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AI in digital forensics: Ontology engineering for cybercrime investigations
Author(s) -
Sikos Leslie F.
Publication year - 2020
Publication title -
wiley interdisciplinary reviews: forensic science
Language(s) - English
Resource type - Journals
ISSN - 2573-9468
DOI - 10.1002/wfs2.1394
Subject(s) - digital forensics , computer science , computer forensics , ontology , digital evidence , cybercrime , automation , field (mathematics) , data science , network forensics , world wide web , computer security , multimedia , the internet , engineering , philosophy , epistemology , mechanical engineering , mathematics , pure mathematics
In parallel with the exponentially growing number of computing devices and IoT networks, the data storage and processing requirements of digital forensics are also increasing. Therefore, automation is highly desired in this field, yet not readily available, and many challenges remain, ranging from unstructured forensic data derived from diverse sources to a lack of semantics defined for digital forensic investigation concepts. By formally describing digital forensic concepts and properties, purpose‐designed ontologies enable integrity checking via automated reasoning and facilitate anomaly detection for the chain of custody in digital forensic investigations. This article provides a review of these ontologies, and investigates their applicability in the automation of processing traces of digital evidence. This article is categorized under: Digital and Multimedia Science > Artificial Intelligence Digital and Multimedia Science > Cybercrime Investigation Digital and Multimedia Science > Cyber Threat Intelligence