Anomaly analysis on an open DNS dataset

Benjamin Aziz, Nikolaos Menychtas, Ammar Al-Bazi

Research output: Contribution to specialist publicationArticle

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Abstract

The increasing availability of open data and the demand to understand better the nature of anomalies and the causes underlying them in modern systems is encouraging researchers to analyse open datasets in various ways. These include both quantitative and qualitative methods. We show here how quantitative methods, such as timeline, local averages and exponentially weighted moving average analyses, led in this work to the discovery of three anomalies in a large open DNS dataset published by the Los Alamos National Laboratory.
Original languageEnglish
Specialist publicationPeerJ Preprints
DOIs
Publication statusPublished - 14 Aug 2018

Keywords

  • Data Analysis
  • Cyber Security
  • DNS
  • EWMA

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