My Friend Leaks My Privacy: Modeling and Analyzing Privacy in Social Networks

Lingjing Yu, Sri Mounica Motipalli, Dongwon Lee, Peng Liu, Heng Xu, Qingyun Liu, Jianlong Tan, Bo Luo
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引用次数: 28

Abstract

With the dramatically increasing participation in online social networks (OSNs), huge amount of private information becomes available on such sites. It is critical to preserve users' privacy without preventing them from socialization and sharing. Unfortunately, existing solutions fall short meeting such requirements. We argue that the key component of OSN privacy protection is protecting (sensitive) content -- privacy as having the ability to control information dissemination. We follow the concepts of private information boundaries and restricted access and limited control to introduce a social circle model. We articulate the formal constructs of this model and the desired properties for privacy protection in the model. We show that the social circle model is efficient yet practical, which provides certain level of privacy protection capabilities to users, while still facilitates socialization. We then utilize this model to analyze the most popular social network platforms on the Internet (Facebook, Google+, WeChat, etc), and demonstrate the potential privacy vulnerabilities in some social networks. Finally, we discuss the implications of the analysis, and possible future directions.
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我的朋友泄露了我的隐私:社交网络中的隐私建模与分析
随着在线社交网络(OSNs)的参与急剧增加,大量的私人信息可以在这些网站上获得。在不阻止用户进行社交和分享的情况下保护他们的隐私至关重要。不幸的是,现有的解决方案无法满足这些需求。我们认为OSN隐私保护的关键部分是保护(敏感)内容——隐私具有控制信息传播的能力。我们遵循私人信息边界和限制访问和限制控制的概念,引入社交圈模型。我们阐明了该模型的形式化构造和模型中隐私保护所需的属性。我们证明了社交圈模式是高效且实用的,在为用户提供一定程度的隐私保护能力的同时,仍然有利于社交。然后,我们利用该模型分析了互联网上最流行的社交网络平台(Facebook,谷歌+,微信等),并展示了一些社交网络中潜在的隐私漏洞。最后,我们讨论了分析的意义,以及可能的未来方向。
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