Vaccine circulation data encryption method and system based on data mining

Abstract

The invention relates to the technical field of data encryption, in particular to a vaccine circulation data encryption method and system based on data mining. The method comprises the following steps: acquiring vaccine circulation storage data; performing general static encryption on the vaccine circulation storage data to generate vaccine circulation general static encrypted data; constructing a data warehouse based on the vaccine circulation general static encrypted data to obtain a vaccine circulation general encrypted database; performing access instruction analysis on the universal encrypted database for vaccine circulation to generate access instruction analysis data; performing instruction address extraction on the access instruction analysis data to obtain common address data and access address data; and performing address matching on the common address data and the access address data to generate matching success result data and matching failure result data. According to the invention, through multi-layer static encryption, abnormal transmission dynamic encryption and block chain real-time synchronization, the security of vaccine circulation data encryption and the real-time performance of abnormal processing and operation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data encryption, and in particular to a vaccine circulation data encryption method and system based on data mining. Background Art

[0002] As the global demand for vaccines grows, the vaccine supply chain has become more complex, involving multiple links from production, transportation, storage to final vaccination. Each link generates a large amount of sensitive data, such as production batches, cold chain temperature, inventory management, etc. If these data are tampered with or leaked, it will affect public health and safety. Therefore, data security is particularly important in vaccine circulation. Early data encryption methods mostly used symmetric encryption or asymmetric encryption technology. Although it improved the security of data, its encryption efficiency and flexibility were limited in the face of increasingly complex supply chain structures and large amounts of data. With the introduction of data mining technology, it is possible to discover potential risk points by mining data patterns in the circulation link, so as to implement encryption strategies more targeted. In addition, blockchain-based encryption methods have gradually emerged, which ensure that data cannot be tampered with through distributed ledger technology, and combine data mining technology to achieve accurate monitoring of the entire process of vaccine circulation. However, in the current traditional technology, the encryption protection of abnormal data transmission and operation feedback is relatively weak, which easily leads to attackers using abnormal operation vulnerabilities to tamper with data. At the same time, there are deficiencies in real-time synchronization and secure transmission of data operations, resulting in reduced timeliness and security of the data mining process. Summary of the invention

[0003] Based on this, it is necessary to provide a vaccine circulation data encryption method and system based on data mining to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a vaccine circulation data encryption method based on data mining is provided, the method comprising the following steps:

[0005] Step S1: Acquire vaccine circulation storage data; perform universal static encryption on the vaccine circulation storage data to generate vaccine circulation universal static encrypted data; construct a data warehouse based on the vaccine circulation universal static encrypted data to obtain a vaccine circulation universal encrypted database;

[0006] Step S2: parsing the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extracting the instruction address of the access instruction parsing data to obtain the commonly used address data and the access address data; performing address matching on the commonly used address data and the access address data to generate matching success result data and matching failure result data; performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypting the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate vaccine circulation double static encrypted data;

[0007] Step S3: Based on the vaccine circulation double static encryption data, database operations are performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; normal operation feedback data and abnormal operation feedback data are transmitted as feedback data to generate feedback transmission data packets; abnormal transmission dynamic encryption conversion is performed on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys;

[0008] Step S4: Use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively to generate vaccine circulation transmission unpacked data; block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; synchronize the vaccine circulation general encrypted database in real time through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0009] The present invention improves the security of data during storage by performing universal static encryption on vaccine circulation storage data, and effectively prevents unauthorized access and tampering. By constructing a universal encrypted database for vaccine circulation, an encrypted data warehouse is established to ensure the confidentiality and integrity of data during storage, and provide security for subsequent data processing. By parsing access instructions and extracting instruction addresses, accurate matching of common addresses and access addresses can be achieved, thereby improving the security and accuracy of database access. For instructions that fail to match, double static encryption of abnormal associated data is performed, further strengthening the protection against abnormal operations, preventing malicious access or potential attacks, and increasing the security redundancy and reliability of the system. Successful matching operations can ensure the normal operation of the database, generate normal operation feedback data, thereby improving the stability and operating efficiency of the system. By performing database operations on double static encrypted data, safe processing of abnormal operations is ensured, and sensitive data is prevented from being leaked or tampered with during operation. The feedback data of normal operations and abnormal operations are securely transmitted, and feedback transmission data packets are generated, thereby improving the efficiency and security of data transmission. By dynamically encrypting and converting the abnormal data in transmission, the security of the transmission process is ensured, the data is prevented from being intercepted or tampered during the transmission process, and the integrity of the operation feedback is effectively protected. The generation of dynamic decryption keys ensures the secure decryption of data during transmission and unpacking, and provides protection for subsequent operation feedback. By using the data dynamic decryption key to unpack the feedback data, the secure decryption of the data feedback process is ensured, and damage or loss in data transmission is effectively avoided. The unpacked data is processed on the block chain, which enhances the immutability and traceability of the vaccine circulation data, and ensures the integrity and transparency of the data through blockchain technology. The vaccine circulation database is synchronized in real time through the block chain data, which ensures the real-time and consistency of the system data and avoids the problem of data lag or untimely synchronization. Real-time data synchronization provides an efficient and secure data foundation for vaccine circulation data mining operations, making data mining analysis more timely and reliable. Therefore, the present invention improves the security of vaccine circulation data encryption and the real-time performance of abnormal processing and operation through multi-layer static encryption, abnormal transmission dynamic encryption and blockchain real-time synchronization.

[0010] Preferably, step S1 comprises the following steps:

[0011] Step S11: Obtaining vaccine circulation storage data;

[0012] Step S12: preprocessing the vaccine circulation storage data to generate standard vaccine circulation storage data, wherein the data preprocessing includes data cleaning, data missing value filling and data standardization;

[0013] Step S13: Perform universal static encryption on the standard vaccine circulation storage data to generate vaccine circulation universal static encrypted data;

[0014] Step S14: construct a data warehouse based on the general static encrypted data of vaccine circulation to obtain a general encrypted database for vaccine circulation.

[0015] The present invention provides a basic data source for subsequent processing by acquiring vaccine circulation storage data. This step ensures that there is enough information for further analysis and processing. Data cleaning is used to remove invalid, erroneous or duplicate data to improve data quality. Missing values ​​in the data are filled to ensure data integrity and avoid data deviation in analysis. The data is converted into a unified format to facilitate subsequent processing and analysis and ensure data consistency and comparability. Data preprocessing can improve the accuracy and consistency of data and lay a solid foundation for subsequent data processing and analysis. Universal static encryption is performed on standard vaccine circulation storage data to protect data privacy and security and prevent unauthorized access and data leakage. Static encryption protects the security of data during storage, complies with data protection regulations and requirements, and enhances data security and confidentiality. A data warehouse is constructed based on encrypted data to generate a universal encrypted database for vaccine circulation. The data warehouse provides a platform for efficient storage and management of data and supports complex queries and analysis. The construction of a data warehouse provides a centralized and systematic data storage solution that supports the management and analysis of large-scale data and ensures the security and integrity of data.

[0016] Preferably, general static encryption of standard vaccine circulation storage data includes:

[0017] Perform sensitivity classification processing on standard vaccine circulation storage data to generate a vaccine circulation data sensitivity classification table; perform key generation processing on standard vaccine circulation storage data according to the vaccine circulation data sensitivity classification table to generate a vaccine circulation data encryption key;

[0018] Performing data block processing on the standard vaccine circulation storage data to generate block vaccine data; performing integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; performing symmetrical encryption processing on the standard vaccine circulation storage data using the vaccine circulation data encryption key and the vaccine circulation data integrity verification code to generate encrypted vaccine circulation data;

[0019] The encrypted vaccine circulation data is processed for metadata generation to generate a vaccine circulation encrypted metadata package; the vaccine circulation encrypted metadata package is processed for digital signature to generate a signed encrypted data package; the signed encrypted data package is processed for secure storage to generate vaccine circulation general static encrypted data.

[0020] The present invention helps to select encryption measures by determining the sensitivity level of data, ensure strict protection of highly sensitive data, and thus improve the security of data. Appropriate encryption keys are assigned to data of different sensitivity levels to enhance the pertinence and effectiveness of data protection and improve the security of encryption operations. Through block processing, the flexibility and efficiency of data encryption are improved, encryption processing is made more efficient, and the risk of leakage of a single data block is reduced. The generated integrity check code is used to verify the integrity of data during storage and transmission, prevent data from being tampered with or damaged, and improve the credibility of data. Symmetric encryption ensures the confidentiality and security of data during storage. The encrypted data is difficult to be accessed or decrypted by unauthorized personnel, and the data is protected from being leaked. The generated metadata package helps to manage and retrieve encrypted data, and improves the traceability and management efficiency of data. Digital signatures ensure the source and integrity of data, effectively prevent forgery and tampering, and increase the security and credibility of data. Secure storage ensures the persistent protection of encrypted data, avoids unauthorized access or leakage of data during storage, and maintains the long-term security of data. Through the above steps, the standard vaccine circulation storage data is universally statically encrypted, which can ensure that the data is always protected during the entire storage and transmission process. The combined use of measures such as sensitivity classification, key generation, data segmentation and integrity verification improves data security and protection, while also providing guarantees for subsequent data management and auditing.

