By Topic

Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chien-Chuan Lin ; Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan ; 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