Open AccessDevelopment and validation of a Database Forensic Metamodel (DBFM)
Author(s) -
Arafat Al-Dhaqm,
Shukor Abd Razak,
Siti Hajar Othman,
Md. Asri Ngadi,
Mohammed Nazir Ahmed,
Abdulalem Ali Mohammed
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0170793
Subject(s) - metamodeling , computer science , process (computing) , focus (optics) , software mining , database , data science , data mining , software engineering , software , programming language , software development , software construction , physics , optics
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.