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 forensi...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
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| Online Access: | http://eprints.uthm.edu.my/6496/ http://eprints.uthm.edu.my/6496/1/24p%20MUHAMMAD%20THARIQ%20ABDUL%20RAZAK.pdf http://eprints.uthm.edu.my/6496/2/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6496/3/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20WATERMARK.pdf |
| _version_ | 1848888826291814400 |
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| author | Abdul Razak, Muhammad Thariq |
| author_facet | Abdul Razak, Muhammad Thariq |
| author_sort | Abdul Razak, Muhammad Thariq |
| building | UTHM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:16:27Z |
| format | Thesis |
| id | uthm-6496 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-15T20:16:27Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-64962022-02-06T21:21:38Z http://eprints.uthm.edu.my/6496/ Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness Abdul Razak, Muhammad Thariq QA75 Electronic computers. Computer science T Technology (General) TK7800-8360 Electronics 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 NonPeerReviewed text en http://eprints.uthm.edu.my/6496/1/24p%20MUHAMMAD%20THARIQ%20ABDUL%20RAZAK.pdf text en http://eprints.uthm.edu.my/6496/2/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/6496/3/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20WATERMARK.pdf Abdul Razak, Muhammad Thariq (2020) Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness. Masters thesis, Universiti Tun Hussein Malaysia. |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) TK7800-8360 Electronics Abdul Razak, Muhammad Thariq Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science T Technology (General) TK7800-8360 Electronics |
| url | http://eprints.uthm.edu.my/6496/ http://eprints.uthm.edu.my/6496/1/24p%20MUHAMMAD%20THARIQ%20ABDUL%20RAZAK.pdf http://eprints.uthm.edu.my/6496/2/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6496/3/MUHAMMAD%20THARIQ%20ABDUL%20RAZAK%20WATERMARK.pdf |