Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure

Computer Science

• Artificial Intelligence 100%
• Intrusion Detection and Prevention 100%
• Wireless Sensor Network 100%
• Network Performance 66%
• Intrusion Detection System 66%
• Network Management 66%
• Energy Consumption 66%
• Detection Accuracy 33%
• Superior Performance 33%
• Reinforcement Learning 33%
• Performance Metric 33%
• Intrusion Detection 33%
• Attackers 33%
• Packet Delivery Ratio 33%
• Control Overhead 33%
• Network Lifetime 33%
• Authentication 33%
• Generative Adversarial Networks 33%
• Network Simulator 33%
• Real Time Performance 33%
• Quality of Service 33%
• Dynamic Network 33%
• Transfer Learning 33%
• Deep Q-Network 33%
• System Effectiveness 33%
• Optimization Algorithm 33%
• Confusion Matrix 33%

Keyphrases

• Intelligent Routing 33%
• Network Partitioning 33%
• Hybrid Intrusion Detection System 33%
• 3D Cubes 33%
• Driver Training 33%
• Drop Control 33%
• Cube Algorithm 33%
• Deep Q-network 33%
• Network Efficiency 33%
• Flexibility Performance 33%
• Bidirectional Generative Adversarial Networks (BiGANs) 33%