Error-Robust Distributed Denial of Service Attack Detection Based on an Average Common Feature Extraction Technique

In recent years, advanced threats against Cyber–Physical Systems (CPSs), such as Distributed Denial of Service (DDoS) attacks, are increasing. Furthermore, traditional machine learning-based intrusion detection systems (IDSs) often fail to efficiently detect such attacks when corrupted datasets are...

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Detalles Bibliográficos
Autores principales: Abreu Maranhão, João Paulo, Carvalho Lustosa da Costa, João Paulo, Pignaton de Freitas, Edison, Javidi, Elnaz, Timóteo de Sousa Júnior, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602739/
https://www.ncbi.nlm.nih.gov/pubmed/33081079
http://dx.doi.org/10.3390/s20205845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602739/
https://www.ncbi.nlm.nih.gov/pubmed/33081079
http://dx.doi.org/10.3390/s20205845

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