Computer Science Department
School of Computer Science, Carnegie Mellon University
Reconciling Mobile App Privacy and Usability on Smartphones:
Bin Liu, Jialiu Lin, Norman Sadeh
To appear in the
As they compete for developers, mobile app ecosystems have been exposing
a growing number of APIs through their software development kits. Many
of these APIs involve accessing sensitive functionality and/or user data
and require approval by users. Android for instance allows developers to
select from over 130 possible permissions. Expecting users to review and
possibly adjust settings related to these permissions has proven unrealistic.
In this paper, we report on the results of a study analyzing people's privacy preferences when it comes to granting permissions to different mobile apps. Our results suggest that, while people's mobile app privacy preferences are diverse, a relatively small number of profiles can be identified that offer the promise of significantly simplifying the decisions mobile users have to make.
Specifically, our results are based on the analysis of settings of 4.8 million smartphone users of a mobile security and privacy platform. The platform relies on a rooted version of Android where users are allowed to choose between "granting", "denying" or "requesting to be dynamically prompted" when it comes to granting 12 different Android permissions to mobile apps they have downloaded.