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The Artificial Immune System for Network Intrusion Detection: An Investigation of Clonal Selection with a Negative Selection Operator (2001)  (Make Corrections)  (4 citations)
Jungwon Kim, Peter J. Bentley
Graduate Student Workshop



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Abstract: This paper explores the use of an artificial immune system (AIS) for network intrusion detection. As one significant component for a complete AIS, static clonal selection with a negative selection operator is developed and the system is described in detail. Two important factors, the detector sample size and the antigen sample size, are investigated in order to generate an appropriate mixture of general and specific detectors for learning non-self antigen patterns. By investigating the results... (Update)

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BibTeX entry:   (Update)

J. Kim and P.J. Bentley. The Artificial Immune System for Network Intrusion Detection: An Investigation of Clonal Selection with Negative Selection Operator. The Congres on Evolutionary Computation (CEC2001) , Seoul, Korea, pp. 1244-1252, May 27-30. http://citeseer.ist.psu.edu/article/kim01artificial.html   More

@inproceedings{ kim99artificial,
    author = "Jungwon Kim",
    title = "An artificial immune system for network intrusion detection",
    booktitle = "Graduate Student Workshop",
    month = "13",
    address = "Orlando, Florida, USA",
    editor = "Una-May O'Reilly",
    pages = "369--370",
    year = "1999",
    url = "citeseer.ist.psu.edu/article/kim01artificial.html" }
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An Evaluation of Negative Selection in an Artificial Immune.. - Kim, Bentley (2001)   (Correct)
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Towards an Artificial Immune System for Network Intrusion.. - Kim, Bentley (2002)   (Correct)

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