Publication:
Measuring the global recursive DNS infrastructure: a view from the edge

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorCallejo Pinardo, Patricia
dc.contributor.authorCuevas Rumín, Rubén
dc.contributor.authorVallina-Rodriguez, Narseo
dc.contributor.authorCuevas Rumín, Ángel
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderAgencia Estatal de Investigación (España)es
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2022-06-22T16:36:20Z
dc.date.available2022-06-22T16:36:20Z
dc.date.issued2019-10-29
dc.description.abstractThe Domain Name System (DNS) is one of the most critical Internet subsystems. While the majority of ISPs deploy and operate their own DNS infrastructure, many end users resort to third-party DNS providers with hopes of enhancing their privacy, security, and web performance. However, bad user choices and the uneven geographical deployment of DNS providers could render insecure and inef cient DNS con 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. For that, we leverage the outreach capacity of online advertising networks to distribute lightweight JavaScriptbased DNS measurement scripts. To showcase the potential of our technique, we launch two separate ad campaigns that triggered more than 3M DNS lookups, which allow us to identify and study more than 76k recursive DNS resolvers giving support to more than 25k eyeball ASes in 178 countries. The analysis of the data offers new insights into the DNS infrastructure, such as user preferences towards third-party DNS 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 ISPs providing both mobile and xed access networks to separate the DNS infrastructure serving each type of access technology.en
dc.description.sponsorshipThis work was supported in part by the Spanish Grant TIN2017-88749-R (DiscoEdge), in part by the Region of Madrid EdgeData-CM Program under Grant P2018/TCS-4499, in part by the Ministerio de Economía y Empresa, Spain, under Project TEC2016-76795-C6-3-R and Grant RyC-2015-17732, and in part by the European H2020 Project SMOOTH under Grant 786741.en
dc.identifier.bibliographicCitationCallejo, P., Cuevas, R., Vallina-Rodriguez, N., & Cuevas Rumin, A. (2019). Measuring the Global Recursive DNS Infrastructure: A View From the Edge. IEEE Access, 7, pp. 168020-168028.es
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2950325
dc.identifier.issn2169-3536
dc.identifier.publicationfirstpage168020es
dc.identifier.publicationlastpage168028es
dc.identifier.publicationtitleIEEE Accesses
dc.identifier.publicationvolume7es
dc.identifier.urihttps://hdl.handle.net/10016/35241
dc.identifier.uxxiAR/0000026095
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.projectIDGobierno de España. TEC2016-76795-C6-3-Res
dc.relation.projectIDGobierno de España. RYC-2015-17732es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/786741es
dc.relation.projectIDGobierno de España. TIN2017-88749-Res
dc.relation.projectIDGobierno de España. P2018/TCS4499es
dc.rights© The authorsen
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.otherInternet measurementsen
dc.subject.otherDNSen
dc.subject.otherOnline advertisementsen
dc.titleMeasuring the global recursive DNS infrastructure: a view from the edgeen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
measuring_IA_2019.pdf
Size:
6.04 MB
Format:
Adobe Portable Document Format