Random number generation method, device and system

Abstract

The invention discloses a random number generation method, device and system, relates to the technical field of security chip manufacturing, and meets the increasingly high-quality requirements for randomness and unpredictability of random numbers. According to the main technical scheme, the method comprises the steps: acquiring the number of random numbers generated in a first unit time period; comparing the number of random numbers generated in a first unit time period with a first threshold value and a second threshold value, and judging and selecting a corresponding random number generation mode in a second unit time period, wherein the second unit time period is the next unit time period adjacent to the first unit time period, and the random number generation mode comprises a first generation mode for calling a true random number generator to generate a random number, a second generation mode for calling the true random number generator and a pseudo random number generator to generate the random number, and a third generation mode for calling the pseudo random number generator to generate the random number; and generating a random number according to the corresponding random number generation mode in the selected second unit time period.

Description

Technical field [0001] The present invention relates to a security chip production, and in particular relates to a method for generating a random number, apparatus and system. Background technique [0002] In the field of network security technology, particularly to the aspect of the encryption protocol, data communications, the system requires a higher random number, the random number is not required to meet the basic requirements of reproducibility, unpredictability. Mainly dependent on the random number generator and a random number obtained, the random number generator into a true random number generator and a pseudo-random number generator, hereinafter, the advantages and disadvantages of a true random number generator and a pseudo-random number generator of simple introduce: [0003] Acquisition true random number generator entropy sources is typically obtained from a physically random noise in the original data, to generate the final high quality true random numbers, rando...

AI Technical Summary

Problems solved by technology

[0006] However, this method is still implemented by an algorithm that relies on a pseudo-random number generator, and the final generated random number is still a pseudo-random number, which is equivalent to an optimization scheme for generating pseudo-random numbers using a pseudo-random number generator alone. Although the quality of the obtained pseudo-random numbers has improved, they are still only pseudo-random numbers, and it is difficult to meet the increasing high-quality requirements for the randomness and unpredictability of random numbers.

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