True random number generation method and system

Abstract

The invention relates to a true random number generation method. The method comprises the following steps: S1, generating three groups of independent physical random signals by adopting a continuous light source; s2, generating a binary true random number stream based on the three groups of physical random signals; and S3, verifying the security and randomness of the true random number in the binary true random number stream by adopting a random statistical test packet. The invention further relates to a true random number generation system, which comprises: a light source random signal generation device for generating three groups of independent physical random signals; a binary true random number generation device which is used for generating a binary true random number stream based on the three groups of physical random signals; and a verification device which is used for verifying the safety and randomness of the true random numbers in the binary true random number flow by adoptinga random statistical test packet. By implementing the true random number generation method and system provided by the invention, the high-quality random number with unpredictability and irreversibility can be simply generated at a high speed by adopting a common physical random signal source.

Description

Technical field [0001] The present invention relates to the field of information systems, and more specifically, to a method and system for generating true random numbers. Background technique [0002] Because random numbers have the characteristics of uniform distribution, non-periodical, unpredictable and non-reproducible, the generation of random numbers has become an important part in the fields of information security, random sampling and modeling, artificial intelligence, and deep space exploration. [0003] At present, there are two commonly used methods for random number generation: software-based algorithms and methods based on physical signals such as thermal noise. The method based on software algorithm generally calculates the generated random number according to the seed value. If the seed is the same, the generated random sequence is also the same, but the distribution appears random and average, so it is pseudo-random. The method based on the physical signal of ther...

AI Technical Summary

Problems solved by technology

This type of random number generator has the highest security, but it has extremely high technical challenges: the entire set of random number generators needs to generate, transmit, modulate, and detect entangled photons with extremely high efficiency; at the same time, different components need to be set appropriately. Only when the space distance meets the space-like separation requirements can the highest security ensure that any eavesdropper cannot forge the result of the Bell inequality test through internal communication

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