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

• Tipo: Capítulo ou Parte de Livro
• Data: 2011

Autores

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

Livro

Título: Advances in Computational Biology

Páginas: 291-298

Indexação

ISI Web of Science

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Físicas > Ciência de computadores

Outras Informações

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: 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