The Use of Ontologies in Forensic Analysis of Smartphone Content

Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis...

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Bibliographic Details
Published in:The journal of digital forensics, security and law security and law, 2015-01, Vol.10 (4), p.105
Main Authors: Alzaabi, Mohammed, Martin, Thomas, Taha, Kamal, Jones, Andy
Format: Article
Language:English
Subjects:
Criminal investigations
Data mining
Evidence
Hard disks
Knowledge management
Library management
Ontology
Queries
Resource Description Framework-RDF
Semantic web
Semantics
Smartphones
Web Ontology Language-OWL
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Summary:Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis is undertaken by a human, which makes it dependent on the experience of the investigator. To overcome such impediments, an automated technique can be utilized in order to aid the investigator to quickly and efficiently analyze the data. In this paper, we propose F-DOS; a set of ontologies that models the smartphone content for the purpose of forensic analysis. F-DOS can form a knowledge management component in a forensic analysis system. Its importance lies in its ability to encode the semantics of the smartphone content using concepts and their relationships that are modeled by F-DOS.
ISSN:1558-7223
1558-7215
1558-7223
DOI:10.15394/jdfsl.2015.1215