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iOS Forensics for Investigators

iOS Forensics for Investigators

By : Tiepolo
4.5 (6)
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iOS Forensics for Investigators

iOS Forensics for Investigators

4.5 (6)
By: Tiepolo

Overview of this book

Professionals working in the mobile forensics industry will be able to put their knowledge to work with this practical guide to learning how to extract and analyze all available data from an iOS device. This book is a comprehensive, how-to guide that leads investigators through the process of collecting mobile devices and preserving, extracting, and analyzing data, as well as building a report. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book starts by covering the fundamentals of mobile forensics and how to overcome challenges in extracting data from iOS devices. Once you've walked through the basics of iOS, you’ll learn how to use commercial tools to extract and process data and manually search for artifacts stored in database files. Next, you'll find out the correct workflows for handling iOS devices and understand how to extract valuable information to track device usage. You’ll also get to grips with analyzing key artifacts, such as browser history, the pattern of life data, location data, and social network forensics. By the end of this book, you'll be able to establish a proper workflow for handling iOS devices, extracting all available data, and analyzing it to gather precious insights that can be reported as prosecutable evidence.
Table of Contents (17 chapters)
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1
Section 1 – Data Acquisition from iOS Devices
4
Section 2 – iOS Data Analysis
14
Section 3 – Reporting

Summary

In this chapter, we learned all about photo, video, and audio forensics. First, we introduced the concept of media forensics to learn which artifacts an investigator should expect to find on an iOS device and where they are located.

Later on in the chapter, we focused on analyzing metadata from photos and videos. We introduced the Photos.sqlite database and discussed different options to extract data pertaining to the media files stored on the device. Then, we learned all about EXIF metadata, how an investigation can benefit from such data, and how to extract it using Windows, macOS, and Linux.

Finally, in the last section of this chapter, we discussed how to detect user viewing activity by using the events logged in the KnowledgeC.db database.

In the next chapter, we will learn how to analyze third-party applications.

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