An Artificial Immune Model for Network Intrusion Detection

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Author

Jungwon Kim, Peter Bentley

Entry type

techreport

Abstract

This paper investigates the subject of intrusion detection over networks. Existing network-based IDS's are categorized into three groups and the overall architecture of each group is summarised and assessed. A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model. The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS\'s. The paper concludes that this new approach shows considerable promise for future network-based IDS\'s. The paper concludes that this new approach shows considerable promise for future network-based IDS\'s,

URL

http://66.102.1.104/scholar?hl ... twork+Intrusion+Detection

Address

Gower Street, London, WC1E 6BT, U.K.

Key alpha

Kim

Publisher

University Collge London

Acknowledgement

This work has been partially supported by the Korea International Collaboration Research Funds (I-03-002), the Ministry of Science and Technology, Korea. J. Kim would like to acknowledge K. Carlberg at SAIC for his useful comments

Affiliation

University Collge London

Publication Date

2001-01-01

Keywords

artificial immune system, network intrusion detection, evolutionary algorithm, computer security

Language

English

BibTex-formatted data

To refer to this entry, you may select and copy the text below and paste it into your BibTex document. Note that the text may not contain all macros that BibTex supports.

@Techreport{ Kim,
	title = "An Artificial Immune Model for Network Intrusion Detection",
	author = "Jungwon Kim, Peter Bentley",
	address = "Gower Street, London, WC1E 6BT, U.K.",
	publisher = "University Collge London",
	abstract = "This paper investigates the subject of intrusion detection over networks.  Existing network-based IDS's are categorized into three groups and the overall architecture of each group is summarised and assessed.  A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model.  The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS\'s.  The paper concludes that this new approach shows considerable promise for future network-based IDS\'s.  The paper concludes that this new approach shows considerable promise for future network-based IDS\'s,",
	acknowledgement = "This work has been partially supported by the Korea International Collaboration Research Funds (I-03-002), the Ministry of Science and Technology, Korea.  J. Kim would like to acknowledge K. Carlberg at SAIC for his useful comments",
	affiliation = "University Collge London",
	keywords = "artificial immune system, network intrusion detection, evolutionary algorithm, computer security",
	language = "English",
	url = "http://66.102.1.104/scholar?hl=en&lr=&q=cache:7MrON_siq18J:citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.15.9405&rep=rep1&type=pdf+An+Artificial+Immune+Model+for+Network+Intrusion+Detection",
}