Low-complexity Anomaly Detection Method based on Feature Importance using Shapley Value

Computer Science

• Anomaly Detection 100%
• Detection Method 100%
• Deep Learning Method 100%
• Internet of Things Device 66%
• Feature Selection 66%
• Computational Complexity 33%
• Memory Capacity 33%
• Security Challenge 33%
• Neural Network 33%
• High Performance Computing 33%
• Anomaly-Based Detection 33%
• Feature Extraction 33%
• Internet-Of-Things 33%

Engineering

• Anomaly Detection 100%
• Deep Learning Method 100%
• Feature Extraction 66%
• Internet of Things Device 66%
• Simulation Result 33%
• Input Data 33%
• Computational Complexity 33%
• Selection Method 33%
• Internet-Of-Things 33%