CN116341021A - Blockchain-based scientific research data storage method, computer system and storage medium - Google Patents

Abstract

The present invention relates to the field of information technology, in particular to a blockchain-based method for depositing scientific research data, a computer system and a storage medium. The method includes the following steps: setting up a host computer, and collecting the work of the scientific research equipment after the scientific research equipment is started. Data; periodically pack the working data into a data package, and associate the data package with the scientific equipment code and time stamp as the proof package; extract the hash value of the proof package and record it as the proof hash value; store the proof hash The value is uploaded to the blockchain for storage to obtain the corresponding block height; the certificate storage package is associated with the certificate storage hash value and the block height storage; when the certificate storage package is verified, the hash value of the certificate storage package is extracted and compared with the blockchain Compare the hash value of the certificate stored on the blockchain; if the hash value of the extracted certificate package is consistent with that stored on the blockchain, it is determined that the certificate package is authentic. The substantive effect of the present invention is: by automatically collecting the data packets after the scientific research equipment is started, the scientific research data storage can be realized, and the authenticity of the scientific research data can be guaranteed.

Description

Blockchain-based scientific research data storage method, computer system and storage medium

technical field

The invention relates to the field of information technology, in particular to a block chain-based scientific research data storage method, a computer system and a storage medium.

Background technique

Scientific research data is an important basic data, which plays an irreplaceable role in the progress of human society, and is also the cornerstone of the advancement of science and technology. Whether it is the proposal of scientific laws hundreds of years ago, or the development of new drugs, the development of digital earth, the discovery of black hole photos, etc., all rely on the original data generated by experiments, observations, surveys, measurements, simulations, etc. Comprehensive analysis and utilization of derived data. Scientific research data has become a touchstone for testing the value of scientific research. On the one hand, scientific discoveries in many disciplines are based on data, aiming at new data discovery, supplemented by mining tools and analysis methods, and integrating data with important discoveries. On the other hand, data has become the basis for repeated scientific experiments to ensure the authenticity and reliability of research results. Therefore, it is of great significance to ensure the authenticity and integrity of scientific research data. However, the current scientific research data is stored in the form of electronic data. Since electronic data is easy to be tampered with, it is difficult to guarantee the authenticity of scientific research data, and the verification affects the shared verification and application of scientific research data. Therefore, it is necessary to study the evidence storage scheme applicable to scientific research data.

The prior art discloses a blockchain-based digital evidence storage platform. In this platform, the server responds to the client's request to submit an electronic format file to perform a hash operation on the file to obtain a hash value corresponding to the file; The server interacts with the distributed file system, stores the file with the corresponding hash value and obtains the storage ID of the file; the server interacts with the blockchain network, and stores the corresponding hash value and storage ID of the file. , The file creation information is submitted to the blockchain network; the blockchain network successfully stores the transaction data through the smart contract and packs it into a block after consensus, and then returns the successfully stored block transaction ID value to the server; the server stores it locally Submit the file and its corresponding hash value, storage ID and transaction ID, and return the storage status information of the file to the client. Although its technical scheme can realize the authenticity and reliability of data. However, its technical solution needs to consume a lot of server resources, and is not suitable for the storage of scientific research data with a large amount.

Contents of the invention

The technical problem to be solved by the present invention is: there is currently a lack of technical problems suitable for scientific research data storage schemes. A block chain-based scientific research data storage method, computer system and storage medium are proposed, which can realize scientific research data storage.

In order to solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a blockchain-based scientific research data storage method, comprising the following steps:

Set up the upper computer, after the scientific research equipment is started, the upper computer automatically collects the working data of the scientific research equipment;

Periodically pack the working data into data packages, and associate the data packages with scientific equipment codes and time stamps as evidence packages;

Extract the hash value of the certificate package and record it as the certificate hash value;

Upload the certificate hash value to the blockchain storage to obtain the corresponding block height;

Store the certificate storage package in association with the certificate hash value and block height;

When verifying the certificate package, extract the hash value of the package and compare it with the hash value stored on the blockchain; if the hash value of the extracted package is consistent with that stored on the blockchain, then It is determined that the certificate storage package is authentic. On the contrary, if the hash value of the extracted certificate storage package is inconsistent with that stored on the blockchain, it is determined that the certificate storage package has been modified.

Preferably, when extracting the hash value of the certificate deposit, the hash value of the certificate deposit package of the previous cycle is extracted together with the certificate deposit package of this cycle as the certificate deposit hash value.

Preferably, the host computer is connected to a plurality of scientific research equipment, collects work data of the plurality of scientific research equipment, and when packing the work data into a data package, intercepts part of the work data of other scientific research equipment and incorporates them into the data package.

