Network traffic analysis using clustering ants

  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.},
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


Publications referenced by this paper.
Showing 1-10 of 12 references

DNS performance and the effectiveness of caching

Computer Communication Review • 2002
View 7 Excerpts
Highly Influenced

Swarm Intelligence: From Natural to Artificial Systems

Connect. Sci. • 2002
View 4 Excerpts
Highly Influenced

A Clustering Algorithm Based on Swarm Intellignece” Info-tech and Info-net, Proceedings

Wu, Z. B. Shi
ICII 2001 - International Conferences on , • 2001
View 2 Excerpts

Ant-Class: Discovery of Clusters in Numeric Data by an Hybridization of an Ant Colony with the K-means Algorithm

Monmarché, N. Slimane, G. M. Venturini
Internal Report, École d'Ingénieurs en Informatique pour l'Industrie, Université de Tours, France • 1999
View 2 Excerpts

Learning Vector Quantization in Flow Classification of IP Switched Networks

Ilvesmäki, M. Luoma, R M.Kantola
Global Telecommunications Conference, • 1998
View 1 Excerpt

Similar Papers

Loading similar papers…