智能住宅的隐私渗漏及其缓解:作为案例研究的互联网电信电信技术研究所 (Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study)

The combination of smart home platforms and automation apps introduces much convenience to smart home users. However, this also brings the potential for privacy leakage. If a smart home platform is permitted to collect all the events of a user day and night, then the platform will learn the behavior pattern of this user before long. In this paper, we investigate, how IFTTT, one of the most popular smart home platforms, has the capability of monitoring the daily life of a user in a variety of ways that are hardly noticeable. Moreover, we propose multiple ideas for mitigating the privacy leakage, which altogether forms a Filter-and-Fuzz (FF) process: first, it filters out events unneeded by the IFTTT platform; then, it fuzzes the values and frequencies of the remaining events. We evaluate the FF process, and the result shows that the proposed solution makes IFTTT not able to recognize any behavior patterns of the users.

翻译：智能家用平台和自动化应用程序的结合为智能家用用户带来了许多便利。但是,这也带来了隐私泄漏的可能性。如果允许智能家用平台日夜收集用户的所有事件,那么平台将很快了解用户的行为模式。在本文中,我们调查了最受欢迎的智能家用平台之一IFTT如何有能力以几乎不为人注意的各种方式监测用户的日常生活。此外,我们提出了减少隐私泄漏的多种想法,这完全形成了一个过滤和翻转(FF)程序:首先,它过滤了IFTTT平台不需要的事件;然后,它模糊了剩余事件的价值和频率。我们评估了FF进程,结果显示拟议的解决方案使得IFTTT无法识别用户的任何行为模式。