A vaccine circulation data encryption method and system based on data mining

Abstract

The present invention relates to the field of data encryption technology, and in particular to a vaccine circulation data encryption method and system based on data mining. The method comprises the following steps: obtaining vaccine circulation storage data; performing universal static encryption on the vaccine circulation storage data to generate universal static encrypted data for vaccine circulation; constructing a data warehouse based on the universal static encrypted data for vaccine circulation to obtain a universal encrypted database for vaccine circulation; performing access instruction parsing on the universal encrypted database for vaccine circulation to generate access instruction parsing data; performing instruction address extraction on the access instruction parsing data to obtain commonly used address data and 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. The present invention improves the security of vaccine circulation data encryption and the real-time performance of exception handling and operation through multi-layer static encryption, abnormal transmission dynamic encryption and real-time synchronization of blockchain.

Description

Technical Field

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

[0002] As global demand for vaccines grows, the vaccine supply chain has become increasingly complex, encompassing multiple stages from production and transportation to storage and final vaccination. Each stage generates a vast amount of sensitive data, such as production batches, cold chain temperatures, and inventory management. Tampering or leakage of this data could impact public health and safety. Therefore, data security is crucial in vaccine distribution. Early data encryption methods primarily employed symmetric or asymmetric encryption techniques. While these improved data security, their efficiency and flexibility were limited by the increasingly complex supply chain structure and large volumes of data. With the introduction of data mining technology, data patterns within distribution links can be mined to identify potential risk points, enabling more targeted encryption strategies. Furthermore, blockchain-based encryption methods are gaining popularity, leveraging distributed ledger technology to ensure data immutability and, combined with data mining, enabling precise monitoring of the entire vaccine distribution process. However, conventional technologies currently offer weak encryption protection for abnormal data transmission and operation feedback, making it easy for attackers to exploit vulnerabilities in abnormal operations to tamper with data. Furthermore, they lack real-time synchronization and secure transmission of data operations, compromising the timeliness and security of data mining. 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 objectives, 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 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; 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, a database operation is performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; the normal operation feedback data and the abnormal operation feedback data are fed back to generate a feedback transmission data packet; the transmission abnormality monitoring data is subjected to abnormal transmission dynamic encryption conversion to generate operation feedback encryption data and data dynamic decryption key;

[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 encryption database with real-time data operations 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, effectively preventing unauthorized access and tampering. By constructing a universal encrypted database for vaccine circulation, an encrypted data warehouse is established, which ensures the confidentiality and integrity of data during storage and provides security for subsequent data processing. By parsing access instructions and extracting instruction addresses, accurate matching of commonly used 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 and generate normal operation feedback data, thereby improving the stability and operational efficiency of the system. By performing database operations on the double static encrypted data, the safe handling of abnormal operations is ensured, preventing sensitive data from being leaked or tampered with during operation. The feedback data of normal and abnormal operations are securely transmitted to generate feedback transmission data packets, thereby improving the efficiency and security of data transmission. By dynamically encrypting and converting abnormal data during transmission, the security of the transmission process is ensured, preventing data from being intercepted or tampered with during transmission, and effectively protecting the integrity of operation feedback. The generation of dynamic decryption keys ensures the secure decryption of data during transmission and unpacking, providing 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, effectively avoiding damage or loss during data transmission. The unpacked data is processed on the block chain, enhancing the immutability and traceability of vaccine circulation data, and ensuring the integrity and transparency of the data through blockchain technology. The vaccine circulation database is synchronized in real time through block chain data, ensuring the real-time and consistency of system data, avoiding 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 exception processing and operation through multi-layer static encryption, abnormal transmission dynamic encryption and blockchain real-time synchronization.

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

[0011] Step S11: Acquire vaccine circulation and storage data;

[0012] Step S12: performing circulation data preprocessing on 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 obtaining vaccine circulation storage data. This step ensures that there is sufficient 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 to ensure data consistency and comparability. Data preprocessing can improve the accuracy and consistency of the data, laying 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 the data.

[0016] Preferably, performing universal static encryption on 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] Perform data block processing on the standard vaccine circulation storage data to generate block vaccine data; perform integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; perform 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 digitally signed to generate a signed encrypted data package; the signed encrypted data package is securely stored to generate vaccine circulation general static encrypted data.

[0020] By determining the sensitivity level of the data, the present invention helps select encryption measures, ensuring strict protection of highly sensitive data, thereby improving data security. Appropriate encryption keys are assigned to data of different sensitivity levels, enhancing the pertinence and effectiveness of data protection and improving the security of encryption operations. Through block processing, the flexibility and efficiency of data encryption are improved, making encryption processing more efficient and reducing the risk of leakage of a single data block. The generated integrity check code is used to verify the integrity of the data during storage and transmission, preventing data from being tampered with or damaged, and improving the credibility of the data. Symmetric encryption ensures the confidentiality and security of data during storage. The encrypted data is difficult to access or decrypt by unauthorized personnel, protecting the data from leakage. The generated metadata package helps manage and retrieve encrypted data, improving data traceability and management efficiency. Digital signatures ensure the source and integrity of the data, effectively preventing forgery and tampering, and increasing the security and credibility of the data. Secure storage ensures the persistent protection of encrypted data, preventing unauthorized access or leakage of the data during storage, and maintaining the long-term security of the data. Through the above steps, universal static encryption is performed on the standard vaccine circulation storage data, which can ensure that the data is always protected throughout the storage and transmission process. The combined use of sensitivity classification, key generation, data segmentation, and integrity verification measures improves data security and protection, while also providing safeguards for subsequent data management and auditing.

