True random number generator and true random number generation method

Abstract

The embodiment of the invention discloses a true random number generator and a true random number generation method. A plurality of ring oscillator circuits are arranged in an array manner, a random number sequence can be analyzed through a random number statistical analysis circuit and an analysis conclusion is fed back to a configuration selection circuit. The configuration selection circuit sends control information to adjust the configuration of the true random number generator according to the analysis conclusion of the random number statistical analysis circuit. With the embodiment of the invention, the configuration of the true random number generator can be automatically adjusted without increasing the difficulty of rear-end layout and wiring, a high-quality random number sequenceis generated and the efficiency is high.

Description

Technical field [0001] The invention relates to the technical field of information security, in particular to a true random number generator and a true random number generation method. Background technique [0002] True random numbers are commonly used in cryptographic computing scenarios. A true random number generator is required to generate a true random number. Unlike the pseudo-random number generator, the true random number generator needs to use a physical noise source. One of the most commonly used sources of physical noise at present is to use a ring oscillator to sample the output of the ring oscillator with a sampling clock. Affected by external noise, the waveform generated by the ring oscillator has jitter, and a true random number can be generated after digital processing. Since the output entropy of a single-channel ring oscillator is relatively low, multiple ring oscillators are usually used for sampling to increase the output entropy. [0003] Ring oscillators ...

AI Technical Summary

Problems solved by technology

When different ring oscillator rings with relatively close periods are oscillating, some ring oscillator frequencies may be interlocked, resulting in a stable phase difference between the interlocked ring oscillators, and the output results will not produce random effects after XOR processing

The general way to deal with this problem is to manually disperse the ring oscillators in various parts of the chip during layout and routing, but this increases the difficulty of back-end layout and routing

[0004] In addition, in the existing design, if the generated random number sequence cannot meet the requirements, the designer needs to re-plan the design to enhance the entropy and improve the quality of the random number sequence, which is inefficient and lacks the means of automatic adjustment

Images