Distributed intrusion detection system based on ARTIS

Peili Qiao; Jie Su; Chengwei Sun

doi:10.1117/12.601862

28 March 2005 Distributed intrusion detection system based on ARTIS

Peili Qiao, Jie Su, Chengwei Sun

Proceedings Volume 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005; (2005) https://doi.org/10.1117/12.601862
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Traditional IDS (Intrusion Detection System) performs detection by matching the sample pattern with the intrusion pattern that has been defined, as a result the IDS loses the diversity and the self-adaptation and can not detect the variation intrusion and the unknown intrusion. This paper gives a distributed intrusion detection approach based on the Artificial Immune System. It defines the Self, Nonself and immune cell and builds an intrusion detection model composed of memory cell, mature cell and immature cell and also gives the environment definition, matching rule, training detection system, immune regulation and memory, monitor generation and so on. The result of the experiment show that this intrusion detection system model has the characters of distributed, error tolerance, dynamic learning, adaptation and this approach is efficient to the network intrusion detection.

Citation Download Citation

Peili Qiao, Jie Su, and Chengwei Sun "Distributed intrusion detection system based on ARTIS", Proc. SPIE 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, (28 March 2005); https://doi.org/10.1117/12.601862

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