A Trusted Federated System to Share Granular Data Among Disparate Database Resources

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.