Automatic Discovery of Network Applications: A Hybrid Approach

Abstract. 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 In this paper, we propose an online hybrid
mechanism for the classification of network flows, in which we employ a signature-based classifier in the first level, and then using  he weighted unigram model we improve the performance of
the system by labeling the unknown portion. Our 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.