Cluster-based deep one-class classification model for anomaly detection

Keyphrases

• Algorithm Learning 25%
• Anomaly Behavior 25%
• Anomaly Detection 100%
• Anomaly Detection Model 25%
• Autoencoder 25%
• Behavior Learning 25%
• Big Data 25%
• Classification Model 100%
• Cluster-based 100%
• Clustering Algorithm 25%
• Cyber-attacks 25%
• Cyber-physical Systems 100%
• Data Security 25%
• Deep Learning Model 50%
• Deep One-class Classification 100%
• Detecting Anomalies 25%
• F1 Score 25%
• HAI Dataset 25%
• K-means Clustering Algorithm 25%
• Knowledge Distillation 25%
• Logit 50%
• Malicious Behavior 25%
• Model Train 25%
• Normal Behavior 25%
• OCC Model 25%
• Optimal Cluster Size 25%
• Performance Improvement 25%
• Sensor Data 25%
• SVM-RBF 25%

Computer Science

• Anomaly Detection 100%
• Big Data 25%
• Class Classification 100%
• Classification Models 100%
• Clustering Algorithm 25%
• Cyber Attack 25%
• Cyber Physical Systems 100%
• Deep Learning Model 50%
• Detect Anomaly 25%
• k-means Clustering 25%
• Knowledge Distillation 25%
• Malicious Behavior 25%
• Normal Behavior 25%
• Performance Improvement 25%
• Radial Basis Function 25%
• Support Vector Machine 25%