title: Temporal anomaly detection: an artificial immune approach based on T cell activation, clonal size regulation and homeostasis.
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.
authors.affiliation: School of Technology and Management, Polytechnic Institute of Leiria, Morro do Lena, Alto do Vieiro, 2411-901 Leiria, Portugal. mario.antunes@ipleiria.pt
authors.forename: Mário J
authors.initials: MJ
authors.lastname: Antunes
authors.forename: Manuel E
authors.initials: ME
authors.lastname: Correia
mesh_terms: D058045:Artificial Cells / Q000276:immunology*; D001185:Artificial Intelligence; D002999:Clone Cells / Q000276:immunology; D019295:Computational Biology; D006706:Homeostasis; D008213:Lymphocyte Activation; D018448:Models, Immunological; D010363:Pattern Recognition, Automated; D013601:T-Lymphocytes / Q000276:immunology*