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Publications
A Trusted Federated System to Share Granular Data Among Disparate Database Resources
Documentation
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Published: March 15, 2021
Citation: Computer (IEEE Computer) vol. 54, no. 3, (March 2021) pp. 55-62
Author(s)
Joanna DeFranco (Penn State University), David Ferraiolo (NIST), Richard Kuhn (NIST), Joshua Roberts (NIST)
Sharing data between different organizations is a challenge primarily due to database management systems (DBMSs) being different types that impose different schemas to represent and retrieve data. In addition, maintaining security and privacy is a concern. The authors leverage two proven National Institute of Standards and Technology (NIST) tools to address this challenge: Next Generation Database Access Control (NDAC) and data block matrix.
Sharing data between different organizations is a challenge primarily due to database management systems (DBMSs) being different types that impose different schemas to represent and retrieve data. In addition, maintaining security and privacy is a concern. The authors leverage two proven National...
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Sharing data between different organizations is a challenge primarily due to database management systems (DBMSs) being different types that impose different schemas to represent and retrieve data. In addition, maintaining security and privacy is a concern. The authors leverage two proven National Institute of Standards and Technology (NIST) tools to address this challenge: Next Generation Database Access Control (NDAC) and data block matrix.
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Keywords
data sharing; federation; DBMS; NDAC; Next Generation Access Control; NGAC; block matrix
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