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

[0022] Step S21: monitoring access instructions to 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 parsed 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 parsed data to generate access address data;

[0024] Step S23: performing address matching on the frequently used address data and the access address data. When the frequently 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 frequently used address data and the access address data do not match, matching failure result data is generated, and IP address distance deviation calculation is performed on the frequently used address data and the access address data based on the matching failure result data to obtain IP address distance deviation data;

[0026] Step S25: associate the access instruction parsing data with 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 encryption data.

[0027] The present invention can track all database access requests by real-time monitoring and parsing access instructions, ensuring that every access to the database is recorded and analyzed, and improving the transparency and security of data access management. Identity information identification and address positioning help 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 behavior. A successful address match 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 the IP address distance deviation, helps to identify potential illegal access behavior or abnormal access patterns. This method helps to improve the system's ability to detect abnormal behavior 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 includes the following steps:

[0029] Step S251: performing abnormal instruction marking processing on the access instruction parsing data using 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 a double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data;

[0031] Step S253: dividing the abnormal instruction-related data into blocks to generate abnormal instruction-related data blocks; encrypting the abnormal instruction-related 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] Through abnormal instruction labeling and target data extraction, the present invention accurately identifies and classifies abnormal access requests, clarifying the specific operational objectives of each abnormal instruction. This provides a clear basis for subsequent exception handling and data protection, enhancing the ability to track and respond to abnormal behavior. Data association organically integrates abnormal instructions with database content, ensuring that abnormal data processing is consistent with the actual database data. Selecting a double encryption algorithm optimizes the encryption process based on data security requirements and risk levels, providing a higher level of protection. Data block processing helps improve encryption efficiency and processing flexibility, while block-by-block encryption ensures that each data block is independently protected. This method enhances the precision and security of data encryption and effectively prevents data leakage and tampering. Data concatenation combines all encrypted data blocks into complete double-encrypted data, ensuring data continuity and integrity. Encryption result verification verifies the accuracy of the encryption operation and data security, ensuring that the generated double-encrypted static 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 concatenation and verification, effective protection for abnormal instructions can be achieved. The entire process provides multi-layered data security measures to ensure that the handling of abnormal instructions does not affect the security and integrity of the overall data. This meticulous encryption processing mechanism effectively prevents data leakage and unauthorized access, and improves the protection level of vaccine circulation data.

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

[0035] The access instruction parsing data is screened for suspicious access instructions using 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 a data set to generate a model training set and a model test set; the model training set is trained using a logistic regression algorithm to generate a pre-model for abnormal access instruction detection; the pre-model for abnormal access instruction detection 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] This invention screens potentially suspicious instructions from a large number of access instructions, laying the foundation for subsequent analysis and processing, helping to reduce the data processing burden and improve detection efficiency. Access frequency feature analysis can identify anomalies in access patterns, helping to distinguish between normal access and potentially malicious access. This provides important feature data for building detection models. Address property classification can further analyze and classify the source addresses of suspicious access instructions, helping to identify attack sources or abnormal behavior patterns. Feature integration ensures that all relevant information is comprehensively considered, improving model training effectiveness. Dividing the dataset into training and test sets is a standard step in model training and helps evaluate model performance and accuracy. The logistic regression algorithm can effectively identify anomalous access instructions, and the model optimization process can improve detection accuracy and robustness. The resulting detection model can more accurately identify and label anomalous instructions. Using the trained model to detect and label suspicious access instructions enables automatic identification and processing of anomalous instructions. 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 combining IP address distance deviation data with the logistic regression algorithm. We have established a complete abnormal access instruction detection process, from screening, feature analysis, classification, model training and optimization, to the detection and labeling of abnormal instructions. This not only improves detection efficiency and accuracy, but also enhances the system's ability to respond to abnormal behavior.

[0040] Preferably, step S3 includes 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; encapsulating the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet;

[0042] Step S32: transmitting feedback data to 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; monitoring transmission anomalies of 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 using the transmission abnormal amplitude data to generate operation feedback encrypted data.

