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Homomorphic encryption (HE) is a cryptosystem that allows the secure processing of encrypted data. One of the most popular HE schemes is the Brakerski-Fan-Vercauteren (BFV), which supports somewhat (SWHE) and fully homomorphic encryption (FHE). Since overly involved arithmetic operations of HE schemes are amenable to concurrent computation, GPU devices
Ali Sah Özcan +3 more
openaire +5 more sources
Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives (extended version) [PDF]
Homomorphic Encryption (HE) is a modern cryptographic technique that allows direct computations on encrypted data. While relatively new to the mainstream debate, HE has been a solid topic in research for decades.
Frimpong, E. +5 more
core +1 more source
Hardware acceleration of number theoretic transform for zk‐SNARK
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao +6 more
wiley +1 more source
NTRU-type fully homomorphic encryption scheme without key switching
In order to construct a fully homomorphic encryption scheme based on NTRU cryptosystem from ring learning with errors, noise growth and homomorphic property in the NTRU cryptosystem were analyzed. The con-cept of zero homomorphic encryption was introdced
Xin-xia SONG +2 more
doaj +3 more sources
Similarity Calculation Based on Homomorphic Encryption [PDF]
In recent years, although some homomorphic encryption algorithms have been proposed to provide additive homomorphic encryption and multiplicative homomorphic encryption. However, similarity measures are required for searches and queries under homomorphic
Chen, Abel C. H.
core +1 more source
Achieving GWAS with homomorphic encryption [PDF]
Abstract Background One way of investigating how genes affect human traits would be with a genome-wide association study (GWAS). Genetic markers, known as single-nucleotide polymorphism (SNP), are used in GWAS. This raises privacy and security concerns as these genetic markers can be used to identify individuals uniquely.
Jun Jie Sim +4 more
openaire +6 more sources
Research on privacy information retrieval model based on hybrid homomorphic encryption
The computational complexity of privacy information retrieval protocols is often linearly related to database size. When the database size is large, the efficiency of privacy information retrieval protocols is relatively low.
Wei-tao Song +3 more
doaj +1 more source
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms
Privacy-preserving techniques allow private information to be used without compromising privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) algorithm, cannot perform computational operations on encrypted data without first
Rafik Hamza +6 more
doaj +1 more source
The homomorphic proxy re-encryption scheme combines the characteristics of a homomorphic encryption scheme and proxy re-encryption scheme. The proxy can not only convert a ciphertext of the delegator into a ciphertext of the delegatee, but also can ...
Juyan Li +3 more
doaj +1 more source

