Presentation 2006-11-17
An Accurate Identification Method for Real-time Traffic Based on Statistics of Packet Inter-arrival Times
Masaki TAI, Shingo ATA, Ikuo OKA,
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Abstract(in English) In the current Internet, the online real-time traffic identification is a key technology to achieve differentiated service for real-time and bluk applications. Previously it is easy to identify real-time traffic by checking the protocol/port number in IP header, however, it becomes more difficult due to the existence of streaming traffic over TCP connection. Moreover, detection of real-time traffic over a kind of overlay network such as P2P or VPN is neither easy. In this paper, we propose a new identification method for real-time traffic based on not checking the protocol number, but analyzing the statistical characteristics of packet arrivals. Our approach is fast, accurate and lightweight compared to conventional techniques. Through experiments by using the monitored data, we show that our proposed method can not only identify real-time traffic accurately, but also find real-time over HTTP traffics which would not be detected by other methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) streaming / real-time traffic / traffic identification / classification / flow analysis
Paper # NS2006-136
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Committee NS
Conference Date 2006/11/9(1days)
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Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Accurate Identification Method for Real-time Traffic Based on Statistics of Packet Inter-arrival Times
Sub Title (in English)
Keyword(1) streaming
Keyword(2) real-time traffic
Keyword(3) traffic identification
Keyword(4) classification
Keyword(5) flow analysis
1st Author's Name Masaki TAI
1st Author's Affiliation Graduate School of Engineering, Osaka City University()
2nd Author's Name Shingo ATA
2nd Author's Affiliation Graduate School of Engineering, Osaka City University
3rd Author's Name Ikuo OKA
3rd Author's Affiliation Graduate School of Engineering, Osaka City University
Date 2006-11-17
Paper # NS2006-136
Volume (vol) vol.106
Number (no) 355
Page pp.pp.-
#Pages 6
Date of Issue