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A comprehensive study of distributed Denial-of-Service attack with the detection techniques

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 4 (2020)

DOI
10.11591/ijece.v10i4.pp3685-3694
ISSN
2722-2578, 2088-8708
Published
2020-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

With the dramatic evolution in networks nowadays, an equivalent growth of challenges has been depicted toward implementing and deployment of such networks. One of the serious challenges is the security where wide range of attacks would threat these networks. Denial-of-Service (DoS) is one of the common attacks that targets several types of networks in which a huge amount of information is being flooded into a specific server for the purpose of turning of such server. Many research studies have examined the simulation of networks in order to observe the behavior of DoS. However, the variety of its types hinders the process of configuring the DoS attacks. In particular, the Distributed DoS (DDoS) is considered to be the most challenging threat to various networks. Hence, this paper aims to accommodate a comprehensive simulation in order to figure out and detect DDoS attacks. Using the well-known simulator technique of NS-2, the experiments showed that different types of DDoS have been characterized, examined and detected. This implies the efficacy of the comprehensive simulation proposed by this study.

Collaboration network of the authors

16 authors · 62 co-authorship links · 37 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Tun Hussein Onn University of Malaysia
  • National University of Malaysia
  • Iraq University College
  • University of Basrah
  • Al-Nisour University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
A. E. HamzaTun Hussein Onn University of Malaysia7
Lukman Audah‏Tun Hussein Onn University of Malaysia4
Sara Ali AlwashAl-Nisour University4
Mahmoud Muhanad FadhelNational University of Malaysia4
H. A. SaeedTun Hussein Onn University of Malaysia4
M. I. HamzahTun Hussein Onn University of Malaysia3
Ali M. JasimIraq University College1
Ethar Habeeb JasemIraq University College1
Raed Hasan SaihoodIraq University College1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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