CN111797368A - A method and system for identifying and analyzing data watermarks - Google Patents

Abstract

The invention discloses a data watermark identification and analysis method and a system, wherein the method comprises the following steps: by acquiring the data content to be identified, the data content to be identified includes: at least one single piece of data; classifying according to the data content to be identified to generate at least one semantic segment; generating a semantic library according to different semantic segments; and matching the single data in the data content to be identified with the semantic segments in the semantic library, and marking the data which cannot be matched with the semantic segments in the semantic library as the data watermark. By analyzing and identifying the data watermark, accurate analysis is provided for the identification processing of the data watermark, and the false identification of the data and the interference of the data meaning are reduced.

Description

A method and system for identifying and analyzing data watermarks

technical field

The invention relates to the technical field of information security, in particular to a data watermark identification and analysis method and system.

Background technique

The rapid development of information technology, represented by big data analysis and a new generation of artificial intelligence technology, has played an important role in national governance, lean management of institutions, and improved customer service. The full integration and sharing of data has become the general trend. It has a profound impact on economic and social development. However, the problem of data security has become increasingly prominent, and the problem of data misappropriation and abuse is becoming more and more serious, which is the primary problem that hinders the further integration and sharing of data.

Data watermarking technology is to directly embed some identification information (that is, data watermarks) into digital carriers (including multimedia, documents, software, etc.) Party identification and identification. Among them, the addition-type data watermark is to add watermark data in the data string, which is used to mark the belonging of the data, and can be used for the definition of ownership and the definition of the data distribution process. However, the data watermark added in the prior art changes the data. structure, resulting in misidentification of data and interference of data representation.

SUMMARY OF THE INVENTION

Therefore, the present invention provides a data watermark identification and analysis method and system, which overcomes the defects in the prior art that data misrecognition due to adding a watermark data structure and interference with the representation of the data are caused.

To achieve the above object, the present invention provides the following technical solutions:

In a first aspect, an embodiment of the present invention provides a method for identifying and analyzing data watermarks, including:

Acquiring the data content to be identified, the data content to be identified includes: at least one single piece of data;

Classify according to the content of the data to be identified, and generate at least one semantic segment;

Generate a semantic library according to different semantic segments;

A single piece of data in the data content to be identified is matched with a semantic segment in the semantic database, and data that cannot be matched with the semantic segment in the semantic database is marked as a data watermark.

In one embodiment, the content of the data to be recognized is obtained as a total set of input data with the same grammatical structure.

In one embodiment, at least one semantic segment is generated by classifying the same field and the position of the same field in the data content to be identified.

In an embodiment, the classification according to the same field and the position of the same field in the data content to be identified to generate at least one semantic segment includes:

Determining that the number of repeated fields in the data content to be identified is greater than or equal to the first preset value as the same field, and count the same field and the field position of the same field;

Delete the same fields whose number is less than the second preset value, and keep the same fields whose number is greater than or equal to the second preset value;

According to the sequence position of a single piece of data in the data content to be identified, the same fields that are retained are sorted by sequence position to generate at least one semantic segment.

In one embodiment, after the step of marking a single piece of data in the data content to be identified with a semantic segment in the semantic database, and marking data that cannot be matched with the semantic segment in the semantic database as a data watermark, the method further includes: Returns the content and location marked as a data watermark.

In an embodiment, the data content to be identified includes at least one of text and character strings.

In a second aspect, an embodiment of the present invention provides a data watermark identification and analysis system, including:

a data acquisition module, configured to acquire the content of the data to be identified, the content of the data to be identified includes: at least one single piece of data;

A semantic segment generation module, configured to classify according to the content of the data to be identified, and generate at least one semantic segment;

The lexicon segment generation module is used to generate a semantic library according to different semantic segments;

The data watermark recognition module is used to match a single piece of data in the data content to be recognized with a semantic segment in the semantic database, and mark the data that cannot be matched with the semantic segment in the semantic database as a data watermark.

In one embodiment, the data watermark identification and analysis system further includes:

The data watermark content and position acquisition module is used to return the content and position marked as data watermark.

In a third aspect, an embodiment of the present invention provides a terminal, including: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores a program executable by the at least one processor. The instruction is executed by the at least one processor, so that the at least one processor executes the data watermark identification and analysis method described in the first aspect of the embodiment of the present invention.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the first aspect of the embodiment of the present invention. Data watermark recognition and analysis method.

