在线社交网络中与用户画像相关的隐私威胁

Fredrik Erlandsson, Martin Boldt, H. Johnson
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引用次数: 27

摘要

在线社交网络(osn)的流行增加了用户配置文件和用户之间进行的交互的可见性。本文构建了与osn相关的不同隐私威胁,并描述了六种不同类型的隐私威胁。其中一个威胁名为公共信息收集(public information harvesting),以前没有记录过,因此我们将通过展示该威胁的概念验证实现的结果来进一步详细介绍它。攻击的基础是收集Facebook上各种开放群组的用户互动,然后将其转换为社交互动图。由于从OSN收集的数据来自开放组,因此可以由连接到互联网的任何第三方独立于用户的隐私设置执行。除了介绍不同的隐私威胁,我们还提出了一系列不同的保护技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Threats Related to User Profiling in Online Social Networks
The popularity of Online Social Networks (OSNs) has increased the visibility of users profiles and interactions performed between users. In this paper we structure different privacy threats related to OSNs and describe six different types of privacy threats. One of these threats, named public information harvesting, is previously not documented so we therefore present it in further detail by also presenting the results from a proof-of-concept implementation of that threat. The basis of the attack is gathering of user interactions from various open groups on Facebook which then is transformed into a social interaction graph. Since the data gathered from the OSN originates from open groups it could be executed by any third-party connected to the Internet independently of the users' privacy settings. In addition to presenting the different privacy threats we also we propose a range of different protection techniques.
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