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Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

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2 Author(s)
Chien-Chuan Lin ; Department of Engineering Science, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 70101, Taiwan ; Ming-Shi Wang

This paper investigates and simulates a coloured stochastic Petri nets model for depth evaluation intrusion detection. Network attack behaviors are very complexity sometimes, it is difficult to capture all of them. In this paper, we could realize what them happened with analyzing and simulating an intrusion. The experimental results demonstrated that the CSPN model approach was an efficient and helpful to evaluate an intrusion detection system.

Published in:

Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on

Date of Conference:

17-20 June 2008