iPhone & Android Mobile Forensics
‘The latest techniques for the forensic acquisition and analysis of mobile devices’
| Location | Duration | ||
| Lancelot Institute In- Company and Customized Training Services | Request information | ||
| Partner with the Lancelot Institute | Request information | ||
This training benefits corporations, law firms and law enforcement / government agencies. It helps forensic examiners to assess their current knowledge and skills against mobile devices and applications; and it helps corporate application developers and security analysts understand their specific risks since they are able to see first-hand what is recoverable from the device. After attending this training, they will:
- Understand how the proliferation of [smart-] phones has affected standard computer forensics techniques and tools
- Have obtained the necessary knowledge and skills in Linux Forensics, required for proper investigation of iPhone & Android mobile devices
- Have received the tools, techniques and analysis tools needed to effectively investigate an Android phone and how the interaction of YAFFS2 file system with the flash memory is interpreted in a forensics environment. They will know how to obtain both a logical extraction and a physical image from a Droid; learn about passcode circumvention and have been challenged to a real-world analysis of a physical Android image dump file.
- Have gained real life experience in the forensic examination of iPhone, iPhone 3G, iPhone 3G[s], and iPhone 4 devices covering iPhone OS v1.x, v2.x, v3.x, and the new v4.x software. They have learned how to extract a logical and physical image from an iPhone and analyze the data using various forensic techniques. An in depth analysis will be performed in the lab where students will learn how to access critical evidence in the extracted image file.
Module 01: Course Introduction
Module 02: Linux forensics
Module 03: Linux for Mobile Forensics
Module 04: Google's Android
Module 05: Apple's iPhone
Module 02: Linux forensics
Module 03: Linux for Mobile Forensics
Module 04: Google's Android
Module 05: Apple's iPhone
