Streaming Content Leakage Detection System for Encrypted Streams

加密流的流媒体内容泄漏检测系统

• 批准号: 22650010
• 负责人: KATO Nei
• 金额: $ 1.62万
• 依托单位: Tohoku University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Challenging Exploratory Research
• 财政年份: 2010
• 资助国家: 日本
• 起止时间: 2010 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22650010/
• 关键词: 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

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.

我们的研究小组以前提出了流媒体内容泄漏检测技术的基础上，不同的内容表现出不同的流量模式，当他们被交付在网络上。通过将在内容服务器附近获得的流量模式与在出口节点处测量的流量模式进行比较，这些传统系统能够检测到流泄漏到外部网络。虽然我们的基本技术可以通过采用先进的流量模式生成算法来增强，但它们对加密流的鲁棒性需要进一步改进。为了解决这个问题，我们设想了一种增强的机制来处理加密流量。我们还实证评估所提出的计划的性能，并验证其有效性。

项目成果

コンテンツ不正使用判定装置及び方法及びプログラム

内容非法使用判定装置、方法以及程序

• 发表时间: 2012