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Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection

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Artificial Immune Systems (ICARIS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4628))

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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.

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Author information

Authors and Affiliations

  1. Dept. of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte (MG) 31270-010, Brazil

    T. S. Guzella & W. M. Caminhas

  2. Dept. of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte (MG) 31270-010, Brazil

    T. A. Mota-Santos

Authors
  1. T. S. Guzella
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  2. T. A. Mota-Santos
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  3. W. M. Caminhas
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Leandro Nunes de Castro Fernando José Von Zuben Helder Knidel

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Guzella, T.S., Mota-Santos, T.A., Caminhas, W.M. (2007). Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds) Artificial Immune Systems. ICARIS 2007. Lecture Notes in Computer Science, vol 4628. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73922-7_11

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  • DOI: https://doi.org/10.1007/978-3-540-73922-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73921-0

  • Online ISBN: 978-3-540-73922-7

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