CS-SMRTGRD.AU1
Cyber-Security for Smart Grid Control
Secure the heartbeat of our infrastructure! Start your Smart Grid Cyber-Security journey today and learn to defend the modern energy web.
- Practice in 18 Laboratorios prácticos — nothing to install
- 13 Lecciones interactivas y 70 topics mapped to the official exam objectives
Intermediate A tu propio ritmo · 1 año de acceso
18 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
01 / Habilidades que obtendrás
What you will be able to do
We’re living in an era where the "Energy Web" is just as vital as the World Wide Web. But as we add automation and intelligence to our electrical networks, we also open the door to digital intruders.
The challenge? Power systems need to transmit data at lightning speeds. To keep things fast, traditional Power System Security features like encryption and key management are often skipped in protocols like DNP3, MODBUS, and IEC-61850. This creates a massive target for cyber-physical attacks.
In this course, we move beyond basic IT firewalls to explore the specialized world of Smart Grid Cyber-Security. You’ll dive deep into Load Frequency Control (LFC), learn how to model sophisticated multi-area attacks, and use cutting-edge Machine Learning and signal processing to detect threats before they cause a blackout. If you want to be the professional who ensures our critical infrastructure remains resilient and unshakeable, you’re in the right place
Grid Fundamentals: Understand the Smart Grid cyber-physical landscape and why speed often trumps security in legacy protocols.
Control System Mastery: Explore the progressive developments in frequency control and the vital role of LFC in grid stability.
Advanced Attack Modeling: Learn to simulate and analyze complex attack scenarios on Multi-Area LFC systems.
Vulnerability Assessment: Conduct rigorous evaluations to identify weak points and enhance overall grid resilience.
MITRE ATT&CK for OT: Leverage the MITRE ATT&CK framework to catalog adversary tactics specifically for smart grids.
Signal-Based Detection: Apply Singular Spectral Analysis (SSA) for high-speed, multi-level Attack Detection.
AI-Driven Defense: Use Machine Learning techniques, specifically Support Vector Data Description (SVDD), for real-time threat spotting.
Mitigation & Recovery: Design robust strategies to safeguard against malicious acts and ensure rapid system recovery.
Course Highlights
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13 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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18 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
13 Lecciones interactivas · 70 topics01 Preface 1 topics +
- Nomenclature
02 Smart Grid Cyber-Physical System: An Overview 6 topics · 2 Laboratorio en vivo +
- 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
2 Laboratorio en vivo in this lesson — see the labs panel →
03 Smart Grid Control 7 topics · 1 Laboratorio en vivo +
- Introduction
- Smart Grid Control and Cyber-Security
- Frequency Control
- Load Frequency Control Modeling
- State-Space Representations
- Load Frequency Control Cyber-Physical System
- Summary
1 Laboratorio en vivo in this lesson — see the labs panel →
04 Attack Modeling for Smart Grid Control 9 topics · 4 Laboratorio en vivo +
- 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
4 Laboratorio en vivo in this lesson — see the labs panel →
05 Vulnerability Assessment for Multi-area Load Frequency Control 7 topics · 2 Laboratorio en vivo +
- 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
2 Laboratorio en vivo in this lesson — see the labs panel →
06 MITRE ATT&CK for Smart Grid Cyber-Security 8 topics · 2 Laboratorio en vivo +
- 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
2 Laboratorio en vivo in this lesson — see the labs panel →
07 Signal Processing-Based Attack Detection 12 topics · 5 Laboratorio en vivo +
- 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
5 Laboratorio en vivo in this lesson — see the labs panel →
08 Machine Learning-Based Attack Detection 5 topics · 1 Laboratorio en vivo +
- Introduction
- Machine Learning in Smart Grid Attack Detection
- Support Vector Data Description Based Online Attack Detection
- Simulation Results and Discussions
- Summary
1 Laboratorio en vivo in this lesson — see the labs panel →
09 Attack Mitigation and Recovery in Smart Grid Control 7 topics · 1 Laboratorio en vivo +
- 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
1 Laboratorio en vivo in this lesson — see the labs panel →
10 Appendix A: Test Systems Data 3 topics +
- A.1 IEEE 9-Bus System
- A.2 39-Bus New England Test System
- A.3 IEEE 300-Bus System
11 Appendix B: Detailed Equations for Cascading Outage Model +
12 Appendix C: Information Theory and Hypothesis Testing 2 topics +
- C.1 Hoeffding Test
- C.2 Neyman-Pearson Theorem
13 Appendix D: Proofs of Theorems 3 topics +
- D.1 Theorem 3.1
- D.2 Theorem 6.1
- D.3 Theorem 6.2
Laboratorios prácticos Our edge
18 Laboratorio en vivos- Implementing an IDS
- Configuring Router ACLs for DMZ-like Traffic Control
- Simulating a Basic LFC Model
- Simulating a DDoS Attack
- Simulating a DoS Attack
- Simulating a MA-LFC Model
- Performing Attack Impact Analysis on the 39-Bus System Using LFC
- Performing VA on a 9-Bus System
- Performing VA on the 39-Bus New England System
- Examining MITRE ATT&CK
- Conducting Red-Teaming Exercises Using MITRE ATT&CK Tactics and Techniques
- Performing an MITM Attack
- Defending Against IP Spoofing
- Performing MSSA-Based Cyber-Attack Detection for a Multi-Area LFC System
- Implementing Multi-Level Attack Detection Using SSA and MSSA in Power Systems
- Implementing Adaptive MSSA-Based Attack Detection in MAPS
- Performing SVDD-based Attack Detection
- Implementing Attack-Resilient LFC on a 39-Bus 3-Area System
03 / Preguntas frecuentes
Preguntas antes de empezar
Why is Load Frequency Control (LFC) such a big focus in this course?+
Do I need to be an AI expert to learn the Machine Learning sections?+
How does the MITRE ATT&CK framework help with smart grids?+
What is the biggest security challenge for smart grids today?+
Keep going
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Ready to Secure the Future?
Enroll Today! Become an expert in Smart Grid Cyber-Security and gain the skills to protect the heartbeat of modern civilization from the next generation of cyber threats.
- 1 año de acceso completo
- 18 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito