CN114281303B - Method and device for generating true random number - Google Patents
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Abstract
The embodiment of the invention discloses a method and a device for generating true random numbers, wherein the method comprises the following steps: acquiring target random noise entropy through a corresponding appointed component on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment; judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm. The invention uses the random electronic noise received by the corresponding appointed component on the target circuit board as the signal source of the true random number, has the characteristics of randomness, unpredictability and the like, eliminates the problems of periodicity, relativity and the like of the pseudo random number, and is a high-quality true random number.
Description
Technical Field
The invention relates to the technical field of information security, in particular to a method and a device for generating true random numbers.
Background
Random numbers have important applications in the field of information security and in daily life, and can be divided into pseudo-random numbers and true random numbers, wherein the pseudo-random numbers are generally generated based on a computer algorithm and have a certain rule which can be predicted; true random numbers originate from some natural noise that is completely irregular and cannot be predicted at all, so that true random numbers are widely used.
Currently, in the fields of digital communication, digital signature, network security, and the like, a high-quality random number source is required to generate a secret key, and then authentication and identification are completed through symmetric and asymmetric algorithms. Since automotive electronic control units often have network security requirements, it is often required that the electronic control units have the role of a True Random Number Generator (TRNG) for message, data encryption or hash algorithms. To meet the requirements of a true random number generator, it is generally necessary to use an external true random number generation chip or a microprocessor having a true random number generator characteristic, but this adds additional cost to the product. In the prior art, a software algorithm is adopted to realize pseudo random numbers, and the defect of the realization method is that the realization method has unavoidable periodicity and predictability problems; in addition, the prior art has the defects of high cost, slow speed and complex peripheral circuits in the methods of obtaining thermodynamic noise, photoelectric effect, quantum phenomenon and the like of pseudo random numbers.
Disclosure of Invention
Based on this, it is necessary to provide a method and a device for generating true random numbers to solve the following problems in the prior art: the method for realizing the pseudo-random number by adopting a software algorithm has unavoidable problems of periodicity and predictability, and has the defects of high cost, slow speed, complex peripheral circuit and the like in the method for obtaining thermodynamic noise, photoelectric effect, quantum phenomenon and the like of the pseudo-random number.
The first technical scheme of the embodiment of the invention is as follows:
A method of generating true random numbers, comprising: acquiring target random noise entropy through a corresponding appointed component on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment; judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm.
The second technical scheme of the embodiment of the invention is as follows:
An apparatus for generating true random numbers, comprising: the noise acquisition module is used for acquiring target random noise entropy through corresponding appointed components on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment; the intensity judging module is used for judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference; the noise expansion module is used for expanding the obtained target random noise entropy into a target original random number through a preset expansion rule when the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference; and the digital conversion module is used for converting the target original random number into a target true random number through a target conversion algorithm.
The third technical scheme of the embodiment of the invention is as follows:
a computer readable storage medium storing a first computer program which, when executed by a processor, causes the processor to perform the steps of:
Acquiring target random noise entropy through a corresponding appointed component on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment; judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm.
The fourth technical scheme of the embodiment of the invention is as follows:
a computer device comprising a memory and a processor, the memory storing a second computer program which, when executed by the processor, causes the processor to perform the steps of:
Acquiring target random noise entropy through a corresponding appointed component on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment; judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm.
