Method and system for managing infringement-related data

Abstract

The invention discloses an infringement-related data management method and system, and the method comprises the steps: firstly obtaining initial data, and dividing the data classification types of the initial data; wherein the data classification type comprises a first data type involving infringement and a second data type not involving infringement; and in response to the fact that the data classification type is a first infringement-related data type, sending the initial data to an infringement-related data processing system of a corresponding encryption environment for management through a preset data transmission channel subjected to encryption authentication. According to the infringement-related data management method, the problems in the prior art are solved, and a more efficient and safer infringement-related data management mode is provided.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and in particular to a method and system for managing infringement-related data. Background Art

[0002] With the rapid development of Internet technology, the amount of data generated, stored, transmitted and processed has exploded. In this context, data management and protection has become a crucial issue. Especially in the field of data privacy, how to effectively manage and protect infringing data and prevent it from being illegally used or leaked has become a focus of current technological development.

[0003] Traditionally, data management mainly relies on simple classification and storage mechanisms, lacking special processing for infringement-related data. This management approach is inadequate in the face of increasingly complex infringements and diverse data types. On the one hand, the lack of an effective data classification mechanism causes the mixing of infringement-related data with non-infringement-related data, making it difficult to effectively manage and monitor; on the other hand, the lack of necessary security measures during data transmission and processing increases the risk of data leakage and illegal use, which has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for managing infringing data to solve the deficiencies in the prior art. It aims to solve the problems existing in the prior art by providing a method for managing infringing data to provide a more efficient and secure way of managing infringing data.

[0005] An embodiment of the present application provides a method for managing infringement-related data, the method comprising: Acquire initial data, and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; In response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment for management through a preset encrypted and authenticated data transmission channel.

[0006] Optionally, the method further includes: If the data classification type is a second data type that does not involve infringement, determining a current data management level of the initial data; According to the current data management level, the initial data is stored in a data space corresponding to the current data management level and then preprocessed.

[0007] Optionally, the acquiring of initial data and classifying the initial data into data classification types includes: Periodically collect and mark the initial data to be processed; Perform deduplication processing based on identification information of initial data; Divide the initial data after deduplication into several groups of keywords and calculate the hash value of each group of keywords; A classification index is established according to the hash value of each group of keywords to determine the data classification type of the initial data.

[0008] Optionally, dividing the deduplicated initial data into a plurality of groups of keywords and calculating the hash value of each group of keywords includes: Build a data pre-partitioning model, extract several groups of keywords from the initial data after deduplication through natural language processing technology, and import them into the data pre-partitioning model; The corresponding character strings of several groups of imported keywords are extracted through the data pre-partitioning model, and the character strings are hashed using a preset hash function to obtain the hash value of each group of keywords.

[0009] Optionally, the infringing data processing system periodically updates the encryption authentication environment according to the infringing first data type; wherein the updating of the encryption authentication environment is based on quantum key distribution technology and SM2 public key cryptography algorithm.

[0010] Optionally, the infringement data processing system includes: The communication connection data receiving and verification module, data classification and marking module, data encryption and storage module and infringement analysis and assessment module include: The data receiving and verification module is used to receive the initial data involving infringement transmitted through a preset data transmission channel with encryption authentication; The data classification and marking module is used to subdivide and mark the received initial data involving infringement, and assign a unique identifier to each piece of data; The data encryption and storage module is used to encrypt the classified initial data involving infringement; the encryption process includes regular key updates and encryption and decryption algorithm updates; The infringement analysis and evaluation module is used to analyze and evaluate the encrypted and stored initial infringement data to determine the nature and consequences of the infringement behavior.

[0011] Another embodiment of the present application provides a data management system involving infringement, the system comprising: An acquisition module, used to acquire initial data and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; The response module is used for sending the initial data to the infringement data processing system corresponding to the encryption environment for management through the preset encrypted authenticated data transmission channel in response to the data classification type being the first infringement-related data type.

[0012] Optionally, the system further includes: a determination module, configured to determine a current data management level of the initial data if the data classification type is a second data type not involving infringement; The execution module is used to perform preprocessing after storing the initial data in a data space corresponding to the current data management level according to the current data management level.

[0013] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to implement any of the above methods when executed.

[0014] Another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement any of the above methods.

