You Can't Always Get What You Want: Towards User-Controlled Privacy on Android
| Autor: | Davide Caputo, Francesco Pagano, Giovanni Bottino, Luca Verderame, Alessio Merlo |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
FOS: Computer and information sciences
Internet 021110 strategic defence & security studies Computer Science - Cryptography and Security Libraries Social networking (online) 0211 other engineering and technologies Analytics Libraries Android Privacy Data Anonymization Data privacy Mobile applications Privacy Smart phones 02 engineering and technology Electrical and Electronic Engineering Cryptography and Security (cs.CR) |
| Zdroj: | IEEE Transactions on Dependable and Secure Computing. 20:975-987 |
| ISSN: | 2160-9209 1545-5971 |
| DOI: | 10.1109/tdsc.2022.3146020 |
| Popis: | Mobile applications (hereafter, apps) collect a plethora of information regarding the user behavior and his device through third-party analytics libraries. However, the collection and usage of such data raised several privacy concerns, mainly because the end-user - i.e., the actual owner of the data - is out of the loop in this collection process. Also, the existing privacy-enhanced solutions that emerged in the last years follow an "all or nothing" approach, leaving the user the sole option to accept or completely deny the access to privacy-related data. This work has the two-fold objective of assessing the privacy implications on the usage of analytics libraries in mobile apps and proposing a data anonymization methodology that enables a trade-off between the utility and privacy of the collected data and gives the user complete control over the sharing process. To achieve that, we present an empirical privacy assessment on the analytics libraries contained in the 4500 most-used Android apps of the Google Play Store between November 2020 and January 2021. Then, we propose an empowered anonymization methodology, based on MobHide, that gives the end-user complete control over the collection and anonymization process. Finally, we empirically demonstrate the applicability and effectiveness of such anonymization methodology thanks to HideDroid, a fully-fledged anonymization app for the Android ecosystem. |
| Databáze: | OpenAIRE |
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