[0044] The present invention uses encrypted data to operate on a database, effectively recording abnormal behavior and providing a basis for security auditing and problem tracking. Normal and abnormal operation feedback data are encapsulated into a unified feedback data packet, improving the integration and manageability of data processing and facilitating subsequent transmission and analysis. Feedback data is transmitted based on access address data to generate a feedback transmission data packet containing the operation feedback data and a data decryption key. Transmission anomalies are monitored for these data packets to generate transmission anomaly monitoring data. This ensures that the operation feedback data and decryption key are securely transmitted to the designated destination, improving data transmission efficiency and security. Monitoring transmission anomalies enables early detection of potential problems, ensuring the reliability and integrity of data transmission. Analyzing the magnitude of transmission anomalies provides detailed information on the severity and impact of anomalies, helping to optimize data transmission strategies. Dynamically encrypting feedback data based on the anomaly magnitude data enhances data security during transmission and prevents leakage or tampering. This step ensures data integrity and security by separating feedback data into normal and abnormal data, encapsulating, transmitting, and monitoring for anomalies. Analyzing the magnitude of transmission anomalies and performing dynamic encryption conversion further enhances data protection during transmission. 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 corruption;

[0047] Step S332: Calculating the standard deviation of the abnormal transmission characteristic data to generate abnormal transmission amplitude data; comparing the abnormal transmission amplitude data with a preset abnormal transmission amplitude threshold; and when the abnormal transmission amplitude data is greater than the preset abnormal transmission amplitude threshold, performing abnormal behavior frequency analysis on the abnormal transmission 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] By acquiring key anomaly characteristics during transmission (such as packet loss rate, transmission delay, and data corruption), the present invention helps to fully understand the anomalies in data transmission, facilitating subsequent analysis and processing. Calculating the standard deviation can quantify the magnitude of transmission anomalies and provide an indicator of the severity of the anomaly. By comparing the anomaly amplitude data with a preset threshold, anomalies outside the normal range can be detected for further analysis. Analyzing the frequency of abnormal behavior can identify the types and frequencies of common transmission problems, helping to develop more effective response strategies. Dynamically updating encryption keys can enhance data security and address the risks of attacks and leaks, ensuring that data can still be effectively protected even when anomalies are discovered. This step accurately identifies and quantifies anomalies in transmission through abnormal transmission feature extraction and amplitude analysis. By comparing with preset thresholds and performing frequency analysis, the characteristics and impact of abnormal behavior can be further understood. Based on these analysis results, encryption keys are dynamically updated to improve the security of data transmission. This process helps to quickly respond and adjust when problems are discovered, strengthening data protection measures.

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

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

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

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

[0054] The present invention uses a dynamic data decryption key and a data decryption key to unpack encrypted data, restoring it to readable vaccine circulation data. This ensures the integrity and availability of data during transmission and storage. Storing data on multiple nodes improves data reliability and availability, preventing single points of failure from affecting data integrity. Using blockchain technology to write data to the blockchain ensures data immutability and transparency, improving data security and traceability. This ensures that the data in the vaccine circulation universal encrypted database is consistent with the data on the blockchain, improving data timeliness and accuracy. By synchronizing data, the latest data support is provided for subsequent data mining operations, facilitating in-depth analysis and obtaining valuable information. This step achieves comprehensive protection and management of vaccine circulation data through data unpacking, distributed storage, blockchain uploading, and real-time data synchronization. The data unpacking step ensures the availability of encrypted data; the distributed storage and blockchain uploading steps enhance data security and reliability; and the real-time monitoring step ensures 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 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;

[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; perform address matching on the common address data and the access address data to generate matching success result data and 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 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 as feedback data 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; block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; and synchronize real-time data operations on the vaccine circulation general encrypted database through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0060] The beneficial effects of the present invention are that by performing universal static encryption on vaccine circulation storage data, an encrypted data warehouse is constructed, which effectively improves the basic security of vaccine circulation data, prevents data from being illegally accessed and tampered with during storage, and provides a security basis for subsequent encryption operations. By parsing access instructions and matching addresses, it is possible to identify regular and abnormal access behaviors, re-encrypt abnormal instructions, ensure the security of database access operations, avoid unauthorized access and potential attacks, and enhance the dynamic protection capabilities of the database. During operation feedback and abnormal transmission, data transmission is protected in real time through dynamic encryption conversion, effectively preventing data from being stolen or tampered with during transmission, and improving the security and reliability of transmission. By decrypting feedback data and blockchain on the chain, real-time operation synchronization of the vaccine circulation database is achieved, ensuring the integrity and non-tamperability of the data, and providing a safe and reliable data foundation 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 flowchart 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 FIG.

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

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

[0065] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. It is obvious that the embodiments described are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts are within the scope of protection of the present invention.

[0066] In addition, the accompanying drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor and / or microcontroller approaches.

