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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.

Keywords

Bayesian networks network intrusion detection Snort Metasploit Framework 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Wojciech Tylman
    • 1
  1. 1.Wroclaw University of TechnologyWroclawPoland

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