Assessing Mobile Application Privacy: A Quantitative Framework for Privacy Measurement
Joao Marono, Catarina Silva, Joao P. Barraca, Vitor Cunha, Paulo, Salvador

TL;DR
This paper introduces a quantitative framework to evaluate and label the privacy risks of Android applications, helping users make informed privacy decisions amidst increasing data sharing concerns.
Contribution
It presents a novel privacy quantification framework that systematically assesses privacy risks and provides qualitative labels for Android apps, addressing the lack of clear privacy indicators.
Findings
Framework enables systematic privacy risk evaluation
Provides qualitative privacy labels for Android apps
Supports informed user decision-making
Abstract
The proliferation of mobile applications and the subsequent sharing of personal data with service and application providers have given rise to substantial privacy concerns. Application marketplaces have introduced mechanisms to conform to regulations and provide individuals with control over their data. However, a notable absence persists regarding clear indications, labels or scores elucidating the privacy implications of these applications. In response to this challenge, this paper introduces a privacy quantification framework. The purpose of this framework is to systematically evaluate the level of privacy risk when using particular Android applications. The main goal is to provide individuals with qualitative labels to make informed decisions about their privacy. This work aims to contribute to a digital environment that prioritizes privacy, promotes informed decision-making, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy, Security, and Data Protection · Green IT and Sustainability · Mobile Health and mHealth Applications