[0067] It should be understood that although the terms "first," "second," and the like may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used solely to distinguish one element from another. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element, without departing from the scope of the exemplary embodiments. The term "and / or" as 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 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; 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, a database operation is performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; the normal operation feedback data and the abnormal operation feedback data are fed back to generate a feedback transmission data packet; the transmission abnormality monitoring data is subjected to abnormal transmission dynamic encryption conversion to generate operation feedback encryption data and data dynamic decryption key;

[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 encryption database with real-time data operations 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, effectively preventing unauthorized access and tampering. By constructing a universal encrypted database for vaccine circulation, an encrypted data warehouse is established, which ensures the confidentiality and integrity of data during storage and provides security for subsequent data processing. By parsing access instructions and extracting instruction addresses, accurate matching of commonly used 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 and generate normal operation feedback data, thereby improving the stability and operational efficiency of the system. By performing database operations on the double static encrypted data, the safe handling of abnormal operations is ensured, preventing sensitive data from being leaked or tampered with during operation. The feedback data of normal and abnormal operations are securely transmitted to generate feedback transmission data packets, thereby improving the efficiency and security of data transmission. By dynamically encrypting and converting abnormal data during transmission, the security of the transmission process is ensured, preventing data from being intercepted or tampered with during transmission, and effectively protecting the integrity of operation feedback. The generation of dynamic decryption keys ensures the secure decryption of data during transmission and unpacking, providing 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, effectively avoiding damage or loss during data transmission. The unpacked data is processed on the block chain, enhancing the immutability and traceability of vaccine circulation data, and ensuring the integrity and transparency of the data through blockchain technology. The vaccine circulation database is synchronized in real time through block chain data, ensuring the real-time and consistency of system data, avoiding 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 exception 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 flow chart 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 embodiments of the present invention, vaccine circulation and 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 vaccine transportation, and vaccine storage data at warehouses or distribution centers, such as temperature and inventory changes. The data exists in structured data formats such as CSV, JSON, XML, or database table formats, and includes information such as the vaccine's batch number, production date, expiration date, storage temperature, and circulation process records. Data from these different sources is aggregated using an interface or dedicated data collection tool. It is necessary to ensure that the collected data is complete, accurate, and updated in real time. Data is classified according to its sensitivity, for example, batch number, production date, etc. are classified as low-sensitivity data, while storage temperature, circulation path, etc. are classified as high-sensitivity data. Based on the classification results, a sensitivity classification table is generated for subsequent encryption operations. Based on the vaccine circulation data sensitivity classification table, corresponding encryption keys are generated. The keys are generated using a symmetric encryption algorithm (such as AES), and the key length and complexity are dynamically adjusted according to the data sensitivity to generate a corresponding encryption key for each type of data. Vaccine circulation storage data is divided into data blocks, ensuring that each data block is processed independently during the encryption process. An integrity check code (such as a hash value) is generated for each data block for subsequent data integrity verification. A corresponding integrity check code is generated for each data block. The data blocks are symmetrically encrypted using the vaccine circulation data encryption key and the integrity check code. The encrypted data has strong security and can prevent data tampering during transmission and storage. A metadata package is generated for the encrypted vaccine circulation data, containing information such as encryption time, encryption algorithm, and key usage. The metadata package is digitally signed to ensure the authenticity and non-repudiation of the data source. Combined with the digitally signed data package, data security is further improved. The encrypted data package is stored in a secure database or storage system, and secure access rights to the data are ensured. The final stored result is highly secure vaccine circulation data that has been encrypted and properly stored. A data warehouse model is designed based on the vaccine circulation business needs. The model includes multiple dimensions, such as time (transportation time, storage time), geographic dimension (transportation route, storage location), and product dimension (vaccine type, batch number). Determine the data architecture (such as a star or snowflake architecture) for efficient storage and querying. 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 querying. Compress the data stored in the data warehouse to reduce storage space; and optimize data indexes and query paths based on query requirements. Set access control policies for the vaccine circulation data in the data warehouse to ensure that only authorized users can access and operate it.After the data warehouse was finally built, a highly secure and efficient universal encrypted database for vaccine circulation 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 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; 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, access instructions sent through the universal encrypted database for vaccine circulation may include read, write, and modify operation requests. A database access parsing tool is used to parse the received access instructions. The parsing tool should be able to identify the instruction structure, operation type, and the data object targeted. After parsing, the instruction is converted into structured data, referred to as access instruction parsed data, including the instruction type, operation target data, access path, timestamp, etc. Based on the content of the instruction, different operation steps are decomposed, such as the target database table, data field, etc. During the instruction parsing process, detailed access information is recorded and a parsing log is generated for subsequent tracking. The source address of the access instruction is extracted from the access instruction parsed data, typically including the client's IP address, the accessed network path, etc. The extracted access path and network source information form access address data. By querying the historical access records in the database, commonly used addresses defined in the system (such as frequently accessed IP addresses or specific network nodes) are extracted. Addresses in the historical access records that meet predefined conditions are extracted to form commonly used address data. Based on preset matching rules, such as IP address similarity and access frequency, the commonly used address data and 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 successful match result data is generated. If the access address fails to match the commonly used address, the failed match 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 was successfully executed and the data operation was 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 correlation analysis is performed to generate abnormal correlation data. For the extracted abnormal correlation data, a suitable encryption algorithm is selected for re-encryption processing. The abnormal correlation data is encrypted twice to ensure the security of the data in storage and transmission, and generate double static encrypted 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, a database operation is performed on the vaccine circulation universal encryption database to generate abnormal operation feedback data; the normal operation feedback data and the abnormal operation feedback data are fed back to generate a feedback transmission data packet; the transmission abnormality monitoring data is subjected to abnormal transmission dynamic encryption conversion to generate operation feedback encryption data and data dynamic decryption key;

