Towards Developing a Robust Intrusion Detection Model Using Hadoop–Spark and Data Augmentation for IoT Networks †

In recent years, anomaly detection and machine learning for intrusion detection systems have been used to detect anomalies on Internet of Things networks. These systems rely on machine and deep learning to improve the detection accuracy. However, the robustness of the model depends on the number of...

Descripción completa

Detalles Bibliográficos
Autores principales: Manzano Sanchez, Ricardo Alejandro, Zaman, Marzia, Goel, Nishith, Naik, Kshirasagar, Joshi, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608938/
https://www.ncbi.nlm.nih.gov/pubmed/36298077
http://dx.doi.org/10.3390/s22207726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608938/
https://www.ncbi.nlm.nih.gov/pubmed/36298077
http://dx.doi.org/10.3390/s22207726

Ejemplares similares