Intrusion Detection System Based on Fast Hierarchical Deep Convolutional Neural Network
Currently, with the increasing number of devices connected to the Internet, search for network vulnerabilities to attackers has increased, and protection systems have become indispensable. There are prevalent security attacks, such as the Distributed Denial of Service (DDoS), which have been causing...
Guardado en:
Autores principales: | Robson V. Mendonca, Arthur A. M. Teodoro, Renata L. Rosa, Muhammad Saadi, Dick Carrillo Melgarejo, Pedro H. J. Nardelli, Demostenes Z. Rodriguez |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/27435b6fa15045c1a516c66d26e484e3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System
por: Muhammad Nadeem, et al.
Publicado: (2021) -
Internet of Drones Intrusion Detection Using Deep Learning
por: Rabie A. Ramadan, et al.
Publicado: (2021) -
T-DFNN: An Incremental Learning Algorithm for Intrusion Detection Systems
por: Mahendra Data, et al.
Publicado: (2021) -
Intrusion detection based on the artificial immune system
por: Danijela D. Protić
Publicado: (2020) -
Auto-Tuned Event-Based Perception Scheme for Intrusion Monitoring With UAS
por: Juan Pablo Rodriguez-Gomez, et al.
Publicado: (2021)