Temporal Anomaly Detection: An artificial immune approach based on T-cell activation, clonal size regulation and homeostasis

• Type: Chapter or Part of a Book
• Date: 2011

Authors

Mário Antunes (Author) FCUP; Manuel Correia (Author) FCUP

Book

Title: Advances in Computational Biology

Pages: 291-298

Indexing

ISI Web of Science

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Physical sciences > Computer science

Other information

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

Notes: ISBN 978-1-4419-5912-6. - Ed. lit. Hamid R. Arabnia. - Series Advances in Experimental Medicine and Biology ; vol. 680. - Springer, 2011. - DOI 10.1007/978-1-4419-5913-3. - Disponível em: http://www.springerlink.com/content/978-1-4419-5912-6 ; http://apps.isiknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=1&SID=Q27697bAdG1LL57p7Ag&page=1&doc=1&colname=WOS