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Experiments and Results

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Part of the Studies in Computational Intelligence book series (SCI,volume 334)

Abstract

Experimental results obtained by MOVICAB-IDS when examining normal and anomalous traffic are presented in this chapter. CMLHL projections enable MOVICAB-IDS to identify anomalous situations because these situations tend not to resemble parallel and smooth directions (as normal situations do) and because of their high packet concentrations, among others. The figures in this chapter include illustrations that highlight these anomalous situations, which it should be noted are not generated by MOVICAB-IDS.

Keywords

  • Learn Rate
  • Port Number
  • Transport Control Protocol
  • Normal Traffic
  • Anomalous Situation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-642-18299-0_5
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© 2011 Springer-Verlag Berlin Heidelberg

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Herrero, Á., Corchado, E. (2011). Experiments and Results. In: Mobile Hybrid Intrusion Detection. Studies in Computational Intelligence, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18299-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-18299-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18298-3

  • Online ISBN: 978-3-642-18299-0

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