Deep Learning Anomaly Classification Using Multi-Attention Residual Blocks for Industrial Control Systems

Keyphrases

• Anomaly Classification 100%
• Attention Block 50%
• Data Imbalance Problem 50%
• Deep Learning 100%
• Deep Neural Network 100%
• ELECTRA 50%
• F1 Score 50%
• Flow-based 50%
• Focal Loss 50%
• Gradient Vanishing 50%
• Impact Performance 50%
• Industrial Control Systems 100%
• Local Minima 50%
• Lookahead Optimizer 50%
• Modbus 50%
• Monitoring Network 50%
• Multi-attention 100%
• Network Packet 50%
• Precision Score 50%
• Precision-recall 50%
• RAdam 50%
• Rangers 50%
• Recall Score 50%
• Residual Block 100%

Computer Science

• Deep Learning Method 100%
• Deep Neural Network 100%
• Industrial Control System 100%
• Local Minimum 50%
• Modbus 50%
• Network Packet 50%
• Performance Impact 50%

Engineering

• Control System 100%
• Deep Learning Method 100%
• Deep Neural Network 100%
• Industrial Control 100%
• Local Minimum 50%