A Trusted Federated System to Share Granular Data Among Disparate Database Resources
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View abstract on PubMed
Summary
This summary is machine-generated.Sharing data across organizations is difficult due to varying database systems and privacy concerns. This study uses National Institute of Standards and Technology (NIST) tools, Next Generation Database Access Control (NDAC) and data block matrix, to overcome these obstacles.
Area Of Science
- Computer Science
- Information Security
- Database Management
Background
- Inter-organizational data sharing is hindered by heterogeneous database management systems (DBMSs) and differing data schemas.
- Ensuring data security and user privacy presents a significant challenge in data exchange scenarios.
Purpose Of The Study
- To present a novel approach for secure and efficient data sharing between organizations with disparate database systems.
- To demonstrate the utility of established National Institute of Standards and Technology (NIST) tools in addressing data integration and access control challenges.
Main Methods
- The study employs two NIST-developed tools: Next Generation Database Access Control (NDAC) for granular access management.
- Utilizes the data block matrix technique to standardize data representation and facilitate cross-system compatibility.
Main Results
- The proposed methodology effectively overcomes schema heterogeneity issues inherent in different DBMSs.
- Demonstrates enhanced data security and privacy preservation during inter-organizational data sharing.
Conclusions
- The integration of NDAC and data block matrix offers a robust solution for secure data sharing across diverse database environments.
- This approach facilitates seamless data exchange while upholding critical security and privacy standards.
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