Cargando…
CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks
The Internet of Things (IoT) has brought significant advancements that have connected our world more closely than ever before. However, the growing number of connected devices has also increased the vulnerability of IoT networks to several types of attacks. In this paper, we present an approach for...
Autores principales: | Alabsi, Basim Ahmad, Anbar, Mohammed, Rihan, Shaza Dawood Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384372/ https://www.ncbi.nlm.nih.gov/pubmed/37514801 http://dx.doi.org/10.3390/s23146507 |
Ejemplares similares
-
Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks
por: Rihan, Shaza Dawood Ahmed, et al.
Publicado: (2023) -
Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks
por: Alabsi, Basim Ahmad, et al.
Publicado: (2023) -
Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models
por: Rihan , Shaza Dawood Ahmed, et al.
Publicado: (2023) -
Top Quark Tagging Using Convolutional Neural Network (CNN)
por: Beshr, Aya
Publicado: (2019) -
CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction
por: Al-Ajlan, Amani, et al.
Publicado: (2018)