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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Mahmood A. Al-Shareeda
Universiti Sains Malaysia
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison Mahmood A. Al-Shareeda; Selvakumar Manickam; Murtaja Ali Saare
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4466

Abstract

The security of the internet is seriously threatened by a distributed denial of service (DDoS) attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users from using it by flooding the central server with a large number of messages or requests that will cause it to reach its capacity and shut down. Because it is carried out by numerous bots that are managed (infected) by a single botmaster using a fake IP address, this assault is dangerous because it does not involve a lot of work or special tools. For the purpose of identifying and analyzing DDoS attacks, this paper will discuss various machine learning (ML) and deep learning (DL) techniques. Additionally, this study analyses and comparatives the significant distinctions between ML and DL techniques to aid in determining when one of these techniques should be used.
Co-Authors Abdijalil Abdullahi Fu Zijie Murtaja Ali Saare Navaneethan C. Arjuman Selvakumar Manickam Shankar Karuppayah