[0021] Preferably, step S2 comprises the following steps:

[0022] Step S21: monitoring access instructions of the vaccine circulation general encryption database to generate access instruction monitoring data; parsing the access instruction monitoring data to generate access instruction parsing data;

[0023] Step S22: performing access identity information identification on the access instruction parsing data to generate instruction access identity information data; performing common address extraction on the instruction access identity information data to obtain common address data; performing access address location on the access instruction parsing data to generate access address data;

[0024] Step S23: performing address matching on the commonly used address data and the access address data. When the commonly used address data and the access address data match, generating matching success result data, and performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data, wherein the database operations include adding data, deleting data, modifying data and viewing data;

[0025] Step S24: when the common address data and the access address data do not match, matching failure result data is generated, and the IP address distance deviation is calculated for the common address data and the access address data according to the matching failure result data to obtain the IP address distance deviation data;

[0026] Step S25: associate the access instruction parsing data with the abnormal instruction data through the IP address distance deviation data to generate abnormal instruction associated data; re-encrypt the abnormal instruction associated data to generate vaccine circulation double static encrypted data.

[0027] The present invention can track all database access requests by real-time monitoring and parsing access instructions, ensure that each access to the database is recorded and analyzed, and improve the transparency and security of data access management. Identity information identification and address positioning help to verify the legitimacy of the visitor and the correctness of the access address, improve the accuracy of data access control, and can identify and prevent illegal or abnormal access behaviors. Successful address matching indicates that the visitor is within the permitted address range and the database operation is authorized. This mechanism ensures that only verified addresses can perform database operations, reducing the risk of data leakage and misoperation. Processing address mismatches, especially by calculating IP address distance deviations, helps to identify potential illegal access behaviors or abnormal access patterns. This method helps to improve the system's ability to detect abnormal behaviors and take protective measures. Re-encrypting abnormal instructions can enhance protection against abnormal access and prevent potential security threats. The generated double static encrypted data provides an additional layer of protection, effectively preventing unauthorized access and data leakage, and improving overall data security. Through the above steps, access control and abnormal behavior monitoring of the general encrypted database for vaccine circulation can be achieved. The comprehensive use of measures such as real-time monitoring and analysis of access instructions, identity information recognition, address matching, abnormal instruction processing and re-encryption improves the security protection of the database, prevents illegal access and data leakage, and ensures the security and integrity of the data.

[0028] Preferably, step S25 comprises the following steps:

[0029] Step S251: performing abnormal instruction marking processing on the access instruction parsing data through the IP address distance deviation data to generate abnormal instruction data; extracting operation target data from the abnormal instruction data to obtain abnormal instruction operation target data;

[0030] Step S252: Associating the abnormal instruction operation target data with the vaccine circulation general encryption database to generate abnormal instruction associated data; performing double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data;

[0031] Step S253: dividing the data into blocks based on the abnormal instruction associated data to generate abnormal instruction associated data blocks; encrypting the abnormal instruction associated data blocks block by block using the double encryption selection algorithm data to generate double encrypted data blocks;

[0032] Step S254: perform data splicing on the doubly encrypted data blocks to generate doubly encrypted data; perform encryption result verification on the doubly encrypted data to generate vaccine circulation doubly static encrypted data.

[0033] The present invention can accurately identify and classify abnormal access requests through abnormal instruction labeling and target data extraction, and clarify the specific operation target of each abnormal instruction. This provides a clear basis for subsequent abnormal processing and data protection, and enhances the tracking and response capabilities of abnormal behaviors. Data association allows the abnormal instructions and database content to be organically combined to ensure that the processing of abnormal data is consistent with the actual database data. Selecting a double encryption algorithm can optimize the encryption process according to the security requirements and risk level of the data, and provide a higher level of protection. Data block processing helps to improve encryption efficiency and processing flexibility, while block-by-block encryption can ensure that each data block is independently protected. This method improves the precision and security of data encryption and can effectively prevent data leakage and tampering. Data splicing integrates all encrypted data blocks into complete double encrypted data to ensure data continuity and integrity. Encryption result verification can verify the accuracy of encryption operations and the security of data, and ensure that the generated double static encrypted data meets security requirements. Through the detailed processing of step S25, including abnormal instruction labeling, data association, double encryption algorithm selection, data block and block-by-block encryption, and final splicing and verification, effective protection of abnormal instructions can be achieved. The entire process provides multi-level data security measures to ensure that the processing of abnormal instructions does not affect the security and integrity of the overall data. This meticulous encryption processing mechanism effectively prevents data leakage and illegal access, and improves the protection level of vaccine circulation data.

[0034] Preferably, performing abnormal instruction screening processing on access instruction parsing data through address distance deviation data includes:

[0035] The access instruction parsing data is screened for suspicious access instructions through the IP address distance deviation data to obtain suspicious access instruction parsing data; the access frequency characteristics of the suspicious access instruction parsing data are analyzed to generate suspicious instruction access frequency data;

[0036] Classifying the suspicious instruction access frequency data by address properties to generate suspicious access instruction address category data; integrating the suspicious instruction access frequency data and the suspicious access instruction address category data by features to generate suspicious access instruction feature data;

[0037] The suspicious access instruction feature data is divided into data sets to generate a model training set and a model test set; the model training set is trained by a logistic regression algorithm to generate an abnormal access instruction detection pre-model; the abnormal access instruction detection pre-model is optimized and iterated using the model test set to generate an abnormal access instruction detection model;

[0038] The suspicious access instruction parsing data is imported into the abnormal access instruction detection model to detect and mark abnormal instructions and generate abnormal instruction data.

[0039] The present invention lays a foundation for subsequent analysis and processing by screening out potential suspicious instructions from a large number of access instructions, helps to reduce the burden of data processing and improve detection efficiency. Access frequency feature analysis can identify abnormal points in access patterns and help distinguish normal access from potential malicious access. This provides important feature data for building a detection model. Address property classification can further analyze and classify the source address of suspicious access instructions, helping to identify attack sources or abnormal behavior patterns. Feature integration ensures that all relevant information is comprehensively considered and improves the training effect of the model. The division of the data set into a training set and a test set is a standard step in model training, which helps to evaluate the performance and accuracy of the model. The logistic regression algorithm can effectively identify abnormal access instructions, and the model optimization process can improve the accuracy and robustness of detection. The detection model finally generated can more accurately identify and mark abnormal instructions. Suspicious access instructions are detected and marked by the trained model, and abnormal instructions can be automatically identified and processed. This improves the security and automation level of the system and effectively reduces the need for manual intervention. This step systematically processes and screens suspicious access instructions by comprehensively utilizing IP address distance deviation data and logistic regression algorithms. A complete abnormal access instruction detection process has been established from screening, feature analysis, classification, model training and optimization to the detection and labeling of abnormal instructions. This not only improves the efficiency and accuracy of detection, but also enhances the system's ability to respond to abnormal behavior.

[0040] Preferably, step S3 comprises the following steps:

[0041] Step S31: performing database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; performing feedback data encapsulation on the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet;

[0042] Step S32: performing feedback data transmission on the feedback data packet according to the access address data to generate a feedback transmission data packet, wherein the feedback transmission data packet includes the operation feedback data and the data decryption key; performing transmission anomaly monitoring on the feedback transmission data packet to generate transmission anomaly monitoring data;

[0043] Step S33: performing abnormal amplitude analysis on the transmission abnormality monitoring data to generate transmission abnormal amplitude data; performing transmission dynamic encryption conversion on the operation feedback data through the transmission abnormal amplitude data to generate operation feedback encrypted data.

[0044] The present invention operates the database by encrypting data, can effectively record abnormal behavior, and provide a basis for security audit and problem tracking. Normal and abnormal operation feedback data are encapsulated into a unified feedback data packet, which improves the integration and manageability of data processing and facilitates subsequent transmission and analysis. Feedback data is transmitted to the feedback data packet according to the access address data to generate a feedback transmission data packet, which includes operation feedback data and data decryption keys. Transmission anomaly monitoring is performed on the feedback transmission data packet to generate transmission anomaly monitoring data. It is ensured that the operation feedback data and the decryption key are safely transmitted to the designated destination, and the transmission efficiency and security of the data are improved. By monitoring the anomaly during the transmission process, potential problems can be discovered early to ensure the reliability and integrity of data transmission. Analyzing the abnormal amplitude during transmission can provide detailed information on the severity and impact range of the anomaly, which is helpful to optimize the data transmission strategy. Feedback data is dynamically encrypted according to the abnormal amplitude data, which enhances the security of data during transmission and prevents leakage or tampering. This step ensures the integrity and security of the data by dividing the feedback data into normal and abnormal data, encapsulating, transmitting and monitoring anomaly. By analyzing the transmission abnormal amplitude and performing dynamic encryption conversion, the protection of data during transmission is further enhanced. This process not only improves the security of data processing, but also enables efficient management and response to anomalies in data transmission.

