Secret computation of purchase history data using somewhat homomorphic encryption

DOI10.1186/s40736-014-0005-xzbMath1337.94084OpenAlexW2154624359WikidataQ59396784 ScholiaQ59396784MaRDI QIDQ890595

Masaya Yasuda, Jun Kogure, Takeshi Shimoyama

Publication date: 10 November 2015

Published in: Pacific Journal of Mathematics for Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40736-014-0005-x

zbMATH Keywords

homomorphic encryptionLWE assumptionpacking methodsecure inner product

Mathematics Subject Classification ID

Cryptography (94A60)

Uses Software

• BKZ
• fhe

Cites Work

• (Leveled) fully homomorphic encryption without bootstrapping
• Multiparty Computation from Somewhat Homomorphic Encryption
• Homomorphic Evaluation of the AES Circuit
• Implementing Gentry’s Fully-Homomorphic Encryption Scheme
• Better Key Sizes (and Attacks) for LWE-Based Encryption
• BKZ 2.0: Better Lattice Security Estimates
• Packed Homomorphic Encryption Based on Ideal Lattices and Its Application to Biometrics
• On Ideal Lattices and Learning with Errors over Rings
• Fully Homomorphic Encryption over the Integers
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• Privacy-Preserving Wildcards Pattern Matching Using Symmetric Somewhat Homomorphic Encryption
• Fully homomorphic encryption using ideal lattices
• Fully Homomorphic Encryption over the Integers with Shorter Public Keys
• Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
• Worst‐Case to Average‐Case Reductions Based on Gaussian Measures
• Efficient Fully Homomorphic Encryption from (Standard) LWE
• Theory of Cryptography