Cover Image

A Hybrid CNN-BiLSTM Model with Self-Attention for Network Intrusion Detection: Comparative Evaluation on the NSL-KDD Dataset

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Dr. K. Sujatha
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Subjects:	network intrusion detection, deep learning, CNN, BiLSTM, self-attention, NSL-KDD, cybersecurity, anomaly detection, classification, XGBoost
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blood Pressure Estimation from PPG Signals using a Hybrid CNN–BiLSTM Deep Learning Framework
by: Sharma, Arjun Kumar, et al.
Published: (2025)

REVIEW OF KDD CUP ‘99, NSL-KDD AND KYOTO 2006+ DATASETS
by: Danijela D. Protić
Published: (2018)

XAI Pipelines for Bankruptcy Prediction of Slovak Firms
by: Kovacs, Matej
Published: (2026)

Botnet Analytics for Cybersecurity of SCADA System and Critical National Infrastructure in Nigeria
by: Mission Franklin
Published: (2026)

Aplicación de GHSOM (Growing Hierarchical Self-Organizing Maps) a Sistemas de Detección de Intrusos (IDS)
by: Eduardo Miguel De la Hoz
Published: (2012)

A Survey on Methods and Datasets of Intrusion Detection System (IDS) In Deep Learning
by: J Archana, et al.
Published: (2023)

Intrusion detection based on the artificial immune system
by: Danijela D. Potić
Published: (2020)

A NOVEL IOT BASED PEST IDENTIFICATION AND CLASSIFICATION USING CNN AND LSTM
by: ARUNAPRIYA. R , Dr.S.P.VALLI
Published: (2026)

Dataset for: Predicting Original Malicious Code from Obfuscated Code Using Denoising AutoEncoders
by: Guven, Mesut
Published: (2026)

Deep Language Detection for Indian Code: A Context-Aware Deep Learning for Multilingual Content Classification
by: Yadav, Shraddha, et al.
Published: (2025)

Modelo de detección de intrusiones en sistemas de red, realizando selección de características con FDR y entrenamiento y clasificación con SOM
by: Emiro De la Hoz
Published: (2012)

Deep Learning–Based Clinical Decision Support System for Heart Disease Prediction Using ANN, CNN and RNN–LSTM
by: MD Samiulla, et al.
Published: (2025)

Privacy-preserving fitness recommendation system using modified seagull monarch butterfly optimized deep learning model
by: Esmita, Gupta, et al.
Published: (2026)

Measurement of sensitivity on vigilance experiments: Statistical consequences from the use of indices based on signal detection theory
by: Manuel J. Blanco
Published: (2001)

INFLUENCE OF PRE-PROCESSING ON ANOMALY-BASED INTRUSION DETECTION
by: Danijela D. Protić
Published: (2020)

Evaluation of the WPA2-PSK wireless network security protocol using the Linset and Aircrack-ng tools
by: Alberto Acosta-López
Published: (2018)

A novel rule generator for intrusion detection based on frequent subgraph mining
by: Vitalix Herrera-Semenets
Published: (2017)

Ethereum Transaction Datasets for Training and Evaluation LLMs, ML, and DL models.
by: Anonymous Author(s).
Published: (2025)

High-Precision Stock Market Forecasting with Hybrid CNN-LSTM and Four Nature-Inspired Metaheuristics
by: Ruby Beniwal, et al.
Published: (2025)

Intelligent cloud networking: Applying ai and reinforcement learning for dynamic traffic engineering, QoS optimization and threat detection in software-defined cloud architectures
by: Guntupalli, Raviteja
Published: (2025)

Filtering Compromised Environment Sensors Using Autoregressive Hidden Markov Model
by: Bushra Anjum
Published: (2016)

Attention Maps to Highlight Potential Polyps during Colonoscopy
by: Lina Marcela Ruiz-García
Published: (2023)

The effects of practice on cueing in detection and discrimination tasks
by: Juan Lupiáñez
Published: (2001)

The effects of practice on cueing in detection and discrimination tasks
by: Juan Lupiáñez
Published: (2001)

Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks
by: Jeyson A. Castillo
Published: (2020)

Mitosis-Based Anomaly Detection via Inter-Engine Tension
by: Park, Min Woo
Published: (2026)

AN INTEGRATED MULTI-MODEL APPROACH FOR AUTOMATED MEDICARE FRAUD DETECTION AND PREVENTION
by: IJERST
Published: (2026)

A Review on The Malware Detection Systems
by: L L N V S R K Sai Surya, et al.
Published: (2023)

Chapter Early Detection and Reconstruction of Abnormal Data Using Hybrid VAE-LSTM Framework
by: Hou, Fangli, et al.
Published: (2024)

Best Practices for Auditing Security Operations Centers (SOC) for Compliance and Threat Detection
by: Mohammed, Anwar
Published: (2018)

Implementation of a Demand Forecasting System Using LSTM, XGBoost, and Temporal Fusion Transformer with a Distributed Data Pipeline
by: Yashraj Umesh Panhalkar, et al.
Published: (2026)

Website Phishing Detector
by: Mrs Varshini J, et al.
Published: (2025)

Dynamic Energy-Aware Task Scheduling using Real-Time Resource Monitoring in Distributed Edge Environments
by: Vanapalli Jayanth Sai, et al.
Published: (2026)

Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
by: Thomopoulos, Stelios C.A.
Published: (2021)

Intelligent Neurodiagnostic Platform for Brain Tumor and Alzheimer's Detection Using Deep Learning Models
by: Mr.Gulve Rushikesh Somnath, et al.
Published: (2026)

Os Canais Satélite da CNN e as Suas Diferenças: CNN Portugal Versus CNN Prima News
by: Élvio Silva Carvalho
Published: (2025)

Machine Learning-Based Road Condition Assessment from Satellite Imagery in South Sudan
by: Anhiem, Aduot Madit
Published: (2026)

Hybrid artificial intelligence approach to counterfeit currency detection
by: Monther Tarawneh
Published: (2025)

Processed Spatio-Temporal Flood Prediction Dataset for Jakarta
by: Ramadhani, Putri Adistia
Published: (2025)

PERFORMANCE ANALYSIS OF ACCESS AND MOBILITY MANAGEMENT FUNCTION ON A 5G CORE BASED ON CPU USAGE PREDICTIONS
by: Wilmar-Yesid Campo-Muñoz
Published: (2024)