Data migration verification method and platform for credential and credential platform

Abstract

The invention discloses a credential platform data migration verification method and platform, and belongs to the field of information technology application innovation and data security, and the platform integrates a multi-dimensional feature comparison module, a zero-trust security verification module, an intelligent acceleration verification module, a heterogeneous compatibility verification module and a block chain traceability module. By extracting and comparing multi-dimensional features such as the structure, the type and the incidence relation of the data, the difference is accurately recognized in combination with a graph neural network; the safety of the whole migration process is ensured under a zero-trust architecture; the verification efficiency is improved by utilizing an intelligent cache and parallel processing technology; the heterogeneous platform migration problem is solved through a compatibility rule base and a data adaptation module; and the non-tampering and whole-course traceability of the verification process are realized by means of the block chain technology. According to the method, the integrity, the consistency, the safety and the high efficiency of data migration of the credential and credential platform are comprehensively ensured.

Description

Technical Field

[0001] This invention belongs to the field of information technology application innovation and data security technology, specifically relating to a data migration verification method and platform for a domestic information technology innovation platform. Background Technology

[0002] With the comprehensive advancement of the domestic IT innovation industry, government agencies, enterprises, and institutions at all levels are migrating their business systems from traditional IT architectures to domestic IT innovation platforms. Data migration is the core of this process, and its success or failure directly affects business continuity and data value. However, data migration in the domestic IT innovation environment faces unique challenges: single verification dimensions, complex security threats, low migration efficiency, poor compatibility with heterogeneous platforms, and a lack of credibility in the process. Traditional verification often focuses on simple file verification or content comparison, making it difficult to discover deep differences in data structure and relationships, and failing to guarantee the logical consistency of complex data (such as databases and unstructured documents) after migration. The migration process involves the flow of data between different environments, facing security risks such as data leakage and illegal tampering. Traditional boundary security models are insufficient in the multi-morphic environment of domestic IT innovation. When migrating massive amounts of data, full serial verification takes a very long time, seriously affecting the migration window and business launch time. The diversity of CPU architecture, operating system, and database in the domestic IT innovation ecosystem leads to incompatibility in data formats and interface protocols, making the migration process prone to errors and requiring heavy adaptation work. The migration verification process is opaque, making it difficult to quickly pinpoint the responsible party when problems arise, and the verification results lack a basis for mutual recognition across different platforms.

[0003] Therefore, there is an urgent need for a comprehensive data migration and verification solution that can systematically solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to provide a data migration verification method and platform for domestic IT innovation platforms, aiming to achieve accurate verification, secure and controllable operation, efficient execution, seamless compatibility and reliable traceability of data migration in complex domestic IT innovation environments.

[0005] This invention can ensure that the data migration process has high integrity, high security, high efficiency, high compatibility and auditability in complex and heterogeneous information technology innovation environments.

[0006] The technical solution adopted by this invention to solve the technical problem is as follows:

[0007] This invention provides a data migration and verification platform for a domestic IT innovation platform, which specifically includes the following modules:

[0008] The multi-dimensional feature comparison module is used to extract multi-dimensional features of source data and target data during the data migration process, and to perform difference analysis using a preset comparison model.

[0009] The zero-trust security verification module, connected to the multi-dimensional feature comparison module, is used to implement an identity-centric security strategy throughout the entire lifecycle of data migration.

[0010] The intelligent acceleration verification module is used to pre-store high-frequency and critical data through an intelligent caching mechanism, and to perform concurrent verification of data blocks using parallel computing technology and incremental verification strategy, so as to improve the overall verification efficiency.

[0011] The heterogeneous compatibility verification module is used to detect the software and hardware environment of the source platform and the target platform before data migration, provide risk warnings based on the compatibility rule base, and automatically complete the conversion and adaptation of data format and interface through the data adaptation module.

[0012] The blockchain traceability module, in collaboration with the multi-dimensional feature comparison module, the zero-trust security verification module, the intelligent acceleration verification module, and the heterogeneous compatibility verification module, is used to store key operation records, verification results, and status change information during the data migration verification process on the blockchain. It utilizes smart contracts to ensure the standardized execution of the verification process and provides audit traceability functions.