[0045] Preferably, step S33 includes the following steps:

[0046] Step S331: extracting abnormal transmission features from the transmission abnormality monitoring data to obtain abnormal transmission feature data, wherein the abnormal transmission feature data includes packet loss rate, transmission delay, and data damage;

[0047] Step S332: Calculate the standard deviation of the abnormal transmission characteristic data to generate transmission abnormal amplitude data; compare the transmission abnormal amplitude data with a preset transmission abnormal amplitude threshold, and when the transmission abnormal amplitude data is greater than the preset transmission abnormal amplitude threshold, perform abnormal behavior frequency analysis on the transmission abnormal amplitude data to generate abnormal transmission behavior frequency data;

[0048] Step S333: dynamically update the encryption key of the operation feedback data and the data decryption key according to the abnormal transmission behavior frequency data to generate operation feedback encrypted data.

[0049] The present invention helps to fully understand the abnormal situation of data transmission by obtaining key abnormal features in transmission (such as packet loss rate, transmission delay and data corruption), which is convenient for subsequent analysis and processing. Calculating the standard deviation can quantify the amplitude of transmission anomalies and provide an indicator of the severity of the anomaly. By comparing the abnormal amplitude data with the preset threshold, abnormal situations beyond the normal range can be detected for further analysis. Analyzing the frequency of abnormal behavior can identify the types and frequencies of common problems in transmission and help formulate more effective response strategies. Dynamically updating encryption keys can enhance data security and respond to attack and leakage risks. Ensure that data can still be effectively protected even when anomalies are found. This step can accurately identify and quantify abnormal situations in transmission through abnormal transmission feature extraction and amplitude analysis. By comparing with the preset threshold and performing frequency analysis, the characteristics and impact of abnormal behavior can be further understood. Based on these analysis results, the encryption key is dynamically updated to improve the security of data transmission. This process helps to respond and adjust quickly when problems are found, and strengthen data protection measures.

[0050] Preferably, step S4 comprises the following steps:

[0051] Step S41: using the data dynamic decryption key and the data decryption key to respectively depack the operation feedback encrypted data and the operation feedback data, and generate vaccine circulation transmission depacketization data;

[0052] Step S42: Distributed storage is performed on the vaccine circulation transmission unpacked data to generate vaccine circulation transmission distributed storage data; block chaining is performed on the vaccine circulation transmission distributed storage data through blockchain technology to generate vaccine circulation block chaining data;

[0053] Step S43: Real-time data operation synchronization of the vaccine circulation universal encrypted database is performed through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0054] The present invention unpacks the encrypted data through the data dynamic decryption key and the data decryption key to restore it to readable vaccine circulation data. This ensures the integrity and availability of the data during transmission and storage. The data is stored on multiple nodes to improve the reliability and availability of the data and prevent single point failures from affecting the integrity of the data. The data is written into the blockchain using blockchain technology to ensure the immutability and transparency of the data and improve the security and traceability of the data. Ensure that the data in the general encryption database for vaccine circulation is consistent with the data on the blockchain to improve the timeliness and accuracy of the data. By synchronizing the data, the latest data support is provided for subsequent data mining operations, which helps to deeply analyze and obtain valuable information. This step realizes the comprehensive protection and management of vaccine circulation data through data unpacking, distributed storage, blockchain on-chain and real-time data synchronization. The data unpacking step ensures the availability of encrypted data; the distributed storage and blockchain on-chain steps enhance the security and reliability of the data; the real-time monitoring step ensures the encryption performance during data processing. These processing steps work together to improve the security, integrity and traceability of vaccine circulation data.

[0055] In this specification, a vaccine circulation data encryption system based on data mining is provided, which is used to execute the above-mentioned vaccine circulation data encryption method based on data mining. The vaccine circulation data encryption system based on data mining includes:

[0056] A database construction module is used to obtain vaccine circulation storage data; perform universal static encryption on vaccine circulation storage data to generate universal static encrypted data for vaccine circulation; perform data warehouse construction based on universal static encrypted data for vaccine circulation to obtain universal encrypted database for vaccine circulation;

[0057] The abnormal access encryption module is used to parse the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extract the instruction address of the access instruction parsing data to obtain the common address data and the access address data; match the common address data and the access address data to generate the matching success result data and the matching failure result data; perform database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypt the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate the vaccine circulation double static encryption data;

[0058] The abnormal transmission encryption module is used to perform database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; transmit the normal operation feedback data and the abnormal operation feedback data for feedback data transmission to generate feedback transmission data packets; perform abnormal transmission dynamic encryption conversion on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys;

[0059] The feedback storage module is used to use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively, and generate vaccine circulation transmission unpacked data; to block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; to perform real-time data operation synchronization on the vaccine circulation general encrypted database through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0060] The beneficial effect of the present invention is that by performing general static encryption on the vaccine circulation storage data, an encrypted data warehouse is constructed, which effectively improves the basic security of the vaccine circulation data, prevents the data from being illegally accessed and tampered with during storage, and provides a security basis for subsequent encryption operations. By parsing and matching the access instructions, it is possible to identify conventional and abnormal access behaviors, re-encrypt the abnormal instructions, ensure the security of database access operations, avoid unauthorized access and potential attacks, and enhance the dynamic protection capability of the database. In the process of operation feedback and abnormal transmission, through dynamic encryption conversion, data transmission is protected in real time, effectively avoiding data being stolen or tampered with during transmission, and improving the security and reliability of transmission. By decrypting feedback data and blockchain on the chain, the real-time operation synchronization of the vaccine circulation database is realized, the integrity and non-tamperability of the data are ensured, and a safe and reliable data basis is provided for subsequent data mining. Therefore, the present invention improves the security of vaccine circulation data encryption and the real-time performance of abnormal processing and operation through multi-layer static encryption, abnormal transmission dynamic encryption and blockchain real-time synchronization. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of the steps of a vaccine circulation data encryption method based on data mining;

[0062] Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0063] Figure 3 for Figure 1 Detailed implementation steps of step S3 in FIG.

[0064] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0065] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0066] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0067] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0068] To achieve this, please refer to Figures 1 to 3 , a vaccine circulation data encryption method based on data mining, the method comprising the following steps:

[0069] Step S1: Acquire vaccine circulation storage data; perform universal static encryption on the vaccine circulation storage data to generate vaccine circulation universal static encrypted data; construct a data warehouse based on the vaccine circulation universal static encrypted data to obtain a vaccine circulation universal encrypted database;

[0070] Step S2: parsing the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extracting the instruction address of the access instruction parsing data to obtain the commonly used address data and the access address data; performing address matching on the commonly used address data and the access address data to generate matching success result data and matching failure result data; performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypting the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate vaccine circulation double static encrypted data;

[0071] Step S3: Based on the vaccine circulation double static encryption data, database operations are performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; normal operation feedback data and abnormal operation feedback data are transmitted as feedback data to generate feedback transmission data packets; abnormal transmission dynamic encryption conversion is performed on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys;

[0072] Step S4: Use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively to generate vaccine circulation transmission unpacked data; block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; synchronize the vaccine circulation general encrypted database in real time through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0073] The present invention improves the security of data during storage by performing universal static encryption on vaccine circulation storage data, and effectively prevents unauthorized access and tampering. By constructing a universal encrypted database for vaccine circulation, an encrypted data warehouse is established to ensure the confidentiality and integrity of data during storage, and provide security for subsequent data processing. By parsing access instructions and extracting instruction addresses, accurate matching of common addresses and access addresses can be achieved, thereby improving the security and accuracy of database access. For instructions that fail to match, double static encryption of abnormal associated data is performed, further strengthening the protection against abnormal operations, preventing malicious access or potential attacks, and increasing the security redundancy and reliability of the system. Successful matching operations can ensure the normal operation of the database, generate normal operation feedback data, thereby improving the stability and operating efficiency of the system. By performing database operations on double static encrypted data, safe processing of abnormal operations is ensured, and sensitive data is prevented from being leaked or tampered with during operation. The feedback data of normal operations and abnormal operations are securely transmitted, and feedback transmission data packets are generated, thereby improving the efficiency and security of data transmission. By dynamically encrypting and converting the abnormal data in transmission, the security of the transmission process is ensured, the data is prevented from being intercepted or tampered during the transmission process, and the integrity of the operation feedback is effectively protected. The generation of dynamic decryption keys ensures the secure decryption of data during transmission and unpacking, and provides protection for subsequent operation feedback. By using the data dynamic decryption key to unpack the feedback data, the secure decryption of the data feedback process is ensured, and damage or loss in data transmission is effectively avoided. The unpacked data is processed on the block chain, which enhances the immutability and traceability of the vaccine circulation data, and ensures the integrity and transparency of the data through blockchain technology. The vaccine circulation database is synchronized in real time through the block chain data, which ensures the real-time and consistency of the system data and avoids the problem of data lag or untimely synchronization. Real-time data synchronization provides an efficient and secure data foundation for vaccine circulation data mining operations, making data mining analysis more timely and reliable. Therefore, the present invention improves the security of vaccine circulation data encryption and the real-time performance of abnormal processing and operation through multi-layer static encryption, abnormal transmission dynamic encryption and blockchain real-time synchronization.

