Abstract
In this paper we present architecture of recently built experimental anomaly detection system based on the paradigm of artificial immune system and working in a network environment. We show how network traffic data are mapped into antibodies or antigens of artificial immune system and how similarities between signatures of attackers and antibodies are measured. We present an example of the work of the system in the real network environment.
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© 2005 Springer-Verlag Berlin Heidelberg
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Seredyński, F., Bouvry, P., Rutkowski, D.R. (2005). Anomaly Detection System for Network Security: Immunity-based Approach. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_58
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DOI: https://doi.org/10.1007/3-540-32392-9_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
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