Innate and adaptive principles for an artificial immune system

Authors:
M. Middlemiss;P. A. Whigham
Affiliations:
Information Science Department, University of Otago, Dunedin, N.Z.;Information Science Department, University of Otago, Dunedin, N.Z.
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

Citing 3
Cited 0

Self-Nonself Discrimination in a Computer

SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Towards an artificial immune system for network intrusion detection: an investigation of dynamic clonal selection

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Application areas of AIS: the past, the present and the future

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper summarises the current literature on immune system function and behaviour, including pattern recognition receptors, danger theory, central and peripheral tolerance, and memory cells. An artificial immune system framework is then presented based on the analogies of these natural system components and a rule and feature-based problem representation. A data set for intrusion detection is used to highlight the principles of the framework.