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- W51144495 abstract "Among all available peer-to-peer applications for content distribution, BitTorrent has become the most popular by dominating approximately half of the all Internet traffic. It uses dynamic ports and masquerade its traffics as HTTP traffics .Traditional client detections of BitTorrent are unable to indentify the BitTorrent download traffic for their incapability of applition layer data analysis.In this paper , a new method of BitTorrent traffic identification is presented. Finally, this paper presents an experiment to testify the availability." @default.
- W51144495 created "2016-06-24" @default.
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- W51144495 date "2011-01-01" @default.
- W51144495 modified "2023-09-26" @default.
- W51144495 title "Research on Client Detection of BitTorrent Based on Content" @default.
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- W51144495 doi "https://doi.org/10.1007/978-3-642-23324-1_76" @default.
- W51144495 hasPublicationYear "2011" @default.
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