Towards An Automated Semantically Rich Framework for Big Data Compliance

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Presented at IEEEBigDataSecurity2019 2019 by

Prof. Joshi

Big data analytics related to consumer behavior, market analysis, opinions, and recommendation often deal with end user's derived and inferred data, along with the observed data. To ensure consumer data protection, there has been a spurt in regulations, like the European Union’s General Data Protection Regulation (EU GDPR), Payment Card Industry Data Security Standard (PCI DSS) etc. that must be adhered to by Big Data Practitioners. However, these Data protection regulations are currently available only in textual format and so require significant human time and effort to ensure compliance and thereby prevent data breaches. We envision that an integrated, semantically rich, machine processable approach that captures the various data compliance regulations, as they apply to Big Data on the Cloud, will significantly help in automating an organization’s data compliance processes. In addition to saving organizational resources dedicated to compliance adherence, it will also help in proactively identifying data breaches. In this talk, we will present our preliminary results and ongoing work.