[0013] According to the present invention, the multi-dimensional features include data structure, data type, data association, and data distribution characteristics.

[0014] According to the present invention, the comparison model is a graph neural network, which is used to model and compare data relationships.

[0015] According to the present invention, the multi-dimensional feature comparison module is designed with dedicated feature extraction and verification algorithms for structured, unstructured and semi-structured data respectively.

[0016] According to the present invention, the security strategy includes multi-factor authentication of migration participants, continuous monitoring and analysis of data flow and access behavior, and encrypted transmission and storage of migration data.

[0017] According to the present invention, the zero-trust security verification module adopts a behavior analysis algorithm, which can detect and alert abnormal data access or migration operations in real time based on the baseline behavior of users and devices.

[0018] According to the present invention, the intelligent caching mechanism is dynamically adjusted based on the analysis results of data access frequency and business importance.

[0019] According to the present invention, the heterogeneous compatibility verification module supports heterogeneous environments, including hardware architectures based on Loongson, Phytium, and Kunpeng, and operating systems based on Kylin OS and UnionTech UOS.

[0020] According to the present invention, the blockchain traceability module records the hash value of the verification result for mutual recognition of verification results between different information technology innovation platforms.

[0021] This invention provides a data migration verification method for a domestic IT innovation platform, which specifically includes the following methods:

[0022] (1) Multi-dimensional feature comparison;

[0023] Before and after data migration, multi-dimensional features are extracted from the source data and target data respectively, and a graph neural network model is used for deep comparison to generate a difference report.

[0024] (2) Zero-trust security management;

[0025] Before the migration begins, strong authentication is performed on the operating entities and devices; during the migration process, the data flow is encrypted and monitored throughout, and behavior logs are analyzed in real time to identify potential threats.

[0026] (3) Intelligent accelerated verification;

[0027] Implement intelligent caching based on data profiles; divide the data to be verified into blocks and schedule computing resources for parallel verification; for incremental migration, only perform verification on the changed data portion;

[0028] (4) Heterogeneous compatibility handling;

[0029] Assess the environmental differences between the source and target platforms, issue early warnings about compatibility risks based on the rule base, and call the data adaptation engine to automatically complete the necessary data conversion and interface adaptation;

[0030] (5) Blockchain-based evidence storage and traceability;

[0031] Key events and results throughout the verification lifecycle are continuously recorded on the blockchain. Verification strategies are executed automatically through smart contracts, and a convenient historical traceability query interface is provided.

[0032] The beneficial effects of this invention are:

[0033] This invention, through multi-dimensional feature comparison, especially insight into data relationships, can discover logical errors that traditional methods cannot identify, effectively ensuring the integrity and consistency of migrated data, reducing error rates, and significantly improving verification depth and accuracy.

[0034] This invention introduces a zero-trust architecture to build inherent security capabilities, ensuring that data migration is carried out in a secure environment with trusted identities, encrypted transmission, and controlled behavior, greatly reducing the risk of data leakage and tampering.

[0035] This invention applies intelligent acceleration technology, which significantly reduces the verification time for massive amounts of data, with actual measurements showing a reduction of more than 60%, greatly optimizing migration efficiency and effectively ensuring the pace of business migration.

[0036] This invention enables automated compatibility testing and data adaptation, reduces the technical complexity and manual intervention costs of migration, improves the success rate of cross-platform migration, and solves the problem of migration in heterogeneous environments.

[0037] This invention establishes a migration trust system, which, combined with the empowerment of blockchain technology, makes the entire verification process transparent, auditable, and traceable. The verification results have cross-platform mutual recognition credibility, providing a solid quality endorsement for data migration projects.

[0038] This invention comprehensively ensures the integrity, consistency, security, and efficiency of data migration on the domestic IT innovation platform. Attached Figure Description

[0039] Figure 1 This invention provides a block diagram of the module composition of a data migration and verification platform for an information technology innovation platform.

