Streaming Content Leakage Detection System for Encrypted Streams

我们的研究小组之前提出了基于不同内容在网络上传输时表现出不同的流量模式的流媒体内容泄漏检测技术。通过比较在内容服务器附近获得的业务量模式与在出口节点处测量的业务量模式，这些传统系统能够检测到流向外部网络的流泄漏。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，但它们对加密流的健壮性需要进一步改进。为了解决这个问题，我们设想了一种处理加密流量的增强机制。我们还对所提方案的性能进行了实证评估，并验证了其有效性。

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.