SRAM based Gaussian noise generation for post quantum cryptography.

ABSTRACT: As quantum computing progresses, conventional public-key cryptographic schemes such as RSA and ECC face increasing vulnerability to quantum attacks. Post-quantum cryptography (PQC), especially schemes based on the learning with errors (LWE) problem, depends on Gaussian-distributed noise for security. However, traditional Gaussian noise generation methods-such as Box-Muller, rejection sampling, and Ziggurat-incur high computational and memory costs, making them unsuitable for lightweight or embedded systems. This paper proposes a hardware-based Gaussian noise generator that uses the inherent randomness of static random access memory (SRAM) power-on states. The method aggregates SRAM start-up bits and computes their Hamming weight to efficiently generate Gaussian-distributed integers without

SUBMITTER: Kim MS 

PROVIDER: S-EPMC12698689 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature