Automating Privacy Compliance Using Policy Integrated Blockchain

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dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorBanerjee, Agniva
dc.date.accessioned2019-02-27T15:46:04Z
dc.date.available2019-02-27T15:46:04Z
dc.date.issued2019-02-05
dc.description.abstractAn essential requirement of any information management system is to protect data and resources against breach or improper modifications, while at the same time ensuring data access to legitimate users. Systems handling personal data are mandated to track its flow to comply with data protection regulations. We have built a novel framework that integrates semantically rich data privacy knowledge graph with Hyperledger Fabric blockchain technology, to develop an automated access-control and audit mechanism that enforces users’ data privacy policies while sharing their data with third parties. Our blockchain based data-sharing solution addresses two of the most critical challenges: transaction verification and permissioned data obfuscation. Our solution ensures accountability for data sharing in the cloud by incorporating a secure and efficient system for End-to-End provenance. In this paper, we describe this framework along with the comprehensive semantically rich knowledge graph that we have developed to capture rules embedded in data privacy policy documents. Our framework can be used by organizations to automate compliance of their Cloud datasets.en_US
dc.description.sponsorshipThis research was partially supported by a DoD supplement to the NSF award #1439663: NSF I/UCRC Center for Hybrid Multicore Productivity Research (CHMPR).en_US
dc.description.urihttps://www.mdpi.com/2410-387X/3/1/7en_US
dc.format.extent22 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2vrgk-5s0u
dc.identifier.citationKaruna Pande Joshi, Agniva Banerjee, Automating Privacy Compliance Using Policy Integrated Blockchain, Cryptography 2019, 3(1), 7, https://doi.org/10.3390/cryptography3010007en_US
dc.identifier.urihttps://doi.org/10.3390/cryptography3010007
dc.identifier.urihttp://hdl.handle.net/11603/12881
dc.language.isoen_USen_US
dc.publisherMDPIen_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 Computer Science and Electrical Engineering Department
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.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectblockchainen_US
dc.subjectbig dataen_US
dc.subjectsemantic weben_US
dc.subjectprivacy policyen_US
dc.subjectontologyen_US
dc.subjectknowledge graphen_US
dc.subjectdata complianceen_US
dc.subjectUMBC Ebiquity Research Group
dc.titleAutomating Privacy Compliance Using Policy Integrated Blockchainen_US
dc.typeTexten_US

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