Data-driven detection and identification of IoT-enabled load-altering attacks in power grids

Engineering

• Power Grid 100%
• Internet of Things 100%
• Nodes 66%
• Edge Computing 66%
• Non-Linear Dynamic 33%
• Kalman Filter 33%
• Support Vector Machine 33%
• Control Loop 33%
• Bus System 33%

Keyphrases

• Data-driven Identification 100%
• Load Altering Attacks 100%
• Data-driven Detection 100%
• Power Grid Operation 66%
• Sparse Identification of Nonlinear Dynamics (SINDy) 33%
• Filter Support 33%
• Nonlinear Dynamic Method 33%

Computer Science

• Physics-Informed Neural Network 33%