The embodiment of the invention has the following beneficial effects:
According to the invention, the target random noise entropy is obtained through the corresponding appointed components on the target circuit board, then whether the electronic noise intensity/difference degree corresponding to the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference degree is judged, if yes, the obtained target random noise entropy is expanded into the target original random number through the preset expansion rule, and finally the target original random number is converted into the target true random number through the target conversion algorithm, so that the obtained target true random number has the characteristics of randomness, unpredictability and the like, the problems of periodicity, relativity and the like of pseudo random numbers are eliminated, and the target random number is a high-quality true random number and has the advantages of low cost, high speed, easiness in implementation and the like.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Wherein:
FIG. 1 is a flow chart illustrating an implementation of one embodiment of a method for generating true random numbers in an embodiment;
FIG. 2 is a block diagram of an embodiment of an apparatus for generating true random numbers in one example;
FIG. 3 is a block diagram of one implementation of a computer device in one embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, with reference to fig. 1, a method for generating true random numbers according to an embodiment of the present invention includes the following steps:
Step S101: and acquiring target random noise entropy through corresponding appointed components on a target circuit board, wherein the target random noise entropy comprises electronic noise entropy generated by the target circuit board and electromagnetic interference noise entropy generated by the environment. The target circuit board comprises an entropy generating circuit (Entropy Generator), and the designated components corresponding to the entropy generating circuit comprise a bonding pad on the circuit board and a plurality of resistor and capacitor elements for receiving electronic noise. Optionally, the entropy generating circuit in this step is one or more, and when the number of entropy generating circuits is plural, the target random noise entropy generated by the entropy generating circuit is diverse and has a wider range.
Step S102: and judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference.
If the intensity/difference of the electronic noise in the environment (entropy generating circuit) is not large enough, the electronic noise needs to be excited to generate enough electronic noise, so that a larger target random noise entropy is obtained, otherwise, an accurate and clear target random noise entropy cannot be obtained. The preset electronic noise intensity/preset difference degree is an empirical threshold, and when the electronic noise intensity/difference degree of the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference degree, the accurate and clear target random noise entropy can be obtained.
Step S103: if the electronic noise intensity/difference corresponding to the target random noise entropy is greater than or equal to the preset electronic noise intensity/preset difference, expanding the acquired target random noise entropy into a target original random number through a preset expansion rule.
The preset expansion rule is not limited, and the obtained target random noise entropy can be expanded to obtain the target original random number.
Step S104: and converting the target original random number into a target true random number through a target conversion algorithm.
The target conversion algorithm is not limited, as long as the target original random number can be converted into the target true random number.
The target conversion algorithm optionally includes the following points:
1. setting unique personalized data of each entropy generating circuit as input;
2. monitoring the input of the entropy generating circuit in real time to perform health monitoring;
3. even if entropy is wrong, the internal state is stored in the nonvolatile memory of the product and can normally operate;
4. the collected target random noise entropy is operated by HMAC_DRBG (deterministic random bit generator), the processed random numbers are added into a pair-column pool, as an output pool of true random numbers, true random number = Hash DRGB (entropy||v) personalized data || seed regeneration).
In this embodiment, optionally, the obtaining, by the corresponding designated component on the target circuit board, the target random noise entropy includes:
first, a target random electronic noise is obtained through a target bonding pad, a target resistor and a target capacitor which are arranged on the target circuit board, wherein the target random electronic noise comprises electronic noise generated by the target circuit board and electromagnetic interference noise generated by the environment. The electronic noise acquired by the target bonding pad, the target resistor and the target capacitor on the target circuit board is random and completely random, so that the target random electronic noise is guaranteed to be unpredictable.
Second, the target random electronic noise is converted into the target random noise entropy through a preset conversion rule. The preset conversion rule is not limited, as long as the target random electronic noise can be converted into the target random noise entropy.
In this embodiment, optionally, the converting, by a preset conversion rule, the target random electronic noise into the target random noise entropy includes:
Firstly, when the number of the target circuit boards is N, N groups of target random electronic noise generated correspondingly are obtained through the target bonding pads, the target resistors and the target capacitors on the N target circuit boards at the same time, wherein N is a positive integer greater than or equal to 1.
Secondly, according to a preset permutation and combination rule, N groups of target random electronic noise are arranged and combined, and the N groups of target random electronic noise are converted into target random noise entropy.
The preset arrangement and combination rule is not limited, and only N groups of target random electronic noise can be arranged and combined and then converted into the target random noise entropy.
In this embodiment, optionally, the determining whether the electronic noise intensity/difference corresponding to the target random noise entropy is greater than or equal to a preset electronic noise intensity/preset difference includes:
First, if the electronic noise intensity/difference corresponding to the target random noise entropy is smaller than or equal to the preset electronic noise intensity/preset difference, amplifying the electronic noise intensity/difference of the target random noise entropy through a preset noise processing method.
