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Authors: David Rodriguez ; Miguel Cozar and Jose M. Del Alamo

Affiliation: ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain

Keyword(s): Privacy, Data Protection, Personal Data, Data Controller, First-Party, Corporation, Android, Apps.

Abstract: Many studies have demonstrated that mobile applications are common means to collect massive amounts of personal data. This goes unnoticed by most users, who are also unaware that many different organizations are receiving this data, even from multiple apps in parallel. This paper assesses different techniques to identify the organizations that are receiving personal data flows in the Android ecosystem, namely the WHOIS service, SSL certificates inspection, and privacy policy textual analysis. Based on our findings, we propose a fully automated method that combines the most successful techniques, achieving a 94.73% precision score in identifying the recipient organization. We further demonstrate our method by evaluating 1,000 Android apps and exposing the corporations that collect the users’ personal data.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rodriguez, D., Cozar, M. and Alamo, J. M. (2022). Identifying Organizations Receiving Personal Data in Android Apps. In Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-590-6; ISSN 2184-7711, SciTePress, pages 592-596. DOI: 10.5220/0011290100003283

@conference{secrypt22,
author={David Rodriguez and Miguel Cozar and Jose M. Del Alamo},
title={Identifying Organizations Receiving Personal Data in Android Apps},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT},
year={2022},
pages={592-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011290100003283},
isbn={978-989-758-590-6},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT
TI - Identifying Organizations Receiving Personal Data in Android Apps
SN - 978-989-758-590-6
IS - 2184-7711
AU - Rodriguez, D.
AU - Cozar, M.
AU - Alamo, J.
PY - 2022
SP - 592
EP - 596
DO - 10.5220/0011290100003283
PB - SciTePress