Investigating and Revealing Privacy Leaks in Mobile Application Traffic

Shuhui Chen, Shuang Zhao, Biao Han, Xiaoyan Wang
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引用次数: 3

Abstract

Mobile devices and applications are playing an important role in people’s daily activities. Although mobile application greatly enriches and facilitates the lives of its users, the users are unconsciously giving away their privacy. In this paper, a mobile traffic analysis tool is proposed to find out what private data is leaked from application network traffic. The analysis process has two steps, including capturing network traffic and analyzing privacy leakage. By applying this tool on traffic from 51 popular applications in China, we show that a lot of private information can be obtained by passively monitoring network traffic, such as location, device information, online behavior, and even personal password. Finally, the measures for mitigating the leakage of private user data are discussed.
调查和揭示移动应用程序流量中的隐私泄露
移动设备和应用程序在人们的日常活动中扮演着重要的角色。虽然手机应用极大地丰富和便利了用户的生活,但用户也在不知不觉中泄露了自己的隐私。本文提出了一种移动流量分析工具,用于检测应用网络流量中泄露的私有数据。分析过程分为两个步骤,捕获网络流量和分析隐私泄露。通过将该工具应用于中国51个流行应用程序的流量,我们发现通过被动监控网络流量可以获得大量私人信息,例如位置,设备信息,上网行为,甚至个人密码。最后,讨论了减少用户隐私数据泄露的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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