The technical scheme of the present invention has the following advantages:

The data watermark identification and analysis method and system provided by the present invention obtain the content of the data to be identified, the content of the data to be identified includes: at least one single piece of data; classify according to the content of the data to be identified to generate at least one semantic segment; Semantic segment, generate a semantic database; match a single piece of data in the data content to be recognized with a semantic segment in the semantic database, and mark the data that cannot be matched with the semantic segment in the semantic database as a data watermark. The invention provides accurate analysis for the identification and processing of the data watermark by analyzing and identifying the data watermark, and reduces the misidentification of the data and the interference of the meaning of the data.

Description of drawings

In order to illustrate the specific embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the specific embodiments or the prior art. Obviously, the accompanying drawings in the following description The drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

1 is a flowchart of a specific example of a data watermark identification and analysis method provided by an embodiment of the present invention;

2 is a flowchart of another specific example of a data watermark identification and analysis method provided by an embodiment of the present invention;

3 is a block diagram of a specific example of a data watermark identification and analysis system provided by an embodiment of the present invention;

4 is a block diagram of another specific example of a data watermark identification and analysis system provided by an embodiment of the present invention;

FIG. 5 is a composition diagram of a specific example of a terminal according to an embodiment of the present invention.

Detailed ways

The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are a 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 of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a specific orientation or a specific orientation. construction and operation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first", "second", and "third" are used for descriptive purposes only and should not be construed to indicate or imply relative importance.

In the description of the present invention, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense, unless otherwise expressly specified and limited, for example, it may be a fixed connection or a detachable connection connection, or integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal connection of two components, which can be a wireless connection or a wired connection connect. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in specific situations.

In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

Example 1

A data watermark identification and analysis method provided by an embodiment of the present invention, as shown in FIG. 1 , includes the following steps:

Step S1: Acquire the content of the data to be identified, where the content of the data to be identified includes: at least one single piece of data.

In the embodiment of the present invention, the content of the data to be recognized is the total set of input data with the same grammatical structure, wherein the grammatical structure includes regular and irregular, for example: regular includes: subject, predicate, object and other structures Sentence, this is only an example, not limited to this, according to specific needs, choose the corresponding structure; irregular grammatical structure, for example: each number of the ID card represents different meanings, the address information is sorted from large to small, etc. , this is only an example, not limited to this, according to specific needs, select the corresponding structure.

In this embodiment of the present invention, the data content to be identified includes: at least one of text and character strings, which is only an example, not limited thereto, and corresponding content is selected according to corresponding requirements.

Step S2: Classify according to the content of the data to be identified, and generate at least one semantic segment.

In the embodiment of the present invention, at least one semantic segment is generated by classifying the same field and the position of the same field in the data content to be identified. In this embodiment, the same field is defined, and by calculating the probability of repeated occurrence of the same field, the valid information of the data content to be identified is extracted, and at least one semantic segment is generated. The classification is performed according to the same field and the position of the same field in the data content to be identified, and the specific process of generating at least one semantic segment includes: determining a field whose number of repeated fields in the data content to be identified is greater than or equal to a first preset value as same fields, and count the same fields and the field positions of the same fields; delete the same fields whose number is less than the second preset value, and keep the same fields whose number is greater than or equal to the second preset value; The sequence position of a single piece of data, sort the reserved same fields according to the sequence position, and generate at least one semantic segment.

In the embodiment of the present invention, the fields with the number of repeated fields greater than or equal to 2 in the data content to be identified are determined as the same fields, and this is only an example, not limited to this. Corresponding values are set according to reasonable requirements, and the same statistics are calculated. Field and the field position of the same field; delete the same field whose number is less than 2, and keep the same field whose number is greater than or equal to 2, this is only an example, not limited to this, and set the corresponding value according to reasonable needs; The sequence position of a single piece of data in the data content, and the reserved same fields are sorted according to the sequence position to generate at least one semantic segment.

Step S3: Generate a semantic library according to different semantic segments.

In this embodiment of the present invention, the semantic library includes at least one semantic segment that is classified and generated according to the content of the data to be identified.

Step S4: Match a single piece of data in the data content to be identified with a semantic segment in the semantic database, and mark the data that cannot be matched with the semantic segment in the semantic database as a data watermark.

In the embodiment of the present invention, a single piece of data in the data content to be identified is matched with a semantic segment in the semantic library, and when matching, it is ensured that a single piece of data in the data content to be identified is matched with each semantic segment in the semantic library, The data that cannot be matched with the semantic segment in the semantic library is marked as data watermark, as shown in Figure 2, after identifying the data watermark, it also includes:

Step S5: Return to the position of the data watermark.

