Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/94815
Author(s): Mário Antunes
Manuel Correia
Title: Temporal Anomaly Detection: An artificial immune approach based on T-cell activation, clonal size regulation and homeostasis
Issue Date: 2011
Abstract: This paper presents an artificial immune system (AIS) based on Grossman's tunable activation threshold (TAT) for temporal anomaly detection. We describe the generic AIS framework and the TAT model adopted for simulating T-cells behaviour, emphasizing two novel important features: the temporal dynamic adjustment of T-cells clonal size and its associated homeostasis mechanism. We also present some promising results obtained with artificially generated data sets, aiming to test the appropriateness of using TAT in dynamic changing environments, to distinguish new unseen patterns as part of what should be detected as normal or as anomalous. We conclude by discussing results obtained thus far with artificially generated data sets.
Subject: Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
Call Number: 49095
URI: http://hdl.handle.net/10216/94815
Source: Advances in Computational Biology
Document Type: Capítulo ou Parte de Livro
Rights: restrictedAccess
Appears in Collections:FCUP - Capítulo ou Parte de Livro

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