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

Wei Wang; Francesco Di Maio; Enrico Zio

doi:10.1016/j.ress.2020.107007

Author(s)

Wei Wang
Francesco Di Maio
Enrico Zio

Related Research Unit(s)

Department of Mechanical Engineering

Detail(s)

Original language	English
Article number	107007
Journal / Publication	Reliability Engineering and System Safety
Volume	202
Online published	17 May 2020
Publication status	Published - Oct 2020

Link(s)

DOI	DOI https://doi.org/10.1016/j.ress.2020.107007 Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85086430739&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(396a3d46-9544-43ff-ab93-004f347a6d00).html

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.
A Non-Parametric CUmulative SUM (NP-CUSUM) approach is used for data-driven diagnostic, and the cognitive process of the human operator who interprets its outputs is modeled by a Bayesian Belief Network (BBN). The overall framework is applied on the digital controller of the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).