Abstract
The T cell is able to perform fine-grained anomaly detection via its T Cell Receptor and intracellular signalling networks. We abstract from models of T Cell signalling to develop a new Artificial Immune System concepts involving the internal components of the TCR. We show that the concepts of receptor signalling have a natural interpretation as Parzen Window Kernel Density Estimation applied to anomaly detection. We then demonstrate how the dynamic nature of the receptors allows anomaly detection when probability distributions vary in time.
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Owens, N.D.L., Greensted, A., Timmis, J., Tyrrell, A. (2009). T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection. In: Andrews, P.S., et al. Artificial Immune Systems. ICARIS 2009. Lecture Notes in Computer Science, vol 5666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03246-2_15
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DOI: https://doi.org/10.1007/978-3-642-03246-2_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03245-5
Online ISBN: 978-3-642-03246-2
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