A method and system for generating true random numbers

Abstract

The present invention relates to a method for generating true random numbers, comprising: S1, using a continuous light source to generate three sets of independent physical random signals; S2, generating binary true random number streams based on the three sets of physical random signals; S3, using random statistical testing A package verifies the security and randomness of true random numbers in said binary true random number stream. The present invention also relates to a true random number generating system, comprising: a light source random signal generating device for generating three sets of independent physical random signals; a binary true random number generating device for generating binary numbers based on the three sets of physical random signals A true random number stream; a verification device for verifying the security and randomness of the true random numbers in the binary true random number stream by using a random statistical inspection package. Implementing the method and system for generating true random numbers of the present invention can simply adopt common physical random signal sources to generate high-quality random numbers with unpredictability and irreversible characteristics at high speed.

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 are evenly distributed, non-periodic, unpredictable, and non-replicable, 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] Currently, there are two commonly used methods for random number generation: methods based on software algorithms and methods based on physical signals such as thermal noise. The method based on the 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 is random and average, so it is pseudo-random. The method based on the physical signal of thermal noise is ...

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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