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A host of methods and algorithms have been proposed to solve the issue of traffic classification in recent years. However, a comparison of results between different studies is very difficult due to the lack of structure and common understanding of notions in the domain, especially a precise definition of application classes. This paper aims to fill this gap and propose a first attempt to systematically...
This work studies the impact of flow sampling on the accuracy of behavioral traffic classification. More precisely, we consider the case where the traffic classification engine is located at different vantage points of the network. Usually, behavioral classification is performed close to the user access network - where all the traffic exchanged by an endpoint can be observed. In this work instead...
The last few years have witnessed VoIP applications gaining a tremendous popularity and Skype, in particular, is leading this continuous expansion. Unfortunately, Skype follows a closed source and proprietary design, and typically uses encryption mechanisms, making it very difficult to identify its presence from a traffic aggregate. Several algorithms and approaches have been proposed to perform such...
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