In the embodiment of the present invention, by analyzing and identifying the data watermark, the position of the data watermark is returned, so as to provide accurate analysis for the identification and processing of the data watermark, and reduce the misidentification of the data and the interference of the meaning of the data; at the same time, the data can also be returned. The position of the watermark provides accurate positioning for the subsequent processing of the data watermark.

The data watermark identification and analysis method provided in the embodiment of the present invention obtains the content of the data to be identified, and the content of the data to be identified includes: at least one single piece of data; classifying the data content to be identified to generate at least one semantic segment; A semantic database is generated; a single piece of data in the data content to be identified is matched with a semantic segment in the semantic database, and the data that cannot be matched with the semantic segment in the semantic database is marked as a data watermark. By analyzing and identifying the data watermark, it provides accurate analysis for the identification and processing of the data watermark, and reduces the misidentification of the data and the interference of the meaning of the data.

Example 2

An embodiment of the present invention provides a data watermark identification and analysis system, as shown in FIG. 3 , including:

The data acquisition module 1 is used to acquire the data content to be identified, and the data content to be identified includes: at least one single piece of data; this module executes the method described in step S1 in Embodiment 1, and details are not repeated here.

The semantic segment generation module 2 is configured to classify according to the data content to be identified and generate at least one semantic segment; this module executes the method described in step S2 in Embodiment 1, and details are not repeated here.

The lexical base segment generating module 3 is used to generate a semantic base according to different semantic segments; this module executes the method described in step S3 in Embodiment 1, and details are not repeated here.

The data watermark identification module 4 is used to match a single piece of data in the data content to be identified with the semantic segment in the semantic library, and the data that cannot be matched with the semantic segment in the semantic library is a data watermark; this module executes in Embodiment 1 The method described in step S4 is not repeated here.

In the embodiment of the present invention, as shown in FIG. 4 , the data watermark identification and analysis system further includes:

The data watermark content and location acquisition module 5 is used to return the content and location marked as the data watermark. This module executes the method described in step S5 in Embodiment 1, which is not repeated here.

An embodiment of the present invention provides a data watermark identification and analysis system, which acquires data content to be identified through a data acquisition module, and the data content to be identified includes: at least one single piece of data; the semantic segment generation module classifies the data content to be identified and generates At least one semantic segment; the lexical segment generation module generates a semantic database according to different semantic segments; the data watermark recognition module matches a single piece of data in the data content to be recognized with the semantic segment in the semantic database, and cannot match the semantics in the semantic database The data that matches the segment is marked as a data watermark. By analyzing and identifying the data watermark, it provides accurate analysis for the identification and processing of the data watermark, and reduces the misidentification of the data and the interference of the meaning of the data.

Example 3

An embodiment of the present invention provides a terminal, as shown in FIG. 5 , including: at least one processor 401 , such as a CPU (Central Processing Unit, central processing unit), at least one communication interface 403 , memory 404 , and at least one communication bus 402 . Among them, the communication bus 402 is used to realize the connection and communication between these components. The communication interface 403 may include a display screen (Display) and a keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a wireless interface. The memory 404 may be a high-speed RAM memory (Random Access Memory, random access memory), or a non-volatile memory (non-volatile memory), such as at least one disk memory.

The memory 404 can optionally also be at least one storage device located away from the aforementioned processor 401 . The processor 401 may execute the data watermark identification and analysis method in Embodiment 1. A set of program codes are stored in the memory 404, and the processor 401 calls the program codes stored in the memory 404 for executing the data watermark identification and analysis method in Embodiment 1. The communication bus 402 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus or the like. The communication bus 402 can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one line is shown in FIG. 5, but it does not mean that there is only one bus or one type of bus. The memory 404 may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviation: RAM); the memory may also include non-volatile memory (English: non-volatile memory) memory), such as flash memory (English: flash memory), hard disk (English: hard disk drive, abbreviation: HDD) or solid-state drive (English: solid-state drive, abbreviation: SSD); the memory 404 may also include the above types combination of memory. The processor 401 may be a central processing unit (English: central processing unit, abbreviation: CPU), a network processor (English: network processor, abbreviation: NP), or a combination of CPU and NP.

