Temporal Anomaly Detection: An Artificial Immune Approach Based on T-Cell Activation, Clonal Size Regulation and Homeostasis

Antunes, Mário J.; Correia, Manuel E.

http://hdl.handle.net/10400.8/14443

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Temporal anomaly detection An artificial immune approach based on t cell activation, clonal size regulation and homeostasis.pdf	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.	188.3 KB	Adobe PDF	Download

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Authors

Antunes, Mário J.

Correia, Manuel E.

Abstract(s)

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.

Description

EISBN - 9781441959133
Fonte: https://repositorio.inesctec.pt/items/c35955e7-8639-41f5-9b9b-179c1a80beed

Keywords

Artificial immune systems Pattern recognition Anomaly detection Homeostasis

URI

http://hdl.handle.net/10400.8/14443

Citation

Antunes, M.J., Correia, M.E. (2010). Temporal Anomaly Detection: An Artificial Immune Approach Based on T Cell Activation, Clonal Size Regulation and Homeostasis. In: Arabnia, H. (eds) Advances in Computational Biology. Advances in Experimental Medicine and Biology, vol 680. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5913-3_33.