Cargando…
A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection
In recent times, there has been a huge upsurge in malicious attacks despite sophisticated technologies in digital network data transmission. This research proposes an innovative method that utilizes the forward-propagation workflow of the convolutional neural network (CNN) algorithm to detect malici...
Autores principales: | Balamurugan, Nagaiah Mohanan, Kannadasan, Raju, Alsharif, Mohammed H., Uthansakul, Peerapong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185481/ https://www.ncbi.nlm.nih.gov/pubmed/35684788 http://dx.doi.org/10.3390/s22114167 |
Ejemplares similares
-
A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm
por: Balamurugan, Nagaiah Mohanan, et al.
Publicado: (2022) -
Detection of malicious consumer interest packet with dynamic threshold values
por: Qureshi, Adnan Mahmood, et al.
Publicado: (2021) -
Malicious Network Behavior Detection Using Fusion of Packet Captures Files and Business Feature Data
por: He, Mingshu, et al.
Publicado: (2021) -
Malicious attack propagation and source identification
por: Jiang, Jiaojiao, et al.
Publicado: (2018) -
Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach
por: Deif, Mohanad A., et al.
Publicado: (2021)