[0015] Compared with the prior art, the present invention first obtains initial data and divides the data classification types of the initial data; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; in response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment through a preset data transmission channel with encryption authentication for management. It aims to solve the problems existing in the prior art by providing a method for managing infringement data, so as to provide a more efficient and secure way of managing infringement data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A hardware structure block diagram of a computer terminal for a method for managing infringing data provided by an embodiment of the present invention; Figure 2 A flowchart of a method for managing infringement-related data provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an infringement data management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0018] The embodiment of the present invention first provides a method for managing infringement-related data, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers, tablets, etc.

[0019] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for a method for managing infringing data provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0020] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the infringing data management methods.

[0021] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0022] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any infringing data management method.

[0023] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0024] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0025] See also Figure 2 , Figure 2A flowchart of a method for managing infringement data provided by an embodiment of the present invention may include the following steps: S201: Acquire initial data, and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement.

[0026] Specifically, the acquiring of initial data and classification of the initial data into data classification types may include: 1. Periodically collect and identify the initial data to be processed; 2. Perform deduplication processing based on the identification information of the initial data; 3. Divide the initial data after deduplication into several groups of keywords and calculate the hash value of each group of keywords; 4. Establish a classification index based on the hash value of each group of keywords to determine the data classification type of the initial data.

[0027] Exemplarily, a fixed time interval (such as daily, weekly or monthly) is set to collect new initial data. While collecting data, a unique identifier (such as ID, timestamp, etc.) is assigned to each data set or data entry, which helps to track and reference the data in subsequent processing steps. Since periodic collection may result in data duplication, identification information is needed to identify and delete duplicate data entries, such as by comparing the data identifier, content, or a combination of the two.

[0028] It should be noted that when performing deduplication processing, it is necessary to ensure that data with different meanings but similar content is not deleted by mistake.

[0029] Divide the deduplicated initial data into several groups of keywords and calculate the hash value of each group of keywords. The deduplicated data is divided into smaller units, usually based on keywords or phrases in the data content. For each group of keywords, a unique hash value is calculated using a hash function, which can be used to quickly retrieve and verify the integrity of the data. A classification index is established based on the hash value of each group of keywords to determine the data classification type of the initial data. Using the hash value as the index key, each group of keywords is associated with its corresponding classification type (such as the first data type involving infringement and the second data type involving no infringement), which can form a classification index table or database.

[0030] When you need to determine the classification type of a data entry, you can calculate the hash value of its keyword and look up the corresponding classification type in the classification index.

[0031] It should be noted that hash functions can include MD5, SHA-1, SHA-256, etc. The selection of keywords can be based on the characteristics of the data and classification requirements. For text data, natural language processing technology can be used to extract keywords; for other types of data (such as images, audio, etc.), specific feature extraction methods are required.

[0032] In an optional implementation, dividing the deduplicated initial data into a plurality of groups of keywords and calculating the hash value of each group of keywords may include: Step 1: Build a data pre-partitioning model, extract several groups of keywords from the initial data after deduplication through natural language processing technology, and import them into the data pre-partitioning model; Step 2: Use the data pre-partitioning model to extract the corresponding character strings for the imported groups of keywords, and use the preset hash function to perform hash operations on the character strings to obtain the hash value of each group of keywords.

[0033] Specifically, the data pre-partitioning model can be a framework for processing and preparing data, which can extract useful information, such as keywords, from the original data to facilitate subsequent classification, indexing or analysis.

[0034] Natural language processing (NLP) is a field of computer science used to understand and process human language (such as text). It includes technologies such as word segmentation, part-of-speech tagging, named entity recognition, and keyword extraction. For example, in the keyword extraction step, it can be achieved through existing NLP libraries (such as NLTK, SpaCy, TextBlob, etc.) or custom keyword extraction algorithms. That is:

[0035] NLP(initial_data)→keywords NLP stands for natural language processing or algorithm, initial_data stands for the initial data after deduplication, and keywords stands for the set of keywords extracted from the initial data.

[0036] The extracted keywords will be used as the output of the data pre-partitioning model and used for subsequent hash value calculations. The extracted keywords are then imported into the data pre-partitioning model and further string processing is performed (such as removing stop words, stemming, word form restoration, etc.) to optimize subsequent hash operations, namely:

[0037] Model(keywords)→strings Model represents the data pre-partitioning model, and strings represents the set of strings extracted from keywords. These strings can be the keywords themselves, or some transformation or combination of the keywords.

[0038] The processed string is then used as the input for the hash operation. Finally, a hash function (such as MD5, SHA-1, SHA-256, etc.) is selected to perform a hash operation on the processed string to obtain the hash value of each group of keywords. The hash value will be used as the final output and used for subsequent data classification, indexing or retrieval, that is, the preset hash function H is used to calculate its hash value:

[0039] H(string)=hash_value Among them, H represents the hash function, string is the string extracted from the data pre-partitioning model, and hash_value represents the calculated hash value.

