A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services

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
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
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Servicesen
dc.format.extent8 pagesen
dc.genreconference paper pre-printen
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
dc.identifier.urihttp://hdl.handle.net/11603/11638
dc.language.isoenen
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
dc.subjectFinancial Regulationsen
dc.subjectSemantic Weben
dc.subjectNatural Language Processingen
dc.subjectPCI DSS policyen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleA Semantically Rich Knowledge Representation of PCI DSS for Cloud Servicesen
dc.typeTexten

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