A space-time data trusted circulation verification method based on audit identification

Abstract

The application discloses a kind of based on auditing mark's spatiotemporal data credible circulation verification method, belong to data security technical field, this method includes: obtaining spatiotemporal data to be audited, according to auditing requirement, carry out auditing to spatiotemporal data, after auditing is completed, output auditing result;For spatiotemporal data that pass auditing, extract the data feature that can stably characterize data entity, and generate data feature mark according to pre-set data feature organization rule;According to the auditing result and the data feature mark generates auditing association mark;According to the auditing association mark generates auditing mark;Spatiotemporal data carrying the auditing mark enters circulation link;Audit state automatic verification.This method can realize automatic identification audit state, automatically verify auditing authenticity, automatically find data tampering, realize whole-process credible traceability, and auditing state credible management.

Description

Technical Field

[0001] This invention relates to the field of data security technology, and in particular to a method for verifying the trusted circulation of spatiotemporal data based on audit identifiers. Background Technology

[0002] With the widespread application of geographic information resources, spatiotemporal data has become an important data resource.

[0003] According to the requirements of the Surveying and Mapping Law of the People's Republic of China, the Regulations on Map Management, and the Regulations on the Management of Internet Map Services, some spatiotemporal data must undergo national security review, map review, or review of classified sensitive geographic information procedures before being publicly released, shared and exchanged, disseminated on the Internet, or exported.

[0004] Currently, review results are typically stored in the form of review numbers, approval documents, electronic certificates, and paper documents. Review information and the spatiotemporal data itself are stored independently. During subsequent data dissemination, the review status often cannot be automatically identified.

[0005] Existing methods include:

[0006] Map approval number labeling method: After approval, the map number is marked on the map product, such as navigation electronic map products. Users can check the approval status by viewing the label content.

[0007] Documentation submission method: A paper approval certificate will be issued after map review. Data and review supporting documents are stored and circulated together. The recipient confirms the review status by reviewing the review documents.

[0008] Digital watermarking: Embedding digital watermarks in map or image products. However, no mechanism is established to link the review information with the data content. Used for copyright protection, data traceability, and leak tracking.

[0009] Digital signature method: This method uses electronic signature technology to sign data files. It is used to verify the integrity and authenticity of documents. However, it cannot reflect business attributes such as audit category, audit time, and audit status.

[0010] Existing technologies still have the following drawbacks:

[0011] 1. There is no reliable binding relationship between the existing audit information and spatiotemporal data entities.

[0012] When data is copied, modified, formatted, or republished: the review number may be deleted; the review file may be lost; the review status may not be automatically identified; resulting in the recipient being unable to confirm whether the data has been reviewed.

[0013] 2. The audit and verification process relies on manual checks.

[0014] The approval number can usually be viewed on the Ministry of Natural Resources' official website, but the verification process is inefficient. Even after data modifications, the original approval result may still be used, posing a risk of misuse of the approval result.

[0015] 3. It is difficult to achieve automated supervision.

[0016] It cannot meet the regulatory requirements for internet maps, cross-border data export, and data sharing and exchange.

[0017] Based on the above background, this invention proposes a method for verifying the trusted circulation of spatiotemporal data based on audit identifiers. Summary of the Invention

[0018] This invention provides a method for verifying the trusted circulation of spatiotemporal data based on audit identifiers, aiming to realize the binding relationship between audit information and data entities, thereby achieving the goals of automatically identifying audit status, automatically verifying audit authenticity, automatically detecting data tampering, realizing trusted traceability throughout the entire process, and trusted management of audit status.

[0019] To achieve the above objectives, the present invention provides the following solution:

[0020] A method for verifying the trusted circulation of spatiotemporal data based on audit identifiers includes the following steps:

[0021] Step S1, Spatiotemporal data review: Obtain the spatiotemporal data to be reviewed, conduct the review of the spatiotemporal data according to the review requirements, and output the review results after the review is completed;

[0022] Step S2, Data Feature Identifier Generation: For the approved spatiotemporal data, extract data features that can stably represent data entities, and generate data feature identifiers according to preset data feature organization rules;

[0023] Step S3, Generate Audit Association Identifier: Generate an audit association identifier based on the audit result and the data feature identifier;

[0024] Step S4, Review Identifier Generation and Storage: Generate a review identifier based on the review association identifier;

[0025] Step S5, Trusted Circulation of Spatiotemporal Data: Spatiotemporal data carrying the audit identifier enters the circulation process;

[0026] Step S6: Automatic verification of the audit status.

