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Mobile Phone Forensic Challenges

Written by DFM Team


Mobile Phone Forensic Challenges

This feature article is all about how the fast growth of number and variety of mobile phones demands new skills from the digital forensic examiner


A great number of the mobile phones used worldwide every second require special knowledge and skills from digital forensic practitioners. More often it is
not enough to be an experienced practitioner in computer forensics to understand all the peculiarities and difficulties of mobile forensics. In this article we describe some of the more common technical problems encountered by practitioners in mobile forensics.

Market share of the end user desktop systems is divided between three majors, MS Windows, OS X from Apple Inc and OS Linux variations. That’s the opposite way round to the mobile devices OS. Each year brings to life a new major product, while the previous year leaders can easily lose their positions. 




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Featured Book

Learning iOS Forensics

A practical hands-on guide to acquire and analyse iOS devices with the latest forensic techniques and tools.

Meet the Authors

Scott C. Zimmerman

Scott C. Zimmerman is a CISSP qualified Information Security consultant and presenter

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 37 on sale from November 2018:


Crowd Sourcing Digital Evidence The Risk v The Reward

All digital devices used today can be considered as a potential source for digital evidence. Andrew Ryan investigates the current state in the art of crowd sourced digital evidence. Read More »

Recovery of Forensic Artifacts from Deleted Jump-List in Windows 10

Jump-Lists are widely discussed in forensics community since the release of Windows 7 and are having more capabilities to reveal forensics artifacts in Windows 10. Read More »

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Voice Biometrics

This article looks at the research and development in the field of Voice Biometrics and Speech Analytics, specifically Speaker Identification, Language and Gender Identification, Speech-to-Text Transcription, Keyword Spotting, and others. Read More »

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