Attack Graph Model for Cyber-Physical Power Systems using Hybrid Deep Learning

Keyphrases

• Active Attack 100%
• Anomaly Detection 100%
• Attack Detection 100%
• Attack Graph 100%
• Attack Location 100%
• Classification Basis 50%
• Classification Methods 50%
• Communication Throughput 50%
• Communications-based 50%
• Control Center 50%
• Convolutional Long Short-term Memory (ConvLSTM) 50%
• Cyber Kill Chain 50%
• Cyber-attacks 100%
• Cyber-physical Power System 100%
• Deep Convolutional Network 50%
• Deep Learning 50%
• Electrical Grid 50%
• Existing State 50%
• Graph Convolutional 50%
• Graph Model 100%
• Hybrid Deep Learning 100%
• Measurement Anomaly 50%
• Novel Attacks 50%
• Operational Technology 50%
• Power Grid 50%
• Power Grid Resilience 50%
• Power System Measurements 50%
• Power System Operator 50%
• Situational Awareness 50%
• Software-defined Networking 50%
• Substation Operation 50%
• System-wide 50%
• Technological Networks 50%
• Time Series Classification 100%
• Ukraine 50%
• Wide Area Network 50%

Computer Science

• Anomaly Detection 50%
• Anomaly-Based Detection 50%
• Classification Method 50%
• Convolutional Neural Network 50%
• Cyber Attack 100%
• Cyber Kill Chain 50%
• Deep Learning Method 100%
• Deep Learning Model 50%
• Detection Method 50%
• Long Short-Term Memory Network 50%
• Measurement System 50%
• Network Technology 50%
• Situational Awareness 50%
• Software Defined Networking 50%
• Wide Area Network 50%