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Sub-threshold value characteristic-based true random number generator

A true random number and generator technology, applied in the fields of information security and integrated circuits, can solve the problems of insufficient random jitter and cumbersome circuits, and achieve the effects of simple structure, good random characteristics and good output effect.

Inactive Publication Date: 2011-01-26
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In order to overcome the shortcomings of insufficient random jitter or cumbersome circuit of the existing true random number generator based on the oscillation sampling method, the present invention provides a true random number generator based on the oscillation sampling method and based on sub-threshold characteristics, Using a new type of high-performance random jitter source, a simple circuit can generate high-performance random sequences, which can be used in cryptography and other related applications

Method used

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings.

[0024] Such as figure 1 As shown, it is a true random number generator based on sub-threshold characteristics, including a fast oscillator, a slow oscillator, a level conversion circuit, a sampling flip-flop and a signal post-processing circuit that improves the random characteristics of the output sequence. The fast The output terminal of the oscillator is connected to the data terminal of the sampling flip-flop through the level conversion circuit, the output terminal of the slow oscillator is connected to the clock terminal of the sampling flip-flop, and the output terminal of the sampling flip-flop is connected to the input of the signal post-processing circuit The terminals are connected, and the output terminal of the signal post-processing circuit is used as the output terminal of the generator.

[0025] Such as figure 2 Shown is a schematic diagram of the ci...

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Abstract

The invention discloses a sub-threshold value characteristic-based true random number generator. The true random number generator comprises a rapid oscillator, a slow oscillator, a level converting circuit, a sampling trigger and a signal post-processing circuit, wherein an output end of the rapid oscillator is connected with a data end of the sampling trigger through a level converting circuit; an output end of the slow oscillator is connected with a clock end of the sampling trigger; the output end of the sampling trigger is connected with an input end of the signal post-processing circuit; the output end of the signal post-processing circuit is used as the output end of the generator; and the signal post-processing circuit performs a series of hybridization and noise processing on an output signal of the sampling trigger so as to improve the random characteristic of an output sequence. In the generator provided by the invention, a random source circuit has a simple structure and only a series of odd-stage phase inverter chains need to be cascaded; the generator has high random characteristic; and the random characteristic of the output sequence is enhanced by the enhancement of the sub-threshold value frequency jitter and the signal post-processing circuit with high randomization capacity, so that the output effect is better.

Description

technical field [0001] The invention relates to the fields of information security and integrated circuit technology, in particular to a true random number generator based on subthreshold characteristics, which is used to generate unpredictable true random number sequences. Background technique [0002] With the rapid development of computer technology and communication technology, especially the widespread use of the Internet, information has become a very important asset in today's society. The continuous development of the information society makes everyone's life closely related to the generation, reception, storage, processing and transmission of information. The combination of commerce, finance and the Internet poses a huge challenge to cryptography and information security. [0003] Random numbers play a very important role in the field of modern cryptography, and they are an important part of cryptographic chips and hardware. There are two main types of random numb...

Claims

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Application Information

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IPC IPC(8): G06F7/58
CPCG06F7/588H04L9/0866
Inventor 单伟伟陆寅超戚隆宁秦娟刘君寅时龙兴
Owner SOUTHEAST UNIV
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