我们能信任Android应用程序的隐私政策吗?

Le Yu, Xiapu Luo, Xule Liu, Zhang Tao
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引用次数: 78

摘要

近年来,窃取用户个人信息的恶意应用急剧增加。为了解决用户对隐私风险的担忧,越来越多的应用程序都附有以自然语言编写的隐私政策,因为用户很难根据所需的权限推断应用程序的行为。然而,很少有人知道这些隐私政策是否值得信赖。值得注意的是,有问题的隐私政策可能是由于应用程序开发人员的粗心准备或攻击者的故意欺骗造成的。本文首次对隐私政策进行了系统研究,提出了一种自动识别隐私政策中三种问题的新方法。在解决了几个具有挑战性的问题之后,我们在一个名为PPChecker的系统中实现了我们的方法,并使用真实的应用程序和隐私政策对其进行了评估。实验结果表明,PPChecker能够有效地识别出有问题的隐私策略,且准确率较高。此外,将PPChecker应用于1197个流行应用程序,我们发现282个应用程序(即23.6%)至少存在一种问题。这项研究为改进和规范应用程序隐私政策的研究提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can We Trust the Privacy Policies of Android Apps?
Recent years have witnessed the sharp increase of malicious apps that steal users' personal information. To address users' concerns about privacy risks, more and more apps are accompanied with privacy policies written in natural language because it is difficult for users to infer an app's behaviors according to the required permissions. However, little is known whether these privacy policies are trustworthy or not. It is worth noting that a questionable privacy policy may result from careless preparation by an app developer or intentional deception by an attacker. In this paper, we conduct the first systematic study on privacy policy by proposing a novel approach to automatically identify three kinds of problems in privacy policy. After tackling several challenging issues, we realize our approach in a system, named PPChecker, and evaluate it with real apps and privacy policies. The experimental results show that PPChecker can effectively identify questionable privacy policies with high precision. Moreover, applying PPChecker to 1,197 popular apps, we found that 282 apps (i.e., 23.6%) have at least one kind of problems. This study sheds light on the research of improving and regulating apps' privacy policies.
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