Fully Homomorphic Encryption (FHE) is a powerful cryptographic primitive that enables
performing computations over encrypted data without having access to the secret key. We …

Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

Real-world healthcare data sharing is instrumental in constructing broader-based and larger
clinical datasets that may improve clinical decision-making research and outcomes …

Homomorphic encryption (HE) has emerged as an ideal cryptographic technology for
meaningful computations on encrypted data. Not only does HE secure private information …

Unlocking the Potential of Fully Homomorphic Encryption Page 1 MODERN LIFE IS awash with
sensitive, private data. From credit cards and banking to conversations, photos, and medical …

Abstract The Brakerski-Gentry-Vaikuntanathan (BGV) scheme is a Fully Homomorphic
Encryption (FHE) cryptosystem based on the Ring Learning With Error (RLWE) problem …

The increasing ubiquity of big data and cloud-based computing has led to increased
concerns regarding the privacy and security of user data. In response, fully homomorphic …

Keyword spotting (KWS) is a key technology in smart devices. However, privacy issues in
these devices have been constantly raised. To solve this problem, this paper applies …

With the increasing adoption of connected and autonomous vehicles, platooning services
have emerged as a promising solution to enhance road traffic efficiency. However, the …

This paper presents a high-throughput CKKS-based encryption architecture for
homomorphic encryption. By de-ploying a parallel number theoretic transform (NTT) …