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Development and validation of a Database Forensic Metamodel (DBFM)

Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often...

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Autores principales: Al-dhaqm, Arafat, Razak, Shukor, Othman, Siti Hajar, Ngadi, Asri, Ahmed, Mohammed Nazir, Ali Mohammed, Abdulalem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287479/
https://www.ncbi.nlm.nih.gov/pubmed/28146585
http://dx.doi.org/10.1371/journal.pone.0170793
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author Al-dhaqm, Arafat
Razak, Shukor
Othman, Siti Hajar
Ngadi, Asri
Ahmed, Mohammed Nazir
Ali Mohammed, Abdulalem
author_facet Al-dhaqm, Arafat
Razak, Shukor
Othman, Siti Hajar
Ngadi, Asri
Ahmed, Mohammed Nazir
Ali Mohammed, Abdulalem
author_sort Al-dhaqm, Arafat
collection PubMed
description Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent.
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spelling pubmed-52874792017-02-17 Development and validation of a Database Forensic Metamodel (DBFM) Al-dhaqm, Arafat Razak, Shukor Othman, Siti Hajar Ngadi, Asri Ahmed, Mohammed Nazir Ali Mohammed, Abdulalem PLoS One Research Article Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent. Public Library of Science 2017-02-01 /pmc/articles/PMC5287479/ /pubmed/28146585 http://dx.doi.org/10.1371/journal.pone.0170793 Text en © 2017 Al-dhaqm et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Al-dhaqm, Arafat
Razak, Shukor
Othman, Siti Hajar
Ngadi, Asri
Ahmed, Mohammed Nazir
Ali Mohammed, Abdulalem
Development and validation of a Database Forensic Metamodel (DBFM)
title Development and validation of a Database Forensic Metamodel (DBFM)
title_full Development and validation of a Database Forensic Metamodel (DBFM)
title_fullStr Development and validation of a Database Forensic Metamodel (DBFM)
title_full_unstemmed Development and validation of a Database Forensic Metamodel (DBFM)
title_short Development and validation of a Database Forensic Metamodel (DBFM)
title_sort development and validation of a database forensic metamodel (dbfm)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287479/
https://www.ncbi.nlm.nih.gov/pubmed/28146585
http://dx.doi.org/10.1371/journal.pone.0170793
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