MORSE: A P2P monitoring and reverting system

Zhou Zhou, Tian Song*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

As P2P traffic now constitutes a substantial proportion of Internet traffic, ISPs are facing new challenge in network management. Instead of blindly limiting P2P traffic, ISPs should provide the basic networking service for P2P users while minimizing the traffic overhead over the infrastructure. On the other hand, illegal sharing of copyrighted and malicious materials with P2P applications introduces a serious security issue, which motives the need of knowing what contents are really transferred in P2P applications. This paper presents MORSE, a system that enables ISPs to accurately identify and effectively control P2P traffic, as well as, revert transferred contents if needed. Specifically, in terms of traffic control, MORSE leverages file-level information provided by a P2P traffic identification method to adopt an efficient and flexible strategy: limiting the number of concurrent flows that a peer can use to download a particular file. In terms of content reverting, besides traditional flow reconstruction method, MORSE offers an indirect way that uses the file ID information. At last, a real-life trace is measured in MORSE and promising results are obtained.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Networking and Distributed Computing, ICNDC 2011
Pages331-335
Number of pages5
DOIs
Publication statusPublished - 2011
Event2nd International Conference on Networking and Distributed Computing, ICNDC 2011 - Beijing, China
Duration: 21 Sept 201124 Sept 2011

Publication series

NameProceedings - 2nd International Conference on Networking and Distributed Computing, ICNDC 2011

Conference

Conference2nd International Conference on Networking and Distributed Computing, ICNDC 2011
Country/TerritoryChina
CityBeijing
Period21/09/1124/09/11

Keywords

  • Content reverting
  • Peer-to-peer
  • Traffic control
  • Traffic identification

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