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The purpose of this paper proposes a network flow identification methodology considering network traffic dynamics caused by various types of recent network-based applications. In particular, P2P applications that generate encrypted packets are rarely visible to previous schemes, which have been proposed to handle packet filtering and control. Therefore, as a new strategy, the authors propose an efficient flow analysis scheme using a distributed monitoring agent for successful P2P and non-P2P traffic identification and management with statistical and application-level heuristic algorithm.
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