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.
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Costa Silva, G., Palhares, R.M., Caminhas, W.M. (2012). A Transitional View of Immune Inspired Techniques for Anomaly Detection. In: Yin, H., Costa, J.A.F., Barreto, G. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2012. IDEAL 2012. Lecture Notes in Computer Science, vol 7435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32639-4_69
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DOI: https://doi.org/10.1007/978-3-642-32639-4_69
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