[0074] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of a vaccine circulation data encryption method based on data mining of the present invention. In this example, the vaccine circulation data encryption method based on data mining includes the following steps:

[0075] Step S1: Acquire vaccine circulation storage data; perform universal static encryption on the vaccine circulation storage data to generate vaccine circulation universal static encrypted data; construct a data warehouse based on the vaccine circulation universal static encrypted data to obtain a vaccine circulation universal encrypted database;

[0076] In an embodiment of the present invention, by acquiring vaccine circulation storage data, the vaccine circulation storage data can be obtained from multiple sources, including: vaccine production and factory circulation data provided by vaccine manufacturers, transportation and temperature control data provided by logistics companies during the transportation of vaccines, and storage data of vaccines in warehouses or distribution centers, such as temperature, inventory changes, etc. The data exists in the form of structured data, such as CSV, JSON, XML, etc., or in a database table format, including information such as the batch number, production date, expiration date, storage temperature, and circulation process records of the vaccine. The data from these different sources are aggregated using an interface or a dedicated data acquisition tool. It is necessary to ensure that the collected data is complete, accurate, and updated in real time. Classify according to the sensitivity of the data, for example, the batch number, production date, etc. are classified as low-sensitivity data, and the storage temperature, circulation path, etc. are classified as high-sensitivity data. A sensitivity classification table is generated based on the classification results for subsequent encryption operations. According to the vaccine circulation data sensitivity classification table, a corresponding encryption key is generated. The key is generated by a symmetric encryption algorithm (such as AES), and the key length and complexity are dynamically adjusted according to the sensitivity of the data to generate a corresponding encryption key for each type of data. The vaccine circulation storage data is cut into data blocks to ensure that each data block is processed independently during the encryption process. Generate an integrity check code (such as a hash value) for each data block for subsequent verification of data integrity. Generate a corresponding integrity check code for each data block. Use the vaccine circulation data encryption key and integrity check code to symmetric encrypt the data block. The encrypted data has strong security and can prevent the data from being tampered with during transmission and storage. Generate a metadata package for the encrypted vaccine circulation data, including information such as encryption time, encryption algorithm, and key usage. Digitally sign the metadata package to ensure the authenticity and non-repudiation of the data source, and combine it with the digitally signed data package to further improve the security of the data. Store the encrypted data package in a secure database or storage system and ensure secure access rights to the data. The final storage result is highly secure vaccine circulation data that has been encrypted and properly stored. Design a data warehouse model based on the business needs of vaccine circulation. The model includes multiple dimensions, such as time dimension (transportation time, storage time), geographic dimension (transportation route, storage location), product dimension (vaccine type, batch number), etc. Determine the data architecture (such as star or snowflake architecture) for efficient storage and query. Import the encrypted vaccine circulation data into the data warehouse and organize and store it according to the designed dimensions and architecture. Create indexes for the data to improve query performance; at the same time, the data can be partitioned for efficient management and query. Compress the data stored in the data warehouse to reduce storage space; and optimize data indexes and query paths according to query requirements. Set access control policies for vaccine circulation data in the data warehouse to ensure that only authorized users can access and operate.After the data warehouse was finally built, a universal encrypted database for vaccine circulation with high security and efficiency was generated. This database can support various data queries and analyses while ensuring the security and integrity of the data.

[0077] Step S2: parsing the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extracting the instruction address of the access instruction parsing data to obtain the commonly used address data and the access address data; performing address matching on the commonly used address data and the access address data to generate matching success result data and matching failure result data; performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypting the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate vaccine circulation double static encrypted data;

[0078] In an embodiment of the present invention, the access instructions through the vaccine circulation general encryption database may include read, write, modify and other operation requests. The received access instructions are parsed using a database access parsing tool. The parsing tool should be able to identify the structure of the instruction, the operation type, and the data object targeted. After parsing, the instruction is converted into structured data, called access instruction parsing data, including instruction type, operation target data, access path, timestamp, etc. According to the content of the instruction, different operation steps are decomposed, such as target database table, data field, etc. During the instruction parsing process, the detailed information of the access is recorded and a parsing log is generated for subsequent tracking. The source address of the access instruction is extracted from the access instruction parsing data, which usually includes the IP address of the client, the network path of the access, etc. The access path and network source information extracted form the access address data. By querying the historical access records in the database, the commonly used addresses defined in the system (such as frequently visited IP addresses or specific network nodes) are extracted. The addresses that meet the predefined conditions in the historical access records are extracted to form commonly used address data. According to preset matching rules, such as the similarity of IP addresses, access frequency, etc., the commonly used address data and the access address data are compared. Use the address matching algorithm to compare the data to determine whether the access address belongs to the commonly used address range. When the access address successfully matches the commonly used address, the matching success result data is generated. If the access address fails to match the commonly used address, the matching failure result data is generated. If the access address passes the match, the system executes the request in the access instruction (such as read, write, modify, etc.). After the operation is completed, the system generates feedback data, called normal operation feedback data, which is used to indicate that the access instruction is successfully executed and the data operation is completed normally. For the access instruction parsing data that failed to match, the system marks it as an abnormal instruction and performs subsequent processing. Through the detailed information in the access instruction parsing data, the relevant abnormal data is extracted, and the association analysis is performed to generate abnormal association data. For the extracted abnormal association data, a suitable encryption algorithm is selected for re-encryption processing. The abnormal association data is encrypted twice to ensure the security of the data in storage and transmission, and generate double static encryption data for vaccine circulation. This data has higher security and can be used for subsequent security verification or audit operations.

[0079] Step S3: Based on the vaccine circulation double static encryption data, database operations are performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; normal operation feedback data and abnormal operation feedback data are transmitted as feedback data to generate feedback transmission data packets; abnormal transmission dynamic encryption conversion is performed on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys;

[0080] In an embodiment of the present invention, the double static encrypted data is extracted from the database through the access rights of the vaccine circulation system. The data is decrypted using the relevant decryption key to restore the original data related to the vaccine circulation. According to the access instruction, the corresponding database operation is performed, including reading, modifying, adding or deleting data. The requested encrypted data is decrypted and read. According to the access rights, the data in the database is operated accordingly. During the database operation process, the system monitors the legality and validity of each operation in real time. If an abnormality is found during the operation (such as unauthorized operation, illegal data modification, etc.), the system generates abnormal operation feedback data. The abnormal feedback data includes information such as operation instructions, time, abnormal cause, abnormal operation user and access path. The normal operation feedback data and the abnormal operation feedback data are integrated to form a complete feedback data packet, which includes the integrity of the operation and whether an abnormality occurs. The format of the feedback data packet should include: operation type, operation status (normal or abnormal), operation time, access user and path, encryption status of the data, etc. The feedback data packet is dynamically encrypted to generate a feedback transmission data packet, which contains the encrypted operation feedback data. In order to ensure that the recipient can decrypt the data packet, the system also generates a data dynamic decryption key corresponding to the feedback transmission data packet. During the transmission of feedback transmission data packets, the system monitors the transmission status of the network in real time, including data packet loss, delay and transmission integrity. Through the transmission monitoring module, potential transmission anomalies are captured and transmission anomaly monitoring data is generated to record the type, frequency and impact range of the anomaly. According to the transmission anomaly monitoring data, dynamic encryption adjustment is performed on the feedback transmission data packet to ensure that the data can still be safely transmitted under abnormal transmission conditions. Additional encryption processing is performed on the feedback data packet in the abnormal transmission environment to generate operation feedback encrypted data to improve data security. While encrypting the transmission, the system automatically generates a data dynamic decryption key for the receiver to decrypt the feedback data packet.