[0040] Figure 2 The flowchart of a data migration verification method for a domestic IT innovation platform provided by the present invention is shown. Detailed Implementation

[0041] The present invention will be further described in detail below with reference to the accompanying drawings.

[0042] Firstly, the present invention provides a data migration and verification platform for information technology innovation platforms.

[0043] This invention provides a data migration verification platform for domestic IT innovation platforms, integrating a multi-dimensional feature comparison module, a zero-trust security verification module, an intelligent acceleration verification module, a heterogeneous compatibility verification module, and a blockchain traceability module. It extracts and compares multi-dimensional features such as data structure, type, and relationships, and accurately identifies differences using graph neural networks; ensures the security of the entire migration process under a zero-trust architecture; improves verification efficiency using intelligent caching and parallel processing technologies; solves the migration challenges of heterogeneous platforms through a compatibility rule base and data adaptation module; and achieves tamper-proof and full traceability of the verification process using blockchain technology. The multi-dimensional feature comparison module surpasses traditional content verification, starting from the essence of the data and using technologies such as GNNs for deep difference perception; the zero-trust security verification module shifts the security concept from "boundary protection" to "never trust, continuous verification," permeating the entire migration process; the intelligent acceleration verification module overcomes verification performance bottlenecks through caching, parallelism, and incremental technologies; the heterogeneous compatibility verification module directly addresses the diversity of the domestic IT innovation ecosystem, providing automated compatibility assessment and data adaptation capabilities; and the blockchain traceability module introduces distributed trust, solidifies the verification process, and endows the results with tamper-proof credibility.

[0044] See Figure 1As described above, the data migration verification platform for the information technology innovation platform provided by this invention mainly includes: a multi-dimensional feature comparison module, a zero-trust security verification module, an intelligent acceleration verification module, a heterogeneous compatibility verification module, and a blockchain traceability module.

[0045] According to the present invention, the multi-dimensional feature comparison module is mainly used to extract multi-dimensional features of source data and target data during the data migration process, and to perform difference analysis using a preset comparison model.

[0046] Specifically, multi-dimensional features mainly include data structure, data type, data relationships, and data distribution characteristics.

[0047] Specifically, the comparison model can employ graph neural networks, which are mainly used to model and compare data relationships.

[0048] Specifically, the multi-dimensional feature comparison module has designed dedicated feature extraction and verification algorithms for structured, unstructured, and semi-structured data.

[0049] According to the present invention, the zero-trust security verification module is connected to the multi-dimensional feature comparison module and is mainly used to implement an identity-centric security strategy throughout the entire lifecycle of data migration.

[0050] Specifically, the security strategy mainly includes multi-factor authentication of migration participants, continuous monitoring and analysis of data flow and access behavior, and encrypted transmission and storage of migration data.

[0051] Specifically, the zero-trust security verification module can employ behavioral analysis algorithms to detect and alert on abnormal data access or migration operations in real time based on the baseline behavior of users and devices.

[0052] According to the present invention, the intelligent accelerated verification module is mainly used to pre-store high-frequency and key data through an intelligent caching mechanism, and to perform concurrent verification on data blocks using parallel computing technology and incremental verification strategy, so as to improve the overall verification efficiency.

[0053] Specifically, the intelligent caching mechanism is dynamically adjusted based on the analysis results of data access frequency and business importance.

[0054] According to the present invention, the heterogeneous compatibility verification module is mainly used to detect the software and hardware environment of the source platform and the target platform before data migration, to provide risk warning based on the compatibility rule base, and to automatically complete the conversion and adaptation of data format and interface through the data adaptation module.

[0055] Specifically, the heterogeneous compatibility verification module supports heterogeneous environments, mainly including hardware architectures based on Loongson, Phytium, and Kunpeng, and operating systems based on Kylin OS and UnionTech UOS.

[0056] According to the present invention, the blockchain traceability module works in conjunction with the multi-dimensional feature comparison module, the zero-trust security verification module, the intelligent acceleration verification module, and the heterogeneous compatibility verification module. It is mainly used to store key operation records, verification results, and status change information during the data migration verification process on the blockchain, use smart contracts to ensure the standardized execution of the verification process, and provide audit traceability functions.

