Homomorphically encrypted \(k\)-means on cloud-hosted servers with low client-side load

DOI10.1007/S00607-019-00711-WzbMath1459.68054OpenAlexW2915650002WikidataQ121818614 ScholiaQ121818614MaRDI QIDQ2218487

Georgios Sakellariou, Anastasios Gounaris

Publication date: 15 January 2021

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-019-00711-w

zbMATH Keywords

\(k\)-meansdata analyticshomomorphic encryptionencrypted analytics

Mathematics Subject Classification ID

Data encryption (aspects in computer science) (68P25)

Uses Software

• HElib
• GitHub
• CryptDB

Cites Work

• Oblivious sampling with applications to two-party \(k\)-means clustering
• Security against covert adversaries: Efficient protocols for realistic adversaries
• (Leveled) fully homomorphic encryption without bootstrapping
• Homomorphic Evaluation of the AES Circuit
• Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP
• Implementing Gentry’s Fully-Homomorphic Encryption Scheme
• A public key cryptosystem and a signature scheme based on discrete logarithms
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• Fully homomorphic encryption using ideal lattices
• Efficient Fully Homomorphic Encryption from (Standard) LWE

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