The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis

Pavel Chikul, Hayretdin Bahşi, Olaf Maennel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the era of interconnected devices, digital crime scenes are characterized by their complexity and voluminous data from a plethora of heterogeneous sources. Addressing these twin challenges of data volume and heterogeneity is paramount for effective digital forensic investigations. This paper introduces a pioneering automated approach for the nuanced analysis of intricate cyber-physical crime environments within distributed settings. Central to our method is an event-centric ontology, anchored on the globally recognized UCO/CASE standard. Complementing this ontology is a robust software framework, designed to expedite data extraction processes, and ensure seamless interfacing with the knowledge repository. We demonstrate the usage of the framework on a public dataset, encapsulating a realistic crime scenario populated with diverse IoT devices.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Conference on Information Systems Security and Privacy
EditorsGabriele Lenzini, Paolo Mori, Steven Furnell
PublisherScience and Technology Publications, Lda
Pages570-581
Number of pages12
ISBN (Print)9789897586835
DOIs
StatePublished - 2024
Externally publishedYes
Event10th International Conference on Information Systems Security and Privacy, ICISSP 2024 - Rome, Italy
Duration: Feb 26 2024Feb 28 2024

Publication series

NameInternational Conference on Information Systems Security and Privacy
Volume1
ISSN (Electronic)2184-4356

Conference

Conference10th International Conference on Information Systems Security and Privacy, ICISSP 2024
Country/TerritoryItaly
CityRome
Period2/26/242/28/24

Keywords

  • Digital Forensics
  • Event Reconstruction
  • Forensic Ontology
  • Forensic Timeline
  • IoT
  • Knowledge Extraction

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

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