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Practical Mobile Forensics

You're reading from   Practical Mobile Forensics Forensically investigate and analyze iOS, Android, and Windows 10 devices

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838647520
Length 400 pages
Edition 4th Edition
Languages
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Concepts
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Authors (4):
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Heather Mahalik Heather Mahalik
Author Profile Icon Heather Mahalik
Heather Mahalik
Oleg Skulkin Oleg Skulkin
Author Profile Icon Oleg Skulkin
Oleg Skulkin
Rohit Tamma Rohit Tamma
Author Profile Icon Rohit Tamma
Rohit Tamma
Satish Bommisetty Satish Bommisetty
Author Profile Icon Satish Bommisetty
Satish Bommisetty
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Mobile Forensics 2. Section 1: iOS Forensics FREE CHAPTER
3. Understanding the Internals of iOS Devices 4. Data Acquisition from iOS Devices 5. Data Acquisition from iOS Backups 6. iOS Data Analysis and Recovery 7. iOS Forensic Tools 8. Section 2: Android Forensics
9. Understanding Android 10. Android Forensic Setup and Pre-Data Extraction Techniques 11. Android Data Extraction Techniques 12. Android Data Analysis and Recovery 13. Android App Analysis, Malware, and Reverse Engineering 14. Section 3: Windows Forensics and Third-Party Apps
15. Windows Phone Forensics 16. Parsing Third-Party Application Files 17. Other Books You May Enjoy

Summary

This chapter covered various data analysis techniques and specified the locations for common artifacts within the iOS device's filesystem. When writing this chapter, we aimed to cover the most popular artifacts that tie into most investigations. Clearly, it is impossible to cover them all. We hope that once you learn how to extract data from SQLite and plist files, intuition and persistence will assist you in parsing the artifacts that were not covered.

Keep in mind that most open-source and commercial tools are able to pull active and deleted data from common database files, such as contacts, calls, SMS messages, and more, but they often overlook the third-party application database files. Our best advice is to know how to recover the data manually, just in case you need to validate your findings or testify as to how your tool functions.

We covered techniques to...

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