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A comparative study of android users’ privacy preferences under the runtime permission model

Andriotis, Panagiotis; Li, Shancang; Spyridopoulos, Theodoros; Stringhini, Gianluca

Authors

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Dr Panos Andriotis Panagiotis.Andriotis@uwe.ac.uk
Senior Lecturer in Computer Forensics and Security

Shancang Li Shancang.Li@uwe.ac.uk
Senior Lecturer in Computer Forensics and Security

Theodoros Spyridopoulos

Gianluca Stringhini



Contributors

Theo Tryfonas
Editor

Abstract

© Springer International Publishing AG 2017. Android users recently were given the ability to selectively grant access to sensitive resources of their mobile devices when apps request them at runtime. The Android fine-grained runtime permission model has been gracefully accepted by the majority of users, who also seem to be consistent regarding their privacy and security preferences. In this paper we analyse permission data collected by Android devices that were utilising the runtime permission model. The reconstructed data represent apps’ settings snapshots. We compare behavioural insights extracted from the acquired data with users’ privacy preferences reported in our previous work. In addition, compared with the responses received from another group of mobile device users, users’ privacy settings seem to be affected by the functionality of apps. Furthermore, we advise visual schemata that describe users’ privacy settings and point out a usability issue regarding the installation process of Android apps under the runtime permission model.

Citation

Andriotis, P., Li, S., Spyridopoulos, T., & Stringhini, G. (2017). A comparative study of android users’ privacy preferences under the runtime permission model. Lecture Notes in Artificial Intelligence, 10292 LNCS, 604-622. https://doi.org/10.1007/978-3-319-58460-7_42

Journal Article Type Conference Paper
Conference Name HCII 2017
Start Date Jul 9, 2019
End Date Jul 14, 2019
Acceptance Date Feb 10, 2017
Publication Date Jan 1, 2017
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 10292 LNCS
Pages 604-622
Series Title Lecture Notes in Computer Science
DOI https://doi.org/10.1007/978-3-319-58460-7_42
Keywords runtime, permissions, Android, settings, apps, marshmallow, privacy, security, usability, profile
Public URL https://uwe-repository.worktribe.com/output/888222
Publisher URL https://doi.org/10.1007/978-3-319-58460-7_42
Additional Information Title of Conference or Conference Proceedings : 5th International Conference on Human Aspects of Information Security, Privacy and Trust