Presentation 2008-03-06
A Study of Definition of Traffic Pattern on Traitor Tracing Technology
Kazumasa MATSUDA, Hidehisa NAKAYAMA, Masaru DOBASHI, Nei KATO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Traitor Tracing Technology enables content distributors to observe and control content reception. Since general tracing methods require running on user machines, user tracking can be stopped by a user's actions. Our group had proposed a Traitor Tracing method for streaming content, which makes use of traffic patterns constructed from only traffic amount information obtained from routers. Our research found that this method can track users with high accuracy in a low packet jitter environment. However, as the packet jitter increases, the tracking accuracy will decrease. In this paper, we propose a robust method against packet jitter. Finally, we perform the experiments and discuss the results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Contents Delivery / Streaming / Traffic Pattern / Detection / Packet Jitter
Paper # NS2007-136
Date of Issue

Conference Information
Committee NS
Conference Date 2008/2/28(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Definition of Traffic Pattern on Traitor Tracing Technology
Sub Title (in English)
Keyword(1) Contents Delivery
Keyword(2) Streaming
Keyword(3) Traffic Pattern
Keyword(4) Detection
Keyword(5) Packet Jitter
1st Author's Name Kazumasa MATSUDA
1st Author's Affiliation Department of Electrical, Information and Physics Engineering, School of Engineering, Tohoku University()
2nd Author's Name Hidehisa NAKAYAMA
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Masaru DOBASHI
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Nei KATO
4th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2008-03-06
Paper # NS2007-136
Volume (vol) vol.107
Number (no) 524
Page pp.pp.-
#Pages 6
Date of Issue