[0040] S202: In response to the data classification type being a first data type involving infringement, the initial data is sent to an infringement data processing system corresponding to an encryption environment for management via a preset encrypted and authenticated data transmission channel.

[0041] First, the data is classified through the above steps to determine whether it belongs to the first type of data involving infringement.

[0042] Once the data is determined to be of an infringing type, it needs to be transmitted through a preset data transmission channel with encryption authentication. Encryption authentication ensures the security and integrity of the data during transmission and prevents the data from being stolen or tampered with by unauthorized third parties. Under the protection of encryption authentication, the initial data is transmitted through a preset data transmission channel, where the preset data transmission channel is a dedicated, physically isolated data transmission network. The data is sent to the infringing data processing system, which is located in a specific encrypted environment, which can be a physically isolated data center or a virtual environment protected by advanced encryption technology.

[0043] It should be noted that the infringing data processing system regularly updates the encryption authentication environment according to the infringing first data type; wherein the update of the encryption authentication environment is based on quantum key distribution technology and SM2 public key cryptography algorithm.

[0044] In the data processing system involving infringement, the combination of quantum key distribution technology and SM2 public key cryptography algorithm can achieve a more secure and reliable encryption and authentication environment. By generating a secure key through quantum key distribution technology and then using SM2 public key cryptography algorithm for encryption and authentication, the security and integrity of the infringing data during transmission can be ensured. At the same time, regularly updating the encryption and authentication environment can respond to changing security threats and improve the overall security of the system.

[0045] In summary, the infringing data processing system achieves efficient and secure processing of infringing data by combining quantum key distribution technology and SM2 public key cryptography algorithm.

[0046] In an optional implementation, the infringement data processing system may include: The communication connection data receiving and verification module, data classification and marking module, data encryption and storage module and infringement analysis and assessment module include: The data receiving and verification module is used to receive the initial data involving infringement transmitted through a preset data transmission channel with encryption authentication; The data classification and marking module is used to subdivide and mark the received initial data involving infringement, and assign a unique identifier to each piece of data; The data encryption and storage module is used to encrypt the classified initial data involving infringement; the encryption process includes regular key updates and encryption and decryption algorithm updates; The infringement analysis and evaluation module is used to analyze and evaluate the encrypted and stored initial infringement data to determine the nature and consequences of the infringement behavior.

[0047] Specifically, the data receiving and verification module is responsible for receiving the initial data involved in infringement transmitted through the encrypted and authenticated preset data transmission channel. This means that the data has been encrypted during the transmission process and the security of the transmission channel has been verified. Data reception and verification is the first step to ensure data security. Through the encrypted and authenticated transmission channel, data can be effectively prevented from being stolen or tampered with during the transmission process.

[0048] The data classification and labeling module segments and labels the initial infringement data received and assigns a unique identifier to each piece of data. Through segmentation and labeling, we can more clearly understand the source, type, nature and other information of the data, providing a basis for subsequent analysis and evaluation.

[0049] The data encryption and storage module encrypts the classified initial data involved in infringement and stores the encrypted data. The encryption process may include regular key updates and encryption and decryption algorithm updates to ensure data security. In order to prevent the key from being cracked, the system will regularly update the key, which can be achieved through quantum key distribution technology or other advanced key distribution methods. With the development of technology, the encryption and decryption algorithm may have loopholes or the risk of being cracked. Therefore, the system will regularly update the encryption and decryption algorithm to ensure the encryption strength of the data. The encrypted data will be stored in a secure database for subsequent analysis and evaluation.

[0050] The infringement analysis and assessment module analyzes and assesses the encrypted and stored initial infringement data to determine the nature and consequences of the infringement. Through analysis and assessment, it can provide strong evidence and support for subsequent rights protection actions.

[0051] In summary, the infringement data processing system achieves comprehensive, efficient and secure processing of infringement data through the collaborative work of various modules, from data reception and verification to data encryption and storage, and then to infringement analysis and evaluation, to ensure the accuracy and security of data.

[0052] In an optional implementation, a method for managing infringement data may further include: S203: If the data classification type is a second data type that does not involve infringement, determine the current data management level of the initial data; S204: According to the current data management level, the initial data is stored in a data space corresponding to the current data management level and then preprocessed.

