RT Journal Article T1 Measuring the global recursive DNS infrastructure: a view from the edge A1 Callejo Pinardo, Patricia A1 Cuevas Rumín, Rubén A1 Vallina-Rodriguez, Narseo A1 Cuevas Rumín, Ángel AB The Domain Name System (DNS) is one of the most critical Internet subsystems. While themajority of ISPs deploy and operate their own DNS infrastructure, many end users resort to third-party DNSproviders with hopes of enhancing their privacy, security, and web performance. However, bad user choicesand the uneven geographical deployment of DNS providers could render insecure and inef cient DNScon gurations for millions of users. In this paper, we propose a novel and exible measurement method to(1) study the infrastructure of recursive DNS resolvers, including both ISP's and third-party DNS providers'deployment strategies; and (2) study end-user DNS choices, both in a timely manner and at a global scale. Forthat, we leverage the outreach capacity of online advertising networks to distribute lightweight JavaScriptbasedDNS measurement scripts. To showcase the potential of our technique, we launch two separate adcampaigns that triggered more than 3M DNS lookups, which allow us to identify and study more than76k recursive DNS resolvers giving support to more than 25k eyeball ASes in 178 countries. The analysisof the data offers new insights into the DNS infrastructure, such as user preferences towards third-partyDNS providers (namely, Google, OpenDNS, Level3, and Cloud are recursive DNS resolvers account for~13% of the total DNS requests triggered by our campaigns), and into deployment decisions of many ISPsproviding both mobile and xed access networks to separate the DNS infrastructure serving each type ofaccess technology. PB Institute of Electrical and Electronics Engineers SN 2169-3536 YR 2019 FD 2019-10-29 LK https://hdl.handle.net/10016/35241 UL https://hdl.handle.net/10016/35241 LA eng NO This work was supported in part by the Spanish Grant TIN2017-88749-R (DiscoEdge), in part by the Region of Madrid EdgeData-CMProgram under Grant P2018/TCS-4499, in part by the Ministerio de Economía y Empresa, Spain, under Project TEC2016-76795-C6-3-Rand Grant RyC-2015-17732, and in part by the European H2020 Project SMOOTH under Grant 786741. DS e-Archivo RD 19 may. 2024