Detecting wearable app permission mismatches: a case study on Android wear

Author:

Mujahid Suhaib1

Affiliation:

1. Concordia University, Canada

Publisher

ACM

Reference11 articles.

1. PScout

2. A methodology for empirical analysis of permission-based security models and its application to android

3. Android Developers Documentation. 2017. Packaging Wearable Apps. https: //developer.android.com/training/wearables/apps/packaging.html. (2017). (Accessed on 01/19/2017). Android Developers Documentation. 2017. Packaging Wearable Apps. https: //developer.android.com/training/wearables/apps/packaging.html. (2017). (Accessed on 01/19/2017).

4. Android permissions demystified

5. Developer Mistakes in Writing Android Manifests: An Empirical Study of Configuration Errors

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1. Using Consumer-Graded Wearable Devices for Sleep Apnea Pre-Diagnosis: A Survey and Recommendations;2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE);2023-06-28

2. Investigating and prioritising different issues in wearable apps: An spherical Fuzzy-DEMATEL approach;Multimedia Tools and Applications;2023-06-20

3. PMMSA: Security analysis system for android wearable applications based on permission matching and malware similarity analysis;Future Generation Computer Systems;2022-12

4. Information Leakage in Wearable Applications;Security, Privacy, and Anonymity in Computation, Communication, and Storage;2019

5. A First Look at SIM-Enabled Wearables in the Wild;Proceedings of the Internet Measurement Conference 2018;2018-10-31

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