, 2022. "Modelling cyber resilience in a water treatment and distribution system," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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