Sharing of sensitive health-related Big Data has raised technical challenges of ensuring robust data exchange while adhering to security and privacy regulations. This project is focused on developing the TRUsted Compliance Enforcement (TRUCE) Framework for sharing large velocity Health datasets. This framework, built using Semantic Web technologies, defines a Trust Score for each participant in the data exchange process and includes ontologies combined with policy reasoners that ensure data access complies with health regulations, like Health Insurance Portability and Accountability Act (HIPAA). This framework can be used by all entities who need to exchange high velocity-sensitive data while ensuring real-time compliance with data regulations
This project was sponsored by CARTA
Faculty from UMBC: Dr. Karuna P Joshi
Students: Dae-young Kim
- D. L. Kim, L. Elluri, and K. P. Joshi, “Trusted Compliance Enforcement Framework for Sharing Health Big Data“, InProceedings, IEEE BigData 2021 4th Special Session on HealthCare Data, December 2021.
- D. L. Kim and K. P. Joshi, “A Semantically Rich Knowledge Graph to Automate HIPAA Regulations for Cloud Health IT Services“, 7th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2021), May 2021.