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AuthorAbu Musa, Tahani Hussein
AuthorBouras, Abdelaziz
Available date2021-10-19T06:13:04Z
Publication Date2021
Publication NameQatar University Annual Research an Exhibition 2021 (quarfe)
CitationAbu-Musa T. H., Bouras A., "Anomaly Detection in Blockchain-enabled Supply Chain: An Ontological Approach", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0169
URIhttps://doi.org/10.29117/quarfe.2021.0169
URIhttp://hdl.handle.net/10576/24533
AbstractIn our proposed work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the global Supply Chain, improve the multi-level business processes workflow in the Supply Chain domain, and will optimize the processes in the Supply Chain in terms of security and automation. In the proposed work Ontology is utilized to provide anomaly classification in business transactions, based on crafted SWRL rules for that purpose. Our work has been evaluated based on logs generated from simulating a generic business process model related to a procurement scenario, and the findings show that our framework can detect and classify anomalous transactions form those logs.
Languageen
PublisherQatar University Press
SubjectAnomaly detection
SubjectBusiness process
SubjectSupply chain
SubjectBlockchain
TitleAnomaly Detection in Blockchain-enabled Supply Chain: An Ontological Approach
TypePoster


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