A transitional view of immune inspired techniques for anomaly detection

10Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

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. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Costa Silva, G., Palhares, R. M., & Caminhas, W. M. (2012). A transitional view of immune inspired techniques for anomaly detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7435 LNCS, pp. 568–577). https://doi.org/10.1007/978-3-642-32639-4_69

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free