Information Entropy Based Clustering Method for Unsupervised Internet Traffic Classification

摘要

In this paper, we develop an unsupervised machine learning method for network traffic classification. First, the traffic flows from active hosts are separated into different clusters by sequentially applying the information entropy techniques. The cluster