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A Methodology to Prioritize Security Vulnerabilities in Ports

Girish Gujar, Adolf K. Y. Ng and Zaili Yang
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Girish Gujar: Beijing Normal University-Hong Kong Baptist University United International College
Adolf K. Y. Ng: Asper School of Business St. John’s College University of Manitoba
Zaili Yang: Liverpool John Moores University

Chapter 4 in Contemporary Container Security, 2018, pp 63-79 from Palgrave Macmillan

Abstract: Abstract This chapter develops a conceptual methodology to realize the quantitative analysis of vulnerabilities under different threat modes in ports. It can be a stand-alone technique for prioritizing critical systems (e.g., port facilities) with high value and significant functions, or as part of an integrated decision-making method to evaluate the effectiveness of container security control options. It explains the need to prioritize security vulnerabilities in ports. After that, a fuzzy rule-based Bayesian reasoning (FuRBaR) approach (cf. Yang et al., IEEE Transactions on Reliability, 57, 517–528, 2008) is applied as the core technique to develop a new generic security management model, in which analytic hierarchy process (AHP) is newly used to aid subjective data elicitation. The model is calibrated by an illustrative example in port security, and its future development is also discussed.

Keywords: Model; Fuzzy rule-based Bayesian reasoning; Vulnerability; Port (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:pal:psmchp:978-3-319-98134-5_4

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DOI: 10.1007/978-3-319-98134-5_4

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