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Cryptography 2019, 3(1), 7; https://doi.org/10.3390/cryptography3010007

Automating Privacy Compliance Using Policy Integrated Blockchain

1
Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD 21250, USA
2
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD 21250, USA
*
Author to whom correspondence should be addressed.
Received: 1 December 2018 / Revised: 31 January 2019 / Accepted: 31 January 2019 / Published: 5 February 2019
(This article belongs to the Special Issue Advances of Blockchain Technology and Its Applications)
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Abstract

An 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. View Full-Text
Keywords: blockchain; Big Data; Semantic Web; privacy policy; ontology; knowledge graph; data compliance blockchain; Big Data; Semantic Web; privacy policy; ontology; knowledge graph; data compliance
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Joshi, K.P.; Banerjee, A. Automating Privacy Compliance Using Policy Integrated Blockchain. Cryptography 2019, 3, 7.

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