Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection

Rafał Kozik; Michał Choraś; Witold Hołubowicz

Mobile Lightweight Wireless Systems. Second International ICST Conference, MOBILIGHT 2010, Barcelona, Spain, May 10-12, 2010, Revised Selected Papers

Research Article

Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection

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@INPROCEEDINGS{10.1007/978-3-642-16644-0_39,
    author={Rafał Kozik and Michał Choraś and Witold Hołubowicz},
    title={Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection},
    proceedings={Mobile Lightweight Wireless Systems. Second International ICST Conference, MOBILIGHT 2010, Barcelona, Spain, May 10-12, 2010, Revised Selected Papers},
    proceedings_a={MOBILIGHT},
    year={2012},
    month={10},
    keywords={},
    doi={10.1007/978-3-642-16644-0_39}
}

Rafał Kozik
Michał Choraś
Witold Hołubowicz
Year: 2012
Fusion of Bayesian and Ontology Approach Applied to Decision Support System for Critical Infrastructures Protection
MOBILIGHT
Springer
DOI: 10.1007/978-3-642-16644-0_39

Rafał Kozik¹^,*, Michał Choraś^,*, Witold Hołubowicz^,*

1: UT&LS Bydgoszcz

*Contact email: chorasm@utp.edu.pl, michal.choras@itti.com.pl, holubowicz@amu.edu.pl

Abstract

In this paper, a decision support system based on the ontology knowledge for Critical Infrastructure security assessment is presented. The ontology provides vulnerabilities, threats and safeguards classification and their relationships with other security aspects. Such knowledge is used to build Bayesian network, which is used to asses the severity level of the detected threats. Described approach is applied in decision support tool developed within the INSPIRE project aiming at increasing security and protection through infrastructure resilience. The major contribution of this paper is the fusion of the ontology and Bayesian approach utilized in the reasoning engine of the decision support application.

Published: 2012-10-17

: http://dx.doi.org/10.1007/978-3-642-16644-0_39