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Further exploration of the Dendritic Cell Algorithm: antigen multiplier and time windows

Gu, Feng; Greensmith, Julie; Aickelin, Uwe

Authors

Feng Gu fxg@cs.nott.ac.uk

Julie Greensmith jqg@cs.nott.ac.uk

Uwe Aickelin uwe.aickelin@nottingham.ac.uk



Contributors

Peter Bentley
Editor

Doheon Lee
Editor

Sungwon Jung
Editor

Abstract

As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performance in the field of anomaly detection. This paper presents the application of the DCA to a standard data set, the KDD 99 data set. The results of different implementation versions of the DCA, including antigen multiplier and moving time windows, are reported. The real-valued Negative Selection Algorithm (NSA) using constant-sized detectors and the C4.5 decision tree algorithm are used, to conduct a baseline comparison. The results suggest that the DCA is applicable to KDD 99 data set, and the antigen multiplier and moving time windows have the same effect on the DCA for this particular data set. The real-valued NSA with contant-sized detectors is not applicable to the data set. And the C4.5 decision tree algorithm provides a benchmark of the classification performance for this data set.

Publication Date Jan 1, 2008
Peer Reviewed Peer Reviewed
Issue 5132
Series Title Lecture notes in computer science
Book Title Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedings
ISBN 9783540850717
APA6 Citation Gu, F., Greensmith, J., & Aickelin, U. (2008). Further exploration of the Dendritic Cell Algorithm: antigen multiplier and time windows. In D. Lee, P. Bentley, & S. Jung (Eds.), Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedingsSpringer
Publisher URL http://biosoft.kaist.ac.kr/icaris2008/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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