[0080] In an embodiment of the present invention, doubly statically encrypted data is extracted from a database using the access rights of the vaccine distribution system. This data is decrypted using the associated decryption key to restore the original data related to vaccine distribution. Based on the access instructions, corresponding database operations are performed, including reading, modifying, adding, or deleting data. The requested encrypted data is decrypted and then read. Based on the access rights, corresponding operations are performed on the data in the database. During database operations, the system monitors the legitimacy and validity of each operation in real time. If an anomaly is detected during an operation (such as an unauthorized operation or illegal data modification), the system generates abnormal operation feedback data. The abnormal operation feedback data includes information such as the operation instruction, time, cause of the anomaly, user of the abnormal operation, and access path. The normal operation feedback data and the abnormal operation feedback data are integrated to form a complete feedback data packet, which contains information on the integrity of the operation and whether an anomaly occurred. The format of the feedback data packet should include: operation type, operation status (normal or abnormal), operation time, access user and path, and data encryption status. The feedback data packet is dynamically encrypted to generate a feedback transmission data packet containing the encrypted operation feedback data. To ensure that the recipient can decrypt the data packet, the system also generates a dynamic data decryption key corresponding to the feedback transmission data packet. During the transmission of feedback packets, the system monitors network transmission conditions in real time, including packet loss, latency, and transmission integrity. The transmission monitoring module captures potential transmission anomalies and generates transmission anomaly monitoring data, recording the type, frequency, and impact of the anomaly. Based on this anomaly monitoring data, dynamic encryption adjustments are made to feedback packets to ensure secure data transmission even under abnormal transmission conditions. Feedback packets in abnormal transmission environments undergo additional encryption processing to generate encrypted operational feedback data, enhancing data security. Simultaneously with transmission encryption, the system automatically generates a dynamic data decryption key for the receiver to decrypt the feedback packets.

[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 encryption database with real-time data operations 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 encrypted operation feedback data are received from a data transmission channel. The system automatically obtains a dynamic data decryption key for decrypting the feedback data. This key 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 encrypted operation feedback data, respectively, to restore the original feedback data and generate vaccine circulation transmission unpacked data. The system performs an 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 divided into blocks and stored in multiple distributed storage nodes. This process ensures high data availability and fault tolerance and can quickly respond to access requests. The system uses blockchain technology to generate corresponding blocks for the data on each distributed storage node and encrypts the data in the blocks to ensure that the data cannot be tampered with. Through a consensus mechanism, the distributed stored data blocks are synchronized and uploaded to the chain, generating vaccine circulation block on-chain data. Each block contains metadata such as the data hash value, timestamp, and data signature to ensure data security and traceability. During the data upload process, multiple nodes of the blockchain network verify through a consensus algorithm to ensure that the data stored on the blockchain is verified and consistent. By analyzing the data uploaded to the vaccine circulation block chain, relevant operation instructions are extracted and compared with the current status of the general encrypted database for vaccine circulation, and the database content is updated in real time. This ensures consistency between the uploaded data and the data in the database to prevent inaccurate operations due to data delays or loss. Based on the synchronized database, data mining operations are performed on the 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. The data mining results, as a new data source, can be further fed back into the vaccine circulation management system to provide a basis for optimizing the circulation process.

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

[0084] Step S11: Acquire vaccine circulation and storage data;

[0085] Step S12: performing circulation data preprocessing on 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 the 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 methods such as mean interpolation, forward filling, and backward filling to fill missing values, or select a specific filling strategy based on 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. Save the cleaned, filled, and standardized data as standard vaccine circulation storage data for subsequent processing. Select an appropriate data encryption algorithm, such as AES (Advanced Encryption Standard) or RSA (asymmetric encryption algorithm), and determine the algorithm based on the data security requirements and processing capabilities. Use the selected encryption algorithm to encrypt standard vaccine circulation storage data to generate general static encrypted data for vaccine circulation. Ensure that the keys used in the encryption process are securely stored and that key management follows best practices. Save the encrypted data in 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 and optimizing query statements, to improve data access efficiency. Configure the database security settings to ensure data access control and data encryption. Test the functions of the data warehouse, such as query and report generation, to ensure system stability and performance. Complete the construction of the data warehouse, provide a secure and reliable data storage environment, and support data analysis and business decision-making.

