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 Praktische Übungen — nothing to install
- 13 Interaktive Lektionen Und 70 topics mapped to the official exam objectives
Intermediate Selbstgesteuert · 1 Jahr Zugang
18 Praktische LiveLabs
Practice real IT tasks in guided environments.
- Reale Umgebungen
- Automatisch bewertet
- Keine Installation
01 / Fähigkeiten, die Sie erwerben
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 Strukturierte Lektionen Umfassende Abdeckung der zentralen Kursziele
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18 Praktische LiveLabs Interaktive, geführte Szenarien mit sofortiger Auswertung
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1 Jahr voller Zugang Selbstgesteuertes Lernen, jederzeit auf allen Geräten zugänglich
02 / Lektionen & Labore
See exactly what you will learn and practice
Unterrichtsplan
13 Interaktive Lektionen · 70 topics01 Preface 1 topics +
- Nomenclature
02 Smart Grid Cyber-Physical System: An Overview 6 topics · 2 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
03 Smart Grid Control 7 topics · 1 LiveLab +
- Introduction
- Smart Grid Control and Cyber-Security
- Frequency Control
- Load Frequency Control Modeling
- State-Space Representations
- Load Frequency Control Cyber-Physical System
- Summary
1 LiveLab in this lesson — see the labs panel →
04 Attack Modeling for Smart Grid Control 9 topics · 4 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
05 Vulnerability Assessment for Multi-area Load Frequency Control 7 topics · 2 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
06 MITRE ATT&CK for Smart Grid Cyber-Security 8 topics · 2 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
07 Signal Processing-Based Attack Detection 12 topics · 5 LiveLab +
- 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 LiveLab in this lesson — see the labs panel →
08 Machine Learning-Based Attack Detection 5 topics · 1 LiveLab +
- Introduction
- Machine Learning in Smart Grid Attack Detection
- Support Vector Data Description Based Online Attack Detection
- Simulation Results and Discussions
- Summary
1 LiveLab in this lesson — see the labs panel →
09 Attack Mitigation and Recovery in Smart Grid Control 7 topics · 1 LiveLab +
- 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 LiveLab 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
Praktische Übungen Our edge
18 LiveLabs- 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 / FAQS
Fragen, bevor Sie beginnen
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 Jahr voller Zugang
- 18 LiveLab enthalten
- Abschlusszertifikat
Keine Kreditkarte benötigt