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Anti-Aliasing on the Web

机译:在网上抗锯齿

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摘要

It is increasingly common for users to interact with the web using a number of different aliases. This trend is a doubleedged sword. On one hand, it is a fundamental building block in approaches to online privacy. On the other hand, there are economic and social consequences to allowing each user an arbitrary number of free aliases. Thus, there is great interest in understanding the fundamental issues in obscuring the identities behind aliases. However, most work in the area has focused on linking aliases through analysis of lower-level properties of interactions such as network routes. We show that aliases that actively post text on the web can be linked together through analysis of that text. We study a large number of users posting on bulletin boards, and develop algorithms to anti-alias those users: we can with a high degree of success identify when two aliases belong to the same individual. Our results show that such techniques are surprisingly e ective, leading us to conclude that guaranteeing privacy among aliases that post actively requires mechanisms that do not yet exist.
机译:用户越来越普遍使用许多不同的别名与Web交互。这一趋势是一种胆量的剑。一方面,它是在线隐私的方法中的基本构建块。另一方面,允许每个用户是任意数量的自由别名,存在经济和社会后果。因此,非常兴趣了解在掩盖别名背后的身份时的基本问题。然而,该地区的大多数工作都集中在通过分析网络路线等互动的分析来关联别名。我们展示了积极邮戳网上文本的别名可以通过分析该文本来链接在一起。我们研究了大量用户在公告板上发布,并开发算法以防止这些用户:当两个别名属于同一个人时,我们可以高度成功识别。我们的研究结果表明,这种技术令人惊讶的是,导致我们得出结论,保证别名之间的隐私,该局部的别名是经过积极地要求尚未存在的机制。

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