Pareto-optimal Defenses for the Web Infrastructure: Theory and Practice

Author:

Di Tizio Giorgio1ORCID,Speicher Patrick2ORCID,Simeonovski Milivoj3ORCID,Backes Michael2ORCID,Stock Ben2ORCID,Künnemann Robert2ORCID

Affiliation:

1. University of Trento, Trento, Italy

2. CISPA Helmholtz Center for Information Security, Stuhlsatzenhaus, Saarbrücken, Germany

3. Independent researcher

Abstract

The integrity of the content a user is exposed to when browsing the web relies on a plethora of non-web technologies and an infrastructure of interdependent hosts, communication technologies, and trust relations. Incidents like the Chinese Great Cannon or the MyEtherWallet attack make it painfully clear: the security of end users hinges on the security of the surrounding infrastructure: routing, DNS, content delivery, and the PKI. There are many competing, but isolated proposals to increase security, from the network up to the application layer. So far, researchers have focused on analyzing attacks and defenses on specific layers. We still lack an evaluation of how, given the status quo of the web, these proposals can be combined, how effective they are, and at what cost the increase of security comes. In this work, we propose a graph-based analysis based on Stackelberg planning that considers a rich attacker model and a multitude of proposals from IPsec to DNSSEC and SRI. Our threat model considers the security of billions of users against attackers ranging from small hacker groups to nation-state actors. Analyzing the infrastructure of the Top 5k Alexa domains, we discover that the security mechanisms currently deployed are ineffective and that some infrastructure providers have a comparable threat potential to nations. We find a considerable increase of security (up to 13% protected web visits) is possible at a relatively modest cost, due to the effectiveness of mitigations at the application and transport layer, which dominate expensive infrastructure enhancements such as DNSSEC and IPsec.

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,General Computer Science

Reference85 articles.

1. K. Afifi-Sabet. 2021. Google is Shifting YouTube Infrastructure to Google Cloud. Retrieved 7 November 2022 from https://www.itpro.co.uk/cloud/cloud-computing/359785/google-is-shifting-youtube-infrastructure-to-google-cloud.

2. Anonymous. 2014. Towards a comprehensive picture of the great firewall’s DNS censorship. In Proceedings of the 4th FOCI.

3. APNIC. 2014. DNSSEC Validation Rate by Country. Retrieved September 1 2021 from https://stats.labs.apnic.net/dnssec.

4. A. Barth and B. Sterne. 2015. Content Security Policy 1.0. Technical Report. W3C. Retrieved from http://www.w3.org/TR/2015/NOTE-CSP1-20150219/.

5. Chromium Blog. 2021. A Safer Default for Navigation: HTTPS. Retrieved 7 November 2022 from https://blog.chromium.org/2021/03/a-safer-default-for-navigation-https.html.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3