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 endorses the privacy-preserving design principles incorporation.

翻译：移动应用的激增以及随之而来的个人数据与服务及应用提供商之间的共享，引发了重大的隐私关切。应用市场已引入机制以遵守法规，并赋予个人对其数据的控制权。然而，在明确指示、标签或评分方面仍显著缺失，这些指标本应阐明这些应用的隐私含义。为应对这一挑战，本文介绍了一个隐私量化框架。该框架旨在系统评估使用特定安卓应用时的隐私风险水平。其主要目标是为个人提供定性标签，使其能够就自身隐私做出知情决策。本研究致力于构建一个优先考虑隐私、促进知情决策并倡导融入隐私保护设计原则的数字环境。