Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions

The past few years have witnessed a substantial increase in cyberattacks on Internet of Things (IoT) devices and their networks. Such attacks pose a significant threat to organizational security and user privacy. Utilizing Machine Learning (ML) in Intrusion Detection Systems (NIDS) has proven advant...

Descripción completa

Detalles Bibliográficos
Autores principales: Awad, Mohammed, Fraihat, Salam, Salameh, Khouloud, Al Redhaei, Aneesa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412997/
https://www.ncbi.nlm.nih.gov/pubmed/36015924
http://dx.doi.org/10.3390/s22166164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412997/
https://www.ncbi.nlm.nih.gov/pubmed/36015924
http://dx.doi.org/10.3390/s22166164

Ejemplares similares