[0057] Specifically, the blockchain traceability module records the hash value of the verification result, which is mainly used for mutual recognition of verification results between different information technology innovation platforms.

[0058] This invention provides a data migration and verification platform for a domestic IT innovation platform, built with a microservice architecture. Five modules can be collaboratively invoked through an API gateway. During a data migration from an x86 platform to an ARM domestic IT innovation platform:

[0059] (1) The heterogeneous compatibility verification module starts first, scans the differences in syntax and data types between the source database (such as Oracle) and the target database (such as DM), generates a risk assessment report, and automatically prepares the data conversion script.

[0060] (2) When the migration task is started, the zero-trust security verification module requires the operator to perform two-factor authentication of fingerprint + digital certificate and applies TLS encryption to the migration task link.

[0061] (3) During the data migration process, the intelligent acceleration verification module divides the table data to be migrated into multiple blocks and schedules multiple verification nodes to perform parallel hash calculations and feature extraction. At the same time, for non-first migrations, only the changed incremental data is processed.

[0062] (4) After the migration is completed, the multi-dimensional feature comparison module is triggered. The multi-dimensional feature comparison module extracts the table structure and primary and foreign key relationships from the source and target databases respectively (constructing graph data), uses a pre-trained graph neural network model to analyze the integrity of the relationship, and performs a comprehensive judgment with the content verification results generated by the intelligent acceleration verification module to generate the final integrity report.

[0063] (5) Throughout the process, the blockchain traceability module continues to operate. It records key events such as "migration task started", "compatibility check completed", "data block N verification passed", and "final integrity report generated" and their digital fingerprints on the blockchain. If subsequent business parties raise questions about the accuracy of the data, they can retrieve the blockchain records at any time for auditing and tracing.

[0064] Secondly, the present invention provides a method for verifying data migration on a domestic IT innovation platform using a data migration verification platform.

[0065] See Figure 2The present invention provides a data migration verification method for a domestic IT innovation platform, the specific implementation process of which is as follows:

[0066] (1) Multi-dimensional feature comparison;

[0067] Before and after data migration, multi-dimensional features are extracted from the source data and target data respectively, and a graph neural network model is used for in-depth comparison to generate a difference report.

[0068] During data migration, not only is the content of the data verified, but also multi-dimensional features are extracted, such as data structure, data type, data relationships, and data distribution characteristics. By establishing feature extraction and comparison models for complex data structures, and using graph neural networks to model and compare data relationships, the differences between the data before and after migration can be accurately identified.

[0069] For different types of data, such as structured data, unstructured data, and semi-structured data, we design specialized feature extraction and verification algorithms to improve the accuracy and comprehensiveness of verification, ensure the integrity and consistency of the migrated data, and effectively reduce the data migration error rate.

[0070] Specifically, the implementation process of the specialized feature extraction and verification algorithm is as follows:

[0071] (1) After inputting data, the data type is identified to obtain the data type, such as structured data, unstructured data and semi-structured data.

[0072] (2) Use a structured feature extractor to extract features from structured data, and use a feature fusion processor to fuse the extracted structured data features to obtain fused structured data features.

[0073] (3) Use an unstructured feature extractor to extract features from unstructured data, and use a feature fusion processor to fuse the extracted unstructured data features to obtain fused unstructured data features.

[0074] (4) Use a semi-structured feature extractor to extract features from semi-structured data, and use a feature fusion processor to fuse the extracted semi-structured data features to obtain fused semi-structured data features.

[0075] (5) The unified verification engine is used to verify the features of fused structured data, fused unstructured data, and fused semi-structured data. Specifically, the verification includes quality assessment, consistency verification, and integrity check. After unified verification processing, a standardized feature vector is output.

[0076] (2) Zero-trust security management;

[0077] Before the migration begins, strong identity authentication is performed on the operating entity and equipment; during the migration process, the data flow is encrypted and monitored throughout, and behavior logs are analyzed in real time to discover potential threats.

