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  5. Smartphone Forensic Analysis: A Case Study for Obtaining Root Access of an Android Samsung S3 Device and Analyse the Image without an Expensive Commercial Tool
 
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Smartphone Forensic Analysis: A Case Study for Obtaining Root Access of an Android Samsung S3 Device and Analyse the Image without an Expensive Commercial Tool

Author(s)
Faheem, Muhammad  
Le-Khac, Nhien-An  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/6552
Date Issued
2014
Date Available
2015-05-13T11:47:19Z
Abstract
Smartphone is a very useful and compact device that fits in persons pocket, but at the same time itcan be used as a tool for criminal activities. In this day and age, people increasingly rely on smartphones rather than desktop computers or laptops to exchange messages, share videos and audiomessages. A smartphone is almost equivalent in its application to a PC, hence there are securityrisks associated with its use such as carrying out a digital crime or becoming a victim of one. Criminalscan use smartphones for a number of activities. Namely, committing a fraud over e-mail,harassment via text messages, drug trafficking, child pornography, communications related to narcotics,etc. It is a great challenge for forensic experts to extract data from a smartphone for forensic purposes that can be used as evidence in the court of law. In this case study, I show how to obtain the root access of Samsung S3 phone, how to create DD image and then how to examine DD image via commercial tool like UFED physical analyzer trial version which doesnt support Android devices. I will extract the messages for Viber on trial version of UFED Physical analyzer.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Scientific Research Publishing
Journal
Journal of Information Security
Volume
5
Start Page
83
End Page
90
Copyright (Published Version)
2014 the Authors and Scientific Research Publishing Inc
Subjects

Machine learning

Statistics

DOI
10.4236/jis.2014.53009
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

1.73 MB

Format

Adobe PDF

Checksum (MD5)

aca9ca8398e7c057eeec69e356b0d71d

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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