IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses

This paper surveys the deep learning (DL) approaches for intrusion-detection systems (IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps, weaknesses, and a neutral reference architecture. A comparative study of IDSs is provided, with a review of anomaly-based IDSs...

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Detalles Bibliográficos
Autores principales: Albulayhi, Khalid, Smadi, Abdallah A., Sheldon, Frederick T., Abercrombie, Robert K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512890/
https://www.ncbi.nlm.nih.gov/pubmed/34640752
http://dx.doi.org/10.3390/s21196432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512890/
https://www.ncbi.nlm.nih.gov/pubmed/34640752
http://dx.doi.org/10.3390/s21196432

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