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AuthorXu, Rixin
AuthorZeng, Qiang
AuthorZhu, Liehuang
AuthorChi, Haotian
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:21Z
Publication Date2019
Publication NameIEEE Access
ResourceScopus
Resource2-s2.0-85066425420
URIhttp://dx.doi.org/10.1109/ACCESS.2019.2911202
URIhttp://hdl.handle.net/10576/36119
AbstractThe combination of smart home platforms and automation apps introduce many conveniences to smart home users. However, this also brings the potential of 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 all together form a 'Filter-and-Fuzz' (FF) process: first, it filters out events unneeded by the IFTTT platform. Then, it fuzzifies the values and frequencies of the remaining events. We evaluate the FF process and the results show that the proposed solution makes the IFTTT unable to recognize any of the user's behavior patterns. 2013 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectIFTTT
privacy leakage
smart home
SmartThings
TitlePrivacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study
TypeArticle
Pagination63457-63471
Volume Number7
dc.accessType Open Access


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