• DocumentCode
    2798216
  • Title

    Two-state peer-to-peer flow detection algorithm

  • Author

    Puangpronpitag, Somnuk ; Chuachan, Thongchai

  • Author_Institution
    Fac. of Inf., Mahasarkham Univ., Mahasarakham, Thailand
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Peer-to-peer flow detection algorithm has been studied for several years. Port-based classification, regular expression, graphlet and various machine learning based algorithms have been proposed as solutions. Unfortunately, all previous algorithms have been failed in various aspects especially for the encrypted peer-to-peer traffic. In this paper, we present a new algorithm to delivers more effectiveness. We have also prototyped our algorithm and evaluate on a test-bed. The performance evaluation has demonstrated the better effectiveness of our algorithm in comparison to the previous ones.
  • Keywords
    computer network performance evaluation; cryptography; learning (artificial intelligence); pattern classification; peer-to-peer computing; telecommunication traffic; encrypted peer-to-peer traffic; graphlet based algorithms; machine learning based algorithms; performance evaluation; port-based classification; regular expression; two-state peer-to-peer flow detection algorithm; Accuracy; Classification algorithms; Cryptography; Electronics packaging; Payloads; Peer to peer computing; Protocols; Peer-to-peer Flow Detection; Peer-to-peer traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
  • Conference_Location
    Phetchaburi
  • Print_ISBN
    978-1-4673-2026-9
  • Type

    conf

  • DOI
    10.1109/ECTICon.2012.6254342
  • Filename
    6254342