The preset noise processing method comprises all methods capable of amplifying the electronic noise intensity of the target random noise entropy.
And secondly, judging whether the electronic noise intensity/difference of the target random noise entropy after the amplification processing is larger than or equal to the preset electronic noise intensity/preset difference.
Thirdly, if the electronic noise intensity/difference of the target random noise entropy after the amplification processing is greater than or equal to the preset electronic noise intensity/preset difference, expanding the obtained target random noise entropy into the target original random number through the preset expansion rule.
In this embodiment, optionally, the amplifying the electronic noise intensity of the target random noise entropy by using a preset noise processing method includes:
And exciting the electronic noise intensity/difference degree of the target random noise entropy through an electronic noise exciting circuit so that the electronic noise intensity/difference degree of the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference degree.
In this embodiment, optionally, expanding the obtained target random noise entropy into the target original random number by the preset expansion rule includes:
and through the cooperation of analog-digital conversion and a general type input and output port, entropy converting the target random noise into a target digital quantity, and taking the target digital quantity as the target original random number.
In this embodiment, optionally, the converting, by a target conversion algorithm, the target original random number into a target true random number includes:
First, the target original random number is subjected to summation operation for a plurality of times through the target conversion algorithm to obtain summation result data.
And secondly, accumulating the summation result data into a designated queue pool to obtain the target true random number.
Wherein, this step can be selected to specifically include:
1. And carrying out hash operation on the target original random number.
2. And accumulating the hash operation into a designated queue pool to obtain the target true random number.
Referring to fig. 2, an apparatus 100 for generating true random numbers according to an embodiment of the present invention includes:
The noise acquisition module 1 is used for acquiring target random noise entropy randomly generated by a corresponding designated component on a target circuit board;
The intensity judging module 20 is configured to judge whether the electronic noise intensity of the target random noise entropy is greater than or equal to a preset electronic noise intensity;
the noise expansion module 30 is configured to expand the obtained target random noise entropy into a target original random number through a preset expansion rule when the electronic noise intensity of the target random noise entropy is greater than or equal to a preset electronic noise intensity;
the digital conversion module 40 is configured to convert the target original random number into a target true random number through a target conversion algorithm.
FIG. 3 illustrates an internal block diagram of a computer device in one embodiment. The computer device may specifically be a terminal or a server. As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program that, when executed by a processor, causes the processor to implement a method of generating a true random number as described above. The internal memory may also store a computer program that, when executed by the processor, causes the processor to perform a method of generating a true random number as described above. It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In another embodiment, a computer readable storage medium is provided, storing a first computer program, which when executed by a processor, causes the processor to perform the steps of:
Acquiring a target random noise entropy randomly generated by a corresponding designated component on a target circuit board; judging whether the electronic noise intensity of the target random noise entropy is larger than or equal to a preset electronic noise intensity; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm.
In another embodiment, a computer device is presented comprising a memory and a processor, the memory storing a second computer program which, when executed by the processor, causes the processor to perform the steps of:
Acquiring a target random noise entropy randomly generated by a corresponding designated component on a target circuit board; judging whether the electronic noise intensity of the target random noise entropy is larger than or equal to a preset electronic noise intensity; if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule; and converting the target original random number into a target true random number through a target conversion algorithm.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
According to the embodiment of the invention, the target random noise entropy generated randomly by the corresponding appointed component on the target circuit board is obtained, then whether the electronic noise intensity of the target random noise entropy is larger than or equal to the preset electronic noise intensity is judged, if yes, the obtained target random noise entropy is expanded into the target original random number through the preset expansion rule, finally the target original random number is converted into the target true random number through the target conversion algorithm, the true physical process is used as a signal source of the true random number, the obtained target true random number has the characteristics of randomness, unpredictability and the like, the problems of periodicity, relativity and the like of pseudo random numbers are solved, and the target random number is a high-quality true random number and has the advantages of low cost, high speed, easiness in implementation and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (8)
1. A method of generating true random numbers, comprising:
Acquiring target random electronic noise through a target bonding pad, a target resistor and a target capacitor which are arranged on a target circuit board, wherein the target random electronic noise comprises electronic noise generated by the target circuit board and electromagnetic interference noise generated by the environment; when the number of the target circuit boards is N, N groups of target random electronic noise generated correspondingly are obtained through the target bonding pads, the target resistors and the target capacitors on the N target circuit boards at the same time, wherein N is a positive integer greater than or equal to 1; according to a preset permutation rule, N groups of target random electronic noise are permuted and combined, and the N groups of target random electronic noise are converted into target random noise entropy; the target random noise entropy comprises an electronic noise entropy generated by the target circuit board and an electromagnetic interference noise entropy generated by the environment;
judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to a preset electronic noise intensity/preset difference;
if yes, expanding the obtained target random noise entropy into a target original random number through a preset expansion rule;
And converting the target original random number into a target true random number through a target conversion algorithm.
