Smart Home Privacy Policies Demystified: A Study of Availability, Content, and Coverage
Sunil Manandhar, Kaushal Kafle, Benjamin Andow, Kapil Singh, Adwait Nadkarni
摘要
Smart home devices transmit highly sensitive usage information to servers owned by vendors or third-parties as part of their core functionality. Hence, it is necessary to provide users with the context in which their device data is collected and shared, to enable them to weigh the benefits of deploying smart home technology against the resulting loss of privacy. As privacy policies are generally expected to precisely convey this information, we perform a systematic and data-driven analysis of the current state of smart home privacy policies, with a particular focus on three key questions: (1) how hard privacy policies are for consumers to obtain, (2) how existing policies describe the collection and sharing of device data, and (3) how accurate these descriptions are when compared to information derived from alternate sources. Our analysis of 596 smart home vendors, affecting 2, 442 smart home devices yields 17 findings that impact millions of users, demonstrate gaps in existing smart home privacy policies, as well as challenges and opportunities for automated analysis.
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引用它的顶会 Paper9
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- Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep LearningHamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub 等USENIX Security 2018 · 被引用 400 次
- FlowFence: Practical Data Protection for Emerging IoT Application FrameworksEarlence Fernandes, Justin Paupore, Amir Rahmati, Daniel Simionato 等USENIX Security 2016 · 被引用 296 次
- Automated Analysis of Privacy Requirements for Mobile AppsSebastian Zimmeck, Ziqi Wang, Lieyong Zou, Roger Iyengar 等NDSS 2017 · 被引用 255 次
- Sensitive Information Tracking in Commodity IoTZ. Berkay Celik, Leonardo Babun, Amit Kumar Sikder, Hidayet Aksu 等USENIX Security 2018 · 被引用 236 次
- Ask the Experts: What Should Be on an IoT Privacy and Security Label?Pardis Emami Naeini, Yuvraj Agarwal, Lorrie Faith Cranor, Hanan HibshiS&P 2020 · 被引用 195 次
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