Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

Chien Chuan Lin, Ming Shi Wang

研究成果: Paper同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面248-250
頁數3
DOIs
出版狀態Published - 2008
事件IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan
持續時間: 2008 6月 172008 6月 20

Other

OtherIEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
國家/地區Taiwan
城市Taipei
期間08-06-1708-06-20

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 資訊系統

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