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
Link To Document :
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