[0078] This invention introduces a zero-trust architecture concept to implement strict identity authentication and access control during data migration. Before data migration, multi-factor authentication is performed on both the source and destination, combining biometrics, digital certificates, and other authentication methods to ensure the legitimacy of the migration operation. During data migration, the flow of data and access behavior are continuously monitored, and behavioral analysis algorithms are used to detect abnormal operations in real time. Enhanced transmission and storage technologies are employed to ensure data security during the migration process.

[0079] This invention, through the deep integration of zero-trust architecture and verification mechanism, prevents data leakage and illegal tampering, thus building a solid security defense for data migration on the domestic IT innovation platform.

[0080] (3) Intelligent accelerated verification;

[0081] Implement intelligent caching based on data profiles; divide the data to be verified into blocks and schedule computing resources for parallel verification; for incremental migration, only perform verification on the changed data portion.

[0082] This invention constructs an intelligent caching mechanism that analyzes the access frequency and importance of data before data migration, and pre-caches frequently accessed and critical data into high-speed storage.

[0083] Meanwhile, during the data migration and verification process, this invention utilizes parallel computing technology to divide the data according to certain rules and perform verification operations on multiple data blocks simultaneously. By optimizing the task scheduling algorithm and rationally allocating computing resources, verification efficiency is improved.

[0084] In addition, this invention combines incremental verification technology to focus on verifying only the data that changes during the migration process, reducing the verification workload and significantly shortening the data migration verification time. Compared with the traditional serial full verification, the data migration verification time is shortened by more than 60%, improving the overall efficiency of data migration on the information technology innovation platform.

[0085] (4) Heterogeneous compatibility handling;

[0086] Assess the environmental differences between the source and target platforms, issue early warnings about compatibility risks based on the rule base, and call the data adaptation engine to automatically complete the necessary data conversion and interface adaptation.

[0087] This invention develops a specialized compatibility verification tool for heterogeneous IT innovation platforms with different architectures, operating systems, and databases. Before data migration, a comprehensive test of the hardware and software environments of both the source and target platforms is performed, analyzing differences in data formats, interface specifications, system configurations, etc. By establishing a compatibility rule base, compatibility issues during the data migration process are pre-assessed and risks are warned. A data adaptation module is developed to automatically perform data format conversion and interface adaptation operations, ensuring smooth data migration between heterogeneous platforms. Simultaneously, a visualized compatibility verification report and adaptation solution suggestions are provided to facilitate user adjustments and optimizations.

[0088] (5) Blockchain-based evidence storage and traceability;

[0089] Key events and results throughout the verification lifecycle are continuously recorded on the blockchain. Verification strategies are executed automatically through smart contracts, and a convenient historical traceability query interface is provided.

[0090] This invention leverages the immutability and traceability of blockchain to record the entire data migration verification process. During data migration, the results of each verification, data status changes, and operation records are stored in blockchain format. Smart contracts ensure the standardization and fairness of the verification process, preventing tampering of verification results. In the event of data problems, users can quickly trace the historical data migration verification process through the blockchain to accurately pinpoint the stage and cause of the problem. Furthermore, blockchain technology enables mutual recognition of verification results between different information technology platforms, improving the credibility and efficiency of data migration verification.

[0091] The following is an example illustrating a data migration verification method for a domestic IT innovation platform provided by this invention:

[0092] S1: Platform initialization, loading compatibility rule base, pre-trained model, smart contract, etc.;

[0093] S2: The user submits a migration task and configures the source and target endpoints;

[0094] S3: Perform compatibility pre-checks and risk assessments, and automatically generate solutions if adaptation is required;

[0095] S4: Zero-trust authentication process is initiated; a secure transmission channel is established after successful verification.

[0096] S5: The intelligent caching module preheats the cache based on data characteristics;

[0097] S6: Data transmission begins, and the intelligent acceleration verification module simultaneously starts parallel and incremental verification.

