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ICARIS
2007
Springer

Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection

9 years 3 months ago
Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection
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. Key words: Artificial Immune Systems, Tunable activation threshold hypothesis, T cells, Temporal anomaly detection
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M.
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICARIS
Authors Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas
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