2. The method of claim 1, wherein the determining whether the electronic noise intensity/variance corresponding to the target random noise entropy is greater than or equal to a preset electronic noise intensity/preset variance comprises:
If the electronic noise intensity/difference degree corresponding to the target random noise entropy is smaller than or equal to the preset electronic noise intensity/preset difference degree, amplifying the electronic noise intensity/difference degree of the target random noise entropy by a preset noise processing method;
Judging whether the electronic noise intensity/difference of the target random noise entropy after the amplification processing is larger than or equal to the preset electronic noise intensity/preset difference;
If yes, expanding the obtained target random noise entropy into the target original random number through the preset expansion rule.
3. The method for generating true random numbers according to claim 2, wherein the amplifying the electronic noise intensity of the target random noise entropy by a preset noise processing method includes:
And exciting the electronic noise intensity/difference degree of the target random noise entropy through an electronic noise exciting circuit so that the electronic noise intensity/difference degree of the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference degree.
4. The method for generating true random numbers according to claim 1, wherein the expanding the obtained target random noise entropy into the target original random number by the preset expansion rule comprises:
and through the cooperation of analog-digital conversion and a general type input and output port, entropy converting the target random noise into a target digital quantity, and taking the target digital quantity as the target original random number.
5. The method of claim 1, wherein the converting the target raw random number into a target true random number by a target conversion algorithm comprises:
carrying out hash operation on the target original random number to obtain target hash operation result data;
and accumulating the target hash operation result data into a designated queue pool to obtain the target true random number.
6. An apparatus for generating true random numbers, comprising:
The noise acquisition module is used for acquiring target random electronic noise through a target bonding pad, a target resistor and a target capacitor which are arranged on a target circuit board, wherein the target random electronic noise comprises electronic noise generated by the target circuit board and electromagnetic interference noise generated by the environment; when the number of the target circuit boards is N, N groups of target random electronic noise generated correspondingly are obtained through the target bonding pads, the target resistors and the target capacitors on the N target circuit boards at the same time, wherein N is a positive integer greater than or equal to 1; according to a preset permutation rule, N groups of target random electronic noise are permuted and combined, and the N groups of target random electronic noise are converted into target random noise entropy; the target random noise entropy comprises an electronic noise entropy generated by the target circuit board and an electromagnetic interference noise entropy generated by the environment;
the intensity judging module is used for judging whether the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference;
the noise expansion module is used for expanding the obtained target random noise entropy into a target original random number through a preset expansion rule when the electronic noise intensity/difference corresponding to the target random noise entropy is larger than or equal to the preset electronic noise intensity/preset difference;
And the digital conversion module is used for converting the target original random number into a target true random number through a target conversion algorithm.
7. A computer readable storage medium, characterized in that a first computer program is stored, which, when being executed by a processor, causes the processor to perform a method of generating a true random number according to any one of claims 1-5.
8. A computer device comprising a memory and a processor, the memory storing a second computer program which, when executed by the processor, causes the processor to perform a method of generating a true random number as claimed in any one of claims 1 to 5.
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