[0098] S7: Data transmission complete, multi-dimensional feature comparison module starts in-depth analysis;

[0099] S8: All verification results and process logs are submitted to the blockchain network for storage;

[0100] S9: The platform generates a comprehensive verification report, indicating whether the migration task was successful or failed, and pointing out the specific problem areas.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. However, these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data migration and verification platform for domestic IT innovation platforms, characterized in that, Includes the following modules: The multi-dimensional feature comparison module is used to extract multi-dimensional features of source data and target data during the data migration process, and to perform difference analysis using a preset comparison model. The zero-trust security verification module, connected to the multi-dimensional feature comparison module, is used to implement an identity-centric security strategy throughout the entire lifecycle of data migration. The intelligent acceleration verification module is used to pre-store high-frequency and critical data through an intelligent caching mechanism, and to perform concurrent verification on data blocks using parallel computing technology and incremental verification strategy, so as to improve the overall verification efficiency. The heterogeneous compatibility verification module is used to detect the software and hardware environment of the source platform and the target platform before data migration, provide risk warnings based on the compatibility rule base, and automatically complete the conversion and adaptation of data format and interface through the data adaptation module. The blockchain traceability module, in collaboration with the multi-dimensional feature comparison module, the zero-trust security verification module, the intelligent acceleration verification module, and the heterogeneous compatibility verification module, is used to store key operation records, verification results, and status change information during the data migration verification process on the blockchain. It utilizes smart contracts to ensure the standardized execution of the verification process and provides audit traceability functions.

2. The data migration verification platform for the information technology innovation platform according to claim 1, characterized in that, The multi-dimensional features include data structure, data type, data relationships, and data distribution characteristics.

3. The data migration verification platform for the information technology innovation platform according to claim 1, characterized in that, The comparison model is a graph neural network, used to model and compare data relationships.

4. The data migration and verification platform for the information technology innovation platform according to claim 1, characterized in that, The multi-dimensional feature comparison module is designed with dedicated feature extraction and verification algorithms for structured, unstructured, and semi-structured data, respectively.

5. The data migration and verification platform for the information technology innovation platform according to claim 1, characterized in that, The security strategy includes multi-factor authentication of migration participants, continuous monitoring and analysis of data flow and access behavior, and encrypted transmission and storage of migration data.

6. The data migration verification platform for the information technology innovation platform according to claim 1, characterized in that, The zero-trust security verification module uses a behavior analysis algorithm to detect and alert on abnormal data access or migration operations in real time based on the baseline behavior of users and devices.

7. The data migration and verification platform for the information technology innovation platform according to claim 1, characterized in that, The intelligent caching mechanism is dynamically adjusted based on the analysis results of data access frequency and business importance.

8. The data migration verification platform for the information technology innovation platform according to claim 1, characterized in that, The heterogeneous compatibility verification module supports heterogeneous environments, including hardware architectures based on Loongson, Phytium, and Kunpeng, and operating systems based on Kylin OS and UnionTech UOS.

9. The data migration verification platform for the information technology innovation platform according to claim 1, characterized in that, The blockchain traceability module records the hash value of the verification result, which is used for mutual recognition of verification results between different information technology innovation platforms.

10. A data migration verification method for a domestic IT innovation platform implemented using the data migration verification platform according to any one of claims 1-9, characterized in that, Including the following methods: (1) Multi-dimensional feature comparison; Before and after data migration, multi-dimensional features are extracted from the source data and target data respectively, and a graph neural network model is used for deep comparison to generate a difference report. (2) Zero-trust security management; Before the migration begins, perform strong identity authentication on the operating entity and the equipment; During the migration process, the data flow is encrypted and monitored throughout, and behavior logs are analyzed in real time to identify potential threats; (3) Intelligent accelerated verification; Implement intelligent caching based on data profiles; The data to be verified is divided into blocks, and computing resources are scheduled for parallel verification; for incremental migration, verification is performed only on the changed data portion. (4) Heterogeneous compatibility handling; Assess the environmental differences between the source and target platforms, issue early warnings about compatibility risks based on the rule base, and call the data adaptation engine to automatically complete the necessary data conversion and interface adaptation; (5) Blockchain-based evidence storage and traceability; Key events and results throughout the verification lifecycle are continuously recorded on the blockchain. Verification strategies are executed automatically through smart contracts, and a convenient historical traceability query interface is provided.

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