Enhancing User Privacy in Mobile Devices Through Prediction of Privacy Preferences-Reference-Cited by-同舟云学术

Enhancing User Privacy in Mobile Devices Through Prediction of Privacy Preferences

Published:2022 Issue: Volume: Page:153-172
ISSN:0302-9743
Container-title:Computer Security – ESORICS 2022
language:
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Author:

Mendes Ricardo^ORCID,Cunha Mariana^ORCID,Vilela João P.^ORCID,Beresford Alastair R.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17140-6_8

Reference24 articles.

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2. Almuhimedi, H., et al.: Your location has been shared 5,398 times!: a field study on mobile app privacy nudging. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 787–796. ACM (2015)

3. Andriotis, P., Stringhini, G., Sasse, M.A.: Studying users’ adaptation to Android’s run-time fine-grained access control system. J. Inf. Secur. Appl. 40, 31–43 (2018)

4. Balebako, R., Jung, J., Lu, W., Cranor, L.F., Nguyen, C.: Little brothers watching you: raising awareness of data leaks on smartphones. In: Proceedings of the Ninth Symposium on Usable Privacy and Security–SOUPS 2013, p. 1 (2013)

5. Bonné, B., Peddinti, S.T., Bilogrevic, I., Taft, N.: Exploring decision making with android’s runtime permission dialogs using in-context surveys. In: Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), pp. 195–210. USENIX Association, Santa Clara, CA (2017)

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4. Automating privacy decisions -where to draw the line?;2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2023-07

5. Predicting Privacy Decisions in Mobile Applications and Raising Users’ Privacy Awareness;Lecture Notes in Business Information Processing;2023