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MOVICAB-IDS: Visual Analysis of Network Traffic Data Streams for Intrusion Detection

  • Álvaro Herrero
  • Emilio Corchado
  • José Manuel Sáiz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

MOVICAB-IDS enables the more interesting projections of a massive traffic data set to be analysed, thereby providing an overview of any possible anomalous situations taking place on a computer network. This IDS responds to the challenges presented by traffic volume and diversity. It is a connectionist agent-based model extended by means of a functional and mobile visualization interface. The IDS is designed to be more flexible, accessible and portable by running on a great variety of applications, including small mobile ones such as PDA’s, mobile phones or embedded devices. Furthermore, its effectiveness has been demonstrated in different tests.

Keywords

Unsupervised Learning Neural Networks Exploratory Projection Pursuit Multiagent Systems Computer Network Security Intrusion Detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Álvaro Herrero
    • 1
  • Emilio Corchado
    • 1
  • José Manuel Sáiz
    • 1
  1. 1.Department of Civil EngineeringUniversity of BurgosSpain

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