[0053] Specifically, for data classified as the second type of data that is not involved in infringement, the system will further determine its current data management level. The data management level can be set based on multiple factors such as the sensitivity, importance, and access rights of the data. For example, some data may be considered highly sensitive and require stricter management measures, while other data may be considered less sensitive and have relatively loose management requirements.

[0054] For example, it is determined based on factors such as the sensitivity, importance, and access rights of the data. Data management levels can include public, internal, and confidential levels, and each level corresponds to different storage requirements and access control policies. According to the determined data management level, select the corresponding storage location. For example, for public-level data, you can choose to store it in an easily accessible public storage area; for confidential-level data, you need to choose a storage device or system with higher security and take corresponding access control measures.

[0055] Before storing data in a designated location, you also need to ensure the security of the storage environment. For example, for sensitive data, use appropriate encryption algorithms to encrypt it to ensure the security of the data during transmission and storage; you can also set appropriate access rights to ensure that only authorized users can access and modify the data; or develop a backup strategy to ensure the reliability and recoverability of the data. At the same time, the recovery capability of the backup data should be tested regularly.

[0056] In a specific implementation, the method can be used to manage data involving minors, especially to process data involving infringement, so as to protect the legitimate rights and interests of minors. The following will describe in detail the various steps of the method, from the acquisition of data to the processing, storage, analysis and evaluation of the whole process.

[0057] First, set a fixed time interval (such as daily, weekly or monthly) to collect data involving minors from various sources (such as social media platforms, online forums, news reports, user reports, etc.). This data may include text, pictures, videos, etc. After the data is collected, it is deduplicated to eliminate duplicate data records and perform preliminary data cleaning to remove irrelevant information or noise data.

[0058] Use natural language processing technology (such as word segmentation, part-of-speech tagging, etc.) to extract keywords from the data. These keywords may involve the name, age, gender, behavior, environment, etc. of the minor. Perform a hash operation on the extracted keywords to generate a unique hash value, which is used for rapid retrieval and classification of data.

[0059] A classification index is established based on the hash value to divide the data into the first data type involved in infringement and the second data type not involved in infringement. For the data classified as the first data type involved in infringement, it is transmitted using a preset data transmission channel with encryption authentication, which includes using quantum key distribution technology to generate a secure key and encrypting it using the SM2 public key cryptography algorithm. The infringing data processing system receives the data transmitted through the encrypted channel and verifies it to ensure the integrity and authenticity of the data. The received data is further subdivided and marked in the system, a unique identifier is assigned to each piece of data, and its classification information is recorded. The classified data is encrypted, including using the latest encryption algorithm and regularly updating the key, and the encrypted data is stored in a secure data storage environment. Finally, the stored data is analyzed and evaluated to determine the nature, extent and possible impact of the infringement.

[0060] For data classified as the second data type that is not involved in infringement, its data management level is determined based on factors such as its content, source, and importance. For example, based on the data management level, the data is stored in the corresponding data space, and then the data is pre-processed, such as data cleaning, format conversion, etc., to improve the quality and availability of the data. The entire processing process is monitored in real time, including data collection, classification, processing, storage, and analysis. Ensure the stable operation of the system and the accurate processing of data, and finally regularly update the encryption authentication environment, including key updates, encryption algorithm updates, and system security upgrades. Ensure the security of data during transmission and storage.

[0061] Through the above steps, this embodiment achieves effective management of data involving minors. From data collection, classification, processing to storage and analysis and evaluation, data security is ensured through measures such as encrypted transmission and storage, and regular updates of the encrypted authentication environment. Therefore, this method is of great significance for protecting the legitimate rights and interests of minors.

[0062] Compared with the prior art, the present invention first obtains initial data and divides the data classification types of the initial data; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; in response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment through a preset data transmission channel with encryption authentication for management. It aims to solve the problems existing in the prior art by providing a method for managing infringement data, so as to provide a more efficient and secure way of managing infringement data.

[0063] Another embodiment of the present application provides a data management system involving infringement, such as Figure 3 The structural diagram of a data management system involving infringement is shown, and the system includes: The acquisition module 301 is used to acquire initial data and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; The response module 302 is used to send the initial data to the infringing data processing system in the corresponding encryption environment for management through the preset encrypted authenticated data transmission channel in response to the data classification type being the first infringing data type.

[0064] Specifically, the system further includes: a determination module, configured to determine a current data management level of the initial data if the data classification type is a second data type not involving infringement; The execution module is used to perform preprocessing after storing the initial data in a data space corresponding to the current data management level according to the current data management level.

