The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis
Pavel Chikul, Hayretdin Bahşi, Hayretdin Bahşi, Olaf Maennel
2024
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.
DownloadPaper Citation
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis
SN - 978-989-758-683-5
AU - Chikul P.
AU - Bahşi H.
AU - Maennel O.
PY - 2024
SP - 570
EP - 581
DO - 10.5220/0012437700003648
PB - SciTePress
in Harvard Style
Chikul P., Bahşi H. and Maennel O. (2024). The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-683-5, SciTePress, pages 570-581. DOI: 10.5220/0012437700003648
in Bibtex Style
@conference{icissp24,
author={Pavel Chikul and Hayretdin Bahşi and Olaf Maennel},
title={The Design and Implementation of a Semantic Web Framework for the Event-Centric Digital Forensics Analysis},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2024},
pages={570-581},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012437700003648},
isbn={978-989-758-683-5},
}