[0089] Preferably, performing universal static encryption on 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] Perform data block processing on the standard vaccine circulation storage data to generate block vaccine data; perform integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; perform 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 digitally signed to generate a signed encrypted data package; the signed encrypted data package is securely stored 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, business 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. Select a suitable encryption algorithm according to the sensitivity classification table, such as AES (Advanced Encryption Standard) or RSA (asymmetric encryption algorithm). Generate a vaccine circulation data encryption key using the selected algorithm. 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 encryption key management system (KMS) can be used. Define a block strategy, such as block segmentation 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 checksum for the standard vaccine circulation storage data and generate the vaccine circulation data integrity checksum. Store the checksum together with the data block information to ensure the integrity of the data. Use the vaccine circulation data encryption key to symmetrically encrypt the block vaccine data to generate encrypted vaccine circulation data. Each data block is encrypted with 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, checksum, 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 manipulate stored data packets. Perform data backup to ensure data can be recovered 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 to 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 parsed 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 parsed data to generate access address data;

[0097] Step S23: performing address matching on the frequently used address data and the access address data. When the frequently 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 frequently used address data and the access address data do not match, matching failure result data is generated, and IP address distance deviation calculation is performed on the frequently used address data and the access address data based on the matching failure result data to obtain IP address distance deviation data;

[0099] Step S25: associate the access instruction parsing data with 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 encryption data.

[0100] In an embodiment of the present invention, by selecting a specific access monitoring tool or system (such as a firewall, intrusion detection system, etc.), monitoring rules are configured, including recording all access instructions and operation requests. All access instructions to the vaccine circulation general encrypted 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 to extract detailed information about the access instruction (such as request content, target resource, etc.), obtain access instruction parsing data, and record various detailed information about the instruction. Authentication is performed using the identity information in the access instruction (such as user name, ID, IP address, etc.) to generate instruction access identity information data, including user identity, access rights, and other information. The user's frequently used access address or geographic location is extracted from the instruction access identity information data to obtain frequently 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 visited. The frequently 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. Based on the successful matching 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 using 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 a double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data;

[0104] Step S253: dividing the abnormal instruction-related data into blocks to generate abnormal instruction-related data blocks; encrypting the abnormal instruction-related 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, access instruction parsing data is annotated for exceptions using IP address distance deviation data. Annotation rules are set to identify and annotate abnormal instructions (such as abnormal access addresses, abnormal access frequencies, etc.), generate abnormal instruction data, and record all abnormally annotated instruction information. Data related to the operation target (such as target resources, operation types, etc.) is extracted from the abnormal instruction data to obtain abnormal instruction operation target data, and the specific operation targets involved in the abnormal instruction are recorded. The abnormal instruction operation target data is data-associated with the vaccine circulation general encryption database to generate abnormal instruction association data, and the association information between the abnormal instruction and the database is recorded. Available double encryption algorithms (such as a combination of AES encryption and RSA encryption) are evaluated. A specific double encryption algorithm is selected based on data security requirements and performance requirements, and double encryption selection algorithm data is generated to record the selected encryption algorithm and parameter settings. The abnormal instruction association data is divided into blocks to generate multiple abnormal instruction association data blocks. The block size is determined based on the data volume and encryption requirements, and each abnormal instruction association data block is encrypted using the double encryption selection algorithm data to generate a double encrypted data block, and the encrypted data block information is recorded. All double encrypted data blocks are spliced ​​to generate complete double encrypted data. Use tools or programs to combine encrypted data blocks into a continuous data stream. Perform integrity and validity checks on the double-encrypted data to ensure data integrity during the encryption process. Generate double-encrypted static data for vaccine circulation and record the final encrypted data and its verification results.

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

[0108] The access instruction parsing data is screened for suspicious access instructions using 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 a data set to generate a model training set and a model test set; the model training set is trained using a logistic regression algorithm to generate a pre-model for abnormal access instruction detection; the pre-model for abnormal access instruction detection 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, IP address distance deviation data is collected from access logs. This data indicates the geographical distance difference between the request source IP and common IP addresses. Thresholds or rules are set to filter out IP addresses that deviate significantly from normal patterns. For example, IP addresses whose distance exceeds a certain threshold are marked as suspicious. Suspicious access instructions are filtered out, and suspicious access instruction parsing data is generated, 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, 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 decision tree, random forest) is applied to classify the suspicious instruction access frequency data. IP addresses are classified into categories 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 access frequency and address category information to generate suspicious access instruction signature data. This can be achieved by joining data tables or creating feature vectors. This combined dataset will be used for model training to form a comprehensive suspicious instruction signature set. The suspicious access instruction signature data is proportionally divided into a model training set (typically 70%-80%) and a model test set (20%-30%). Ensure that both the training and test sets are representative to cover a variety of abnormal scenarios. The model training set is trained using a logistic regression algorithm. Logistic regression can handle binary classification problems and is suitable for anomaly detection. The training process includes feature selection, model fitting, and parameter optimization, ultimately generating a pre-model for abnormal access instruction detection. The pre-model for abnormal access instruction detection is tested using the model test set to evaluate metrics such as accuracy, recall, and F1 score. Based on the test results, model parameters are adjusted to optimize model performance and generate the final abnormal access instruction detection model. The parsed suspicious access instruction data is input into the abnormal access instruction detection model. The model detects abnormal instructions based on the learning during the training process, identifies abnormal access instructions and labels them, 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; encapsulating the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet;

[0115] Step S32: transmitting feedback data to 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; monitoring transmission anomalies of 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 using the transmission abnormal amplitude data to generate operation feedback encrypted data.

