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

• Type: Conference
• Year: 2007
• Where: ICARIS
• Authors: Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas
• Keywords: Activation Threshold, ICARIS 2007, Strict Temporal Ordering, Temporal Anomaly Detection