[0065] Compared with the prior art, the present invention first obtains initial data and divides the data classification types of the initial data; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; in response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment through a preset data transmission channel with encryption authentication for management. It aims to solve the problems existing in the prior art by providing a method for managing infringement data, so as to provide a more efficient and secure way of managing infringement data.

[0066] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to implement the steps in the above method embodiment when running.

[0067] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201: Acquire initial data, and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; S202: In response to the data classification type being a first data type involving infringement, the initial data is sent to an infringement data processing system corresponding to an encryption environment for management via a preset encrypted and authenticated data transmission channel.

[0068] Specifically, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0069] Compared with the prior art, the present invention first obtains initial data and divides the data classification types of the initial data; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; in response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment through a preset data transmission channel with encryption authentication for management. It aims to solve the problems existing in the prior art by providing a method for managing infringement data, so as to provide a more efficient and secure way of managing infringement data.

[0070] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in the above method embodiment.

[0071] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0072] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201: Acquire initial data, and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; S202: In response to the data classification type being a first data type involving infringement, the initial data is sent to an infringement data processing system corresponding to an encryption environment for management via a preset encrypted and authenticated data transmission channel.

[0073] Compared with the prior art, the present invention first obtains initial data and divides the data classification types of the initial data; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; in response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment through a preset data transmission channel with encryption authentication for management. It aims to solve the problems existing in the prior art by providing a method for managing infringement data, so as to provide a more efficient and secure way of managing infringement data.

[0074] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0075] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] In the several embodiments provided by the present invention, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0077] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0079] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0080] The embodiments of the present invention are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for managing infringement data, characterized in that: The method comprises: Acquire initial data, and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; In response to the data classification type being the first data type involving infringement, the initial data is sent to the infringement data processing system corresponding to the encryption environment for management through a preset encrypted and authenticated data transmission channel.

2. The method according to claim 1, characterized in that The method further comprises: If the data classification type is a second data type that does not involve infringement, determining a current data management level of the initial data; According to the current data management level, the initial data is stored in a data space corresponding to the current data management level and then preprocessed.

3. The method according to claim 2, characterized in that The obtaining of initial data and classifying the initial data into data classification types includes: Periodically collect and mark the initial data to be processed; Perform deduplication processing based on identification information of initial data; Divide the initial data after deduplication into several groups of keywords and calculate the hash value of each group of keywords; A classification index is established according to the hash value of each group of keywords to determine the data classification type of the initial data.

4. The method according to claim 3, characterized in that The method of dividing the deduplicated initial data into several groups of keywords and calculating the hash value of each group of keywords includes: Build a data pre-partitioning model, extract several groups of keywords from the initial data after deduplication through natural language processing technology, and import them into the data pre-partitioning model; The corresponding character strings of several groups of imported keywords are extracted through the data pre-partitioning model, and the character strings are hashed using a preset hash function to obtain the hash value of each group of keywords.

5. The method according to claim 4, characterized in that The infringing data processing system periodically updates the encryption authentication environment according to the infringing first data type; wherein the updating of the encryption authentication environment is based on quantum key distribution technology and SM2 public key cryptography algorithm.

6. The method according to claim 5, characterized in that The infringing data processing system includes: The communication connection data receiving and verification module, data classification and marking module, data encryption and storage module and infringement analysis and assessment module include: The data receiving and verification module is used to receive the initial data involving infringement transmitted through a preset data transmission channel with encryption authentication; The data classification and marking module is used to subdivide and mark the received initial data involving infringement, and assign a unique identifier to each piece of data; The data encryption and storage module is used to encrypt the classified initial data involving infringement; the encryption process includes regular key updates and encryption and decryption algorithm updates; The infringement analysis and evaluation module is used to analyze and evaluate the encrypted and stored initial infringement data to determine the nature and consequences of the infringement behavior.

7. A data management system involving infringement, characterized in that: The system comprises: An acquisition module, used to acquire initial data and classify the initial data into data classification types; wherein the data classification types include a first data type involving infringement and a second data type not involving infringement; The response module is used for sending the initial data to the infringement data processing system corresponding to the encryption environment for management through the preset encrypted authenticated data transmission channel in response to the data classification type being the first infringement-related data type.

8. The system according to claim 7, characterized in that The system further comprises: a determination module, configured to determine a current data management level of the initial data if the data classification type is a second data type not involving infringement; The execution module is used to perform preprocessing after storing the initial data in a data space corresponding to the current data management level according to the current data management level.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to implement the method according to any one of claims 1 to 6 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the computer program to implement the method according to any one of claims 1 to 6.

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