Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A Survey on Methods and Datasets of Intrusion Detection System (IDS) In Deep Learning
A Survey on Methods and Datasets of Intrusion Detection System (IDS) In Deep Learning
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
J Archana
,
Dr. A S Aneetha
Format:
Recurso digital
Published:
Zenodo
2023
Subjects:
intrusion detection systems
network security
Deep learning
real-time attackers. Introduction
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18277320
Similar Items
A Hybrid CNN-BiLSTM Model with Self-Attention for Network Intrusion Detection: Comparative Evaluation on the NSL-KDD Dataset
by: Dr. K. Sujatha
Published: (2025)
Evaluation of the WPA2-PSK wireless network security protocol using the Linset and Aircrack-ng tools
by: Alberto Acosta-López
Published: (2018)
Intrusion detection based on the artificial immune system
by: Danijela D. Potić
Published: (2020)
Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering
by: Chinta, Purna Chandra Rao, et al.
Published: (2025)
STATISTICAL AND MACHINE LEARNING APPROACHES FOR DETECTING ANOMALIES IN LARGE-VOLUME NETWORK TRAFFIC
by: Ozodbek Rakhmonov
Published: (2025)