Network Immunity: What can we Learn from Nature for Network Protection?

Michael Kleis; Thomas Hirsch; Tanja Zseby

1st International ICST Workshop on Technologies for Situated and Autonomic Communications

Research Article

Network Immunity: What can we Learn from Nature for Network Protection?

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@INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2396,
    author={Michael Kleis and Thomas Hirsch and Tanja Zseby},
    title={Network Immunity: What can we Learn from Nature for Network Protection?},
    proceedings={1st International ICST Workshop on Technologies for Situated and Autonomic Communications},
    proceedings_a={SAC},
    year={2008},
    month={8},
    keywords={Anomaly Detection   Artificial Immune Systems   Network Intrusion Detection   Survey},
    doi={10.4108/ICST.BIONETICS2007.2396}
}

Michael Kleis
Thomas Hirsch
Tanja Zseby
Year: 2008
Network Immunity: What can we Learn from Nature for Network Protection?
SAC
IEEE
DOI: 10.4108/ICST.BIONETICS2007.2396

Michael Kleis¹^,*, Thomas Hirsch¹^,*, Tanja Zseby¹^,*

1: Fraunhofer Institute FOKUS Kaiserin-Augusta-Allee 31 10589 Berlin, Germany

*Contact email: michael.kleis@fokus.fraunhofer.de, thomas.hirsch@fokus.fraunhofer.de, tanja.zseby@fokus.fraunhofer.de

Abstract

In this paper we analyze Network Immunity as a bio-inspired approach for detecting anomalies in communication networks. We briefly review the basic methods of Artificial Immune Systems (AIS), identify their strengths and weaknesses, and evaluate their possible applications to intrusion detection in computer networks. After an overview of related work from the area of intrusion detection we collect key challenges anticipated for the realization of Network immunity based on AIS.

Keywords: Anomaly Detection Artificial Immune Systems Network Intrusion Detection Survey

Published: 2008-08-29
Modified: 2011-07-07

: http://dx.doi.org/10.4108/ICST.BIONETICS2007.2396