Unlocking User Privacy: A Systematic Survey of Factors and Methods in Predicting App Permission Decisions

R Lavranou, A Tsohou - IFIP International Conference on Artificial …, 2024 - Springer
Mobile devices have become an indispensable part of everyday life for most people and
have improved our lives in many ways, offering a multitude of possibilities through the …

Towards understanding the influence of personality on mobile app permission settings

F Raber, A Krueger - Human-Computer Interaction–INTERACT 2017: 16th …, 2017 - Springer
In this paper we investigate the question whether users' personalities are good predictors for
privacy-related permissions they would grant to apps installed on their mobile devices. We …

" Hard to understand, easy to ignore:" an automated approach to predict mobile app permission requests: student research abstract

M Hatamian - Proceedings of the 34th ACM/SIGAPP Symposium on …, 2019 - dl.acm.org
In this paper, we propose a novel automated approach to predict the potential privacy
sensitive permission requests by mobile apps. Based on machine learning (ML) and natural …

The best of both worlds: Mitigating trade-offs between accuracy and user burden in capturing mobile app privacy preferences

D Smullen, Y Feng, SA Zhang… - Proceedings on Privacy …, 2020 - petsymposium.org
In today's data-centric economy, data flows are increasingly diverse and complex. This is
best exemplified by mobile apps, which are given access to an increasing number of …

Effect of user expectation on mobile app privacy: a field study

R Mendes, A Brandão, JP Vilela… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Runtime permission managers for mobile devices allow requests to be performed at the time
in which permissions are required, thus enabling the user to grant/deny requests in context …

[HTML][HTML] Predicting users mobile app privacy preferences

A Alshehri, F Alotaibi - Journal of computer and communications, 2019 - scirp.org
Home users are using a wide and increasing range of different technologies, devices,
platforms, applications and services every day. In parallel, home users are also installing …

Predicting Privacy Decisions in Mobile Applications and Raising Users' Privacy Awareness

R Lavranou - International Conference on Research Challenges in …, 2023 - Springer
Smartphones and mobile applications are now an integral part of our daily lives. Managing
mobile privacy is a challenging task, that overwhelms users with numerous and complex …

Prediction of mobile app privacy preferences with user profiles via federated learning

A Brandão, R Mendes, JP Vilela - … of the Twelfth ACM Conference on …, 2022 - dl.acm.org
Permission managers in mobile devices allow users to control permissions requests, by
granting of denying application's access to data and sensors. However, existing managers …

[PDF][PDF] Can Machine Learning Help People Configure Their Mobile App Privacy Settings?

B Liu - 2020 - reports-archive.adm.cs.cmu.edu
Technologies such as mobile apps, web browsers, social networking sites, and IoT devices
provide sophisticated services to users. At the same time, they are also increasingly …

PriApp-install: learning user privacy preferences on mobile apps' installation

HX Son, B Carminati, E Ferrari - International Conference on Information …, 2022 - Springer
It is undeniable that smartphones play a vital role in our lives, as their applications (apps)
can be used to access various services anytime and anywhere. Despite the benefits …