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A mobile forensic visualization tool for android data partition

In the 21th century, digital crimes would be one of the biggest challenges to government and public. Digital crime cases that involve mobile phones are on the rise, resulting in digital forensic analysis tools are on the demand. However, there are limitations in the current mobile forensic too...

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Main Authors: Chow, Xiang Quan, Ab Rahman, Nurul Hidayah
Format: Other
Language:English
Published: Penerbit UTHM 2021
Subjects:
T10.5-11.9 Communication of technical information
T173.2-174.5 Technological change
Online Access:http://eprints.uthm.edu.my/6689/1/P13604_0edf1c731307d1115b17cb2ff2d497c8.pdf
http://eprints.uthm.edu.my/6689/
https://doi.org/10.30880/aitcs.2021.02.02.003
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spelling my.uthm.eprints.66892022-03-14T02:04:11Z http://eprints.uthm.edu.my/6689/ A mobile forensic visualization tool for android data partition Chow, Xiang Quan Ab Rahman, Nurul Hidayah T10.5-11.9 Communication of technical information T173.2-174.5 Technological change In the 21th century, digital crimes would be one of the biggest challenges to government and public. Digital crime cases that involve mobile phones are on the rise, resulting in digital forensic analysis tools are on the demand. However, there are limitations in the current mobile forensic tool, such as lack of automation and visualization process, false positives are too high and performance of the analysis is low. This study therefore aims to design, develop and test a tool - MF Visualizer – to visualize the metadata from databases in the Android data partition. The android data partition is chosen as the scope of the project. MF Visualizer follows the mandatory requirements of the forensic tool and is compatible with suitable modules to accomplish the task. The tool is developed by adopting Object-Oriented Software Development Model and using .Net Windows Presentation Foundation (WPF) framework to develop. The findings show that the tools could extract metadata from android data partitions as well as visualize the data in different visualization forms such as Bar Chart, Word Cloud, Map, Pie Chart and the Timeline method. Functionality and users testing results indicate that MF Visualizer has achieved the project objectives. This further indicates that MF Visualizer is a promising tool to be used in a real world scenario with further improvements. Penerbit UTHM 2021 Other NonPeerReviewed text en http://eprints.uthm.edu.my/6689/1/P13604_0edf1c731307d1115b17cb2ff2d497c8.pdf Chow, Xiang Quan and Ab Rahman, Nurul Hidayah (2021) A mobile forensic visualization tool for android data partition. Penerbit UTHM, UTHM. https://doi.org/10.30880/aitcs.2021.02.02.003
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T10.5-11.9 Communication of technical information
T173.2-174.5 Technological change
spellingShingle T10.5-11.9 Communication of technical information
T173.2-174.5 Technological change
Chow, Xiang Quan
Ab Rahman, Nurul Hidayah
A mobile forensic visualization tool for android data partition
description In the 21th century, digital crimes would be one of the biggest challenges to government and public. Digital crime cases that involve mobile phones are on the rise, resulting in digital forensic analysis tools are on the demand. However, there are limitations in the current mobile forensic tool, such as lack of automation and visualization process, false positives are too high and performance of the analysis is low. This study therefore aims to design, develop and test a tool - MF Visualizer – to visualize the metadata from databases in the Android data partition. The android data partition is chosen as the scope of the project. MF Visualizer follows the mandatory requirements of the forensic tool and is compatible with suitable modules to accomplish the task. The tool is developed by adopting Object-Oriented Software Development Model and using .Net Windows Presentation Foundation (WPF) framework to develop. The findings show that the tools could extract metadata from android data partitions as well as visualize the data in different visualization forms such as Bar Chart, Word Cloud, Map, Pie Chart and the Timeline method. Functionality and users testing results indicate that MF Visualizer has achieved the project objectives. This further indicates that MF Visualizer is a promising tool to be used in a real world scenario with further improvements.
format Other
author Chow, Xiang Quan
Ab Rahman, Nurul Hidayah
author_facet Chow, Xiang Quan
Ab Rahman, Nurul Hidayah
author_sort Chow, Xiang Quan
title A mobile forensic visualization tool for android data partition
title_short A mobile forensic visualization tool for android data partition
title_full A mobile forensic visualization tool for android data partition
title_fullStr A mobile forensic visualization tool for android data partition
title_full_unstemmed A mobile forensic visualization tool for android data partition
title_sort mobile forensic visualization tool for android data partition
publisher Penerbit UTHM
publishDate 2021
url http://eprints.uthm.edu.my/6689/1/P13604_0edf1c731307d1115b17cb2ff2d497c8.pdf
http://eprints.uthm.edu.my/6689/
https://doi.org/10.30880/aitcs.2021.02.02.003
_version_ 1738581522954321920
score 13.211869

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