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ENTRADA: Enabling DNS big data applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

DNS operators, TLD registries, hosting providers, and other Internet operators are frequently faced with the same question: how to draw insights and knowledge from their respective network traffic data in order to improve their services, security, and operations? "Big data" processing solutions play a major role as an enabling platform in this sense, especially with the increasing growth of the volume of Internet traffic. With this in mind, we have developed and presented in a previous work ENTRADA, an open-source high-performance Hadoop-based data streaming warehouse designed to both ingest continuous streams of data and deliver interactive response times over large datasets, even in a small cluster. Whereas in the previous study we focused on the architecture and performance evaluation, in this paper we present a series of use cases and applications that cover phishing, botnets, email security, and visualizations. These applications can be directly used by DNS operators, TLD registries, and researchers to quickly analyze their network data and improve their services, security, and operations.

Original languageEnglish
Title of host publicationProceedings of the 2016 APWG Symposium on Electronic Crime Research, eCrime 2016
PublisherIEEE
Pages14-24
Number of pages11
ISBN (Electronic)9781509029228
DOIs
Publication statusPublished - 8 Jun 2016
Externally publishedYes
Event2016 APWG Symposium on Electronic Crime Research, eCrime 2016 - Toronto, Canada
Duration: 1 Jun 20163 Jun 2016

Publication series

NameeCrime Researchers Summit, eCrime
Volume2016-June
ISSN (Print)2159-1237
ISSN (Electronic)2159-1245

Conference

Conference2016 APWG Symposium on Electronic Crime Research, eCrime 2016
Abbreviated titleeCrime 2016
Country/TerritoryCanada
CityToronto
Period1/06/163/06/16

Keywords

  • n/a OA procedure

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