Research Article
Self Tolerance by Tuning T-Cell Activation: An Artificial Immune System for Anomaly Detection
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@INPROCEEDINGS{10.1007/978-3-642-32615-8_1, author={M\^{a}rio Antunes and Manuel Correia}, title={Self Tolerance by Tuning T-Cell Activation: An Artificial Immune System for Anomaly Detection}, proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers}, proceedings_a={BIONETICS}, year={2012}, month={10}, keywords={Artificial Immune Systems Tunable Activation Thresholds Pattern Recognition Signal Processing Support Vector Machine}, doi={10.1007/978-3-642-32615-8_1} }- Mário Antunes
Manuel Correia
Year: 2012
Self Tolerance by Tuning T-Cell Activation: An Artificial Immune System for Anomaly Detection
BIONETICS
Springer
DOI: 10.1007/978-3-642-32615-8_1
Abstract
The Artificial Immune Systems (AIS) constitute an emerging and very promising area of research that historically have been falling within two main theoretical immunological schools of thought: those based on (NS) or those inspired on (DT). Despite their inherent strengths and well known promising results, both deployed AIS have documented difficulties on dealing with gradual dynamic changes of self behavior through time.
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