A hybrid methodology for anomaly detection in Cyber–Physical Systems

Keyphrases

• Anomaly Detection 100%
• Hybrid Methodology 100%
• Cyberphysical Systems 100%
• Behavior-based 66%
• Technological Networks 66%
• Hybrid Model 66%
• Information Technology Networks 66%
• Operational Technology 66%
• Signature-based 66%
• Machine Learning Algorithms 33%
• Detection Method 33%
• Attack Surface 33%
• Security Threats 33%
• Life Safety 33%
• Detection Accuracy 33%
• Industry 4.0 (I4.0) 33%
• Machine Learning Models 33%
• Intrusion Detection System 33%
• Economic Safety 33%
• Rapid Detection 33%
• Air Gap 33%
• Trust Network 33%
• Uncertain Threat 33%
• Threshold Method 33%
• Detection Threshold 33%

Computer Science

• Anomaly Detection 100%
• Network Technology 100%
• Information Technology 100%
• Machine Learning Algorithm 50%
• Industry 4.0 50%
• Attack Surface 50%
• Intrusion Detection System 50%
• Trusted Network 50%
• Anomaly-Based Detection 50%
• Machine Learning 50%
• Learning System 50%