Systematic literature review and taxonomy for DDoS attack detection and prediction

Distributed denial of service (DDoS) attack has been significantly discussed in the computer security domain, particularly due to the damaging effects it causes to organisations’ assets. However, it confronts the challenge under massive growth of internet user traffic and lightning speed of computer...

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Main Authors: Yusof, Ahmad Riza’ain, Udzir, Nur Izura, Selamat, Ali
Format: Article
Language:English
Published: Inderscience Publishers 2019
Online Access:http://psasir.upm.edu.my/id/eprint/82127/1/Systematic%20literature%20review%20.pdf
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author Yusof, Ahmad Riza’ain
Udzir, Nur Izura
Selamat, Ali
author_facet Yusof, Ahmad Riza’ain
Udzir, Nur Izura
Selamat, Ali
author_sort Yusof, Ahmad Riza’ain
collection UPM
description Distributed denial of service (DDoS) attack has been significantly discussed in the computer security domain, particularly due to the damaging effects it causes to organisations’ assets. However, it confronts the challenge under massive growth of internet user traffic and lightning speed of computer access. In this paper, we present a comprehensive systematic literature review and measurement analysis of the DDoS impact, including: a) DDoS definition; b) types of DDoS attack; c) various types of existing DDoS detecting techniques; d) different kinds of DDoS attack prediction techniques.Furthermore, this paper provides an in-depth analysis the advantages and the drawbacks of existing DDoS detection and prediction technique to assist for both academia and industry researchers towards produce better DDoS detection and prediction mechanism.
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spelling upm.eprints-821272021-09-08T11:13:11Z http://psasir.upm.edu.my/id/eprint/82127/ Systematic literature review and taxonomy for DDoS attack detection and prediction Yusof, Ahmad Riza’ain Udzir, Nur Izura Selamat, Ali Distributed denial of service (DDoS) attack has been significantly discussed in the computer security domain, particularly due to the damaging effects it causes to organisations’ assets. However, it confronts the challenge under massive growth of internet user traffic and lightning speed of computer access. In this paper, we present a comprehensive systematic literature review and measurement analysis of the DDoS impact, including: a) DDoS definition; b) types of DDoS attack; c) various types of existing DDoS detecting techniques; d) different kinds of DDoS attack prediction techniques.Furthermore, this paper provides an in-depth analysis the advantages and the drawbacks of existing DDoS detection and prediction technique to assist for both academia and industry researchers towards produce better DDoS detection and prediction mechanism. Inderscience Publishers 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82127/1/Systematic%20literature%20review%20.pdf Yusof, Ahmad Riza’ain and Udzir, Nur Izura and Selamat, Ali (2019) Systematic literature review and taxonomy for DDoS attack detection and prediction. International Journal of Digital Enterprise Technology, 1 (3). pp. 292-315. ISSN 1756-2554; ESSN: 1756-2562 https://www.inderscience.com/info/inarticle.php?artid=97849 10.1504/IJDET.2019.097849
spellingShingle Yusof, Ahmad Riza’ain
Udzir, Nur Izura
Selamat, Ali
Systematic literature review and taxonomy for DDoS attack detection and prediction
title Systematic literature review and taxonomy for DDoS attack detection and prediction
title_full Systematic literature review and taxonomy for DDoS attack detection and prediction
title_fullStr Systematic literature review and taxonomy for DDoS attack detection and prediction
title_full_unstemmed Systematic literature review and taxonomy for DDoS attack detection and prediction
title_short Systematic literature review and taxonomy for DDoS attack detection and prediction
title_sort systematic literature review and taxonomy for ddos attack detection and prediction
url http://psasir.upm.edu.my/id/eprint/82127/1/Systematic%20literature%20review%20.pdf
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