Proceedings of the International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2016), 272–276p. (2016) DOI:10.12783/dteees/seeie2016/4538
Detection of Encrypted Multimedia Traffic through Extraction and Parameterization of Recurrence Plots
M. Cirillo, M. Di Mauro, M. Longo, A. SenatoreThe detection of encrypted multimedia traffic (like VoIP or Video) is a crucial task for both TELCO operators and authorities involved in lawful interception issues. As an example, Skype traffic that cannot be detected through classical methods as port-based detection (because of a random based choice port option) nor payload inspection (because of encryption mechanisms adopted). Dwelling on Skype, the aim of this work is to propose a novel technique that, by recasting the regularities of the data streams in terms of recurrence plots (a representation derived from Chaos Theory), extracts some unprecedented observables; such observables are then considered in a decision-tree building procedure exploiting the C4.5 algorithm in order to draw a decision about the presence or the absence of the targeted traffic. In the final section, a comparison with a reference technique is presented.
