论文标题
构建保护隐私的智能相机系统
Building a Privacy-Preserving Smart Camera System
论文作者
论文摘要
数以百万计的消费者依靠智能相机系统来远程监视其房屋和企业。但是,流行商业系统的架构和设计要求用户将其数据控制权放在不受信任的第三方,例如服务提供商(例如云)。因此,第三方可以(在某些情况下)无需用户的知识或同意即可访问视频录像 - 违反了用户隐私的核心宗旨。在本文中,我们提出了仙人掌,这是一种完全由用户控制的智能摄像头系统。仙人掌将控制权返回给用户;信任的根源始于用户,并通过一系列的加密协议来维护,旨在支持流行功能,例如共享,删除和观看视频实时。我们表明,该系统可以以10fps的帧速率和480p的分辨率为2s的潜伏期支持实时流媒体。这样一来,我们证明实施具有性能的智能相机系统是可行的,该系统可以利用基于云的模型的便利性,同时保留控制对(私有)数据的访问的能力。
Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require users to relinquish control of their data to untrusted third parties, such as service providers (e.g., the cloud). Third parties therefore can (and in some instances have) access the video footage without the users' knowledge or consent -- violating the core tenet of user privacy. In this paper, we present CaCTUs, a privacy-preserving smart Camera system Controlled Totally by Users. CaCTUs returns control to the user; the root of trust begins with the user and is maintained through a series of cryptographic protocols, designed to support popular features, such as sharing, deleting, and viewing videos live. We show that the system can support live streaming with a latency of 2s at a frame rate of 10fps and a resolution of 480p. In so doing, we demonstrate that it is feasible to implement a performant smart-camera system that leverages the convenience of a cloud-based model while retaining the ability to control access to (private) data.