Algorithmic acceleration of B/FV-like somewhat homomorphic encryption for compute-enabled RAM

DOI10.1007/978-3-030-81652-0_3zbMath1485.94122OpenAlexW3184762043MaRDI QIDQ832329

Jonathan Takeshita, Dayane Reis, Michael Niemier, Taeho Jung, Ting Gong, Xiaobo Sharon Hu

Publication date: 25 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-81652-0_3

zbMATH Keywords

somewhat homomorphic encryptionB/FV schemecompute-enabled RAMfull-RNS variant

Mathematics Subject Classification ID

Cryptography (94A60) Data encryption (aspects in computer science) (68P25)

Related Items (1)

SLAP: simpler, improved private stream aggregation from ring learning with errors

Uses Software

• HElib
• PALISADE

Cites Work

• Unnamed Item
• Accelerating homomorphic evaluation on reconfigurable hardware
• Accelerating LTV based homomorphic encryption in reconfigurable hardware
• A full RNS variant of FV like somewhat homomorphic encryption schemes
• Speeding up the number theoretic transform for faster ideal lattice-based cryptography
• An improved RNS variant of the BFV homomorphic encryption scheme
• Homomorphic encryption for arithmetic of approximate numbers
• A Subfield Lattice Attack on Overstretched NTRU Assumptions
• Bootstrapping for HElib
• A Custom Accelerator for Homomorphic Encryption Applications
• Fast base extension using a redundant modulus in RNS
• ASYMPTOTIC PROPERTIES OF THE MAXIMUM LIKELIHOOD ESTIMATOR FOR STOCHASTIC PARABOLIC EQUATIONS WITH ADDITIVE FRACTIONAL BROWNIAN MOTION
• A study of the residue-to-binary converters for the three-moduli sets
• On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption
• Discrete Convolutions via Mersenne Transforms

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