无处不在的隐私:一个实用的上下文感知系统,以保护android智能手机的隐私

Hossein Ghasemi, A. Haghighat, M. Razazi, Saeed Sharifian
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引用次数: 0

摘要

即时通讯系统的出现增加了人们对侵犯隐私的担忧。虽然智能手机包含了大量的个人信息,但是他们的操作系统并没有提供一个完全符合隐私保护原则的系统。因此,需要为智能手机上的私人信息提供智能保护。拟议的系统应该能够检测哪些信息可以与其他用户共享,并在意外的敏感信息泄露的情况下发出警告。在本文中,我们提出了一个使用信息流跟踪技术的上下文感知实时系统,以保护具有上述属性的android智能手机上的隐私。该系统基于系统本身创建的社交网络中的用户关系来检测Android手机的隐私侵犯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pervasive privacy: A practical context-aware system to preserve privacy on android smartphones
Advent of instant messaging systems has increased the concerns about privacy violation. Although, smartphones contain a lot of personal information, their operating systems have not provided a complete compliance with privacy preserving principles. As a result, providing a smart guard for private information on smartphones is required. The proposed system should be able to detect which information could be shared with other users and warn in the case of unintended sensitive information leakages, as well. In this paper, we propose a context-aware real-time system to preserve privacy on android smartphones with mentioned properties using information flow tracking techniques. The proposed system detects privacy violation in Android phones based on users relations in a social network created by the system itself.
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