Preferably, the scientific research data storage method further includes: adding serial numbers and time stamps of corresponding scientific research equipment before and after the partial work data.

As a preference, when extracting the hash value of the deposit certificate, the following steps are also performed:

Establishing a quick verification code extraction model, inputting the deposit package into the quick verification code extraction model to obtain a quick verification code;

Upload both the quick verification code and the stored certificate hash value to the blockchain for storage;

When verifying the certificate storage package, extract the quick verification code of the storage package, and the extracted quick verification code is consistent with the one stored on the blockchain, then it is determined that the certificate storage package is authentic, and the extracted quick verification code does not match the one stored on the blockchain , then extract the hash value of the certificate storage package. If the hash value of the extracted certificate storage package is consistent with that stored on the blockchain, it is determined that the certificate storage package is authentic. Conversely, if the extracted certificate storage package hash value is consistent with the block If the storage on the chain is inconsistent, it is determined that the certificate storage package has been modified.

Preferably, the method for establishing a fast verification code extraction model includes:

Set the tag set and data length;

Generate several sample data, the sample data includes pairs of data values and labels, the number of data bits of the data values is consistent with the data length, and the labels belong to the label set;

A neural network model is set up, the input layer neurons of the neural network model correspond to the value of each bit of the data value, and the output of the neural network model is the label;

Using several of the sample data to train and test the neural network model until the correct rate of the neural network model reaches a preset threshold;

Expressing the proof package in binary, dividing it into several binary numbers according to the preset length, the data value of the binary number is consistent with the data length;

Inputting several binary numbers one by one into the trained neural network model is used as a fast verification code extraction model, and the splicing of labels of all binary numbers is used as a fast verification code.

Preferably, said data value is expressed in hexadecimal.

Preferably, the method for establishing a fast verification code extraction model also includes:

The data value is divided into a plurality of sub-data according to a preset bit length, and the neurons of the input layer of the neural network model correspond to the sub-data.

A computer system, the computer system includes a memory, a processor, and a computer program stored in the memory and operable on the processor, when the computer program is executed by the processor, the aforementioned Blockchain scientific research data storage method.

A computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the aforementioned blockchain-based scientific research data storage method is realized.

The substantive effect of the present invention is: after the scientific research equipment is started, the data packets are automatically collected, and then the certificate storage package is formed to realize the storage of the scientific research data, which can ensure the authenticity of the scientific research data; For the rapid verification of the authenticity of scientific research data, a new verification method for the authenticity of scientific research data is provided; the efficiency of authenticity verification of scientific research data can be improved with the help of fast verification codes.

Description of drawings

Fig. 1 is a schematic flow chart of a scientific research data storage method according to an embodiment of the present invention.

FIG. 2 is a schematic flowchart of a method for extracting a quick verification code according to an embodiment of the present invention.

FIG. 3 is a schematic flowchart of a method for establishing a fast verification code extraction model according to an embodiment of the present invention.

FIG. 4 is a schematic structural diagram of a computer system according to an embodiment of the present invention.

Among them: 11. Memory, 12. Computer program, 13. Processor.

Implementation

The specific embodiments of the present invention will be further specifically described below through specific embodiments in conjunction with the accompanying drawings.

Before introducing the solution of this embodiment, the application scenario of this embodiment is introduced.

Blockchain is a distributed shared ledger and database, which has the characteristics of decentralization, non-tampering, traceability throughout the process, traceability, collective maintenance, and openness and transparency. These characteristics ensure the "honesty" and "transparency" of the blockchain, and lay the foundation for the creation of trust in the blockchain. Therefore, the blockchain can provide reliable data storage, which is very suitable for the storage of electronic data that is easy to be tampered with.

In the storage of electronic data, the hash function plays an important role. The hash function compresses the message or data into a summary, which reduces the amount of data and fixes the format of the data. A hash function scrambles the data to recreate a fingerprint called the hash value, also known as the hash value. Hash values are initially used to improve the utilization of storage space, which can improve the efficiency of data query. The hash value is usually represented by a short string of random letters and numbers. A good hash function rarely has hash collisions in the input field, and does not suppress collisions to distinguish data in hash tables and data processing, which will make database records more difficult to find. Hash functions are commonly used today to encrypt data. Since the hash function is irreversible, it can effectively protect data and provide a unique mapping of data. However, the calculation efficiency of the current hash function is low, and it takes a long time to extract the hash value from the data. When verifying the authenticity of the data, it also takes a lot of time to extract the hash value, which is very inconvenient to verify the authenticity of the data.

