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