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Abstract: One significant feature of artificial immune systems is their ability to adapt to continuously changing environments, dynamically learning the fluid patterns of `self' and predicting new patterns of `non-self'. This paper introduces and investigates the behaviour of dynamiCS, a dynamic clonal selection algorithm, designed to have such properties of self-adaptation. The effects of three important system parameters: tolerisation period, activation threshold, and life span are explored.... (Update)
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BibTeX entry: (Update)
Kim J, Bentley P, Towards an Artificial Immune System for Network Intrusion Detection: An Investigation of Dynamic Clonal Selection. Proceedings of the 2002. http://citeseer.ist.psu.edu/kim02towards.html More
@inproceedings{ kim01towards,
author = "Jungwon Kim and Peter J. Bentley",
title = "Towards an Artificial Immune System for Network Intrusion Detection: An Investigation of Clonal Selection with a Negative Selection Operator",
booktitle = "Proceedings of the 2001 Congress on Evolutionary Computation CEC2001",
month = "27-30",
publisher = "IEEE Press",
address = "COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea",
isbn = "0-7803-6658-1",
pages = "1244--1252",
year = "2001",
url = "citeseer.ist.psu.edu/kim02towards.html" }
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