Enhancing IoT Network Security: A BPSO-Optimized Attention-GRU Deep Learning Framework for Intrusion Detection

Keyphrases

• Binary Particle Swarm Optimization 100%
• Network Security 100%
• Deep Learning Framework 100%
• Internet of Things Networks 100%
• Intrusion Detection 100%
• Intrusion Detection System 100%
• Gated Recurrent Unit 100%
• Internet of Things 60%
• F1 Score 40%
• Detection Efficiency 40%
• Network of Things 40%
• Internet of Things Environment 40%
• CICIDS2017 40%
• Computer Networks 40%
• Anomaly Detection 20%
• Deep Learning Architectures 20%
• Comprehensive Evaluation 20%
• Computational Efficiency 20%
• Multi-class Classification 20%
• Sampling Strategy 20%
• Feature Learning 20%
• Superior Performance 20%
• Binary Classification 20%
• Internet Development 20%
• Model Interpretability 20%
• Rapid Development 20%
• Benchmark Dataset 20%
• Class Distribution 20%
• Unit-based 20%
• System Integration 20%
• Threat Detection 20%
• Security Measures 20%
• Feature Subset 20%
• Unauthorized Access 20%
• Optimized Features 20%
• Robust Networks 20%
• Deep Learning-based Intrusion Detection 20%
• Optimal Feature Selection 20%
• Network Traffic Dataset 20%
• Network Traffic Data 20%
• Cyber Threats 20%
• Sequence Processing 20%
• Enhanced Model 20%
• Major Challenges 20%
• Computational Overhead 20%
• Transmitting Data 20%
• Influential Features 20%
• Efficient Learning 20%
• Computer Internet 20%
• Hybrid Deep Learning 20%
• Multi-head Attention Mechanism 20%
• High-dimensional Network 20%
• Minority Attacks 20%
• Deep Gated Recurrent Unit 20%
• Attention Learning 20%
• Binary Particle Swarm Optimization Algorithm 20%
• Exponential Expansion 20%
• Sequential Attention 20%

Computer Science

• Deep Learning Method 100%
• Particle Swarm Optimization 100%
• Learning Framework 100%
• Internet-Of-Things 100%
• Network Security 100%
• Intrusion Detection 100%
• Gated Recurrent Unit 100%
• Intrusion Detection System 71%
• Network Traffic 28%
• Computer Network 28%
• Anomaly Detection 14%
• Experimental Result 14%
• Interpretability 14%
• Attention (Machine Learning) 14%
• Computational Efficiency 14%
• Multiclass Classification 14%
• Representation Learning 14%
• Transmitted Data 14%
• Superior Performance 14%
• Binary Classification 14%
• Class Distribution 14%
• Threat Detection 14%
• Security Measure 14%
• particle swarm optimization algorithm 14%
• Unauthorized Access 14%
• Rapid Development 14%