Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

Chien Chuan Lin, Ming-Shi Wang

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages248-250
Number of pages3
DOIs
Publication statusPublished - 2008 Sep 22
EventIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan
Duration: 2008 Jun 172008 Jun 20

Other

OtherIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
CountryTaiwan
CityTaipei
Period08-06-1708-06-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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