Anomaly analysis on an open DNS dataset1

Benjamin Aziz, N Menychtas , Ammar Al Bazi

Research output: Contribution to journalArticle

2 Downloads (Pure)

Abstract

Theincreasingavailabilityofopendataandthedemandtounderstandbetterthenature 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
Number of pages7
JournalPeerJ Preprints
DOIs
Publication statusPublished - 14 Aug 2018

Fingerprint

anomalies
causes

Bibliographical note

PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27116v1 | CC BY 4.0 Open Access | rec: 14 Aug 2018, publ: 14 Aug 2018

Cite this

Anomaly analysis on an open DNS dataset1. / Aziz, Benjamin ; Menychtas , N; Al Bazi, Ammar.

In: PeerJ Preprints, 14.08.2018.

Research output: Contribution to journalArticle

@article{2418dcb07f4c4bb6a022700cf7269324,
title = "Anomaly analysis on an open DNS dataset1",
abstract = "Theincreasingavailabilityofopendataandthedemandtounderstandbetterthenature 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.",
author = "Benjamin Aziz and N Menychtas and {Al Bazi}, Ammar",
note = "PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27116v1 | CC BY 4.0 Open Access | rec: 14 Aug 2018, publ: 14 Aug 2018",
year = "2018",
month = "8",
day = "14",
doi = "10.7287/peerj.preprints.27116v1",
language = "English",
journal = "PeerJ Preprints",

}

TY - JOUR

T1 - Anomaly analysis on an open DNS dataset1

AU - Aziz, Benjamin

AU - Menychtas , N

AU - Al Bazi, Ammar

N1 - PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27116v1 | CC BY 4.0 Open Access | rec: 14 Aug 2018, publ: 14 Aug 2018

PY - 2018/8/14

Y1 - 2018/8/14

N2 - Theincreasingavailabilityofopendataandthedemandtounderstandbetterthenature 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.

AB - Theincreasingavailabilityofopendataandthedemandtounderstandbetterthenature 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.

U2 - 10.7287/peerj.preprints.27116v1

DO - 10.7287/peerj.preprints.27116v1

M3 - Article

JO - PeerJ Preprints

JF - PeerJ Preprints

ER -