Dependable intrusion detection system for IoT: A deep transfer learning based approach

Keyphrases

• Learning-based 100%
• Internet of Things 100%
• Intrusion Detection System 100%
• Deep Transfer Learning 100%
• Potential Threats 20%
• Rapid Development 20%
• Performance Evaluation 20%
• Emerging Challenges 20%
• Attribute Selection 20%
• Machine Learning Based 20%
• Security Requirements 20%
• Enterprise Systems 20%
• Labeled Data 20%
• Internet of Things Applications 20%
• Internet of Things Environment 20%
• Internet of Things Networks 20%
• Traditional Machine Learning 20%
• Threat Types 20%
• Network Intrusion Detection 20%
• Experimental Performance Evaluation 20%
• Attack Scenario 20%
• Heterogeneous Internet of Things 20%
• ResNet Model 20%
• Security Concerns 20%
• Sustainable Internet of Things 20%

Computer Science

• Intrusion Detection System 100%
• Deep Transfer Learning 100%
• Internet-Of-Things 100%
• Performance Evaluation 40%
• Potential Solution 20%
• Potential Threat 20%
• Security Concern 20%
• Security Requirements 20%
• Attribute Selection 20%
• Enterprise System 20%
• Deep Learning Method 20%
• Residual Neural Network 20%
• network intrusion detection 20%
• Attack Scenario 20%
• Rapid Development 20%
• Machine Learning 20%
• Learning System 20%