Sharing privacy protected and statistically sound clinical research data using outsourced data storage

DOI10.1155/2014/381361zbMath1442.94043OpenAlexW2027063081WikidataQ59051156 ScholiaQ59051156MaRDI QIDQ2336386

Ji Young Chun, Ik Rae Jeong, Geontae Noh

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/381361

Mathematics Subject Classification ID

Cryptography (94A60)

Uses Software

• PrivateLR

Cites Work

• Unnamed Item
• Generating shorter bases for hard random lattices
• Collision-Free Hashing from Lattice Problems
• A Simple BGN-Type Cryptosystem from LWE
• On the Existence of Pseudorandom Generators
• Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
• On Quantifying the Resistance of Concrete Hash Functions to Generic Multicollision Attacks
• On lattices, learning with errors, random linear codes, and cryptography
• Differential Privacy

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