K-resolver: Towards Decentralizing Encrypted DNS Resolution

K-resolver: Towards Decentralizing Encrypted DNS Resolution
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K-resolver:走向去中心化加密 DNS 解析

DOI:
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发表时间:
2020
期刊:
Proceedings 2020 Workshop on Measurements, Attacks, and Defenses for the Web
影响因子:
--
通讯作者:
M. Polychronakis
M. Polychronakis
中科院分区:
--
文献类型:
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作者:
Nguyen Phong Hoang;Ivan Lin;Seyedhamed Ghavamnia;M. Polychronakis

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HTTPS/TLS(DoH/DoT)解析的集中式DNS已开始由主要托管提供商和Web浏览器部署,由于几个隐私问题,引发了互联网活动家和隐私倡导者的争议。此设计决策会导致所有DNS解析的跟踪暴露给第三方解析器,而不是用户访问网络指定的解析器。在这项工作中,我们提出了K-解析器,一个DNS解析机制,分散DNS查询多个DoH解析器,减少暴露给每个单独的解析器的用户的浏览活动的信息量。因此,没有一个解析器可以学习用户的整个Web浏览历史。我们已经实现了一个原型的Mozilla Firefox的方法,并使用它来评估网页加载时间的性能相比,默认的集中式DoH的方法。虽然我们的K-解析器机制对DNS解析时间和网页加载时间有一定的影响,但我们表明,这主要是由于所选DoH服务器的地理位置。当更多配置良好的任播服务器可用时,我们的方法在提高用户隐私的同时产生的开销可以忽略不计。
Centralized DNS over HTTPS/TLS (DoH/DoT) resolution, which has started being deployed by major hosting providers and web browsers, has sparked controversy among Internet activists and privacy advocates due to several privacy concerns. This design decision causes the trace of all DNS resolutions to be exposed to a third-party resolver, different than the one specified by the user's access network. In this work we propose K-resolver, a DNS resolution mechanism that disperses DNS queries across multiple DoH resolvers, reducing the amount of information about a user's browsing activity exposed to each individual resolver. As a result, none of the resolvers can learn a user's entire web browsing history. We have implemented a prototype of our approach for Mozilla Firefox, and used it to evaluate the performance of web page load time compared to the default centralized DoH approach. While our K-resolver mechanism has some effect on DNS resolution time and web page load time, we show that this is mainly due to the geographical location of the selected DoH servers. When more well-provisioned anycast servers are available, our approach incurs negligible overhead while improving user privacy.
DOI: 10.1109/sp40000.2020.00014
发表时间: 2019-07
期刊: 2020 IEEE Symposium on Security and Privacy (SP)
影响因子: --
作者:
Arian Akhavan Niaki;Shinyoung Cho;Zachary Weinberg;Nguyen Phong Hoang;Abbas Razaghpanah;Nicolas Christin;Phillipa Gill
通讯作者: Arian Akhavan Niaki;Shinyoung Cho;Zachary Weinberg;Nguyen Phong Hoang;Abbas Razaghpanah;Nicolas Christin;Phillipa Gill
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发表时间: 2007
影响因子: 3.2
作者:
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