Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

Chien Chuan Lin; Ming Shi Wang

doi:10.1109/ISI.2008.4565070

Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

Chien Chuan Lin, Ming Shi Wang

Department of Engineering Science

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	248-250
Number of pages	3
DOIs	https://doi.org/10.1109/ISI.2008.4565070
Publication status	Published - 2008
Event	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 - Taipei, Taiwan Duration: 2008 Jun 17 → 2008 Jun 20

Other

Other	IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008
Country/Territory	Taiwan
City	Taipei
Period	08-06-17 → 08-06-20

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems

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10.1109/ISI.2008.4565070

Cite this

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title = "Depth evaluation intrusion detection using Coloured Stochastic Petri Nets",

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.",

author = "Lin, {Chien Chuan} and Wang, {Ming Shi}",

year = "2008",

doi = "10.1109/ISI.2008.4565070",

language = "English",

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note = "IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008 ; Conference date: 17-06-2008 Through 20-06-2008",

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AU - Lin, Chien Chuan

AU - Wang, Ming Shi

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AB - 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.

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DO - 10.1109/ISI.2008.4565070

M3 - Paper

AN - SCOPUS:51849156411

SP - 248

EP - 250

T2 - IEEE International Conference on Intelligence and Security Informatics, 2008, IEEE ISI 2008

Y2 - 17 June 2008 through 20 June 2008

ER -

Depth evaluation intrusion detection using Coloured Stochastic Petri Nets

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