A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection

Keyphrases

• Attention-based 100%
• Deep Convolutional Neural Network (deep CNN) 100%
• Network Intrusion Detection 100%
• Self-attention 100%
• Internet of Things Networks 100%
• Industrial Internet of Things (IIoT) 100%
• Deep Machine Learning 60%
• Machine Learning Learning 60%
• Mutual Information 40%
• Malicious Behavior 40%
• Deep Learning Model 40%
• Security Issues 20%
• Training Data 20%
• Network Datasets 20%
• Systems-based 20%
• Negative Impact 20%
• Cleaning Methods 20%
• Filter Method 20%
• Superior Performance 20%
• Existing System 20%
• Overall System 20%
• Communication Protocol 20%
• Descending Order 20%
• Data Pattern 20%
• Comprehensive Comparison 20%
• Smart Devices 20%
• Privacy Concerns 20%
• Information-centric 20%
• Significance Value 20%
• Intrusion Detection System 20%
• Traditional Machine Learning 20%
• Repetitive Patterns 20%
• Network Behavior 20%
• Underfitting 20%
• Malicious Attacks 20%
• Feature Filtering 20%
• Privacy Leak 20%
• Insufficient Training Data 20%
• Eliminate Redundancy 20%
• IoTID20 20%

Computer Science

• Deep Convolutional Neural Networks 100%
• network intrusion detection 100%
• Industrial Internet of Things 100%
• Machine Learning 60%
• Learning System 60%
• Training Data 40%
• Neural Network Model 40%
• Mutual Information 40%
• Malicious Activity 40%
• Deep Learning Model 40%
• Superior Performance 20%
• Communication Protocol 20%
• Negative Impact 20%
• Intrusion Detection System 20%
• Deep Learning Method 20%
• Security Challenge 20%
• Smart Device 20%
• Filtering Method 20%
• Malicious Attack 20%
• Privacy Breach 20%
• Privacy Challenge 20%
• Descending Order 20%