Universiti Teknologi Malaysia Institutional Repository

A review of technique to self-generate DDoS dataset

Jaafar, G. A. and Abdullah, S. M. and Adli, S. (2019) A review of technique to self-generate DDoS dataset. International Journal of Advanced Trends in Computer Science and Engineering, 8 (4). pp. 1630-1638. ISSN 2278-3091

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Official URL: http://dx.doi.org/10.30534/ijatcse/2019/88842019


Application Layer Distributed Denial of Service (DDoS) attacks are very challenging to detect and the most common and renowned application layer attack is HTTP flooding. There several approaches adopted by past studies to acquire the dataset such publicly download from and Internet and self-generate by utilizing attack script. Use of old dataset should be prevented as it led to meaningless result. The current available application layer DDoS dataset is obsolete. Furthermore, the latest dataset is not publicly available due to security issue. Hence, DDoS researchers have to move to other atmosphere in order to obtain the latest dataset for DDoS attack execute at application layer. A few attack scripts publicly available which allow researcher to utilize. The attack script requires to work together with actual devices such as a set of computers, web server and other related network devices to create experimental lab. Execution of the attack script also need to pay attention as different attack script utilize different command to run. This paper reviewed 12 techniques utilize by prior studies to self-generate dataset. A summary of each technique is summarized in table view, along with in-depth critical analysis, for future studies to self-generate dataset in conducting DDoS experiment.

Item Type:Article
Uncontrolled Keywords:application layer DDoS, dataset, DDoS
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90649
Deposited By: Narimah Nawil
Deposited On:30 Apr 2021 07:28
Last Modified:30 Apr 2021 07:28

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