Cloud Based Big Data DNS Analytics at Turknet

Altan Çakır; Yousef Alkhanafseh; Esra Karabıyık; Erhan Kurubaş; Rabia Burcu Bunyak; Cenk Anıl Bahçevan

doi:10.1007/978-3-030-51156-2_96

Cloud Based Big Data DNS Analytics at Turknet

Altan Çakır, Yousef Alkhanafseh, Esra Karabıyık^*, Erhan Kurubaş, Rabia Burcu Bunyak, Cenk Anıl Bahçevan

^*Corresponding author for this work

Department of Physics Engineering

Turknet İletişim Hizmetleri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Domain Name System (DNS) is a hierarchical distributed naming system for computers, services, or any resource connected to the Internet. A DNS resolves queries for URLs into IP addresses for the purpose of locating computer services and devices worldwide. As of now, analytical applications with a vast amount of DNS data are a challenging problem. Clustering the features of domain traffic from a DNS data has given necessity to the need for more sophisticated analytics platforms and tools because of the sensitivity of the data characterization. In this study, a cloud based big data application, based on Apache Spark, on DNS data is proposed, as well as a periodic trend pattern based on traffic to partition numerous domain names and region into separate groups by the characteristics of their query traffic time series. Preliminary experimental results on a Turknet DNS data in daily operations are discussed with business intelligence applications.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	833-841
Number of pages	9
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_96
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Amazon Elastic MapReduce (EMR)
Amazon Web Service (AWS)
Apache Spark
Big data
Data analysis
Domain Name System (DNS)

Access to Document

10.1007/978-3-030-51156-2_96

Cite this

Çakır, A., Alkhanafseh, Y., Karabıyık, E., Kurubaş, E., Bunyak, R. B., & Bahçevan, C. A. (2021). Cloud Based Big Data DNS Analytics at Turknet. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 833-841). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_96

Çakır, Altan ; Alkhanafseh, Yousef ; Karabıyık, Esra et al. / Cloud Based Big Data DNS Analytics at Turknet. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 833-841 (Advances in Intelligent Systems and Computing).

@inproceedings{f53e34fedaea495cad1caaf9e1c389e0,

title = "Cloud Based Big Data DNS Analytics at Turknet",

abstract = "Domain Name System (DNS) is a hierarchical distributed naming system for computers, services, or any resource connected to the Internet. A DNS resolves queries for URLs into IP addresses for the purpose of locating computer services and devices worldwide. As of now, analytical applications with a vast amount of DNS data are a challenging problem. Clustering the features of domain traffic from a DNS data has given necessity to the need for more sophisticated analytics platforms and tools because of the sensitivity of the data characterization. In this study, a cloud based big data application, based on Apache Spark, on DNS data is proposed, as well as a periodic trend pattern based on traffic to partition numerous domain names and region into separate groups by the characteristics of their query traffic time series. Preliminary experimental results on a Turknet DNS data in daily operations are discussed with business intelligence applications.",

keywords = "Amazon Elastic MapReduce (EMR), Amazon Web Service (AWS), Apache Spark, Big data, Data analysis, Domain Name System (DNS)",

author = "Altan {\c C}akır and Yousef Alkhanafseh and Esra Karabıyık and Erhan Kuruba{\c s} and Bunyak, {Rabia Burcu} and Bah{\c c}evan, {Cenk Anıl}",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

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language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "833--841",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and Tolga, {A. Cagri}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

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Çakır, A, Alkhanafseh, Y, Karabıyık, E, Kurubaş, E, Bunyak, RB & Bahçevan, CA 2021, Cloud Based Big Data DNS Analytics at Turknet. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 833-841, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_96

Cloud Based Big Data DNS Analytics at Turknet. / Çakır, Altan; Alkhanafseh, Yousef; Karabıyık, Esra et al.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 833-841 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cloud Based Big Data DNS Analytics at Turknet

AU - Çakır, Altan

AU - Alkhanafseh, Yousef

AU - Karabıyık, Esra

AU - Kurubaş, Erhan

AU - Bunyak, Rabia Burcu

AU - Bahçevan, Cenk Anıl

PY - 2021

Y1 - 2021

N2 - Domain Name System (DNS) is a hierarchical distributed naming system for computers, services, or any resource connected to the Internet. A DNS resolves queries for URLs into IP addresses for the purpose of locating computer services and devices worldwide. As of now, analytical applications with a vast amount of DNS data are a challenging problem. Clustering the features of domain traffic from a DNS data has given necessity to the need for more sophisticated analytics platforms and tools because of the sensitivity of the data characterization. In this study, a cloud based big data application, based on Apache Spark, on DNS data is proposed, as well as a periodic trend pattern based on traffic to partition numerous domain names and region into separate groups by the characteristics of their query traffic time series. Preliminary experimental results on a Turknet DNS data in daily operations are discussed with business intelligence applications.

AB - Domain Name System (DNS) is a hierarchical distributed naming system for computers, services, or any resource connected to the Internet. A DNS resolves queries for URLs into IP addresses for the purpose of locating computer services and devices worldwide. As of now, analytical applications with a vast amount of DNS data are a challenging problem. Clustering the features of domain traffic from a DNS data has given necessity to the need for more sophisticated analytics platforms and tools because of the sensitivity of the data characterization. In this study, a cloud based big data application, based on Apache Spark, on DNS data is proposed, as well as a periodic trend pattern based on traffic to partition numerous domain names and region into separate groups by the characteristics of their query traffic time series. Preliminary experimental results on a Turknet DNS data in daily operations are discussed with business intelligence applications.

KW - Amazon Elastic MapReduce (EMR)

KW - Amazon Web Service (AWS)

KW - Apache Spark

KW - Big data

KW - Data analysis

KW - Domain Name System (DNS)

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DO - 10.1007/978-3-030-51156-2_96

M3 - Conference contribution

AN - SCOPUS:85088748667

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 833

EP - 841

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Çakır A, Alkhanafseh Y, Karabıyık E, Kurubaş E, Bunyak RB, Bahçevan CA. Cloud Based Big Data DNS Analytics at Turknet. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 833-841. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_96

Cloud Based Big Data DNS Analytics at Turknet

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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