An open-source multi-FPGA modular system for fair benchmarking of True Random Number Generators

Abstract

True Random Number Generators (TRNG) are cryptographic primitives that exploit intrinsic noise sources in electronic devices. Their quality is linked to the underlying technology, activity of the neighboring circuitry and device environment (temperature, power supply, electromagnetic emanations). Consequently, when comparing TRNGs, they should be tested in identical technology, system architecture and operating conditions. We present a unified hardware platform and related open source tools aimed at fair benchmarking of TRNGs implemented in different FPGA technologies. The platform is accessible remotely. Designers can download related tools from the web site and they can upload their configuration bitstream to the remote FPGA and download random data generated in the same hardware and in the same conditions as other concurrent designs and state-of-the-art generators. The proposed tools were approved in many applications and they guarantee safe acquisition of random sequences at data rates of up to 400 Mbits/s.