Detecting computer intrusions with Bayesian networks

Authors:
Wojciech Tylman
Affiliations:
Wroclaw University of Technology, Wroclaw, Poland
Venue:
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Year:
2009

Citing 6
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Abstract

This paper presents an application of Bayesian networks for network intrusion detection. The described system, named Basset, utilises this technique to enhance the process of misuse-based detection implemented in Snort system. The paper presents the structure of the proposed solution, the role of the Bayesian networks in the detection process and the application of the system to the detection of a real-world attack -- an exploitation of a vulnerability in a web browser.