MOVICAB-IDS: visual analysis of network traffic data streams for intrusion detection

  • Authors:
  • Álvaro Herrero;Emilio Corchado;José Manuel Sáiz

  • Affiliations:
  • Department of Civil Engineering, University of Burgos, Spain;Department of Civil Engineering, University of Burgos, Spain;Department of Civil Engineering, University of Burgos, Spain

  • Venue:
  • IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
  • Year:
  • 2006

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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.