The memory 404 may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviation: RAM); the memory may also include non-volatile memory (English: non-volatile memory) memory), such as flash memory (English: flash memory), hard disk (English: hard diskdrive, abbreviation: HDD) or solid-state drive (English: solid-state drive, abbreviation: SSD); the memory 404 may also include the above-mentioned types of memory The combination.

The processor 401 may be a central processing unit (English: central processing unit, abbreviation: CPU), a network processor (English: network processor, abbreviation: NP), or a combination of CPU and NP.

The processor 401 may further include a hardware chip. The above-mentioned hardware chip may be an application-specific integrated circuit (English: application-specific integrated circuit, abbreviation: ASIC), a programmable logic device (English: programmable logic device, abbreviation: PLD) or a combination thereof. The above-mentioned PLD may be a complex programmable logic device (English: complex programmable logic device, abbreviation: CPLD), a field programmable gate array (English: field-programmable gate array, abbreviation: FPGA), a general array logic (English: generic arraylogic , abbreviation: GAL) or any combination thereof.

Optionally, memory 404 is also used to store program instructions. The processor 401 may invoke program instructions to implement the data watermark identification and analysis method as in the first embodiment of the present application.

Embodiments of the present invention further provide a computer-readable storage medium, where computer-executable instructions are stored on the computer-readable storage medium, and the computer-executable instructions can execute the data watermark identification and analysis method in Embodiment 1. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a flash memory (Flash Memory), a hard disk (Hard) Disk Drive, abbreviation: HDD) or solid-state drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memories.

Obviously, the above-mentioned embodiments are only examples for clear description, and are not intended to limit the implementation manner. For those of ordinary skill in the art, changes or modifications in other different forms can also be made on the basis of the above description. There is no need and cannot be exhaustive of all implementations here. However, the obvious changes or changes derived from this are still within the protection scope of the present invention.

Claims (10)

1. a data watermark identification analysis method, is characterized in that, comprises: Acquiring the data content to be identified, the data content to be identified includes: at least one single piece of data; Classify according to the content of the data to be identified, and generate at least one semantic segment; Generate a semantic library according to different semantic segments; A single piece of data in the data content to be identified is matched with a semantic segment in the semantic database, and data that cannot be matched with the semantic segment in the semantic database is marked as a data watermark. 2 . The data watermark identification and analysis method according to claim 1 , wherein the content of the data to be identified is obtained as a total set of input data with the same grammatical structure. 3 . 3. The data watermark identification and analysis method according to claim 1 or 2, wherein at least one semantic segment is generated by classifying the same field and the position of the same field in the data content to be identified. 4. The method for identifying and analyzing data watermarks according to claim 3, wherein the classification is performed according to the same field and the position of the same field in the data content to be identified, and at least one semantic segment is generated, comprising: Determining that the number of repeated fields in the data content to be identified is greater than or equal to the first preset value as the same field, and count the same field and the field position of the same field; Delete the same fields whose number is less than the second preset value, and keep the same fields whose number is greater than or equal to the second preset value; According to the sequence position of a single piece of data in the data content to be identified, the same fields that are retained are sorted by sequence position to generate at least one semantic segment. 5. The method for identifying and analyzing data watermarks according to claim 4, wherein the single piece of data in the data content to be identified is matched with the semantic segment in the semantic library, and cannot be matched with the semantic segment in the semantic library After the step of marking the data as a data watermark, the method further includes: returning the content and position marked as a data watermark. 6 . The data watermark identification and analysis method according to claim 1 , wherein the data content to be identified comprises: at least one of text and character strings. 7 . 7. A data watermark identification and analysis system, characterized in that, comprising: a data acquisition module, configured to acquire the content of the data to be identified, the content of the data to be identified includes: at least one single piece of data; A semantic segment generation module, configured to classify according to the content of the data to be identified, and generate at least one semantic segment; The lexicon segment generation module is used to generate a semantic library according to different semantic segments; The data watermark recognition module is used to match a single piece of data in the data content to be recognized with a semantic segment in the semantic database, and mark the data that cannot be matched with the semantic segment in the semantic database as a data watermark. 8. data watermark identification analysis system according to claim 7, is characterized in that, also comprises: The data watermark content and position acquisition module is used to return the content and position marked as data watermark. 9. A terminal, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, The instructions are executed by the at least one processor, so that the at least one processor executes the data watermark identification and analysis method according to any one of claims 1-6. 10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to perform the data watermark identification according to any one of claims 1-6 Analytical method.

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