File-aware P2P traffic classification: An aid to network management

Song, Tian; Zhou, Zhou

doi:10.1007/s12083-012-0172-4

Cited by 2 publications

(1 citation statement)

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“…Such technique is unfeasible in high-speed networks. Hence to resolve this issue, some mechanisms inspect only few packets of each flow which is a compromise between accuracy and efficiency and sometimes in such cases, signatures may not be contained in that part which is captured, which may lead to inaccurate [56] proposed file-aware P2P traffic classification mechanism based on DPI technique to identify a file and its associated flows; which consists of two strategies based on: i) per-file bandwidth consumption, and ii) number of per-file concurrent active flows. This approach maintained 6-tuple (source-ip, destination-ip, source-port, destinationport, protocol and file-id) file-level information in flow table.…”

Section: Payload-based Traffic Classificationmentioning

confidence: 99%

Identifying P2P traffic: A survey

Bhatia

Kumar

2016

Peer-to-Peer Netw. Appl.

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Peer-to-Peer (P2P) traffic is widely used for the purpose of streaming media, file-sharing, instant messaging, games, software etc., which often involves copyrighted data. From the past decade, P2P traffic has been contributing to major portion of Internet traffic which is still rising and hence is consuming a lot of network traffic bandwidth. It also worsens congestion of network traffic significantly and degrades the performance of traditional client-server applications. Popularity of various P2P applications has led Internet Service Providers (ISPs) to face various challenges regarding efficiently and fairly utilizing network resources. The traditional methods of identifying P2P traffic such as port-based and payload-based are proving ineffective due to their significant limitations and can be bypassed. Hence, new approaches based on statistics or behaviour of network traffic needs to be developed and adopted in order to accurately identify existing and new P2P traffic which emerge over the time. This article presents a survey regarding various strategies involved in identifying P2P traffic. Furthermore, conceptual analysis of network traffic measurement and monitoring is also presented.

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Section: Payload-based Traffic Classificationmentioning

confidence: 99%