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Hybrid Multi Agent-Neural Network Intrusion Detection with Mobile Visualization

  • Álvaro Herrero
  • Emilio Corchado
  • María A. Pellicer
  • Ajith Abraham
Part of the Advances in Soft Computing book series (AINSC, volume 44)

Abstract

A multiagent system that incorporates an Artificial Neural Networks based Intrusion Detection System (IDS) has been defined to guaranty an efficient computer network security architecture. The proposed system facilitates the intrusion detection in dynamic networks. This paper presents the structure of the Mobile Visualization Connectionist Agent-Based IDS, more flexible and adaptable. The proposed improvement of the system in this paper includes deliberative agents that use the artificial neural network to identify intrusions in computer networks. The agent based system has been probed through anomalous situations related to the Simple Network Management Protocol.

Keywords

Multiagent Systems Artificial Neural Networks Unsupervised Learning Projection Methods Computer Network Security Intrusion Detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Álvaro Herrero
    • 1
  • Emilio Corchado
    • 1
  • María A. Pellicer
    • 1
  • Ajith Abraham
    • 2
  1. 1.Department of Civil EngineeringUniversity of BurgosBurgosSpain
  2. 2.Norwegian University of Science and TechnologyNorway

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