A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services

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dc.contributor.authorNagar, Ankur
dc.contributor.authorJoshi, Karuna Pande
dc.date.accessioned2018-10-23T13:17:30Z
dc.date.available2018-10-23T13:17:30Z
dc.date.issued2018-05-24
dc.description6th International IBM Cloud Academy Conference ICACON 2018, Japanen_US
dc.description.abstractOrganizations often use Cloud based services to manage their financial transactions, like fees payment, invoice payment etc., with their end users. These services allow payment using credit cards and thus need to adhere to the Payment Card Industry Data Security Standard (PCI DSS) standard. To effectively manage this policy, educational institutions dealing with card transaction currently monitor their payment gateway flow manually in order to be compliant. We propose a novel approach to automate this process using semantic web technology and natural language processing. In this paper we describe our technical approach and the ontology that we have developed to automatically extract key terms and rules from various compliance documents and represent them in a machine processable knowledge graph. We used Semantic Web’s Web Ontology Language (OWL) to create this knowledge graph which is machine processable and so can contribute significantly in automating the continuous monitoring of credit card PII data operation, transfer and sharing.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Servicesen_US
dc.format.extent8 pagesen_US
dc.genreconference paper pre-printen_US
dc.identifierdoi:10.13016/M2930NZ8R
dc.identifier.citationAnkur Nagar, Karuna Pande Joshi, A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services, 6th International IBM Cloud Academy Conference ICACON 2018, Japan, https://ebiquity.umbc.edu/paper/html/id/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Servicesen_US
dc.identifier.urihttp://hdl.handle.net/11603/11638
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectCloud Computingen_US
dc.subjectFinancial Regulationsen_US
dc.subjectSemantic Weben_US
dc.subjectNatural Language Processingen_US
dc.subjectPCI DSS policyen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleA Semantically Rich Knowledge Representation of PCI DSS for Cloud Servicesen_US
dc.typeTexten_US

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