[0081] Step S4: Use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively to generate vaccine circulation transmission unpacked data; block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; synchronize the vaccine circulation general encrypted database in real time through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0082] In an embodiment of the present invention, encrypted operation feedback data and operation feedback encrypted data are received from a data transmission channel. The system automatically obtains a data dynamic decryption key for decrypting feedback data, which is generated during the transmission process and paired with the feedback data packet. The obtained dynamic decryption key is used to decrypt the operation feedback data and the operation feedback encrypted data, respectively, to restore the original data of the feedback, and to generate vaccine circulation transmission unpacked data. The system performs integrity check on the decrypted data to ensure that the data has not been tampered with or lost. The unpacked vaccine circulation transmission unpacked data is stored in blocks in multiple distributed storage nodes. This process ensures that the data has high availability and fault tolerance, and can respond quickly to access requests. The system uses blockchain technology to generate corresponding blocks from the data on each distributed storage node, and encrypts the data in the block to ensure that the data cannot be tampered with. Through the consensus mechanism, the distributed storage data blocks are synchronized on the chain to generate vaccine circulation block chain data. Each block contains metadata such as the hash value, timestamp, and data signature of the data to ensure the security and traceability of the data. In the process of data on-chain, multiple nodes of the blockchain network are verified through consensus algorithms to ensure that the data stored on the blockchain is verified and consistent. By analyzing the on-chain data of the vaccine circulation block, relevant operation instructions are extracted and compared with the current status of the vaccine circulation general encrypted database, and the content of the database is updated in real time. Ensure that the on-chain data and the data in the database remain consistent to prevent inaccurate operations due to data delays or loss. Based on the synchronized database, perform data mining operations on vaccine circulation data. This includes: Data analysis and pattern recognition: mining key data points in the vaccine circulation chain. Anomaly detection: identifying potential abnormal operations or abnormal circulation behaviors through data mining. Trend prediction: mining future vaccine circulation trends based on historical data to provide data support for supply chain optimization and demand forecasting. As a new data source, the data mining results can be further fed back to the vaccine circulation management system to provide a basis for optimizing the circulation process.

[0083] Preferably, step S1 comprises the following steps:

[0084] Step S11: Obtaining vaccine circulation storage data;

[0085] Step S12: preprocessing the vaccine circulation storage data to generate standard vaccine circulation storage data, wherein the data preprocessing includes data cleaning, data missing value filling and data standardization;

[0086] Step S13: Perform universal static encryption on the standard vaccine circulation storage data to generate vaccine circulation universal static encrypted data;

[0087] Step S14: construct a data warehouse based on the general static encrypted data of vaccine circulation to obtain a general encrypted database for vaccine circulation.

[0088] In an embodiment of the present invention, by determining the source of vaccine circulation storage data, such as a supply chain management system, a logistics tracking system, an inventory management system, etc., the vaccine circulation storage data is extracted from a relevant system or database, and the data includes information such as vaccine batch number, production date, expiration date, storage conditions, and transportation records. Ensure that the acquired data conforms to a standard format, such as CSV, JSON, XML, etc., for subsequent processing. Delete duplicate records and irrelevant data. Correct format errors, logical errors, or outliers in the data, such as incorrect date formats or inconsistent units. Detect missing or incomplete values ​​in the data set. Use mean interpolation, forward filling, backward filling, etc. to fill missing values, or select a specific filling strategy according to business rules. Convert the data to a unified format and range, for example, unify the date into a YYYY-MM-DD format, and standardize the quantity into a unified unit. Normalize the numerical data and scale the data to a unified range (such as 0 to 1) to ensure data consistency. The cleaned, filled, and standardized data is saved as standard vaccine circulation storage data for subsequent processing. Select a suitable data encryption algorithm, such as AES (Advanced Encryption Standard) or RSA (asymmetric encryption algorithm), and determine the algorithm based on the security requirements and processing capabilities of the data. Use the selected encryption algorithm to encrypt the standard vaccine circulation storage data to generate general static encrypted data for vaccine circulation. Ensure that the keys used in the encryption process are stored securely and that the key management follows best practices. Save the encrypted data to a secure location to protect the confidentiality and integrity of the data. Define the structure of the data warehouse, including data tables, indexes, views, etc., to meet the storage and query requirements of vaccine circulation data. Select a specific data model (such as star schema, snowflake schema) to optimize data query and reporting. Use a database management system (such as MySQL, PostgreSQL, Oracle) to create a data warehouse. Import the general static encrypted data for vaccine circulation into the data warehouse. Optimize the performance of the data warehouse, such as creating indexes, optimizing query statements, etc., to improve data access efficiency. Configure the security settings of the database to ensure data access control and data encryption. Test the functions of the data warehouse, such as query, report generation, etc., to ensure the stability and performance of the system. Complete the construction of the data warehouse, provide a safe and reliable data storage environment, and support data analysis and business decision-making.

[0089] Preferably, general static encryption of standard vaccine circulation storage data includes:

[0090] Perform sensitivity classification processing on standard vaccine circulation storage data to generate a vaccine circulation data sensitivity classification table; perform key generation processing on standard vaccine circulation storage data according to the vaccine circulation data sensitivity classification table to generate a vaccine circulation data encryption key;

[0091] Performing data block processing on the standard vaccine circulation storage data to generate block vaccine data; performing integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; performing symmetrical encryption processing on the standard vaccine circulation storage data using the vaccine circulation data encryption key and the vaccine circulation data integrity verification code to generate encrypted vaccine circulation data;

[0092] The encrypted vaccine circulation data is processed for metadata generation to generate a vaccine circulation encrypted metadata package; the vaccine circulation encrypted metadata package is processed for digital signature to generate a signed encrypted data package; the signed encrypted data package is processed for secure storage to generate vaccine circulation general static encrypted data.

[0093] In an embodiment of the present invention, by formulating data sensitivity classification standards, including personal identity information (PII), health information, trade secrets, etc., standard vaccine circulation storage data is classified according to the standards to identify sensitive information in the data. A vaccine circulation data sensitivity classification table is created to record the sensitivity level, processing requirements and protection measures of each type of data. The sensitivity classification table generally includes fields such as data type, sensitivity level, encryption requirements, access control, etc. According to the sensitivity classification table, a suitable encryption algorithm is selected, such as AES (Advanced Encryption Standard) or RSA (asymmetric encryption algorithm). The selected algorithm is used to generate a vaccine circulation data encryption key. The key length and encryption strength should be determined according to the data sensitivity requirements. The generated encryption key is stored securely to avoid unauthorized access. A hardware security module (HSM) or an encryption key management system (KMS) can be used. Define a block strategy, such as block by data size, data type or business logic. Divide the standard vaccine circulation storage data into smaller data blocks to generate block vaccine data. Ensure the integrity and availability of each data block, and record the order and metadata of the blocks. Select a specific verification algorithm, such as SHA-256 (Secure Hash Algorithm) or MD5 (Message Digest Algorithm) for integrity verification. Calculate the verification code for the standard vaccine circulation storage data and generate the vaccine circulation data integrity verification code. Store the verification code together with the data block information to ensure the integrity of the data. Use the vaccine circulation data encryption key to symmetric encrypt the block vaccine data to generate encrypted vaccine circulation data. Each data block is encrypted using the same encryption key. Ensure the security of the key during the encryption process to avoid key leakage. Perform metadata generation processing on the encrypted vaccine circulation data, including data block information, verification code, encryption key identifier, etc. Create a vaccine circulation encrypted metadata package, merge the encrypted data with its metadata, and securely store the metadata package to ensure that it is not tampered with or lost. Select a specific digital signature algorithm, such as RSA, ECDSA (Elliptic Curve Digital Signature Algorithm), etc. Use the signature algorithm to digitally sign the vaccine circulation encrypted metadata package to generate a signed encrypted data package. Ensure the correctness of the signature and verify that the signed data package has not been tampered with. Select a specific storage medium, such as an encrypted storage device, cloud storage service, etc. Configure access control permissions to ensure that only authorized personnel can access and operate stored data packets. Perform data backup to ensure that data can be restored in the event of loss or damage. Implement data storage monitoring to detect and respond to potential security threats.

[0094] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0095] Step S21: monitoring access instructions of the vaccine circulation general encryption database to generate access instruction monitoring data; parsing the access instruction monitoring data to generate access instruction parsing data;

[0096] Step S22: performing access identity information identification on the access instruction parsing data to generate instruction access identity information data; performing common address extraction on the instruction access identity information data to obtain common address data; performing access address location on the access instruction parsing data to generate access address data;

[0097] Step S23: performing address matching on the commonly used address data and the access address data. When the commonly used address data and the access address data match, generating matching success result data, and performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data, wherein the database operations include adding data, deleting data, modifying data and viewing data;

[0098] Step S24: when the common address data and the access address data do not match, matching failure result data is generated, and the IP address distance deviation is calculated for the common address data and the access address data according to the matching failure result data to obtain the IP address distance deviation data;

[0099] Step S25: associate the access instruction parsing data with the abnormal instruction data through the IP address distance deviation data to generate abnormal instruction associated data; re-encrypt the abnormal instruction associated data to generate vaccine circulation double static encrypted data.

