Traffic Classification through Joint Distributions of Packet-Level Statistics

Interest in traffic classification, in both industry and academia, has dramatically grown in the past few years. Research is devoting great efforts to statistical approaches using robust features. In this paper we propose a classification approach based on the joint distribution of Packet Size (PS) and Inter-Packet Time (IPT) and on machine- learning algorithms. Provided results, obtained using different real traffic traces, demonstrate how the...