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

Joanna F. Defranco; David F. Ferraiolo; Rick Kuhn; Joshua Roberts

doi:10.1109/MC.2021.3049888

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

Joanna F. Defranco
, David F. Ferraiolo
, Rick Kuhn
, Joshua Roberts

Engineering Division (Great Valley)

Research output: Contribution to specialist publication › Article

4 Scopus citations

Abstract

Sharing data between organizations is difficult due to different database management systems imposing different schemas as well as security and privacy concerns. We leverage two proven NIST technologies to address the problem: Next Generation Database Access Control and the data block matrix.

Original language	English (US)
Pages	55-62
Number of pages	8
Volume	54
No	3
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2021.3049888
State	Published - Mar 2021

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/MC.2021.3049888

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title = "A Trusted Federated System to Share Granular Data among Disparate Database Resources",

abstract = "Sharing data between organizations is difficult due to different database management systems imposing different schemas as well as security and privacy concerns. We leverage two proven NIST technologies to address the problem: Next Generation Database Access Control and the data block matrix.",

author = "Defranco, \{Joanna F.\} and Ferraiolo, \{David F.\} and Rick Kuhn and Joshua Roberts",

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language = "English (US)",

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AU - Defranco, Joanna F.

AU - Ferraiolo, David F.

AU - Kuhn, Rick

AU - Roberts, Joshua

PY - 2021/3

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N2 - Sharing data between organizations is difficult due to different database management systems imposing different schemas as well as security and privacy concerns. We leverage two proven NIST technologies to address the problem: Next Generation Database Access Control and the data block matrix.

AB - Sharing data between organizations is difficult due to different database management systems imposing different schemas as well as security and privacy concerns. We leverage two proven NIST technologies to address the problem: Next Generation Database Access Control and the data block matrix.

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DO - 10.1109/MC.2021.3049888

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VL - 54

SP - 55

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JO - Computer

JF - Computer

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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