A framework for identifying associations in digital evidence using metadata

Raghavan, Sriram (2014) A framework for identifying associations in digital evidence using metadata. PhD thesis, Queensland University of Technology.

Abstract

Digital forensics concerns the analysis of electronic artifacts to reconstruct events such as cyber crimes. This research produced a framework to support forensic analyses by identifying associations in digital evidence using metadata. It showed that metadata based associations can help uncover the inherent relationships between heterogeneous digital artifacts thereby aiding reconstruction of past events by identifying artifact dependencies and time sequencing. It also showed that metadata association based analysis is amenable to automation by virtue of the ubiquitous nature of metadata across forensic disk images, files, system and application logs and network packet captures. The results prove that metadata based associations can be used to extract meaningful relationships between digital artifacts, thus potentially benefiting real-life forensics investigations.

Impact and interest:

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ID Code: 72659
Item Type: QUT Thesis (PhD)
Supervisor: Fidge, Colin & Mohay, George
Keywords: Association Group, Digital Artifact, Evidence Composition, Metadata match, Metadata Associations Model, Provenance Information Model, Similarity Pocket, Similarity Group, Unified Forensic Analysis
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 26 Jun 2014 01:45
Last Modified: 08 Sep 2015 05:57

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