MS Riazi, K Laine, B Pelton, W Dai - Proceedings of the twenty-fifth …, 2020 - dl.acm.org
With the rapid increase in cloud computing, concerns surrounding data privacy, security, and confidentiality also have been increased significantly. Not only cloud providers are …
Homomorphic encryption is a tool that enables computation on encrypted data and thus has applications in privacy-preserving cloud computing. Though conceptually amazing …
N Zhang, B Yang, C Chen, S Yin, S Wei… - IACR Transactions on …, 2020 - tches.iacr.org
NewHope-NIST is a promising ring learning with errors (RLWE)-based postquantum cryptography (PQC) for key encapsulation mechanisms. The performance on the field …
Y Yang, H Zhang, S Fan, H Lu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the development of the important solution for privacy computing, the explosion of data size and computing intensity in Fully Homomorphic Encryption (FHE) has brought enormous …
P Duong-Ngoc, S Kwon, D Yoo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Homomorphic encryption (HE) has emerged as an ideal cryptographic technology for meaningful computations on encrypted data. Not only does HE secure private information …
Homomorphic encryption (HE) is one of the most promising solutions to secure cloud computing. The number theoretic transform (NTT) that is widely used for convolution …
Homomorphic encryption (HE) allows direct computations on encrypted data. Despite numerous research efforts, the practicality of HE schemes remains to be demonstrated. In …
Private Information Retrieval (PIR) plays a vital role in secure, database-centric applications. However, existing PIR protocols explore a massive working space containing hundreds of …
Y Su, B Yang, C Yang, L Tian - IEEE Access, 2020 - ieeexplore.ieee.org
Fully homomorphic encryption (FHE) allows arbitrary computation on encrypted data and has great potential in privacy-preserving cloud computing and securely outsource …