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Attacking Suggest Boxes in Web Applications Over HTTPS Using Side-Channel Stochastic Algorithms

机译:使用侧通道随机算法通过HTTPS攻击Web应用程序中的建议框

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Web applications are subject to several types of attacks. In particular, side-channel attacks consist in performing a statistical analysis of the web traffic to gain sensitive information about a client. In this paper, we investigate how side-channel leaks can be used on search engines such as Google or Bing to retrieve the client's search query. In contrast to previous works, due to payload randomization and compression, it is not always possible to uniquely map a search query to a web traffic signature and hence stochastic algorithms must be used. They yield, for the French language, an exact recovery of search word in more than 30% of the cases. Finally, we present some methods to mitigate such side-channel leaks.
机译:Web应用程序会遭受几种类型的攻击。尤其是,边信道攻击在于对Web流量进行统计分析,以获得有关客户端的敏感信息。在本文中,我们研究了如何在搜索引擎(例如Google或Bing)上使用侧渠道泄漏来检索客户端的搜索查询。与以前的工作相比,由于有效载荷随机化和压缩,并非总是能够将搜索查询唯一地映射到网络流量签名,因此必须使用随机算法。对于法语,它们可以在30%以上的情况下准确恢复搜索词。最后,我们提出了一些减轻此类侧通道泄漏的方法。

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