Hardware-Based Pseudorandom Number Generator
Brandon Arca, Naomi Lozano, Roththida Sok, Shao Lin Lan
School of Engineering
Faculty Supervisor: Hao Jiang
Implementation of multiple random number generators producing a 128-bit output robust enough to meet current cryptographic standards. It is a unique approach that integrates a multi-layered architecture consisting of a seed generator, pseudorandom chaos generators, and a non-linear feedback shift register. The goal of the system is to understand the process of random generation in digital systems with an emphasis on real-time performance and practicality in hardware-based systems.