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

Research Article

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

Download768 downloads
Cite
BibTeX Plain Text
  • @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
Copyright © 2007–2025 ICST
EAI Logo

About EAI

Community

Publish with EAI