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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 location artifacts and how an investigator can benefit from analyzing such data.

First, we introduced the Location Services API. Then, we learned how A-GPS uses multiple technologies to figure out a device's position, such as satellite GPS, Wi-Fi, and cell towers. We learned how iOS manages Significant Locations and where this data is stored.

Later on in the chapter, we focused on the most popular location-related databases found on an iOS device. We learned which are the most data-rich tables and how the data is organized in different columns. Then, we learned how to extract location data by running SQL queries. We learned about the different accuracy levels that can be found in routined data versus harvested location data.

Finally, in the last section of this chapter, we went through the steps required to view location artifacts in Cellebrite Physical Analyzer and Apollo, an open source tool that greatly simplifies the process...

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