Cyber-Security for Smart Grid Control

Preface

• Nomenclature

Smart Grid Cyber-Physical System: An Overview

• Introduction
• Smart Grid Cyber-Physical System
• Issues in Smart Grid Cyber-Physical Systems
• Attacks on Smart Grid Systems
• Defense in Depth Security Approach
• Cyber-Security in Smart Grid Control

Smart Grid Control

• Introduction
• Smart Grid Control and Cyber-Security
• Frequency Control
• Load Frequency Control Modeling
• State-Space Representations
• Load Frequency Control Cyber-Physical System
• Summary

Attack Modeling for Smart Grid Control

• Introduction
• Smart Grid Attack Modeling Overview
• Multi-area Load Frequency Control (MA-LFC)
• Attack Modeling for MA-LFC
• Stealth/Undetectable Attacks
• Multiple-Attack Model
• Attack Impact Analysis for IEEE 39-Bus New England Test System LFC
• Future Scope
• Summary

Vulnerability Assessment for Multi-area Load Frequency Control

• Introduction
• Data Penetration Testing
• Cascading Outage Model
• Vulnerability Assessment
• Detailed Risk Quantification Methodology
• Case Study: Vulnerability Assessment for 9-Bus and 39-Bus New England Systems
• Summary

MITRE ATT&CK for Smart Grid Cyber-Security

• Introduction
• Understanding MITRE ATT&CK
• Mapping Threats to Smart Grids
• Using MITRE ATT&CK for Smart Grid Defense
• MITRE ATT&CK for Vulnerability Assessment and Penetration Testing (VAPT)
• Analyze the Likelihood, Impact, and Risk Scores
• Case Study: MITRE ATT&CK for Substation VA
• Summary

Signal Processing-Based Attack Detection

• Introduction
• Multi-level Attack Detection
• Singular Spectral Analysis (SSA)-Based Attack Detection
• Process Level Single Variate Attack Detection
• Multivariate SSA for Control Center Level Detection
• Performance Analysis of Detection Algorithm
• Multi-level Attack Detection Results
• Hypothesis Testing-Based Attack Detection
• SSA Hoeffding Test-Based Hypothesis Testing
• Adaptive Threshold Selection
• Adaptive Attack Detection Results
• Summary

Machine Learning-Based Attack Detection

• Introduction
• Machine Learning in Smart Grid Attack Detection
• Support Vector Data Description Based Online Attack Detection
• Simulation Results and Discussions
• Summary

Attack Mitigation and Recovery in Smart Grid Control

• Introduction
• Attack Mitigation in Smart Grids
• Adaptive Control-Based Attack Mitigation
• Attack Mitigation for 39-Bus 3 Area System
• IoT-Based Hardware Model
• Research Scope
• Summary

Appendix A: Test Systems Data

• A.1 IEEE 9-Bus System
• A.2 39-Bus New England Test System
• A.3 IEEE 300-Bus System

Appendix B: Detailed Equations for Cascading Outage Model

Appendix C: Information Theory and Hypothesis Testing

• C.1 Hoeffding Test
• C.2 Neyman-Pearson Theorem

Appendix D: Proofs of Theorems

• D.1 Theorem 3.1
• D.2 Theorem 6.1
• D.3 Theorem 6.2