[0027] Preferably, in step S1, the review requirements include: national security review, map review, or review requirements for classified sensitive geographic information;

[0028] The spatiotemporal data includes vector data, digital orthophotos, digital elevation models, real-scene 3D models, high-precision maps, map service data, trajectory data, point cloud data, and inertial navigation data.

[0029] The audit results include audit number, drawing review number, auditing organization, audit category, audit time, audit status, and data version.

[0030] Preferably, in step S2, extracting data features that can stably represent data entities specifically involves:

[0031] For different types of spatiotemporal data, the extracted data features include: high-precision map data, image data, point cloud data, and trajectory data.

[0032] Preferably, in step S3, the audit association identifier establishes a correspondence between audit information and data feature identifiers through preset association rules;

[0033] The audit association identifier includes: audit information and data feature identifier; wherein...

[0034] The review information includes: review number, reviewing organization, review category, review time, and review status;

[0035] The data feature identifier is used to characterize the corresponding data entity;

[0036] The association rules are implemented using encoding rules, digital signatures, cryptographic algorithms, feature mapping rules, or other data association methods.

[0037] Preferably, in step S4, the audit identifier serves as the storage carrier for the audit association identifier and is stored in different locations of the spatiotemporal data, including: data metadata, digital watermark, digital signature, data header information, independent audit label file, trusted database, or blockchain evidence storage.

[0038] Preferably, in step S4, the audit identifier is saved synchronously with the spatiotemporal data and participates in the data circulation process.

[0039] Preferably, in step S5, the spatiotemporal data carrying the audit identifier enters the sharing and exchange, Internet publication, results delivery, data export, and archiving and storage circulation stages;

[0040] During the data flow process, the audit status in the audit identifier is synchronously migrated with the spatiotemporal data according to the audit status inheritance rules.

[0041] Preferably, in step S5, the review status in the review identifier is synchronously migrated according to the review status inheritance rule, specifically as follows:

[0042] Even when file format conversion, storage media migration, or database migration occurs, the audit identifier can still complete the audit status verification.

[0043] When data is updated, trimmed, merged, or upgraded, data feature identifiers are regenerated, and audit association identifiers are re-established.

[0044] Preferably, in step S6, after the receiver obtains the spatiotemporal data,

[0045] First, read the audit identifier and extract the audit association identifier stored therein;

[0046] Then, the data features of the current spatiotemporal data are extracted again to generate new data feature identifiers;

[0047] The newly generated data feature identifier is compared with the data feature identifier in the audit association identifier for consistency.

[0048] Preferably, in step S6, the regenerated data feature identifier is compared with the data feature identifier in the audit association identifier, specifically including:

[0049] When the comparison results match, the correspondence between the current data and the audit information is deemed valid, and the audit information is output.

[0050] When the comparison results are inconsistent, it is determined that the data entity has changed or the audit information does not match the current data, and a prompt message is output indicating that the audit status has expired or needs to be re-audited.

[0051] Compared with the prior art, the beneficial technical effects of the present invention are as follows:

[0052] 1. In existing technologies, review information such as drawing approval numbers and review certificates are typically stored in the form of paper certificates, independent database records, or separate files. These lack a stable connection with spatiotemporal data entities, making it prone to the problem of review information becoming detached from the data during data sharing and circulation. This invention generates data feature identifiers and establishes a relationship between review status objects and data feature identifiers, enabling review statuses to correspond to specific data entities, thereby improving the consistency and reliability of review results with data entities.

[0053] 2. In existing technologies, during data sharing, exchange, internet publication, and deliverables, review information typically requires manual inquiry or separate transmission, which can easily lead to missing review status. This invention uses the review identifier as the carrier of review status, saving and circulating it synchronously with the data. This allows the review status to accompany the data through sharing, exchange, archiving, and publication, achieving continuous management of the review status throughout the entire data lifecycle.

[0054] 3. Existing digital watermarking schemes typically rely on specific watermarking algorithms or file formats. Once the storage method changes, the watermarking scheme needs to be redesigned. This invention employs a layered design of review status, data feature identifiers, and review identifier carriers. The review status describes the review result, the data feature identifier stably represents the data entity, and the review identifier serves only as a storage and carrying method for the review status. Therefore, different carriers such as digital watermarks, metadata, digital signatures, and independent tags can be used according to different application scenarios without changing the review status association and verification mechanism, thus improving system compatibility, scalability, and engineering application value.

[0055] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 The flowchart of the spatiotemporal data trusted circulation verification method based on audit identifier provided by the present invention is shown. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] This invention proposes a reliable correlation mechanism between audit status and spatiotemporal data. It establishes a stable correspondence between audit status and data entities through data feature identifiers, rather than simply attaching audit information to files. Simultaneously, this invention proposes a consistency verification method based on data feature identifiers. This method compares the newly extracted data feature identifiers with the data feature identifiers in the audit identifier, achieving automatic verification of the audit status without relying on file format, filename, or storage medium.

