Book Image

Mastering Mobile Forensics

By : Soufiane Tahiri
Book Image

Mastering Mobile Forensics

By: Soufiane Tahiri

Overview of this book

Mobile forensics presents a real challenge to the forensic community due to the fast and unstoppable changes in technology. This book aims to provide the forensic community an in-depth insight into mobile forensic techniques when it comes to deal with recent smartphones operating systems Starting with a brief overview of forensic strategies and investigation procedures, you will understand the concepts of file carving, GPS analysis, and string analyzing. You will also see the difference between encryption, encoding, and hashing methods and get to grips with the fundamentals of reverse code engineering. Next, the book will walk you through the iOS, Android and Windows Phone architectures and filesystem, followed by showing you various forensic approaches and data gathering techniques. You will also explore advanced forensic techniques and find out how to deal with third-applications using case studies. The book will help you master data acquisition on Windows Phone 8. By the end of this book, you will be acquainted with best practices and the different models used in mobile forensics.
Table of Contents (14 chapters)
Mastering Mobile Forensics
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Preparing a Mobile Forensic Workstation
Index

It's going biometric!


Apple introduced Touch ID fingerprint recognition with the iPhone 5S, it's believed to represent a significant improvement of iPhone users' data protection. In its basic description, Touch ID takes a 550 dpi resolution picture of your fingerprint by the help of a capacitive sensor, then iOS stores a mathematical representation of this image in the Secure Enclave, so technically, no image of your fingerprint is stored either in the device or in Apple's servers (including iCloud).

To match a fingerprint there are two main features of the fingerprint pattern: patterns (Figure 1) and minutia points (Figure 2), as you can see from the following images (images from https://en.wikipedia.org/wiki/Fingerprint_recognition):

Figure 1

Figure 2: Minutia points from left to right: ridge ending, bifurcation, and short ridge (dot)

Basically, a fingerprint can be created from the difference in electrical conductivity between the epidermal and the dermal (not conductive) layers; this difference...