International Journal of Innovations in Engineering and Technology (IJIET) - 2019 : Classification Algorithm Against Different Types of DDoS Attacks Using Hybrid Approach

Mohd Azahari Mohd Yusof and Fakariah Hani Mohd Ali and Mohamad Yusof Darus (2019) International Journal of Innovations in Engineering and Technology (IJIET) - 2019 : Classification Algorithm Against Different Types of DDoS Attacks Using Hybrid Approach. International Journal of Innovations in Engineering and Technology (IJIET), 14. pp. 137-144. ISSN 2319-1058

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Abstract

We know that today's security tools are still ineffective to detect the type of DDoS attack based on the behavior of incoming packets whether it's normal traffic or DDoS attack. When an attacker launches a DDoS attack, it will result in the target server being interrupted and inaccessible at that time even though we are legitimate users. In this paper, we propose a technique called Packet Threshold Algorithm (PTA) combined with some machine learning algorithms. This combined technique aims to detect incoming packets entering the network environment by classifying whether it is normal traffic or DDoS attack. The technique has been implemented, and it can improve the accuracy of detection while reducing the problem of false positive rate.

Item Type:	Article
Uncontrolled Keywords:	Distributed Denial of Service (DDoS), Packet Threshold Algorithm (PTA), machine learning, false positive rate.
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY1 UPTM
Date Deposited:	08 Sep 2025 01:14
Last Modified:	08 Sep 2025 01:14
URI:	http://eprints.kuptm.edu.my/id/eprint/5148

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