The One-Page Setting: A Higher Standard for Evaluating Website Fingerprinting Defenses

Tao Wang
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引用次数: 8

Abstract

To defeat Website Fingerprinting (WF) attacks that threaten privacy on anonymity technologies such as Tor, defenses have been proposed and evaluated under the multi-page setting. The multi-page setting was designed as a difficult setting for the attacker and therefore gives too much of an advantage to the defense, allowing weak defenses to show success. We argue that all WF defenses should instead be evaluated under the one-page setting so that the defender needs to meet a higher standard of success. Evaluating known WF defenses under the one-page setting, we found that Decoy, Front and Tamaraw all failed to defend against WF attacks. None of these defenses were shown to be vulnerable in previous work. In Tamaraw's case, the attacker's TPR increases 13 times from 2.9% to 37% with 4.4% FPR; he can also achieve 91% TPR and 21% FPR. We also found that these attacks were able to succeed in a wide array of newly defined WF scenarios that could not be captured by the standard laboratory scenario. In response, we create the first defense that is strong enough for the one-page setting by augmenting Tamaraw with greater randomization overhead so that its anonymity sets are more evenly dispersed.
单页设置:评估网站指纹防御的更高标准
为了打败威胁匿名技术(如Tor)隐私的网站指纹(WF)攻击,已经提出并评估了在多页面设置下的防御措施。多页的设置对于攻击者来说是一个困难的设置,因此给防御者提供了太多的优势,使弱防御者能够显示出成功。我们认为所有的WF防御都应该在一页的设置下进行评估,这样防御者就需要达到更高的成功标准。在一页设置下评估已知的WF防御,我们发现Decoy, Front和Tamaraw都无法防御WF攻击。在以前的研究中,这些防御措施都没有被证明是脆弱的。在塔玛罗的案例中,攻击者的TPR增加了13倍,从2.9%增加到37%,FPR为4.4%;他还可以达到91%的TPR和21%的FPR。我们还发现,这些攻击能够在一系列新定义的WF场景中取得成功,而标准实验室场景无法捕获这些攻击。作为回应,我们通过增加Tamaraw更大的随机化开销来创建第一个足够强大的单页设置防御,以便其匿名集更均匀地分散。
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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