Vulnerability assessment of physical protection systems: A bio-inspired approach

Yong Deng, Sankaran Mahadevan, Deyun Zhou

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

How to evaluate the effectiveness of a physical protection system (PPS) is still an open issue. The commonly used method is to calculate the delay time of a PPS. In this paper, a shortcoming of this method is pointed out that it cannot efficiently evaluate efficiency of a PPS when different paths have the same delay time. To address this issue, a bioinspired approach to assess the vulnerability assessment is proposed in this paper. The risk level of the certain area can be obtained through evidence theory to integrate information from multi-sources. Then, a path with the minimum sum of risk can be determined by a bio-inspired algorithm. The sum of the risk level can be seen as a new evaluation index of effectiveness of PPSs. Experimental results of a numerical example demonstrate that the proposed method can handle the vulnerability assessment problem of PPSs efficiently.

Original languageEnglish
Pages (from-to)227-243
Number of pages17
JournalInternational Journal of Unconventional Computing
Volume11
Issue number3-4
StatePublished - 2015

Keywords

  • Decision making
  • Dempster shafer evidence theory
  • Information fusion
  • Physarum solver
  • Physical protection system
  • Risk analysis
  • Vulnerability assessment

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