[0060] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0061] like Figure 1As shown in the figure, this embodiment provides a method for verifying the trusted circulation of spatiotemporal data based on audit identifiers. This method establishes an inseparable binding relationship between audit information and spatiotemporal data entities, thereby achieving automatic verification and trusted traceability of the audit status of spatiotemporal data.

[0062] The specific steps of this invention are as follows:

[0063] Step S1: Spatiotemporal data verification

[0064] Specifically, the spatiotemporal data to be reviewed is acquired, and the data is reviewed in accordance with national security review, map review, or review requirements for classified sensitive geographic information. The spatiotemporal data includes vector data, digital orthophotos (DOM), digital elevation models (DEM), realistic 3D models, high-precision maps, map service data, trajectory data, point cloud data, inertial navigation data, etc.

[0065] Furthermore, after the review is completed, the review system outputs the review results, including review number, review drawing number, reviewing organization, review category, review time, review status, data version, and other review information.

[0066] Step S2: Data Feature Identifier Generation

[0067] Specifically, for the approved spatiotemporal data, data features that can stably represent data entities are extracted, and data feature identifiers (DFI) are generated according to preset data feature organization rules.

[0068] The data characteristics do not depend on the file format, but originate from the spatial, structural, and business attributes of the spatiotemporal data itself. Therefore, they can remain stable even under conditions such as data format conversion and storage medium migration.

[0069] For different types of spatiotemporal data, the extracted data features include, but are not limited to:

[0070] (1) High-precision map data: coverage area, number of roads, number of lanes, layer composition, road topology, coordinate reference system, accuracy level, data version, etc.;

[0071] (2) Image data: coverage, spatial resolution, number of bands, coordinate reference system, image layer, data version, etc.;

[0072] (3) Point cloud data: coverage area, number of points, point density, elevation statistics, classification information, coordinate reference system, etc.;

[0073] (4) Trajectory data: trajectory coverage, trajectory length, number of trajectory points, sampling frequency, time span, etc.;

[0074] The system generates corresponding data feature identifiers based on the above data characteristics, which are used to stably represent the current spatiotemporal data entities.

[0075] Step S3: Review the generation of the association identifier

[0076] Specifically, an Audit Association Identifier (AAI) is generated based on the audit results and data feature identifiers.

[0077] The review association identifier includes review information and data feature identifier. The review information includes the review number, reviewing agency, review category, review time, review status, etc., while the data feature identifier is used to represent the corresponding data entity.

[0078] The review association identifier establishes a correspondence between review information and data feature identifiers through preset association rules, enabling the review results to establish a stable association with specific spatiotemporal data. The association rules can be implemented using encoding rules, digital signatures, cryptographic algorithms, feature mapping rules, or other data association methods.

[0079] Step S4: Generate and store audit mark

[0080] Specifically, an audit identifier is generated based on the audit association identifier. The audit identifier, serving as the storage medium for the audit association identifier, can be stored in different locations within the spatiotemporal data, including but not limited to:

[0081] (1) Data metadata;

[0082] (2) Digital watermarking;

[0083] (3) Digital signature;

[0084] (4) Header information;

[0085] (5) Independently review label documents;

[0086] (6) Evidence stored in a trusted database or on a blockchain.

[0087] Digital watermarking is only one way to store audit marks and is not the only way to implement this invention.

[0088] The audit mark is saved synchronously with the spatiotemporal data and participates in the data circulation process.

[0089] Step S5: Trusted Circulation of Spatiotemporal Data

[0090] Specifically, spatiotemporal data carrying audit identifiers enters various circulation stages, including sharing and exchange, internet publication, deliverables, data export, and archiving. During data circulation, the audit status in the audit identifier migrates synchronously with the spatiotemporal data according to the audit status inheritance rules. When operations such as file format conversion, storage media migration, or database migration occur, the re-extracted data features remain consistent because the data feature identifiers originate from the spatiotemporal data itself, and the audit identifiers can still complete the audit status verification. When data is updated, trimmed, merged, or upgraded, the system regenerates the data feature identifiers and re-establishes the audit association identifiers.

