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iOS Forensics for Investigators

You're reading from iOS Forensics for Investigators Take mobile forensics to the next level by analyzing, extracting, and reporting sensitive evidence

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803234083

Length 316 pages

Edition 1st Edition

Tools

iOS

Concepts

Forensics

Author (1):

Gianluca Tiepolo

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1 – Data Acquisition from iOS Devices

2. Chapter 1: Introducing iOS Forensics FREE CHAPTER

3. Chapter 2: Data Acquisition from iOS Devices

4. Section 2 – iOS Data Analysis

5. Chapter 3: Using Forensic Tools

6. Chapter 4: Working with Common iOS Artifacts

7. Chapter 5: Pattern-of-Life Forensics

8. Chapter 6: Dissecting Location Data

9. Chapter 7: Analyzing Connectivity Data

10. Chapter 8: Email and Messaging Forensics

11. Chapter 9: Photo, Video, and Audio Forensics

12. Chapter 10: Analyzing Third-Party Apps

13. Chapter 11: Locked Devices, iTunes Backups, and iCloud Forensics

14. Section 3 – Reporting

15. Chapter 12: Writing a Forensic Report and Building a Timeline

16. Other Books You May Enjoy

Introducing pattern-of-life forensics

If you have never had the opportunity to take a close look at an iOS device's pattern-of-life data, you'll likely be surprised by the amount and variety of data that is collected, stored, and processed during normal smartphone use. Typically, this data is used by the operating system to provide customized recommendations to the user, such as Siri's suggestions.

What exactly is pattern-of-life forensics? This data is all about user behavior and device usage, and it allows the investigator to answer questions such as the following:

What has the user been using the device for?
What have they accessed?
Who have they communicated with?

From a forensic perspective, analyzing pattern-of-life data is extremely useful, not only to identify all activities performed on the device in a given period of time but also to build a profile of the device owner; by analyzing the data collected by iOS, the investigator will...

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Authors (1)

Tiepolo

Tiepolo

Gianluca Tiepolo is a cybersecurity researcher who specializes in mobile forensics and incident response. He holds a BSc degree in Computer Science and an MSc in Information Security, as well as several security-related certifications. Over the past 12 years, he has performed security monitoring, threat hunting, incident response, and intelligence analysis as a consultant for dozens of organizations, including several Fortune 100 companies. Gianluca is also the co-founder of the startup Sixth Sense Solutions, which developed AI-based anti-fraud solutions. Today, Gianluca works as a Security Delivery Team Lead for consulting firm Accenture Security. In 2016, he authored the book Getting Started with RethinkDB, published by Packt Publishing.

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