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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

Cloud Productivity Suites

By this point in the book, you are well acquainted with the core components and log sources that are integral to Cloud Service Providers (CSPs) such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). As we pivot to productivity suites, it’s crucial to recognize that these platforms—namely Microsoft 365 and Google Workspace—are often the epicenter of organizational data and activity. The investigation of incidents in these environments comes with its own unique challenges and possibilities, as these services offer not just computing and storage but also extensive collaborative tools, all available through a Software as a Service (SaaS) model. The SaaS model, though convenient for organizations, means analysis will be dependent on which log sources are made available for investigators by the products.

It’s important to note that AWS does not have a cloud productivity suite akin to Microsoft 365 or Google Workspace...

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