Predicting Users Mobile App Privacy Preferences
نویسندگان
چکیده
منابع مشابه
Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings
In this paper, we investigate the feasibility of identifying a small set of privacy profiles as a way of helping users manage their mobile app privacy preferences. Our analysis does not limit itself to looking at permissions people feel comfortable granting to an app. Instead it relies on static code analysis to determine the purpose for which an app requests each of its permissions, distinguis...
متن کاملUnderstanding and Capturing People’s Mobile App Privacy Preferences
............................................................................................................................. iii Acknowledgements ............................................................................................................ iv
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By allowing individuals to be permanently connected to the Internet, mobile devices ease the way information can be accessed and shared online, but also raise novel privacy challenges for end users. Recent behavioral research on “soft” or “asymmetric” paternalism has begun exploring ways of helping people make better decisions in different aspects of their lives. We apply that research to priva...
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The evolution of mobile network technologies and smartphones has provided mobile consumers with unprecedented access to Internet and value-added services while on the move. Privacy issues in such context become critically important because vendors may access a large volume of personal information. Although several pioneering studies have examined general privacy risks, few systematic attempts h...
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ژورنال
عنوان ژورنال: Journal of Computer and Communications
سال: 2019
ISSN: 2327-5219,2327-5227
DOI: 10.4236/jcc.2019.710014