Marcus Fabio Fontenelle do Carmo

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In the last few years, we have seen that the attack and P2P traffic has increased significantly. Currently, P2P traffic represents a significant portion of Internet traffic and the attacks represent a serious threat to computer systems. The approach presented here uses a small number of statistical discriminators and cluster analysis to identify such kind(More)
This work presents an Internet traffic classification methodology based on statistical discriminators and cluster analysis. An accuracy identification of Internet applications is an important research area, because it is directly related to solve many network problems such as: quality of service (QoS), traffic control, security, network management and(More)
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