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Cloud Forensics Demystified

You're reading from   Cloud Forensics Demystified Decoding cloud investigation complexities for digital forensic professionals

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781800564411
Length 384 pages
Edition 1st Edition
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Authors (2):
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Mansoor Haqanee Mansoor Haqanee
Author Profile Icon Mansoor Haqanee
Mansoor Haqanee
Ganesh Ramakrishnan Ganesh Ramakrishnan
Author Profile Icon Ganesh Ramakrishnan
Ganesh Ramakrishnan
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cloud Fundamentals
2. Chapter 1: Introduction to the Cloud FREE CHAPTER 3. Chapter 2: Trends in Cyber and Privacy Laws and Their Impact on DFIR 4. Chapter 3: Exploring the Major Cloud Providers 5. Chapter 4: DFIR Investigations – Logs in AWS 6. Part 2: Forensic Readiness: Tools, Techniques, and Preparation for Cloud Forensics
7. Chapter 5: DFIR Investigations – Logs in Azure 8. Chapter 6: DFIR Investigations – Logs in GCP 9. Chapter 7: Cloud Productivity Suites 10. Part 3: Cloud Forensic Analysis – Responding to an Incident in the Cloud
11. Chapter 8: The Digital Forensics and Incident Response Process 12. Chapter 9: Common Attack Vectors and TTPs 13. Chapter 10: Cloud Evidence Acquisition 14. Chapter 11: Analyzing Compromised Containers 15. Chapter 12: Analyzing Compromised Cloud Productivity Suites 16. Index 17. Other Books You May Enjoy

Summary

This chapter delved into the crucial role of log analysis in incident response within the Azure environment. It emphasized the significance of understanding the available log sources in Azure, how to obtain them, and best practices for analyzing the data to effectively detect, contain, and resolve security incidents. By familiarizing incident response professionals with the tools and techniques specific to Azure, they can enhance their ability to safeguard and respond to security incidents in a cloud infrastructure context.

This chapter highlighted the importance of differentiating between default log availability and the need to enable certain logs, drawing parallels to AWS. Then, it outlined the diverse logs provided by essential Azure services and products, as previously discussed in Chapter 3, and examined their utilization for investigative purposes. In particular, this chapter explored Azure Log Analytics, Azure Virtual Network flow logs, Azure Storage, Azure Virtual...

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