Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness

M-health is the current application that capable to monitor and detect human biological change and used the Internet as a platform to transfer and receive the data from the cloud providers. However, the advancement of Internet of Things (IoT) technology poses a great challenge for digital forensic e...

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Main Author:	Abdul Razak, Muhammad Thariq
Format:	Thesis
Language:	English English English
Published:	2020
Subjects:	HD8038 Professions (General) Professional employees
Online Access:	http://eprints.uthm.edu.my/1066/1/24p%20MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK.pdf http://eprints.uthm.edu.my/1066/2/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1066/3/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20WATERMARK.pdf
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id	my-uthm-ep.1066
record_format	uketd_dc
spelling	my-uthm-ep.10662021-09-21T05:04:37Z Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness 2020-11 Abdul Razak, Muhammad Thariq HD8038 Professions (General). Professional employees M-health is the current application that capable to monitor and detect human biological change and used the Internet as a platform to transfer and receive the data from the cloud providers. However, the advancement of Internet of Things (IoT) technology poses a great challenge for digital forensic experts in order to preserve, acquire and analyse digital evidence. Digital evidence taxonomy is one technique in digital forensics that facilitates digital forensics readiness and integration with knowledge sharing approach is necessary to allow digital forensics experts to share their knowledge. Therefore, this research was carried out that consists three phases, namely (1) initial phase, (2) intermediate phase and (3) final phase. In the initial phase, a systematic literature review was conducted to identify any potential gaps from the existing studies. Subsequently, digital evidence taxonomy in the IoT forensics layers was adopted, which consisted of three artefact categories to represent the IoT forensics layers. In the intermediate phase, 34 top rating m-health apps were used as a case study to validate the digital evidence taxonomy. From the analysis of the result, various types of information for forensic investigation were acquired, such as type of outdoor activity, activity timestamp, client IP address and date accessed. In the final phase, the M-Health Digital Evidence Taxonomy System (MDETS) was developed as a proof of concept to demonstrate the integration of digital evidence taxonomy with the knowledge-sharing approach to facilitate digital forensic readiness. Interviews were used as the instrument tool to evaluate knowledge sharing in terms of people, process and technology elements in enabling digital forensic readiness. The results from the interviews support that knowledge sharing facilitates digital forensic readiness in terms of people, process and technology elements. As a conclusion, the integration of digital evidence taxonomy with the knowledge-sharing approach gives the opportunity for the digital forensic community to enhance the existing approach or procedure to increase the findings of a digital forensic investigation and make digital forensic readiness more proactive within the organisation. 2020-11 Thesis http://eprints.uthm.edu.my/1066/ http://eprints.uthm.edu.my/1066/1/24p%20MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK.pdf text en public http://eprints.uthm.edu.my/1066/2/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1066/3/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	HD8038 Professions (General) Professional employees
spellingShingle	HD8038 Professions (General) Professional employees Abdul Razak, Muhammad Thariq Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
description	M-health is the current application that capable to monitor and detect human biological change and used the Internet as a platform to transfer and receive the data from the cloud providers. However, the advancement of Internet of Things (IoT) technology poses a great challenge for digital forensic experts in order to preserve, acquire and analyse digital evidence. Digital evidence taxonomy is one technique in digital forensics that facilitates digital forensics readiness and integration with knowledge sharing approach is necessary to allow digital forensics experts to share their knowledge. Therefore, this research was carried out that consists three phases, namely (1) initial phase, (2) intermediate phase and (3) final phase. In the initial phase, a systematic literature review was conducted to identify any potential gaps from the existing studies. Subsequently, digital evidence taxonomy in the IoT forensics layers was adopted, which consisted of three artefact categories to represent the IoT forensics layers. In the intermediate phase, 34 top rating m-health apps were used as a case study to validate the digital evidence taxonomy. From the analysis of the result, various types of information for forensic investigation were acquired, such as type of outdoor activity, activity timestamp, client IP address and date accessed. In the final phase, the M-Health Digital Evidence Taxonomy System (MDETS) was developed as a proof of concept to demonstrate the integration of digital evidence taxonomy with the knowledge-sharing approach to facilitate digital forensic readiness. Interviews were used as the instrument tool to evaluate knowledge sharing in terms of people, process and technology elements in enabling digital forensic readiness. The results from the interviews support that knowledge sharing facilitates digital forensic readiness in terms of people, process and technology elements. As a conclusion, the integration of digital evidence taxonomy with the knowledge-sharing approach gives the opportunity for the digital forensic community to enhance the existing approach or procedure to increase the findings of a digital forensic investigation and make digital forensic readiness more proactive within the organisation.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abdul Razak, Muhammad Thariq
author_facet	Abdul Razak, Muhammad Thariq
author_sort	Abdul Razak, Muhammad Thariq
title	Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
title_short	Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
title_full	Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
title_fullStr	Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
title_full_unstemmed	Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
title_sort	mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Computer Science and Information Technology
publishDate	2020
url	http://eprints.uthm.edu.my/1066/1/24p%20MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK.pdf http://eprints.uthm.edu.my/1066/2/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1066/3/MUHAMMAD%20THARIQ%20BIN%20ABDUL%20RAZAK%20WATERMARK.pdf
_version_	1747830732186714112

Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness

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