[0100] In an embodiment of the present invention, by selecting a specific access monitoring tool or system (such as a firewall, an intrusion detection system, etc.). The monitoring rules are configured, including recording all access instructions and operation requests. All access instructions to the vaccine circulation general encryption database are captured and recorded, and access instruction monitoring data is generated, including information such as access time, request source, and operation type. The access instruction monitoring data is parsed using a parsing tool or algorithm, and detailed information of the access instruction (such as request content, target resource, etc.) is extracted to obtain access instruction parsing data, and various detailed information of the instruction is recorded. Identity authentication is performed through the identity information (such as user name, ID, IP address, etc.) in the access instruction, and instruction access identity information data is generated, including information such as user identity and access rights. The user's commonly used access address or geographic location is extracted from the instruction access identity information data to obtain commonly used address data for subsequent address matching and analysis. The IP address or other address information in the access instruction is geographically located to generate access address data, including the actual geographic location or IP address of the access. The commonly used address data and the access address data are compared using an address matching algorithm. When the address match is successful, matching success result data is generated. According to the matching success result data, perform database operations, including adding data, deleting data, changing data and viewing data, generate normal operation feedback data, and record the operation results and status. When the commonly used address data and the access address data do not match, generate matching failure result data. Use the distance calculation method between geographic locations or IP addresses to calculate the IP address distance deviation data, obtain the IP address distance deviation data, and record the physical or logical distance difference between the addresses. Use the IP address distance deviation data to associate the access instruction parsing data with abnormal instruction data, identify abnormal operations, generate abnormal instruction association data, and record all abnormal instructions and associated information. Use a strong encryption algorithm to re-encrypt the abnormal instruction association data to generate vaccine circulation double static encrypted data. Ensure the security of the re-encryption process to avoid data leakage or unauthorized access. Securely store the vaccine circulation double static encrypted data and record the operation log of the encryption and decryption process.

[0101] Preferably, step S25 includes the following steps:

[0102] Step S251: performing abnormal instruction marking processing on the access instruction parsing data through the IP address distance deviation data to generate abnormal instruction data; extracting operation target data from the abnormal instruction data to obtain abnormal instruction operation target data;

[0103] Step S252: Associating the abnormal instruction operation target data with the vaccine circulation general encryption database to generate abnormal instruction associated data; performing double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data;

[0104] Step S253: dividing the data into blocks based on the abnormal instruction associated data to generate abnormal instruction associated data blocks; encrypting the abnormal instruction associated data blocks block by block using the double encryption selection algorithm data to generate double encrypted data blocks;

[0105] Step S254: perform data splicing on the doubly encrypted data blocks to generate doubly encrypted data; perform encryption result verification on the doubly encrypted data to generate vaccine circulation doubly static encrypted data.

[0106] In an embodiment of the present invention, the access instruction parsing data is annotated abnormally by the IP address distance deviation data. Annotation rules are set to identify and annotate abnormal instructions (such as abnormal access address, abnormal access frequency, etc.), generate abnormal instruction data, and record all abnormal annotated instruction information. Extract data related to the operation target (such as target resources, operation type, etc.) from the abnormal instruction data, obtain abnormal instruction operation target data, and record the specific operation target involved in the abnormal instruction. The abnormal instruction operation target data is associated with the general encryption database for vaccine circulation to generate abnormal instruction associated data, and record the association information between the abnormal instruction and the database. Evaluate the available double encryption algorithms (such as a combination of AES encryption and RSA encryption). Select a specific double encryption algorithm according to data security requirements and performance requirements, generate double encryption selection algorithm data, and record the selected encryption algorithm and parameter settings. The abnormal instruction associated data is processed in blocks to generate multiple abnormal instruction associated data blocks. Determine the block size according to the data volume and encryption requirements, use the double encryption selection algorithm data to encrypt each abnormal instruction associated data block, generate a double encrypted data block, and record the encrypted data block information. All double encrypted data blocks are spliced ​​to generate complete double encrypted data. Use tools or programs to merge encrypted data blocks into a continuous data stream. Perform integrity and validity checks on the double-encrypted data to ensure the integrity of the data during the encryption process, generate double static encrypted data for vaccine circulation, and record the final encrypted data and its verification results.

[0107] Preferably, performing abnormal instruction screening processing on access instruction parsing data through address distance deviation data includes:

[0108] The access instruction parsing data is screened for suspicious access instructions through the IP address distance deviation data to obtain suspicious access instruction parsing data; the access frequency characteristics of the suspicious access instruction parsing data are analyzed to generate suspicious instruction access frequency data;

[0109] Classifying the suspicious instruction access frequency data by address properties to generate suspicious access instruction address category data; integrating the suspicious instruction access frequency data and the suspicious access instruction address category data by features to generate suspicious access instruction feature data;

[0110] The suspicious access instruction feature data is divided into data sets to generate a model training set and a model test set; the model training set is trained by a logistic regression algorithm to generate an abnormal access instruction detection pre-model; the abnormal access instruction detection pre-model is optimized and iterated using the model test set to generate an abnormal access instruction detection model;

[0111] The suspicious access instruction parsing data is imported into the abnormal access instruction detection model to detect and mark abnormal instructions and generate abnormal instruction data.

[0112] In an embodiment of the present invention, by collecting IP address distance deviation data from access logs, these data indicate the geographical distance difference between the request source IP and the common IP address. Thresholds or rules are set to filter out IP addresses that deviate significantly from the normal mode. For example, IP addresses whose distance exceeds a certain threshold are marked as suspicious. Suspicious access instructions are filtered out to form suspicious access instruction parsing data, and all filtered access instructions are recorded. The access frequency of each IP address in the suspicious access instruction parsing data is analyzed, including the number of accesses and time intervals. Frequency features, such as request frequency, maximum and minimum access intervals, etc., are calculated to form suspicious instruction access frequency data, and detailed frequency feature data is generated for subsequent classification and analysis. Using a known malicious IP address library and address features, a classification algorithm (such as a decision tree, a random forest) is applied to classify the suspicious instruction access frequency data. IP addresses are classified, such as normal addresses, potential malicious addresses, known malicious addresses, etc., to generate suspicious access instruction address category data. The classification information of each IP address is recorded to provide basic data for further analysis. The suspicious instruction access frequency data is integrated with the suspicious access instruction address category data. Combine the access frequency and address category information to generate suspicious access instruction feature data. This can be achieved by connecting data tables or creating feature vectors. The integrated data set will be used for model training to form a comprehensive suspicious instruction feature set. Divide the suspicious access instruction feature data into a model training set (usually 70%-80%) and a model test set (20%-30%) in proportion. Ensure that the divided training set and test set are representative to cover various abnormal situations. Use the logistic regression algorithm to train the model training set. Logistic regression can handle binary classification problems and is suitable for anomaly detection. The training process includes feature selection, model fitting and parameter optimization, and finally generates an abnormal access instruction detection pre-model. Use the model test set to test the abnormal access instruction detection pre-model and evaluate the model's accuracy, recall rate, F1 score and other indicators. Adjust the model parameters according to the test results, optimize the model performance, and generate the final abnormal access instruction detection model. Input the suspicious access instruction parsing data into the abnormal access instruction detection model. The model detects abnormal instructions based on what it has learned during the training process, identifies and labels abnormal access instructions, generates abnormal instruction data, and records all detected abnormal instructions and their labeling information.

[0113] As an example of the present invention, refer to Figure 3 As shown, in this example, step S3 includes:

[0114] Step S31: performing database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; performing feedback data encapsulation on the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet;

[0115] Step S32: performing feedback data transmission on the feedback data packet according to the access address data to generate a feedback transmission data packet, wherein the feedback transmission data packet includes the operation feedback data and the data decryption key; performing transmission anomaly monitoring on the feedback transmission data packet to generate transmission anomaly monitoring data;

[0116] Step S33: performing abnormal amplitude analysis on the transmission abnormality monitoring data to generate transmission abnormal amplitude data; performing transmission dynamic encryption conversion on the operation feedback data through the transmission abnormal amplitude data to generate operation feedback encrypted data.

