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Conceptual Model for Crowd-Sourcing Digital Forensic Evidence
University of Pretoria, ZAF.
University of Pretoria, ZAF.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-4071-4596
2022 (English)In: Lecture Notes in Networks and Systems / [ed] Ahmed M.B., Boudhir A.A., Kara I.R., Jain V., Mellouli S., Springer Science+Business Media B.V., 2022, Vol. 393, p. 1085-1099Conference paper, Published paper (Refereed)
Abstract [en]

COVID-19 scourge has made it challenging to combat digital crimes due to the complexity of attributing potential security incidents to perpetrators. Existing literature does not accurately pinpoint relevant models/frameworks that can be leveraged for crowd-sourcing digital forensic evidence. This paper suggests using feature engineering approaches for crowd-sourcing digital evidence to profile potential security incidents, for example, in a COVID-19 scenario. The authors have proposed a conceptual Crowd-sourcing (CRWD) model with three main components: Forensic data collection, feature engineering and the application of machine learning approaches, and also assessment with standardized reporting. This contribution is significantly poised to solve future investigative capabilities for forensic practitioners and computer security researchers. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2022. Vol. 393, p. 1085-1099
Series
Lecture Notes in Networks and Systems, ISSN 23673370, E-ISSN 23673389
Keywords [en]
Citizen-media, COVID-19, Crowd-sourcing, Digital evidence, Digital forensics
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-22774DOI: 10.1007/978-3-030-94191-8_88ISI: 000928840400088Scopus ID: 2-s2.0-85126379281ISBN: 9783030941901 (print)OAI: oai:DiVA.org:bth-22774DiVA, id: diva2:1647134
Conference
6th International Conference on Smart City Applications, SCA 2021, Safranbolu, Turkey, 27 October 2021 through 29 October 2021
Available from: 2022-03-25 Created: 2022-03-25 Last updated: 2023-03-16Bibliographically approved

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Kebande, Victor R.

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CiteExportLink to record
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Citation style
  • apa
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