Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing

The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a fundamental area of research to safeguard the integrity and functionality of organizations’ digital ecosystems. Despite the growing importance of neural networks in recent years, the use of classical techniques rem...

Full description

Bibliographic Details

Main Authors:	Fray L. Becerra-Suarez, Ismael Fernández-Roman, Manuel G. Forero
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-04-01
Series:	Mathematics
Subjects:	cybersecurity DDoS attacks CICDDoS2019 dataset attack detection data preprocessing feature selection
Online Access:	https://www.mdpi.com/2227-7390/12/9/1294
Tags:	Add Tag No Tags, Be the first to tag this record!