[0117] In an embodiment of the present invention, the vaccine circulation general encryption database is operated by using the vaccine circulation double static encryption data. This involves verifying the normal operation of the database (such as adding, deleting, modifying, and viewing data). Any abnormal activities found during the operation are recorded. For example, operation errors, data modifications that do not comply with permissions, etc., generate abnormal operation feedback data. For normal database operations (such as successful data updates and queries), normal operation feedback data is recorded and generated. The normal operation feedback data and the abnormal operation feedback data are integrated. The integration process includes arranging all feedback information into a data packet format. The integrated data is encapsulated into a feedback data packet using data packaging technology. The data packet contains normal and abnormal feedback information, and is accompanied by necessary metadata, such as operation time, operation type, etc. According to the access address data, a suitable transmission protocol (such as HTTPS, FTP, SFTP) is selected to send the feedback data packet to the target server or system. The feedback transmission data packet should include operation feedback data and data decryption keys to ensure that the recipient can correctly decrypt and read the data packet. Real-time monitoring during the transmission process is implemented to monitor the transmission status of the data packet, such as delay, packet loss, etc. Record any transmission anomaly information and generate transmission anomaly monitoring data for subsequent analysis and processing. Analyze the transmission anomaly monitoring data to identify any abnormal conditions in the transmission, such as packet loss, delay exceeding the limit, etc. Record the detected abnormal conditions in detail and generate transmission anomaly monitoring data for subsequent processing and improvement. Perform a detailed analysis of the abnormal amplitude in the transmission anomaly monitoring data, calculate the degree and impact range of the abnormality, generate transmission anomaly amplitude data, and record the analysis results, including the severity and impact of the abnormality. Select a dynamic encryption algorithm for data encryption based on the transmission anomaly amplitude data. Symmetric encryption, asymmetric encryption or other encryption technologies can be used to protect the security of the data. Encrypt the operation feedback data and generate operation feedback encrypted data. Dynamic encryption takes into account the impact of the abnormal amplitude and adjusts the encryption strength to enhance data protection. After the encryption process is completed, generate operation feedback encrypted data to ensure that the data is securely protected during transmission and storage.

[0118] Preferably, step S33 includes the following steps:

[0119] Step S331: extracting abnormal transmission features from the transmission abnormality monitoring data to obtain abnormal transmission feature data, wherein the abnormal transmission feature data includes packet loss rate, transmission delay, and data damage;

[0120] Step S332: Calculate the standard deviation of the abnormal transmission characteristic data to generate transmission abnormal amplitude data; compare the transmission abnormal amplitude data with a preset transmission abnormal amplitude threshold, and when the transmission abnormal amplitude data is greater than the preset transmission abnormal amplitude threshold, perform abnormal behavior frequency analysis on the transmission abnormal amplitude data to generate abnormal transmission behavior frequency data;

[0121] Step S333: dynamically update the encryption key of the operation feedback data and the data decryption key according to the abnormal transmission behavior frequency data to generate operation feedback encrypted data.

[0122] In an embodiment of the present invention, key features are extracted from the transmission abnormality monitoring data, including packet loss rate, transmission delay and data corruption. These features are important indicators for evaluating the quality of data transmission. The ratio of the number of data packets lost during the transmission process to the total number of data packets sent is calculated. The time delay of the data packet from the sender to the receiver is measured. Whether data corruption or error occurs during the transmission process is evaluated. The extracted results of packet loss rate, transmission delay and data corruption are integrated into a data set. The standard deviation is calculated using the abnormal transmission feature data (including packet loss rate, transmission delay and data corruption). The standard deviation is a statistic that measures the range of data fluctuations and reflects the changes in transmission quality. Transmission abnormal amplitude data is generated based on the calculated standard deviation. The higher the standard deviation value, the greater the amplitude of abnormal transmission. A preset transmission abnormal amplitude threshold is defined to determine whether the transmission quality exceeds the normal range. The generated transmission abnormal amplitude data is compared with the preset threshold. If the transmission abnormal amplitude data is greater than the threshold, it indicates that abnormal behavior exists. The transmission abnormal amplitude data exceeding the threshold is subjected to frequency analysis to calculate the frequency of abnormal transmission behavior. The frequency of abnormal behavior is recorded to generate abnormal transmission behavior frequency data. Based on the frequency data of abnormal transmission behavior, the existing encryption keys are dynamically updated. This is to enhance the security of data transmission and prevent potential attacks. New encryption keys are generated based on the frequency data, which involves replacing, updating or regenerating the keys to ensure the security of data in transmission. The operation feedback data is encrypted using the updated encryption key to generate operation feedback encrypted data. Ensure that the newly generated encryption key is effectively applied to all data to be encrypted to ensure the security of the encryption process.

[0123] Preferably, step S4 comprises the following steps:

[0124] Step S41: using the data dynamic decryption key and the data decryption key to respectively depack the operation feedback encrypted data and the operation feedback data, and generate vaccine circulation transmission depacketization data;

[0125] Step S42: Distributed storage is performed on the vaccine circulation transmission unpacked data to generate vaccine circulation transmission distributed storage data; block chaining is performed on the vaccine circulation transmission distributed storage data through blockchain technology to generate vaccine circulation block chaining data;

[0126] Step S43: Real-time data operation synchronization of the vaccine circulation universal encrypted database is performed through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0127] In the embodiment of the present invention, the operation feedback encrypted data is unpacked by using the data dynamic decryption key to obtain the decrypted data. The operation feedback data is unpacked using the data decryption key to obtain the original data. The unpacked operation feedback data and the decrypted data are combined to generate the vaccine circulation transmission unpacked data. This data set includes all the content unpacked from the feedback data. The vaccine circulation transmission unpacked data is divided into multiple data blocks or fragments for distributed storage. Select a distributed storage platform (such as a distributed file system, a cloud storage service, etc.), store the data fragments in multiple storage nodes in a distributed manner, and generate vaccine circulation transmission distributed storage data, which are data sets formed by these storage data in the distributed system. The vaccine circulation transmission distributed storage data is encapsulated into blocks and prepared for chaining. The encapsulated data blocks are recorded on the blockchain through blockchain technology. The blockchain verifies the integrity and validity of the data, and then adds the data to the chain of the blockchain to generate vaccine circulation block chain data, which includes all vaccine circulation data that have been successfully recorded on the blockchain. According to the vaccine circulation block chain data, the vaccine circulation general encryption database is synchronized in real time. The synchronization operation includes updating records in the database, adding new data, or adjusting existing data. Perform vaccine circulation data mining operations: Use the synchronized data for analysis and mining, such as discovering data trends, generating reports, or performing predictive analysis.

[0128] In this specification, a vaccine circulation data encryption system based on data mining is provided, which is used to execute the above-mentioned vaccine circulation data encryption method based on data mining. The vaccine circulation data encryption system based on data mining includes:

[0129] A database construction module is used to obtain vaccine circulation storage data; perform universal static encryption on vaccine circulation storage data to generate universal static encrypted data for vaccine circulation; perform data warehouse construction based on universal static encrypted data for vaccine circulation to obtain universal encrypted database for vaccine circulation;

[0130] The abnormal access encryption module is used to parse the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extract the instruction address of the access instruction parsing data to obtain the common address data and the access address data; match the common address data and the access address data to generate the matching success result data and the matching failure result data; perform database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypt the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate the vaccine circulation double static encryption data;

[0131] The abnormal transmission encryption module is used to perform database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; transmit the normal operation feedback data and the abnormal operation feedback data for feedback data transmission to generate feedback transmission data packets; perform abnormal transmission dynamic encryption conversion on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys;

[0132] The feedback storage module is used to use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively, and generate vaccine circulation transmission unpacked data; to block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; to perform real-time data operation synchronization on the vaccine circulation general encrypted database through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0133] The beneficial effect of the present invention is that by performing general static encryption on the vaccine circulation storage data, an encrypted data warehouse is constructed, which effectively improves the basic security of the vaccine circulation data, prevents the data from being illegally accessed and tampered with during storage, and provides a security basis for subsequent encryption operations. By parsing and matching the access instructions, it is possible to identify conventional and abnormal access behaviors, re-encrypt the abnormal instructions, ensure the security of database access operations, avoid unauthorized access and potential attacks, and enhance the dynamic protection capability of the database. In the process of operation feedback and abnormal transmission, through dynamic encryption conversion, data transmission is protected in real time, effectively avoiding data being stolen or tampered with during transmission, and improving the security and reliability of transmission. By decrypting feedback data and blockchain on the chain, the real-time operation synchronization of the vaccine circulation database is realized, the integrity and non-tamperability of the data are ensured, and a safe and reliable data basis is provided for subsequent data mining. Therefore, the present invention improves the security of vaccine circulation data encryption and the real-time performance of abnormal processing and operation through multi-layer static encryption, abnormal transmission dynamic encryption and blockchain real-time synchronization.

[0134] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0135] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A vaccine circulation data encryption method based on data mining, characterized in that: The following steps are involved: Step S1: Obtaining vaccine circulation and storage data; Perform universal static encryption on vaccine circulation storage data to generate universal static encrypted vaccine circulation data; The data warehouse is constructed based on the general static encrypted data of vaccine circulation to obtain the general encrypted database of vaccine circulation; Step S2: parsing the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extracting the instruction address of the access instruction parsing data to obtain common address data and access address data; performing address matching on the common address data and the access address data to generate matching success result data and matching failure result data; performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; According to the matching failure result data, the access instruction parsing data is re-encrypted with abnormal associated data to generate double static encrypted data for vaccine circulation; Step S3: performing database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; transmitting the normal operation feedback data and the abnormal operation feedback data as feedback data to generate a feedback transmission data packet; Perform abnormal transmission dynamic encryption conversion on the transmission abnormality monitoring data to generate operation feedback encrypted data and data dynamic decryption keys; Step S4: using the data dynamic decryption key to decompress the operation feedback encrypted data and the operation feedback data respectively, and generating vaccine circulation transmission decompression data; The vaccine circulation transmission unpacked data is uploaded to the blockchain to generate vaccine circulation block-on-chain data; the vaccine circulation general encrypted database is synchronized with real-time data operations through the vaccine circulation block-on-chain data to execute vaccine circulation data mining operations.

