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Development and validation of a Database Forensic Metamodel (DBFM)

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  • Arafat Al-dhaqm
  • Shukor Razak
  • Siti Hajar Othman
  • Asri Ngadi
  • Mohammed Nazir Ahmed
  • Abdulalem Ali Mohammed

Abstract

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.

Suggested Citation

  • Arafat Al-dhaqm & Shukor Razak & Siti Hajar Othman & Asri Ngadi & Mohammed Nazir Ahmed & Abdulalem Ali Mohammed, 2017. "Development and validation of a Database Forensic Metamodel (DBFM)," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-34, February.
    • Handle: RePEc:plo:pone00:0170793
    DOI: 10.1371/journal.pone.0170793
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    Cited by:

    1. Farid Shirvani & Ghassan Beydoun & Pascal Perez & William Scott & Peter Campbell, 2021. "An Architecture Framework Approach for Complex Transport Projects," Information Systems Frontiers, Springer, vol. 23(3), pages 575-595, June.

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