dc.contributor.author	Al-Dhaqm, Arafat Mohammed Rashad
dc.date.accessioned	2023-08-21T02:17:44Z
dc.date.available	2023-08-21T02:17:44Z
dc.date.issued	2019
dc.description	Thesis (PhD. (Computer Science))
dc.description.abstract	Database Forensic Investigation (DBFI) domain is a significant field used to identify, collect, preserve, reconstruct, analyze and document database incidents. However, it is a heterogeneous, complex, and ambiguous domain due to the variety and multidimensional nature of database systems. Numerous specific DBFI models and frameworks have been proposed to solve specific database scenarios but there is a lack of structured and unified frameworks to facilitate managing, sharing and reusing of DBFI tasks and activities. Thus, this research developed a DBFI Metamodel (DBFIM) to structure and organize DBFI domain. A Design Science Research Methodology (DSRM) to provide a logical, testable and communicable metamodel was applied in this study. In this methodology, the steps included problem identification, define objectives, design and development, demonstration and evaluation, and communication. The outcome of this study is a DBFIM developed for structuring and organizing DBFI domain knowledge that facilitates the managing, sharing and reusing of DBFI domain knowledge among domain practitioners. DBFIM identifies, recognizes, extracts and matches different DBFI processes, concepts, activities, and tasks from different DBFI models into a developed metamodel, thus, allowing domain practitioners to derive/instantiate solution models easily. The DBFIM was validated using qualitative techniques: comparison against other models; face validity (domain experts); and case study. Comparisons against other models and face validity were applied to ensure completeness, logicalness, and usefulness of DBFIM against other DBFI domain models. Following this, two case studies were selected and implemented to demonstrate the applicability and effectiveness of the DBFIM in the DBFI domain using a DBFIM Prototype (DBFIMP). The results showed that DBFIMP allowed domain practitioners to create their solution models easily based on their requirements.
dc.description.sponsorship	Faculty of Engineering - School of Computing
dc.identifier.citation	NA
dc.identifier.issn	NA
dc.identifier.uri	http://openscience.utm.my/handle/123456789/616
dc.language.iso	en
dc.publisher	Universiti Teknologi Malaysia
dc.relation.ispartofseries	NA
dc.subject	Database design
dc.subject	Digital forensic science
dc.title	Simplified database forensic investigation using metamodeling approach
dc.type	Thesis
dc.type	Dataset

Simplified database forensic investigation using metamodeling approach

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