Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem

Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang, Xiangliang Zhang

Research output: Contribution to journalArticlepeer-review

96 Scopus citations

Abstract

While much effort has been made to detect and measure the privacy leakage caused by the advertising (ad) libraries integrated in mobile applications, analytics libraries, which are also widely used in mobile apps have not been systematically studied for their privacy risks. In this work, we study what information is collected by the analytics libraries integrated in popular Android apps. We design and implement a framework called
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Mobile Computing
DOIs
StatePublished - 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The work reported in this paper was supported in part by National Key R&D Program of China, under grant 2017YFB0802805, in part by Natural Science Foundation of China, under Grant U1736114 and 61672092. Zhu’s work was supported in part by the National Science Foundation (NSF) under grants CNS-1618684.

Fingerprint

Dive into the research topics of 'Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem'. Together they form a unique fingerprint.

Cite this