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...

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Hlavní autoři:	Fray L. Becerra-Suarez, Ismael Fernández-Roman, Manuel G. Forero
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-04-01
Edice:	Mathematics
Témata:	cybersecurity DDoS attacks CICDDoS2019 dataset attack detection data preprocessing feature selection
On-line přístup:	https://www.mdpi.com/2227-7390/12/9/1294
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