Scientific research data directly comes from related instruments and equipment, and the current electronic data storage technology does not directly collect data from instruments and equipment. Moreover, the current evidence storage technology requires personnel to actively initiate the deposit, resulting in the possibility that the collected data may be altered before depositing the evidence, which cannot ensure the authenticity of the scientific research data. For this reason, this embodiment provides a blockchain-based scientific research data storage method, which can solve the problems that the authenticity of scientific research data storage certification is still not high enough, and the verification takes a long time. Please refer to accompanying drawing 1, the scientific research data storage method provided by this embodiment includes the following steps:

Step A01) Setting up the upper computer, after the scientific research equipment is started, the upper computer automatically collects the working data of the scientific research equipment;

Step A02) Periodically pack the working data into a data package, and associate the data package with the scientific equipment code and time stamp as a deposit package;

Step A03) Extract the hash value of the certificate storage package, and record it as the certificate storage hash value;

Step A04) Upload the stored certificate hash value to the blockchain for storage, and obtain the corresponding block height;

Step A05) Store the hash value and block height associated with the certificate deposit package;

Step A06) When verifying the certificate storage package, extract the hash value of the certificate storage package and compare it with the certificate storage hash value stored on the blockchain;

Step A07) If the hash value of the extracted certificate storage package is consistent with that stored on the blockchain, it is determined that the certificate storage package is authentic; otherwise, if the hash value of the extracted certificate storage package is inconsistent with that stored on the blockchain, it is determined that The deposit package has been modified. By directly reading the working data of the scientific research equipment, periodically making the working data into a data package, and then making it into a certificate storage package, it is possible to directly form the storage certificate of the scientific research data, avoiding the risk of the scientific research data being modified before the certificate is stored. Ensure the authenticity of scientific research data storage.

When extracting the hash value of the certificate deposit, the hash value of the certificate deposit package of the previous cycle is extracted together with the certificate deposit package of this cycle as the certificate deposit hash value. Extract the hash value of the previous cycle’s certificate storage package together with the current cycle’s certificate storage package. When the scientific research data is maliciously modified, it is necessary to continuously modify all the certificate storage hash values in the subsequent cycle synchronously, which is significantly Increased the cost of modifying scientific research data to ensure the reliability of scientific research data storage.

The upper computer is connected to multiple scientific research equipment, collects the working data of multiple scientific research equipment, and when packaging the working data into a data package, intercepts part of the working data of other scientific research equipment and incorporates them into the data package. By including some working data of other scientific research equipment, when some data of other scientific research equipment is tampered with, the tamperer needs to find all the certificate storage packages that include the same part of the working data, and make unified modifications to ensure that the modification does not leave traces . However, intercepting part of the working data of other scientific research equipment and incorporating it into the data package is completely random, and it is difficult for tamperers to quickly find all relevant certificate storage packages. They can only traverse all the certificate storage packages, which significantly increases the difficulty and cost of tampering with data. Thereby improving the reliability of scientific research data storage evidence.

The scientific research data storage method also includes: adding the number and time stamp of the corresponding scientific research equipment before and after part of the work data.

In order to improve the verification efficiency of scientific research data storage, this embodiment provides a new verification method in addition to the hash value verification method, that is, to use the quick verification code for verification. Please refer to attached picture 2. When extracting the hash value of the deposit certificate, the following steps are also performed:

Step B01) Establish a quick verification code extraction model, input the deposit package into the quick verification code extraction model, and obtain a quick verification code;

Step B02) Upload both the quick verification code and the stored certificate hash value to the blockchain for storage;

Step B03) When verifying the certificate deposit package, extract the quick verification code of the certificate deposit package, and the extracted quick verification code is consistent with the one stored on the blockchain, then it is determined that the certificate deposit package is authentic, and the extracted quick verification code is the same as that stored on the blockchain If the hash value of the stored certificate package does not match, the hash value of the stored certificate package is extracted. If it is inconsistent with the one stored on the blockchain, it is determined that the certificate deposit package has been modified. The quick verification code is extracted by the quick verification code extraction model, and the hash value verification forms two parallel verification paths. The verification result is based on the hash value verification as the final result. However, when the probability of scientific research data being tampered with is not high, or the loss caused by the tampering of scientific research data is small, it is not necessary to use the extremely time-consuming hash value verification method. The quick verification code method can be used for quick verification.

