A Lightweight Intelligent Network Intrusion Detection System Using One-Class Autoencoder and Ensemble Learning for IoT

Network intrusion detection technology is key to cybersecurity regarding the Internet of Things (IoT). The traditional intrusion detection system targeting Binary or Multi-Classification can detect known attacks, but it is difficult to resist unknown attacks (such as zero-day attacks). Unknown attac...

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Detalles Bibliográficos
Autores principales: Yao, Wenbin, Hu, Longcan, Hou, Yingying, Li, Xiaoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144792/
https://www.ncbi.nlm.nih.gov/pubmed/37112482
http://dx.doi.org/10.3390/s23084141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144792/
https://www.ncbi.nlm.nih.gov/pubmed/37112482
http://dx.doi.org/10.3390/s23084141

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