Device and method for generating randow number

Abstract

The present invented method generates metastable state signal through stochastic signal generation circuit, random numbers obtaining circuit obtaining said metastable state signal and stabilizing said metastable state signal to obtain steady random signal, said random signal and outputting random numbers. Compared With current random number generation method, said invention provided device and method is applicable to resource limited embedded system, said indigenous random numbers are completely random number independent of random seed, indigenous random numbers capable of being used as random seed, combined using with software random numbers computation module further generating highly dense random numbers, thereby greatly raising software generative pseudo-random number sequence security. Furthermore, said invention provided generation of random numbers device does not occupy CPU resource, occupying very less hardware resource, with high generation speed only in several clock periods.

Description

Technical field [0001] The present invention relates to the field of computer data, in particular to a device and method for generating random numbers. Background technique [0002] Random numbers have very important uses in many fields such as encryption. In the prior art, the generation of random numbers in an embedded system is mainly done using software algorithms, and it is very expensive to implement similar algorithms with hardware. This type of algorithm requires a random seed, which is used to generate a sequence of pseudo-random numbers within a specified numerical interval. [0003] The random number generation method in the prior art has the following disadvantages: [0004] 1) Because the use of software algorithms needs to occupy valuable CPU resources in the embedded system. [0005] 2) Due to the use of software algorithms, many CPU instructions are required to complete the calculation of random numbers. It takes a long time to complete. [0006] 3) Since the rand...

AI Technical Summary

Problems solved by technology

takes longer to complete

[0006] 3) Since the random number algorithm generates pseudo-random numbers in essence, it is particularly dependent on the random seed. If the random seed and the algorithm are known, then the same random number sequence can be obtained according to the above random seed. It can be seen that through the existing The random number obtained by the method has certain security risks

Images