Fusion of Bayesian and ontology approach applied to decision support system for Critical Infrastructures protection

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. © 2010 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.