An Artificial Immune Model for Network Intrusion Detection
Author
Jungwon Kim, Peter Bentley
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,
Address
Gower Street, London, WC1E 6BT, U.K.
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