Streaming Content Leakage Detection System for Encrypted Streams
Project/Area Number |
22650010
|
Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Single-year Grants |
Research Field |
Computer system/Network
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Research Institution | Tohoku University |
Principal Investigator |
KATO Nei 東北大学, 大学院・情報科学研究科, 教授 (00236168)
|
Project Period (FY) |
2010 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥2,530,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥330,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,100,000 (Direct Cost: ¥1,100,000)
|
Keywords | ストリーミング / 動画視聴 / コンテンツ / トラヒックパターン / 暗号化 |
Research Abstract |
Our research group had previously proposed streaming content leakage detection technology based on the fact that different contents exhibit different traffic patterns when they are being delivered over the networks. By comparing traffic patterns obtained near the content server with those measured at egress nodes, these conventional systems are able to detect the stream leakage to the external network. Although our fundamental techniques can be enhanced by adopting an advanced traffic pattern generation algorithm, their robustness to encrypted streams requires further improvements. In order to address this problem, we envision an enhanced mechanism for dealing with encrypted traffic. We also empirically evaluate the performance of the proposed scheme and validate its effectiveness.
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Report
(3 results)
Research Products
(4 results)