True random number generator

Abstract

The invention relates to a true random number generator. The true random number generator comprises a hybrid Boolean network module, a function conversion module and a sampling processing module. Thehybrid Boolean network module comprises a plurality of Boolean units; the function conversion module is connected with an output end of a first exclusive-OR logic gate in the first Boolean unit and afirst input end of a first multiplexer; and the first input end of the sampling processing module is connected with the output end of the hybrid Boolean network module, and the second input end of thesampling processing module inputs clock signals. The true random number generator provided by the invention has a physical unclonable function structure with a true random number generation function,and can realize mutual conversion between a physical unclonable function function and a true random number generator function according to actual requirements.

Description

technical field [0001] The invention relates to the field of information security, in particular to a true random number generator. Background technique [0002] At present, the rapid development of communication technology has put forward higher requirements for the maintenance of network information security. The participation of random numbers is required in personal information protection, information encryption, identity authentication, and financial payment. There are two main methods of generating random numbers: pseudo-random number generators and true random number generators. The pseudo-random number generator generates random numbers by calculating the initial parameters through a certain algorithm, but due to the nature of the principle of pseudo-random number generation, the pseudo-random numbers are predictable. A true random number generator uses random physical processes and phenomena as an entropy source, and obtains random numbers through an entropy extrac...

AI Technical Summary

Problems solved by technology

However, the true random number generator in the prior art does not have the physical unclonable function structure of the true random number generation function, and cannot realize the mutual conversion between the physical unclonable function function and the true random number generator function according to actual needs

Images