Please refer to accompanying drawing 3, the method for setting up fast captcha extraction model includes:

Step C01) Set the tag set and data length;

Step C02) Generate several sample data, the sample data includes pairs of data values and labels, the number of data digits of the data values matches the data length, and the labels belong to the label set;

Step C03) Establish a neural network model, the input layer neurons of the neural network model correspond to the value of each bit of the data value, and the output of the neural network model is a label;

Step C04) Use several sample data to train and test the neural network model until the correct rate of the neural network model reaches the preset threshold;

Step C05) Express the certificate storage package in binary, divide it into several binary numbers according to the preset length, and the data value of the binary number matches the data length;

Step C06) Input several binary numbers one by one into the trained neural network model as a fast verification code extraction model, and concatenate the labels of all binary numbers as a fast verification code.

The neural network model can be regarded as a kind of super function, which can establish a complex mapping relationship between input and output. Even if the mapping relationship itself has no rules to follow, it can also establish a stable mapping through the neural network model. The training of the neural network model is time-consuming, but the execution efficiency of the trained neural network model is extremely high, which is much higher than that of the hash function.

The tags set in this embodiment are 0 to 0xFFFFFFFF, that is, 0 to 4294967295, a total of 4294967296 tags, and the length of the data value is 1Mb. The remainder of the data value is 0xFFFFFFFF, which is the label of the data value. The scientific research data of 1Mb is used as the input, and the label is the classification result, and the classification can be realized by using the neural network model. Although the neural network model cannot perform 100% correct classification, after assigning the same data value to the wrong label, and then classifying the data value again later, it will still be assigned to the same label as before. As long as the neural network model is not retrained, it can be guaranteed that the same data value will always be assigned to the same label, no matter whether the label is exactly the remainder of the data value to 0xFFFFFFFF. Therefore, if the accuracy rate of the neural network model cannot reach 100%, it will not affect the storage and verification of data values. Because for the same data value, you will always get the same quick captcha. Moreover, it is precisely because of the inaccuracy and uncertainty of the neural network model that the difficulty of maintaining the tampered scientific research data is the same as that of the fast verification code before the tampering. It is even impossible to complete.

If the neural network model can be properly kept secret, and the confidential device provides the service of extracting the quick verification code, but the neural network model itself is not exposed, data protection can be well achieved. That is to say, the efficiency of evidence storage and verification of scientific research data is significantly improved, and at the same time, the impact on authenticity is small. Because the probability of tampering with 1Mb of scientific research data without causing rapid verification code changes is 1/4294967296, which is an extremely low probability. For some information based on other channels, it can be judged that the probability of scientific research data being tampered with is low, or the loss caused by scientific research data tampering is not large, the use of quick verification codes is sufficient to prove the authenticity of scientific research data. For example, in the sharing of scientific research data, when the scientific research data receiver selects scientific research data, it is not necessary to verify the authenticity of each optional scientific research data. It only needs to quickly verify the authenticity of several scientific research data of interest, and then further select the scientific research data that is finally confirmed to be received, and then verify the authenticity of the selected scientific research data through the hash value method to ensure scientific research The interests of the data receiver are also sufficient to eliminate the impact of scientific research data tampering on the selection of scientific research data.

Data values are expressed in hexadecimal, and tag values are also expressed in hexadecimal data. The method for establishing the fast verification code extraction model also includes: dividing the data value into multiple sub-data according to the preset bit length, and the neurons in the input layer of the neural network model correspond to the sub-data.

A kind of computer system, referring to accompanying drawing 4, computer system comprises memory, processor and the computer program 12 that is stored in the memory and can run on the processor, when computer program 12 is executed by the processor, realize as aforementioned block-based Chain scientific research data storage method.

The computer device can be a general purpose computer device or a special purpose computer device. In a specific implementation, the computer device may be a server cluster including multiple servers, such as a blockchain system including multiple nodes. Those skilled in the art can understand that FIG. 4 is only an example of computer equipment, and does not constitute a limitation to computer equipment. It may include more or less components than shown in the figure, or combine certain components, or different components, such as It may also include input and output devices, network access devices, etc.

The processor 13 may be a central processing unit (Central Processing Unit, CPU), and the processor 13 may also be other general-purpose processors 13, digital signal processors 13 (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general purpose processor 13 may be a microprocessor 13 or any conventional processor 13 .

The memory 11 may be an internal storage unit of the computer device in some embodiments, such as a hard disk or internal memory of the computer device. In other embodiments, the memory 11 can also be an external storage device of the computer equipment, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash memory Card (Flash Card), etc. Further, the memory 11 may also include both an internal storage unit of the computer device and an external storage device. The memory 11 is used to store operating systems, application programs, boot loaders (Boot Loader), data, and other programs. The memory 11 can also be used to temporarily store data that has been output or will be output.

