The Number Theoretic Transform (NTT) is a powerful mathematical tool that has become
increasingly important in develo** Post Quantum Cryptography (PQC) and Homomorphic …

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

Fully Homomorphic Encryption (FHE) is currently seen to be a promising solution for privacy-
preserving applications. However, FHE suffers from a computational bottleneck due to the …

Both FHE and ZKP constructions use polynomial evaluations such as the Number Theoretic
Transform (NTT). The computational cost of NTT grows asymptotically as O (𝑛 log𝑛) with the …

Abstract Fully Homomorphic Encryption (FHE) enables privacy-preserving computation and
has many applications. However, its practical implementation faces massive computation …

With the increasing number of edge devices connecting to the cloud for storage and
analysis, concerns about security and data privacy have become more prominent …

The efficiency of polynomial multiplication execution majorly impacts the performance of
lattice-based post-quantum cryptosystems. In this research, we propose a high-speed …

Today, edge devices commonly connect to the cloud to use its storage and computing
capabilities. This leads to security and privacy concerns about user data. Homomorphic …

The Number Theoretic Transform (NTT) has been widely used to speed up polynomial
multiplication in lattice-based post-quantum algorithms. All NTT operands use modular …

In this article, we present the HiCoP architecture, a high-performance, conflict-free memory
access, modular polynomial multiplication design that accelerates the number-theoretic …