By the same authors

T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publicationARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS
DatePublished - 2009
Pages122-135
Number of pages14
PublisherSPRINGER-VERLAG BERLIN
Place of PublicationBERLIN
EditorsPS Andrews, J Timmis, NDL Owens, U Aickelin, E Hart, A Hone, AM Tyrrell
Volume5666 LNCS
Original languageEnglish
ISBN (Print)978-3-642-03245-5

Abstract

The T cell is able to perform line-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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