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Systematic literature review and taxonomy for DDoS attack detection and prediction


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


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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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1504/IJDET.2019.097849
Publisher: Inderscience Publishers
Keywords: Metadata; Distributed denial of services attack; DDoS; Intrusion detection system; DDoS attack prediction
Depositing User: Mr. Sazali Mohamad
Date Deposited: 08 Sep 2021 11:13
Last Modified: 08 Sep 2021 11:13
Altmetrics: http://www.altmetrics.com/details.php?domain=pasir.upm.edu.my&doi=10.1504/IJDET.2019.097849
URI: http://psasir.upm.edu.my/id/eprint/82127
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