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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Antunes, M.J. Correia, M.E. |
| Copyright Year | 2009 |
| Abstract | This paper presents an Artificial Immune System (AIS) based on Grossman's Tunable Activation Threshold (TAT) for anomaly detection. We describe the immunological metaphor and the algorithm adopted for T-cells, emphasizing two important features: the temporal dynamic adjustment of T-cells clonal size and its associated homeostasis mechanism. We 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. |
| Starting Page | 323 |
| Ending Page | 326 |
| File Size | 880095 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537399 |
| DOI | 10.1109/IJCBS.2009.59 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pathogens Peptides Artificial Immune System anomaly detection Home computing homeostasis tunable activation threshold Artificial immune systems Systems biology Biology computing clonal size control Bioinformatics Intelligent systems Artificial intelligence Immune system |
| Content Type | Text |
| Resource Type | Article |
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