[0091] Step S6: Automatic verification of review status

[0092] Specifically, after acquiring the spatiotemporal data, the receiver first reads the audit identifier and extracts the stored audit association identifier. Then, it re-extracts the data features of the current spatiotemporal data to generate new data feature identifiers. The newly generated data feature identifiers are then compared with the data feature identifiers in the audit association identifiers. If the comparison results match, the correspondence between the current data and the audit information is deemed valid, and audit information such as the auditing agency, audit time, audit number, audit category, and audit status is output. If the comparison results do not match, it is determined that the data entity has changed or the audit information does not match the current data, and a prompt message indicating that the audit status is invalid or requires re-audit is output.

[0093] Therefore, this invention provides a method for verifying the trusted circulation of spatiotemporal data based on audit identifiers. This effectively solves the problems of existing methods where audit information and data entities cannot be reliably linked during the sharing, exchange, internet publication, cross-border data export, and data circulation processes. These problems lead to difficulties in automatically verifying whether data has undergone national map audits, the easy misuse of audit results, and the difficulty in tracing audit status. By establishing an inseparable binding relationship between audit information and spatiotemporal data entities, automatic verification and trusted traceability of the spatiotemporal data audit status are achieved.

[0094] Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this invention. Furthermore, those skilled in the art will recognize that, based on the ideas of this invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for verifying the trusted circulation of spatiotemporal data based on audit identifiers, characterized in that, Includes the following steps: Step S1, Spatiotemporal data review: Obtain the spatiotemporal data to be reviewed, conduct the review of the spatiotemporal data according to the review requirements, and output the review results after the review is completed; Step S2, Data Feature Identifier Generation: For the approved spatiotemporal data, extract data features that can stably represent data entities, and generate data feature identifiers according to preset data feature organization rules; Step S3, Generate Audit Association Identifier: Generate an audit association identifier based on the audit result and the data feature identifier; Step S4, Review Identifier Generation and Storage: Generate a review identifier based on the review association identifier; Step S5, Trusted Circulation of Spatiotemporal Data: Spatiotemporal data carrying the audit identifier enters the circulation process; Step S6: Automatic verification of the audit status.

2. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S1, the review requirements include: national security review, map review, or review requirements for classified sensitive geographic information; The spatiotemporal data includes vector data, digital orthophotos, digital elevation models, real-scene 3D models, high-precision maps, map service data, trajectory data, point cloud data, and inertial navigation data. The audit results include audit number, drawing review number, auditing organization, audit category, audit time, audit status, and data version.

3. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S2, data features that can stably represent data entities are extracted, specifically: For different types of spatiotemporal data, the extracted data features include: high-precision map data, image data, point cloud data, and trajectory data.

4. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S3, the audit association identifier establishes a correspondence between audit information and data feature identifiers through preset association rules; The audit association identifier includes: audit information and data feature identifier; wherein... The review information includes: review number, reviewing organization, review category, review time, and review status; The data feature identifier is used to characterize the corresponding data entity; The association rules are implemented using encoding rules, digital signatures, cryptographic algorithms, feature mapping rules, or other data association methods.

5. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S4, the audit identifier serves as the storage carrier for the audit association identifier and is stored in different locations of the spatiotemporal data, including: data metadata, digital watermark, digital signature, data header information, independent audit label file, trusted database, or blockchain evidence storage.

6. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 5, characterized in that, In step S4, the audit identifier is saved synchronously with the spatiotemporal data and participates in the data circulation process.

7. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S5, the spatiotemporal data carrying the audit identifier enters the sharing and exchange, Internet publication, results delivery, data export, and archiving and storage circulation stages; During the data flow process, the audit status in the audit identifier is migrated synchronously with the spatiotemporal data according to the audit status inheritance rules.

8. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 7, characterized in that, In step S5, the review status in the review identifier is synchronously migrated according to the review status inheritance rule, specifically as follows: Even when file format conversion, storage media migration, or database migration occurs, the audit identifier can still complete the audit status verification. When data is updated, trimmed, merged, or upgraded, data feature identifiers are regenerated, and audit association identifiers are re-established.

9. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 1, characterized in that, In step S6, after the receiver obtains the spatiotemporal data, First, read the audit identifier and extract the audit association identifier stored therein; Then, the data features of the current spatiotemporal data are extracted again to generate new data feature identifiers; The newly generated data feature identifier is compared with the data feature identifier in the audit association identifier for consistency.

10. The method for verifying the trusted circulation of spatiotemporal data based on audit identifiers according to claim 9, characterized in that, In step S6, the newly generated data feature identifier is compared with the data feature identifier in the audit association identifier for consistency, specifically including: When the comparison results match, the correspondence between the current data and the audit information is deemed valid, and the audit information is output. When the comparison results are inconsistent, it is determined that the data entity has changed or the audit information does not match the current data, and a prompt message is output indicating that the audit status has expired or needs to be re-audited.

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