2014 · 11 citations · 3 references
EngineeringComputer EngineeringElectrical EngineeringCryptographyEmbedded SystemsSystem-on-chip DesignCryptographic ArchitectureField-programmable Gate Array ArchitectureNoise In Electronic DevicesNoise In Semiconductor DevicesRandom Number GenerationEmbedded System-on-chip IntegrationHardware Random Number GeneratorsJitterJitter ControlRandomness GenerationSecure Random Number GenerationStatistical TestingTrue Random Number Generation
A True Random Number Generator (TRNG) is considered to be a pillar of cryptography. Designing a stable and secure TRNG has been and still is a major concern among researchers worldwide. The TRNG is basically based on a noise generator that is furthermore translated into bit streams. The most known TRNG are based on the Ring Oscillator's jitter property because of its simplicity in FPGA implementation. This paper will describe the functionality of such TRNG, adapted on the Zynq System on Chip Embedded Platform. Moreover, the paper will analyze the behavior of the Generator on different frequency ranges using statistical tests and present relevant results for each.
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