论文标题
https的指纹搜索关键字大规模
Fingerprinting Search Keywords over HTTPS at Scale
论文作者
论文摘要
用户在流行的Web搜索引擎上发布的搜索关键字的指纹可能是对用户隐私的重大威胁。在网络流量分析文献中，这种威胁很少受到关注。在这项工作中，我们考虑了HTTPS流量关键字指纹的问题 - 我们研究了几个因素的影响，包括客户平台多样性，搜索引擎的选择，功能集以及分类框架。我们使用在三个月内收集的近400万次搜索查询进行封闭世界和开放世界评估。我们的分析揭示了对现代HTTPS流量中关键字指纹威胁的一些见解。
The possibility of fingerprinting the search keywords issued by a user on popular web search engines is a significant threat to user privacy. This threat has received surprisingly little attention in the network traffic analysis literature. In this work, we consider the problem of keyword fingerprinting of HTTPS traffic -- we study the impact of several factors, including client platform diversity, choice of search engine, feature sets as well as classification frameworks. We conduct both closed-world and open-world evaluations using nearly 4 million search queries collected over a period of three months. Our analysis reveals several insights into the threat of keyword fingerprinting in modern HTTPS traffic.
