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• W2950382885 abstract "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 patterns 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 privacy leakages, which altogether forms a Filter-and-Fuzz (F&F) 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 F&F process, and the results show that the proposed solution makes IFTTT unable to recognize any of the user's behavior patterns." @default.
• W2950382885 created "2019-06-27" @default.
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• W2950382885 date "2019-02-08" @default.
• W2950382885 modified "2023-09-27" @default.
• W2950382885 title "Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study" @default.
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• W2950382885 doi "https://doi.org/10.48550/arxiv.1902.03168" @default.
• W2950382885 hasPublicationYear "2019" @default.
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