TY - JOUR
T1 - Privacy issues in Android applications
T2 - the cases of GPS navigators and fitness trackers
AU - Monogios, Stylianos
AU - Magos, Kyriakos
AU - Limniotis, Konstantinos
AU - Kolokotronis, Nicholas
AU - Shiaeles, Stavros
N1 - Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 786698. The work reflects only the authors’ view and the Agency is not responsible for any use that may be made of the information it contains.
Publisher Copyright:
© 2022 Inderscience Enterprises Ltd.
PY - 2022/5/30
Y1 - 2022/5/30
N2 - The Android operating system constitutes a very attracting platform for developing smart applications providing various services to the users, including the field of e-governance. This provision comes along with personal data processing, which in turn raises several privacy concerns. This paper studies privacy issues in the mobile ecosystem, focusing on two important types of smart applications which process personal data to a large extent: global positioning system (GPS) navigators and fitness tracking applications. More precisely, for both types of applications, an indicative list of popular apps is being analysed through appropriate experimental environment, aiming to identify the underlying personal data processing that takes place. Our analysis illustrates that both GPS navigation apps and fitness trackers have access to several types of users data, while they may allow for personal data leakage towards third parties such as library providers or tracking services without providing always adequate or precise information to the users.
AB - The Android operating system constitutes a very attracting platform for developing smart applications providing various services to the users, including the field of e-governance. This provision comes along with personal data processing, which in turn raises several privacy concerns. This paper studies privacy issues in the mobile ecosystem, focusing on two important types of smart applications which process personal data to a large extent: global positioning system (GPS) navigators and fitness tracking applications. More precisely, for both types of applications, an indicative list of popular apps is being analysed through appropriate experimental environment, aiming to identify the underlying personal data processing that takes place. Our analysis illustrates that both GPS navigation apps and fitness trackers have access to several types of users data, while they may allow for personal data leakage towards third parties such as library providers or tracking services without providing always adequate or precise information to the users.
KW - Android system
KW - fitness trackers
KW - GPS navigator
KW - privacy
KW - profiling
KW - third-party library
UR - http://www.scopus.com/inward/record.url?scp=85131832984&partnerID=8YFLogxK
U2 - 10.1504/IJEG.2022.123245
DO - 10.1504/IJEG.2022.123245
M3 - Article
AN - SCOPUS:85131832984
SN - 1742-7509
VL - 14
SP - 83
EP - 111
JO - International Journal of Electronic Governance
JF - International Journal of Electronic Governance
IS - 1-2
ER -