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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

Andrew Harbison

Andrew Harbison is a Director and IT Forensics Lead at Grant Thornton

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 41 on sale from November 2019:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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