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    A Knowledge Representation of Cloud Data controls for EU GDPR Compliance

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    891.pd.pdf (310.7Kb)
    Links to Files
    https://ieeexplore.ieee.org/document/8495788
    Permanent Link
    http://hdl.handle.net/11603/11637
    Collections
    • UMBC Faculty Collection
    • UMBC Information Systems Department
    • UMBC Student Collection
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    Author/Creator
    Elluri, Lavanya
    Joshi, Karuna Pande
    Date
    2018-07-06
    Type of Work
    2 pages
    Text
    conference papers and proceedings preprints
    Citation of Original Publication
    L. Elluri and K. P. Joshi, "A Knowledge Representation of Cloud Data Controls for EU GDPR Compliance," 2018 IEEE World Congress on Services (SERVICES), San Francisco, CA, 2018, pp. 45-46, doi: 10.1109/SERVICES.2018.00036.
    Rights
    This 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.
    © 2018 IEEE
    Subjects
    Data Protection
    Ontology
    General Data Protection Regulation
    Organizations
    UMBC Ebiquity Research Group
    Abstract
    The rollout of European Union’s General Data Protection Regulation (EU GDPR) will have a far-reaching effect on Cloud data privacy and compliance for both the Cloud Service Providers (Data Providers) and the Consumers (Data Consumers). GDPR mandates that organizations collecting and processing information related to EU citizens adhere to its articles irrespective of where they are located or where the data is stored. This regulation is currently available only in the textual format and so requires significant manual effort to ensure its compliance. We have developed a semantically rich Ontology (or knowledge graph) to represent the rules and regulations mandated for both the cloud data consumers and providers by EU GDPR. In the Ontology, we have identified the different roles and their corresponding obligations under the GDPR articles. This knowledge graph, that is available in public domain, is machine processable and will help in automating EU GDPR regulation compliance.


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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.