Network traffic analysis using clustering ants

@article{Ekola2004NetworkTA,
  title={Network traffic analysis using clustering ants},
  author={Teemu Ekola and Mikko Laurikkala and Timo Lehto and Hannu Koivisto},
  journal={Proceedings World Automation Congress, 2004.},
  year={2004},
  volume={17},
  pages={275-280}
}
This paper exploits a newish self-organizing clustering method to analyze network data. The method is based on cooperative behaviour of ants. Collective intelligence of an ant colony rests on interactions of individual ants and the environment. Hence no central control is needed and the whole process is performed unsupervised by simple agents. The data used in the analysis was recorded from a border gateway of a campus network. The theory of clustering ants is introduced before the clustering… CONTINUE READING

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