Building a Privacy-Preserving Smart Camera System

Yohan Beugin, Quinn K. Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, P. Mcdaniel
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引用次数: 4

Abstract

Abstract 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 2 s at a frame rate of 10 fps and a resolution of 480 p. 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.
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构建一个保护隐私的智能摄像头系统
摘要数以百万计的消费者依靠智能摄像系统来远程监控他们的家庭和企业。然而,流行的商业系统的架构和设计要求用户将对其数据的控制权交给不受信任的第三方,例如服务提供商(例如,云)。因此,第三方可以(在某些情况下)在用户不知情或不同意的情况下访问视频片段,这违反了用户隐私的核心原则。在本文中,我们提出了一个完全由用户控制的保护隐私的智能相机系统CaCTU。CaCTU将控制权返回给用户;信任的根源始于用户,并通过一系列加密协议来维护,这些协议旨在支持流行的功能,如共享、删除和实时观看视频。我们证明,该系统可以支持延时为2s、帧速率为10fps、分辨率为480p的直播。通过这样做,我们证明了实现一个高性能智能相机系统是可行的,该系统利用了基于云的模型的便利性,同时保留了控制(私人)数据访问的能力。
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