Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Research Article

Self Tolerance by Tuning T-Cell Activation: An Artificial Immune System for Anomaly Detection

Download
391 downloads
  • @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
Mário Antunes,*, Manuel Correia,*
    *Contact email: mario.antunes@ipleiria.pt, mcc@dcc.fc.up.pt

    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.