Low power consumption digital true random source

Abstract

The invention discloses a low power consumption digital true random source. The low power consumption digital true random source comprises a high speed random oscillator signal generator, an alternative oscillation stop control unit, a clock generator and a sampling unit. The alternative oscillation stop control unit is adopted to control the high speed random oscillator signal generator, so as to generate a high speed oscillator signal, after sampling is carried out by the sampling unit, high speed high-entropy random bit stream is output. When system reset control signal is effective, the alternative oscillation stop control unit and the sampling unit can be all reset, and the high speed random oscillator signal generator and the oscillator in the clock generator are all stopped. The invention is implemented by adopting standard digital circuit unit, structure is compact, relative resource consumption is less, and power consumption is reduced by controlling a loop circuit oscillator. The invention is applicable to digital integrated circuit, has flexible application mode and strong design generality and is applicable to a plurality of implementation methods of digital integrated circuit such as FPGA and ASIC.

Description

technical field [0001] The invention relates to a low-power digital true random source, which is mainly used in a random number generator as an entropy source to generate high-speed and high-entropy random sequences. Background technique [0002] True random number generators are widely used, and their application fields involve key generation, verification protocols, zero-knowledge verification, digital signature mechanisms, etc. The most important part of a true random number generator that determines its characteristics is the source of randomness. At present, the known random source realization methods include methods based on resistance thermal noise extraction, methods based on PN junction scattering noise, and methods based on chaos. Most of the random source implementation methods mentioned above are implemented by analog circuits, which occupy a large area. The vast majority of information security application chips involving random sources are digital systems. I...

AI Technical Summary

Problems solved by technology

However, pseudo-random numbers are vulnerable to attacks, and are predictable and repeatable. In applications with high security strength, pseudo-random numbers are not suitable.

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