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
CNN-LSTM Hybrid Architecture for Accurate Network Intrusion Detection for Cybersecurity
CNN-LSTM Hybrid Architecture for Accurate Network Intrusion Detection for Cybersecurity
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Dinesh Rajendran
,
Vaibhav Maniar
,
Vetrivelan Tamilmani
,
Venkata Deepak Namburi
,
Aniruddha Arjun Singh Singh
,
Rami Reddy Kothamaram
Format:
Recurso digital
Published:
Zenodo
2023
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.17516985
Similar Items
Deep Learning Based CNN Model for Automated Detection of Pneumonia from Chest XRay Images
by: Anumula, Sathish Krishna, et al.
Published: (2026)
Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
by: Naeem, Amna, et al.
Published: (2025)
A Hybrid CNN-LSTM Deep Learning Model for Intrusion Detection in Smart Grid
by: Alsaiari, Abdulhakim, et al.
Published: (2025)
CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR
by: Padhya, Dinanath, et al.
Published: (2025)
Bearing Fault Diagnosis Using CNN-LSTM Hybrid Model For Predictive Maintenance
by: Kamalkishor Parihar, et al.
Published: (2026)