Enhanced Intrusion Detection with LSTM-Based Model, Feature Selection, and SMOTE for Imbalanced Data

Enhanced Intrusion Detection with LSTM-Based Model, Feature Selection, and SMOTE for Imbalanced Data

This study introduces a sophisticated intrusion detection system (IDS) that has been specifically developed for internet of things (IoT) networks. By utilizing the capabilities of long short-term memory (LSTM), a deep learning model renowned for its proficiency in modeling sequential data, our intru...

Full description

Bibliographic Details
Main Authors:	Hussein Ridha Sayegh, Wang Dong, Ali Mansour Al-madani
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Applied Sciences
Subjects:	cybersecurity intrusion detection system (IDS) long short-term memory (LSTM) data imbalance
Online Access:	https://www.mdpi.com/2076-3417/14/2/479

Similar Items

A NOVEL APPROACH TO INTRUSION-DETECTION SYSTEM: COMBINING LSTM AND THE SNAKE ALGORITHM
by: sanaa Ali Jebbar, et al.
Published: (2023-12-01)

Intrusion Detection System in the Advanced Metering Infrastructure: A Cross-Layer Feature-Fusion CNN-LSTM-Based Approach
by: Ruizhe Yao, et al.
Published: (2021-01-01)

An optimized LSTM-based deep learning model for anomaly network intrusion detection
by: Nitu Dash, et al.
Published: (2025-01-01)

A Hypertuned Lightweight and Scalable LSTM Model for Hybrid Network Intrusion Detection
by: Aysha Bibi, et al.
Published: (2023-09-01)

Feature Selection Techniques in Intrusion Detection: A Comprehensive Review
by: Lubna ALkahla, et al.
Published: (2024-06-01)

CBF-IDS: Addressing Class Imbalance Using CNN-BiLSTM with Focal Loss in Network Intrusion Detection System
by: Haonan Peng, et al.
Published: (2023-10-01)

A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets
by: Ranjit Panigrahi, et al.
Published: (2021-03-01)

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic
by: Farhan Ullah, et al.
Published: (2024-02-01)

Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
by: Khloud Al Jallad, et al.
Published: (2019-10-01)

An Anomaly Intrusion Detection for High-Density Internet of Things Wireless Communication Network Based Deep Learning Algorithms
by: Emad Hmood Salman, et al.
Published: (2022-12-01)

ADFCNN-BiLSTM: A Deep Neural Network Based on Attention and Deformable Convolution for Network Intrusion Detection
by: Bin Li, et al.
Published: (2025-02-01)

A hybrid CNN+LSTM-based intrusion detection system for industrial IoT networks
by: Hakan Can Altunay, et al.
Published: (2023-02-01)

Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization
by: murtadha ali
Published: (2024-12-01)

An Imbalanced Generative Adversarial Network-Based Approach for Network Intrusion Detection in an Imbalanced Dataset
by: Yamarthi Narasimha Rao, et al.
Published: (2023-01-01)

Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection
by: Amjad Alsirhani, et al.
Published: (2023-09-01)

Improving intrusion detection using LSTM-RNN to protect drones’ networks
by: Menna Gamal, et al.
Published: (2024-09-01)

Fault Diagnosis of LSTM Network Tansformer Based on SMOTE and Bayes Optimization
by: Hongjie ZHANG, et al.
Published: (2023-08-01)

A Novel Ensemble Framework for an Intelligent Intrusion Detection System
by: Sugandh Seth, et al.
Published: (2021-01-01)

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
by: Risna Sari, et al.
Published: (2023-02-01)

Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model
by: Wei Dai, et al.
Published: (2024-01-01)

A Novel IoT Intrusion Detection Model Using 2dCNN-BiLSTM
by: R. H. Xiang, et al.
Published: (2024-06-01)

CNN-LSTM: Hybrid Deep Neural Network for Network Intrusion Detection System
by: Asmaa Halbouni, et al.
Published: (2022-01-01)

Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research
by: Ranjit Panigrahi, et al.
Published: (2021-03-01)

New Optimized Adaptive Time Series IDS Classifier Algorithm: Beyond Deep Learning
by: Saiyed Rasol Bin Tuan Muda, et al.
Published: (2023-01-01)

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models
by: Sanjiban Sekhar Roy, et al.
Published: (2022-11-01)

Benchmarking Deep Learning Methods for Behaviour-Based Network Intrusion Detection
by: Mário Antunes, et al.
Published: (2022-03-01)

On the Detection Capabilities of Signature-Based Intrusion Detection Systems in the Context of Web Attacks
by: Jesús Díaz-Verdejo, et al.
Published: (2022-01-01)

Intrusion detection system combined enhanced random forest with SMOTE algorithm
by: Tao Wu, et al.
Published: (2022-05-01)

Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm
by: Muhammad Rahadian Abdurrahman, et al.
Published: (2024-10-01)

A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism
by: Hongsheng Xu, et al.
Published: (2023-01-01)

Hybrid Optimization Enabled Robust CNN-LSTM Technique for Network Intrusion Detection
by: Bhushan Deore, et al.
Published: (2022-01-01)

Hierarchical LSTM-Based Network Intrusion Detection System Using Hybrid Classification
by: Jonghoo Han, et al.
Published: (2023-02-01)

Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction
by: Yuelei Xiao, et al.
Published: (2019-03-01)

Classification of ECG anomaly with dynamically-biased LSTM for continuous cardiac monitoring
by: Hu, Jinhai, et al.
Published: (2024)

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures
by: Irfan Ali Kandhro, et al.
Published: (2023-01-01)

Intelligent Intrusion Detection System Against Various Attacks Based on a Hybrid Deep Learning Algorithm
by: Bambang Susilo, et al.
Published: (2025-01-01)

Empowering Network Security: BERT Transformer Learning Approach and MLP for Intrusion Detection in Imbalanced Network Traffic
by: Zeeshan Ali, et al.
Published: (2024-01-01)

Intrusion Detection for IoT Environments Through Side-Channel and Machine Learning Techniques
by: Alejandro Dominguez Campos, et al.
Published: (2024-01-01)

Vehicular Network Intrusion Detection Using a Cascaded Deep Learning Approach with Multi-Variant Metaheuristic
by: Ankit Manderna, et al.
Published: (2023-10-01)

Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks
by: Pramita Sree Muhuri, et al.
Published: (2020-05-01)