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Many researchers have recently dealt with P2P traffic classification, mainly because P2P applications are continuously growing in number as well as in traffic volume. Additionally, in response to the shift of the operational community from packet-level to flow-level monitoring witnessed by the widespread use of NetFlow, a number of behavioral classifiers have been proposed. These techniques, usually having P2P applications as their main target, base the classification on the analysis of the pattern of traffic generated by a host and proved accurate even when using only flow-level data. Yet, all these approaches are very specific and the community lacks a broader view of the actual amount of information of behavioral features derived by flow-level data.
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