[0117] In an embodiment of the present invention, the vaccine circulation general encrypted database is operated by using vaccine circulation double static encryption data. This involves verifying the normal operations 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 organizing 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. Based on 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. Implement real-time monitoring during the transmission process 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 anomalies in transmission, such as packet loss and excessive latency. Record detected anomalies in detail and generate transmission anomaly monitoring data for subsequent processing and improvement. Conduct a detailed analysis of the anomaly magnitude in the transmission anomaly monitoring data, calculate the degree of the anomaly and the scope of impact, generate transmission anomaly magnitude data, and record the analysis results, including the severity and impact of the anomaly. Select a dynamic encryption algorithm for data encryption based on the transmission anomaly magnitude data. Symmetric encryption, asymmetric encryption, or other encryption technologies can be used to protect data security. Encrypt the operation feedback data to generate operation feedback encrypted data. Dynamic encryption takes the impact of the anomaly magnitude into account 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 corruption;

[0120] Step S332: Calculating the standard deviation of the abnormal transmission characteristic data to generate abnormal transmission amplitude data; comparing the abnormal transmission amplitude data with a preset abnormal transmission amplitude threshold; and when the abnormal transmission amplitude data is greater than the preset abnormal transmission amplitude threshold, performing abnormal behavior frequency analysis on the abnormal transmission 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 this embodiment of the present invention, key features, including packet loss rate, transmission delay, and data corruption, are extracted from transmission anomaly monitoring data. These features are important indicators for evaluating data transmission quality. The ratio of the number of data packets lost during transmission to the total number of data packets sent is calculated. The time delay between the sender and receiver is measured. This assesses whether data corruption or errors occurred during transmission. The extracted packet loss rate, transmission delay, and data corruption results are integrated into a single 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 fluctuation and reflects changes in transmission quality. Transmission anomaly amplitude data is generated based on the calculated standard deviation. A higher standard deviation indicates a greater amplitude of abnormal transmission. A preset transmission anomaly amplitude threshold is defined to determine whether transmission quality exceeds the normal range. The generated transmission anomaly amplitude data is compared with the preset threshold. If the transmission anomaly amplitude data exceeds the threshold, abnormal behavior is present. Frequency analysis is performed on the transmission anomaly amplitude data that exceeds the threshold 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, existing encryption keys are dynamically updated to enhance data transmission security and prevent potential attacks. New encryption keys are generated based on the frequency data, which involves replacing, updating, or regenerating keys to ensure data security during transmission. Operation feedback data is encrypted using the updated encryption key to generate encrypted operation feedback data. This ensures that the newly generated encryption key is effectively applied to all data to be encrypted, ensuring the security of the encryption process.

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

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

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

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

[0127] In an embodiment of the present invention, the operation feedback encrypted data is unpacked using a data dynamic decryption key to obtain 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 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. A distributed storage platform (such as a distributed file system, cloud storage service, etc.) is selected to store the data fragments on multiple storage nodes to generate vaccine circulation transmission distributed storage data, which is a data set formed by these stored data in the distributed system. The vaccine circulation transmission distributed storage data is encapsulated into blocks and prepared to be uploaded to the chain. The encapsulated data blocks are recorded on the blockchain using blockchain technology. The blockchain verifies the integrity and validity of the data, and then adds the data to the blockchain chain to generate vaccine circulation block chain data, which includes all vaccine circulation data that has been successfully recorded on the blockchain. Based on the vaccine circulation block chain data, the vaccine circulation general encrypted 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: 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 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;

[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; perform address matching on the common address data and the access address data to generate matching success result data and 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 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 as feedback data 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; block the vaccine circulation transmission unpacked data to generate vaccine circulation block chain data; and synchronize real-time data operations on the vaccine circulation general encrypted database through the vaccine circulation block chain data to execute vaccine circulation data mining operations.

[0133] The beneficial effects of the present invention are that by performing universal static encryption on vaccine circulation storage data, an encrypted data warehouse is constructed, which effectively improves the basic security of vaccine circulation data, prevents data from being illegally accessed and tampered with during storage, and provides a security basis for subsequent encryption operations. By parsing access instructions and matching addresses, it is possible to identify regular and abnormal access behaviors, re-encrypt abnormal instructions, ensure the security of database access operations, avoid unauthorized access and potential attacks, and enhance the dynamic protection capabilities of the database. During operation feedback and abnormal transmission, data transmission is protected in real time through dynamic encryption conversion, effectively preventing data from being stolen or tampered with during transmission, and improving the security and reliability of transmission. By decrypting feedback data and blockchain on the chain, real-time operation synchronization of the vaccine circulation database is achieved, ensuring the integrity and non-tamperability of the data, and providing a safe and reliable data foundation 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] The present invention is therefore intended to be illustrative and non-restrictive in all respects, with the scope of the invention being defined by the appended claims rather than the foregoing description, and all changes that come within the meaning and range of equivalents of the application documents are intended to be embraced therein.

