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IoT and OT Security Handbook

You're reading from  IoT and OT Security Handbook

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781804619803
Pages 172 pages
Edition 1st Edition
Languages
Authors (2):
Smita Jain Smita Jain
Profile icon Smita Jain
Vasantha Lakshmi Vasantha Lakshmi
Profile icon Vasantha Lakshmi
View More author details

Table of Contents (16) Chapters

Preface 1. Part 1: Understand the Challenges in IoT/OT Security and Common Attacks
2. Chapter 1: Addressing Cybersecurity in the Age of Industry 4.0 3. Chapter 2: Delving into Network Segmentation-Based Reference Architecture – the Purdue Model 4. Chapter 3: Common Attacks on IoT/OT Environments 5. Part 2: How Microsoft Defender for IoT Can Address the Open Challenges in the Connected World We Live in Today
6. Chapter 4: What Is Microsoft Defender for IoT? 7. Chapter 5: How Does Microsoft Defender for IoT Fit into Your OT/IoT Environment/Architecture? 8. Chapter 6: How Do the Microsoft Defender for IoT Features Help in Addressing Open Challenges? 9. Part 3: Best Practices to Achieve Continuous Monitoring, Vulnerability Management, Threat Monitoring and Hunting, and to Align the Business Model Toward Zero Trust
10. Chapter 7: Asset Inventory 11. Chapter 8: Continuous Monitoring 12. Chapter 9: Vulnerability Management and Threat Monitoring 13. Chapter 10: Zero Trust Architecture and the NIST Cybersecurity Framework 14. Index 15. Other Books You May Enjoy

The industrial malware detection engine

Understanding OT/IoT-based industrial malware is a must. The MDIoT detection engine contains this information to aid in better detection and alerting. Malicious activity on the network will be discovered by this engine.

In Figure 8.4, we can see the Suspicion of Malicious Activity pane in the MDIoT Alerts section. From the name itself, we understand that this attack could lead to exploitation by known malware – hence, further action is required from the Security Operations Center (SOC) or the admin team:

Figure 8.4 – The industrial malware detection engine

To gather further information about the malware, we can look into the full details of the Suspicion of Malware Activity alert:

Figure 8.5 – Industrial malware detection engine: Triton malware

We can see that the name of the known malware is Triton malware. The lateral movement attempted by Triton malware is shown in the...

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