A transitional view of immune inspired techniques for anomaly detection

Authors:
Guilherme Costa Silva;Reinaldo M. Palhares;Walmir M. Caminhas
Affiliations:
Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
Venue:
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Year:
2012

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Abstract

The use of Immune Inspired approaches for anomaly detection have been adopted in the literature because of its analogy with body resistance in the human immune system provided against agents which causes diseases. There are many models in biology that attempt to explain the immune system behavior, as well some engineering systems inspired on these models. Our goal is to document the development of these models in a transitional view, some aspects which may be considered on these algorithms and on their applicability in engineering problems, with some examples.