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Information Leakage in Encrypted IP Video Traffic

机译：加密IP视频流量中的信息泄露

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Voice chat and conferencing services may be assumed to be private and secure because of strong encryption algorithms applied to the video stream. We show that information leakage is occurring in video over IP traffic, including for encrypted payloads. It is possible to detect motion and scene changes, such as a person standing up or walking past a camera streaming live video. We accomplish this through analysis of network traffic metadata including arrival time between packets, packet sizes, and video stream bandwidth. Event detection through metadata analysis is possible even when common encryption techniques are applied to the video stream such as SSL or AES. We have observed information leakage across multiple codes and cameras. Through measurements of the x264 codec, we establish a basis for detectability of events via packet timing. Our laboratory experiments confirm that this event detection is possible and repeatable with commercial video streaming software.
机译：由于应用于视频流的强加密算法，可以假设语音聊天和会议服务是私有和安全的。我们表明IP流量的视频中发生信息泄漏，包括加密有效载荷。可以检测运动和场景变化，例如站立或走过相机流实时视频的人。我们通过分析网络流量元数据来完成此目的，包括数据包，数据包大小和视频流带宽之间的到达时间。即使将公共加密技术应用于诸如SSL或AES的视频流，也可以通过元数据分析进行事件检测。我们观察了多个代码和相机的信息泄漏。通过测量X264编解码器，我们通过分组定时确定事件的可检测性的基础。我们的实验室实验证实，使用商业视频流软件可以和重复该事件检测。

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