We propose automatic, machine-learning-based methods achieving remarkably good early classification performance on real traffic traces generated from a diverse ...
The key idea is to move the classification target from single flows to endpoints, which aggregates all traffic sent/received by the same IP address and TCP port ...
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Feb 10, 2011 · We propose automatic, machine- learning-based methods achieving quite good early classification performance on real traffic traces generated ...
[PDF] Early Identification of Peer-to-Peer Traffic | Semantic Scholar
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This paper proposes automatic, machine-learning-based methods achieving remarkably good early classification performance on real traffic traces generated ...
In this paper the author will propose a new method based on traffic behavior that helps identify P2P users, and even helps to distinguish what type of P2P ...
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The main purpose of this paper is twofold. First, we propose a novel identification method to reveal P2P traffic from traffic aggregation.
In order to identify P2P traffic quickly and accurately as early as possible, an early intelligent P2P traffic identification method(EIIC) is proposed, which ...
In this paper, we develop a systematic methodology to identify. P2P flows at the transport layer, i.e., based on connection patterns of P2P networks, and ...
The "Peer-To-Peer" (P2P) detection focuses on identifying unauthorized use of peer-to-peer communication channels within an organization's network.
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[PDF] Accurate, Scalable In-Network Identification of P2P Traffic Using ...
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In this paper, we provide an efficient approach for identifying the P2P application traffic through application level signatures. We first identify the ...