Fed-FeRe: An Enhancing Approach for Efficient Anomaly Detection in IoT Security

Keyphrases

• Anomaly Detection 100%
• Internet of Things Security 100%
• Federated Learning 50%
• Internet of Things Environment 50%
• Chi-square 25%
• Comprehensive Evaluation 25%
• Machine Learning Techniques 25%
• Real-world Application 25%
• Learning-based 25%
• Computational Burden 25%
• Internet of Things 25%
• Detection Accuracy 25%
• Internet of Things System 25%
• Cyber Threats 25%
• Data Privacy 25%
• Internet of Things Networks 25%
• User Privacy 25%
• Anomaly Detection System 25%
• Feature Reduction Techniques 25%
• Computational Communication 25%
• Communication Overhead 25%
• Device Interaction 25%
• Computational Demand 25%
• Non-independent and Identically Distributed Data 25%
• Securities Offerings 25%
• Gated Recurrent Unit Model 25%

Computer Science

• Internet of Things 100%
• Anomaly Detection 100%
• Federated Learning 28%
• Machine Learning Technique 14%
• World Application 14%
• Feature Reduction 14%
• Detection Accuracy 14%
• Detection Method 14%
• Data Privacy 14%
• User Privacy 14%
• Communication Overhead 14%
• Gated Recurrent Unit 14%