2. The vaccine circulation data encryption method based on data mining according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: Obtaining vaccine circulation storage data; Step S12: preprocessing the vaccine circulation storage data to generate standard vaccine circulation storage data, wherein the data preprocessing includes data cleaning, data missing value filling and data standardization; Step S13: Perform universal static encryption on the standard vaccine circulation storage data to generate vaccine circulation universal static encrypted data; Step S14: construct a data warehouse based on the general static encrypted data of vaccine circulation to obtain a general encrypted database for vaccine circulation.

3. The vaccine circulation data encryption method based on data mining according to claim 2 is characterized in that: Universal static encryption of standard vaccine circulation storage data includes: Perform sensitivity classification processing on standard vaccine circulation storage data to generate a vaccine circulation data sensitivity classification table; perform key generation processing on standard vaccine circulation storage data according to the vaccine circulation data sensitivity classification table to generate a vaccine circulation data encryption key; Performing data block processing on the standard vaccine circulation storage data to generate block vaccine data; performing integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; performing symmetrical encryption processing on the standard vaccine circulation storage data using the vaccine circulation data encryption key and the vaccine circulation data integrity verification code to generate encrypted vaccine circulation data; The encrypted vaccine circulation data is processed for metadata generation to generate a vaccine circulation encrypted metadata package; the vaccine circulation encrypted metadata package is processed for digital signature to generate a signed encrypted data package; the signed encrypted data package is processed for secure storage to generate vaccine circulation general static encrypted data.

4. The vaccine circulation data encryption method based on data mining according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: monitoring access instructions of the vaccine circulation general encryption database to generate access instruction monitoring data; parsing the access instruction monitoring data to generate access instruction parsing data; Step S22: performing access identity information identification on the access instruction parsing data to generate instruction access identity information data; performing common address extraction on the instruction access identity information data to obtain common address data; performing access address location on the access instruction parsing data to generate access address data; Step S23: performing address matching on the commonly used address data and the access address data. When the commonly used address data and the access address data match, generating matching success result data, and performing database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data, wherein the database operations include adding data, deleting data, modifying data and viewing data; Step S24: when the common address data and the access address data do not match, matching failure result data is generated, and the IP address distance deviation is calculated for the common address data and the access address data according to the matching failure result data to obtain the IP address distance deviation data; Step S25: associate the access instruction parsing data with the abnormal instruction data through the IP address distance deviation data to generate abnormal instruction associated data; re-encrypt the abnormal instruction associated data to generate vaccine circulation double static encrypted data.

5. The vaccine circulation data encryption method based on data mining according to claim 4 is characterized in that: Step S25 includes the following steps: Step S251: performing abnormal instruction marking processing on the access instruction parsing data through the IP address distance deviation data to generate abnormal instruction data; extracting operation target data from the abnormal instruction data to obtain abnormal instruction operation target data; Step S252: Associating the abnormal instruction operation target data with the vaccine circulation general encryption database to generate abnormal instruction associated data; performing double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data; Step S253: dividing the data into blocks based on the abnormal instruction associated data to generate abnormal instruction associated data blocks; encrypting the abnormal instruction associated data blocks block by block using the double encryption selection algorithm data to generate double encrypted data blocks; Step S254: perform data splicing on the doubly encrypted data blocks to generate doubly encrypted data; perform encryption result verification on the doubly encrypted data to generate vaccine circulation doubly static encrypted data.

6. The vaccine circulation data encryption method based on data mining according to claim 1 is characterized in that: The abnormal instruction screening process of access instruction parsing data through address distance deviation data includes: The access instruction parsing data is screened for suspicious access instructions through the IP address distance deviation data to obtain suspicious access instruction parsing data; the access frequency characteristics of the suspicious access instruction parsing data are analyzed to generate suspicious instruction access frequency data; Classifying the suspicious instruction access frequency data by address properties to generate suspicious access instruction address category data; integrating the suspicious instruction access frequency data and the suspicious access instruction address category data by features to generate suspicious access instruction feature data; The suspicious access instruction feature data is divided into data sets to generate a model training set and a model test set; the model training set is trained by a logistic regression algorithm to generate an abnormal access instruction detection pre-model; the abnormal access instruction detection pre-model is optimized and iterated using the model test set to generate an abnormal access instruction detection model; The suspicious access instruction parsing data is imported into the abnormal access instruction detection model to detect and mark abnormal instructions and generate abnormal instruction data.

7. The vaccine circulation data encryption method based on data mining according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: performing database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; performing feedback data encapsulation on the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet; Step S32: performing feedback data transmission on the feedback data packet according to the access address data to generate a feedback transmission data packet, wherein the feedback transmission data packet includes the operation feedback data and the data decryption key; performing transmission anomaly monitoring on the feedback transmission data packet to generate transmission anomaly monitoring data; Step S33: performing abnormal amplitude analysis on the transmission abnormality monitoring data to generate transmission abnormal amplitude data; performing transmission dynamic encryption conversion on the operation feedback data through the transmission abnormal amplitude data to generate operation feedback encryption data and data dynamic decryption key.

8. The vaccine circulation data encryption method based on data mining according to claim 7 is characterized in that: Step S33 includes the following steps: Step S331: extracting abnormal transmission features from the transmission abnormality monitoring data to obtain abnormal transmission feature data, wherein the abnormal transmission feature data includes packet loss rate, transmission delay, and data damage; Step S332: Calculate the standard deviation of the abnormal transmission characteristic data to generate transmission abnormal amplitude data; compare the transmission abnormal amplitude data with a preset transmission abnormal amplitude threshold, and when the transmission abnormal amplitude data is greater than the preset transmission abnormal amplitude threshold, perform abnormal behavior frequency analysis on the transmission abnormal amplitude data to generate abnormal transmission behavior frequency data; Step S333: dynamically update the encryption key of the operation feedback data and the data decryption key according to the abnormal transmission behavior frequency data, and generate the operation feedback encryption data and the data dynamic decryption key.

9. The vaccine circulation data encryption method based on data mining according to claim 1 is characterized in that: Step S4 includes the following steps: Step S41: using the data dynamic decryption key and the data decryption key to respectively depack the operation feedback encrypted data and the operation feedback data, and generate vaccine circulation transmission depacketization data; Step S42: Distributed storage is performed on the vaccine circulation transmission unpacked data to generate vaccine circulation transmission distributed storage data; block chaining is performed on the vaccine circulation transmission distributed storage data through blockchain technology to generate vaccine circulation block chaining data; Step S43: Real-time data operation synchronization of the vaccine circulation universal encrypted database is performed through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

10. A vaccine circulation data encryption system based on data mining, characterized in that: Used to execute the vaccine circulation data encryption method based on data mining as claimed in claim 1, the vaccine circulation data encryption system based on data mining comprises: A database construction module is used to obtain vaccine circulation storage data; perform universal static encryption on vaccine circulation storage data to generate universal static encrypted data for vaccine circulation; perform data warehouse construction based on universal static encrypted data for vaccine circulation to obtain universal encrypted database for vaccine circulation; The abnormal access encryption module is used to parse the access instruction of the vaccine circulation universal encrypted database to generate access instruction parsing data; extract the instruction address of the access instruction parsing data to obtain the common address data and the access address data; match the common address data and the access address data to generate the matching success result data and the matching failure result data; perform database operations on the vaccine circulation universal encrypted database according to the matching success result data to generate normal operation feedback data; re-encrypt the abnormal associated data of the access instruction parsing data according to the matching failure result data to generate the vaccine circulation double static encryption data; The abnormal transmission encryption module is used to perform database operations on the vaccine circulation universal encryption database based on the vaccine circulation double static encryption data to generate abnormal operation feedback data; transmit the normal operation feedback data and the abnormal operation feedback data for feedback data transmission to generate feedback transmission data packets; perform abnormal transmission dynamic encryption conversion on the transmission abnormality monitoring data to generate operation feedback encryption data and data dynamic decryption keys; The feedback storage module is used to use the data dynamic decryption key to unpack the operation feedback encrypted data and the operation feedback data respectively, and generate vaccine circulation transmission unpacked data; to block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; to perform real-time data operation synchronization on the vaccine circulation general encrypted database through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

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