A computer-readable storage medium. The computer-readable storage medium stores a computer program 12. When the computer program 12 is executed by a processor, the aforementioned blockchain-based scientific research data storage method is realized.

The substantive effect of the present invention is: after the scientific research equipment is started, the data packets are automatically collected, and then the certificate storage package is formed to realize the storage of the scientific research data, which can ensure the authenticity of the scientific research data; For the rapid verification of the authenticity of scientific research data, a new verification method for the authenticity of scientific research data is provided; the efficiency of authenticity verification of scientific research data can be improved with the help of fast verification codes.

The embodiment described above is only a preferred solution of the present invention, and does not limit the present invention in any form. There are other variations and modifications on the premise of not exceeding the technical solution described in the claims.

Claims (10)

1. A blockchain-based scientific research data storage method, characterized in that, Include the following steps: Set up the upper computer, after the scientific research equipment is started, the upper computer automatically collects the working data of the scientific research equipment; Periodically pack the working data into data packages, and associate the data packages with scientific equipment codes and time stamps as evidence packages; Extract the hash value of the certificate package and record it as the certificate hash value; Upload the certificate hash value to the blockchain storage to obtain the corresponding block height; Store the certificate storage package in association with the certificate hash value and block height; When verifying the certificate package, extract the hash value of the package and compare it with the hash value stored on the blockchain; if the hash value of the extracted package is consistent with that stored on the blockchain, then It is determined that the certificate storage package is authentic. On the contrary, if the hash value of the extracted certificate storage package is inconsistent with that stored on the blockchain, it is determined that the certificate storage package has been modified. 2. The blockchain-based scientific research data storage method according to claim 1, characterized in that, When extracting the hash value of the certificate deposit, the hash value of the certificate deposit package of the previous cycle is extracted together with the certificate deposit package of this cycle as the certificate deposit hash value. 3. The blockchain-based scientific research data storage method according to claim 1 or 2, characterized in that, The upper computer is connected to a plurality of scientific research equipment, collects work data of the plurality of scientific research equipment, and when packing the work data into a data package, intercepts part of the work data of other scientific research equipment and incorporates them into the data package. 4. The blockchain-based scientific research data storage method according to claim 3, characterized in that, The scientific research data storage method further includes: adding serial numbers and time stamps of corresponding scientific research equipment before and after the partial work data. 5. The blockchain-based scientific research data storage method according to claim 1 or 2, characterized in that, When extracting the deposit hash value, the following steps are also performed: Establishing a quick verification code extraction model, inputting the deposit package into the quick verification code extraction model to obtain a quick verification code; Upload both the quick verification code and the stored certificate hash value to the blockchain for storage; When verifying the certificate storage package, extract the quick verification code of the storage package, and the extracted quick verification code is consistent with the one stored on the blockchain, then it is determined that the certificate storage package is authentic, and the extracted quick verification code does not match the one stored on the blockchain , then extract the hash value of the certificate storage package. If the hash value of the extracted certificate storage package is consistent with that stored on the blockchain, it is determined that the certificate storage package is authentic. Conversely, if the extracted certificate storage package hash value is consistent with the block If the storage on the chain is inconsistent, it is determined that the certificate storage package has been modified. 6. The blockchain-based scientific research data storage method according to claim 5, characterized in that, Methods for building a fast captcha extraction model include: Set the tag set and data length; Generate several sample data, the sample data includes pairs of data values and labels, the number of data bits of the data values is consistent with the data length, and the labels belong to the label set; A neural network model is set up, the input layer neurons of the neural network model correspond to the value of each bit of the data value, and the output of the neural network model is the label; Using several of the sample data to train and test the neural network model until the correct rate of the neural network model reaches a preset threshold; Expressing the proof package in binary, dividing it into several binary numbers according to the preset length, the data value of the binary number is consistent with the data length; Inputting several binary numbers one by one into the trained neural network model is used as a fast verification code extraction model, and the splicing of labels of all binary numbers is used as a fast verification code. 7. The blockchain-based scientific research data storage method according to claim 6, characterized in that, The data values are represented in hexadecimal. 8. The blockchain-based scientific research data storage method according to claim 6, characterized in that, The method for establishing a fast captcha extraction model also includes: The data value is divided into a plurality of sub-data according to a preset bit length, and the neurons of the input layer of the neural network model correspond to the sub-data. 9. A computer system, characterized in that the computer system comprises a memory, a processor, and a computer program stored in the memory and operable on the processor, the computer program being executed by the processor Realize the method for depositing certificates of scientific research data based on block chain as described in any one of claims 1 to 8. 10. A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the region-based Blockchain scientific research data storage method.

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