A DDoS Detection Method Based on Feature Engineering and Machine Learning in Software-Defined Networks

Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to software-defined networks (SDNs). This paper proposes a feature-engineering- and machine-learning-based approach to detect DDoS attacks in SDNs. First, the CSE-CIC-IDS2018 dataset was cleaned and normalized, and...

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Detalles Bibliográficos
Autores principales: Liu, Zhenpeng, Wang, Yihang, Feng, Fan, Liu, Yifan, Li, Zelin, Shan, Yawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346601/
https://www.ncbi.nlm.nih.gov/pubmed/37448025
http://dx.doi.org/10.3390/s23136176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346601/
https://www.ncbi.nlm.nih.gov/pubmed/37448025
http://dx.doi.org/10.3390/s23136176

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