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

  • Rafał Kozik
  • Michał Choraś
  • Witold Hołubowicz
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 45)

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.

Keywords

Bayesian Network Decision Support System Inference Engine Critical Infrastructure Ontology Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Rafał Kozik
    • 2
  • Michał Choraś
    • 1
    • 2
  • Witold Hołubowicz
    • 1
    • 3
  1. 1.ITTI Ltd.PoznańPoland
  2. 2.Institute of TelecommunicationsUT&LS BydgoszczPoland
  3. 3.Adam Mickiewicz UniversityPoznańPoland

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