Towards a novel immune inspired approach to temporal anomaly detection

  • Authors:

  • T. S. Guzella;T. A. Mota-Santos;W. M. Caminhas

  • Affiliations:

  • Dept. of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Dept. of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Dept. of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

  • Venue:
  • ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
  • Year:
  • 2007

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Abstract

In this conceptual paper, we report on studies and initial definitions of an immune-inspired approach to temporal anomaly detection problems, where there is a strict temporal ordering on the data, such as intrusion detection and fault detection. The inspiration for the development of this approach comes from the sophisticated mechanisms involved in T-cell based recognition, such as tuning of activation thresholds, receptor down-regulation, among others. Despite relying on low affinity and highly degenerate interactions, the recognition of foreign patterns by T cells is both highly sensitive and specific. Through a proper understanding of some of these mechanisms, this work aims at developing an efficient computational model using some of these concepts.