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Hybrid Traffic Classification Approach Based on Decision Tree | IEEE Conference Publication | IEEE Xplore

Hybrid Traffic Classification Approach Based on Decision Tree


Abstract:

Classifying network traffic is very challenging and is still an issue yet to be solved due to the increase of new applications and traffic encryption. In this paper, we p...Show More

Abstract:

Classifying network traffic is very challenging and is still an issue yet to be solved due to the increase of new applications and traffic encryption. In this paper, we propose a novel hybrid approach for the network flow classification, in which we first apply the payload signature based classifier to identify the flow applications and unknown flows are then identified by a decision tree based classifier in parallel. We evaluate our approach with over 100 million flows collected over three consecutive days on a large-scale WiFi ISP network and results show the proposed approach successfully classifies all the flows with an accuracy approaching 93%.
Date of Conference: 30 November 2009 - 04 December 2009
Date Added to IEEE Xplore: 04 March 2010
Print ISBN:978-1-4244-4148-8
Print ISSN: 1930-529X
Conference Location: Honolulu, HI, USA

References

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