Automatic Discovery of Network Applications: A Hybrid Approach

Automatic discovery of network applications is a very challenging task which has received a lot of attentions due to its importance in many areas such as network security, QoS provisioning, and network management. In this paper, the authors propose an online hybrid mechanism for the classification of network flows, in which they employ a signature-based classifier in the first level, and then using the weighted unigram model they improve the performance of the system by labeling the unknown portion. Their evaluation on two real networks shows between 5% and 9% performance improvement applying the genetic algorithm based scheme to find the appropriate weights for the unigram model.

Provided by: University of New Brunswick Topic: Mobility Date Added: Feb 2010 Format: PDF

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