Bayesian Network Models in Cyber Security: A Systematic Review

Chockalingam, Saba; Pieters, W; Teixeira, A.M.; Gelder, P. H.A.J.M.

doi:10.1007/978-3-319-70290-2_7

Bayesian Network Models in Cyber Security: A Systematic Review

Conference paper (2017)

Authors

Saba Chockalingam Safety and Security Science

W Pieters Safety and Security Science

A.M. Teixeira Information and Communication Technology

P. H.A.J.M. Gelder Safety and Security Science

Affiliation

Safety and Security Science

DOI: https://doi.org/10.1007/978-3-319-70290-2_7

Cyber security Bayesian Network Information security Insider threat Bayesian attack graph

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Published Date

2017

Language

English

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Affiliation

Safety and Security Science

Abstract

Bayesian Networks (BNs) are an increasingly popular modelling technique in cyber security especially due to their capability to overcome data limitations. This is also instantiated by the growth of BN models development in cyber security. However, a comprehensive comparison and analysis of these models is missing. In this paper, we conduct a systematic review of the scientific literature and identify 17 standard BN models in cyber security. We analyse these models based on 9 different criteria and identify important patterns in the use of these models. A key outcome is that standard BNs are noticeably used for problems especially associated with malicious insiders. This study points out the core range of problems that were tackled using standard BN models in cyber security, and illuminates key research gaps.

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