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Dynamic Binary Tree for Hierarchical Clustering of IP Traffic

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2 Author(s)
Truong, P. ; France Telecom R&D, Lannion ; Guillemin, F.

This paper proposes a computational and memory-efficient technique for online unidimensional clustering of individual IP addresses in order to detect high-volume traffic clusters (hierarchical heavy hitters). Our technique is based on a Patricia tree and can cope with today's traffic volume. We test our algorithm by using a traffic trace composed of NetFlow records sent by a few tens of routers of the France telecom IP backbone network. We moreover show how our algorithm can be used for network anomaly detection.

Published in:

Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE

Date of Conference:

26-30 Nov. 2007