[0135] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily 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 is not intended to be limited to the embodiments shown herein, but is to be construed in the widest possible manner consistent with the principles and novel features disclosed herein.

Claims

1. A vaccine circulation data encryption method based on data mining, characterized in that: The following steps are involved: Step S1: Obtain vaccine circulation and storage data; Perform universal static encryption on vaccine circulation storage data to generate universal static encrypted data for vaccine circulation; A data warehouse is constructed based on the general static encrypted data of vaccine circulation to obtain a general encrypted database of vaccine circulation; Step S2: parsing access instructions of the vaccine circulation universal encrypted database to generate access instruction parsing data; extracting instruction addresses from the access instruction parsing data to obtain access address data; extracting commonly used addresses defined in the system by querying historical access records in the database to obtain commonly used 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 based on 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; performing abnormal transmission dynamic encryption conversion on the feedback transmission data packet to generate operation feedback encryption data and a data dynamic decryption key; Step S4: using the data dynamic decryption key to decompress the operation feedback encrypted data to generate vaccine circulation transmission decompression data; The vaccine circulation transmission unpacked data is uploaded to the blockchain to generate vaccine circulation block chain data; the vaccine circulation general encrypted database is synchronized with real-time data operations through the vaccine circulation block 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: Acquire vaccine circulation and storage data; Step S12: performing circulation data preprocessing on 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; Perform data block processing on the standard vaccine circulation storage data to generate block vaccine data; perform integrity verification processing on the standard vaccine circulation storage data to generate a vaccine circulation data integrity verification code; perform 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 digitally signed to generate a signed encrypted data package; the signed encrypted data package is securely stored 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 to 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 parsed data to generate instruction access identity information data; extracting frequently used addresses defined in the system by querying historical access records in the database to obtain frequently used address data; locating the access address on the access instruction parsed data to generate access address data; Step S23: performing address matching on the frequently used address data and the access address data. When the frequently 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 frequently used address data and the access address data do not match, matching failure result data is generated, and IP address distance deviation calculation is performed on the frequently used address data and the access address data based on the matching failure result data to obtain IP address distance deviation data; Step S25: associate the access instruction parsing data with 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 encryption 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 using 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 a double encryption algorithm selection on the abnormal instruction associated data to generate double encryption selection algorithm data; Step S253: dividing the abnormal instruction-related data into blocks to generate abnormal instruction-related data blocks; encrypting the abnormal instruction-related 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: Using address distance deviation data to analyze access instruction data for abnormal instruction screening includes: The access instruction parsing data is screened for suspicious access instructions using 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 a data set to generate a model training set and a model test set; the model training set is trained using a logistic regression algorithm to generate a pre-model for abnormal access instruction detection; the pre-model for abnormal access instruction detection 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; encapsulating the normal operation feedback data and the abnormal operation feedback data to generate a feedback data packet; Step S32: transmitting feedback data to 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; monitoring transmission anomalies of 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 corruption; Step S332: Calculating the standard deviation of the abnormal transmission characteristic data to generate abnormal transmission amplitude data; comparing the abnormal transmission amplitude data with a preset abnormal transmission amplitude threshold; and when the abnormal transmission amplitude data is greater than the preset abnormal transmission amplitude threshold, performing abnormal behavior frequency analysis on the abnormal transmission 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 to 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 to decompress the operation feedback encrypted data to generate vaccine circulation transmission decompression data; Step S42: Distributed storage is performed on the vaccine circulation transmission unpacked data to generate vaccine circulation transmission distributed storage data; the vaccine circulation transmission distributed storage data is block chained using blockchain technology to generate vaccine circulation block chain data; Step S43: Real-time data operation synchronization is performed on the vaccine circulation universal encrypted database through the vaccine circulation block chain data to perform vaccine circulation data mining operations.

10. A vaccine circulation data encryption system based on data mining, characterized in that: For executing 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 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; The abnormal access encryption module is used to parse the access instructions of the vaccine circulation universal encryption database to generate access instruction parsing data; extract the instruction address of the access instruction parsing data to obtain access address data; extract the commonly used addresses defined in the system by querying the historical access records in the database to obtain the commonly used address data; perform address matching on the commonly used address data and the access address data to generate matching success result data and matching failure result data; perform database operations on the vaccine circulation universal encryption database based on the matching success result data to generate normal operation feedback data; re-encrypt the abnormal associated data of the access instruction parsing data based on the matching failure result data to generate 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 as feedback data to generate a feedback transmission data packet; perform abnormal transmission dynamic encryption conversion on the feedback transmission data packet to generate operation feedback encryption data and data dynamic decryption key; The feedback storage module is used to use the data dynamic decryption key to unpack the operation feedback encrypted data to 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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