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How Ontologies Have Supported Digital Forensics: Review and Recommendations
T J Silva1, E OliveiraJr2, A F Zorzo3
1Informatics Department, State University of Maringá. Maringá, Brazil.
Forensic Science Review
|August 17, 2024
Summary
This study reviews digital forensics (DF) ontologies to standardize terminology and concepts. It identifies methodologies, types, and applications of 29 ontologies, offering recommendations for future research and practice.
Area of Science:
- Computer Science
- Information Security
Background:
- Digital media evolution has increased digital crimes, necessitating advancements in computer forensics to digital forensics (DF).
- Formalizing terminologies and concepts is crucial for common vocabulary comprehension in DF.
- Ontologies are key initiatives for identifying core concepts and supporting DF.
Purpose of the Study:
- To systematically review and analyze existing ontologies developed for digital forensics (DF).
- To identify ontology building methodologies, types, feasibility, evaluation methods, and supported DF phases/subareas.
- To provide recommendations for future ontology-based support in DF investigations.
Main Methods:
- Conducted a systematic literature review (SLR) of primary studies on DF ontologies.
- Analyzed 29 identified ontologies to answer six research questions.
- Synthesized findings on ontology characteristics and their application in DF.
Main Results:
- Identified various ontology building methodologies and types used in DF.
- Determined feasibility points and evaluation/assessment methods for DF ontologies.
- Cataloged the DF phases and subareas supported by the reviewed ontologies.
Conclusions:
- The review highlights the diverse landscape of DF ontologies and their current support capabilities.
- Recommendations are provided to address research gaps and enhance ontology-based support for DF investigations.
- This work guides researchers and practitioners in leveraging ontologies for more effective digital forensic analysis.
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