Cargando…
ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks
The Internet of Things (IoT) has significantly benefited several businesses, but because of the volume and complexity of IoT systems, there are also new security issues. Intrusion detection systems (IDSs) guarantee both the security posture and defense against intrusions of IoT devices. IoT systems...
Autores principales: | Mahalingam, Anandaraj, Perumal, Ganeshkumar, Subburayalu, Gopalakrishnan, Albathan, Mubarak, Altameem, Abdullah, Almakki, Riyad Saleh, Hussain, Ayyaz, Abbas, Qaisar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575244/ https://www.ncbi.nlm.nih.gov/pubmed/37836874 http://dx.doi.org/10.3390/s23198044 |
Ejemplares similares
-
Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases
por: Abbas, Qaisar, et al.
Publicado: (2023) -
The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework
por: Fadel, Magdy M., et al.
Publicado: (2022) -
Generating Datasets for Anomaly-Based Intrusion Detection Systems in IoT and Industrial IoT Networks
por: Essop, Ismael, et al.
Publicado: (2021) -
IoT-based intrusion detection system using convolution neural networks
por: Aljumah, Abdullah
Publicado: (2021) -
Intrusion Detection in IoT Using Deep Learning
por: Banaamah, Alaa Mohammed, et al.
Publicado: (2022)