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 introduce CaCTUs, a privacy-preserving smart camera system that 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. 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. We then discuss how our techniques and protocols can also be extended to privacy-preserving designs of other IoT devices recording time series data.
翻译:数以百万计的消费者依靠智能相机系统远程监测他们的家和企业,然而,流行商业系统的架构和设计要求用户将数据控制权交给不受信任的第三方,如服务提供商(如云层),因此第三方可以在没有用户知情或未经用户同意的情况下(在某些情况下)访问视频视频,这违反了用户隐私的核心原则。在本文中,我们引入了CaCTU,这是一个隐私保护智能相机系统,将控制权带回用户;信任的根源始于用户,并通过一系列加密协议加以维护,这些协议旨在支持诸如共享、删除和实时观看视频等流行特征。我们这样做表明,实施一个表演智能相机系统是可行的,该系统利用基于云的模型的便利,同时保留控制(私人)数据访问的能力。我们接着讨论如何将我们的技术和协议扩大到其他记录时间序列数据的IOT装置的隐私保护设计。