CN113159487A - Power data management method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a power data management method, a device, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring current power data and a data service scene corresponding to the current power data; extracting data characteristics of current power data; determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data; and managing the current power data according to the data grade and the data service scene corresponding to the current power data. According to the method provided by the scheme, the current electric power data are classified, and corresponding data management measures are taken in combination with the data service scene of the current electric power data, so that the safety of the current electric power data is guaranteed, and a foundation is laid for improving the safety of an electric power system.
Description
Technical Field
The present application relates to the field of power data security technologies, and in particular, to a power data management method and apparatus, an electronic device, and a storage medium.
Background
With the development of information technology, the number of network devices in an electric power system is increasing, and the types and the number of electric power data are increasing, so that a high-performance and low-cost intelligent data management technology has become a research hotspot. The current power system can be used for data access and service application of various users in different departments, posts and levels.
However, while the power data resources are shared and opened, and efficient service operation is guaranteed, the highly sensitive power data is also placed in a complex environment of data access, use and sharing, so that the security of the power data cannot be guaranteed. Therefore, an electric power data management method capable of guaranteeing data security is urgently needed, and has an important significance for improving the security of an electric power system.
Disclosure of Invention
The application provides a power data management method, a power data management device, an electronic device and a storage medium, which are used for overcoming the defects of low safety and the like in the prior art.
A first aspect of the present application provides a power data management method, including:
acquiring current power data and a data service scene corresponding to the current power data;
extracting data characteristics of the current power data;
determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data;
and managing the current power data according to the data grade corresponding to the current power data and the data service scene.
Optionally, the determining, according to the data feature corresponding to the current power data, the data class corresponding to the current power data includes:
acquiring a data classification model;
determining a data category corresponding to the current power data according to the data characteristics of the current power data by using the data classification model;
and determining the data grade corresponding to the current power data according to the data type corresponding to the current power data.
Optionally, the determining, according to the data category corresponding to the current power data, a data class corresponding to the current power data includes:
determining a data value score value and a data leakage influence score value corresponding to the current power data according to the data characteristics of the current power data;
and determining the data grade corresponding to the current power data according to the data value scoring value corresponding to the current power data and the data leakage influence scoring value.
Optionally, the determining, according to the data value score value corresponding to the current power data and the data leakage influence score value, a data grade corresponding to the current power data includes:
and determining the data grade corresponding to the current power data according to the data value score value, the data leakage influence score value and a preset influence factor corresponding to the current power data.
Optionally, the determining, according to the data value score value, the data leakage influence score value, and the preset influence factor corresponding to the current power data, the data grade corresponding to the current power data includes:
determining a data grade value of the current power data according to a data value score value, a data leakage influence score value and a preset influence factor corresponding to the current power data;
and determining the data grade corresponding to the current power data according to the data grade value of the current power data.
Optionally, the determining a data level value of the current power data according to the data value score value, the data leakage influence score value and the preset influence factor corresponding to the current power data includes:
calculating a data level value of the current power data according to the following formula:
L＝a*v+(1-a)*i
wherein L represents the data level value, a represents the influence factor, v represents the data leakage influence score value, and i represents the data value score value.
Optionally, the managing the current power data according to the data grade corresponding to the current power data and the data service scenario includes:
and determining the process management measures and the protection measures of the current electric power data according to the data grade and the data service scene corresponding to the current electric power data.
A second aspect of the present application provides a power data management apparatus, including:
the acquisition module is used for acquiring the current power data and the corresponding data service scene;
the determining module is used for extracting data characteristics of the current power data;
the grading module is used for determining the data grade corresponding to the current electric power data according to the data characteristics corresponding to the current electric power data;
and the management module is used for managing the current electric power data according to the data grade corresponding to the current electric power data and the data service scene.
Optionally, the determining, according to the data feature corresponding to the current power data, the data class corresponding to the current power data includes:
acquiring a data classification model;
determining a data category corresponding to the current power data according to the data characteristics of the current power data by using the data classification model;
and determining the data grade corresponding to the current power data according to the data type corresponding to the current power data.
Optionally, the grading module is specifically configured to:
determining a data value score value and a data leakage influence score value corresponding to the current power data according to the data characteristics of the current power data;
and determining the data grade corresponding to the current power data according to the data value scoring value corresponding to the current power data and the data leakage influence scoring value.
Optionally, the grading module is specifically configured to:
and determining the data grade corresponding to the current power data according to the data value score value, the data leakage influence score value and a preset influence factor corresponding to the current power data.
Optionally, the grading module is specifically configured to:
determining a data grade value of the current power data according to a data value score value, a data leakage influence score value and a preset influence factor corresponding to the current power data;
and determining the data grade corresponding to the current power data according to the data grade value of the current power data.
Optionally, the grading module is specifically configured to:
calculating a data level value of the current power data according to the following formula:
L＝a*v+(1-a)*i
wherein L represents the data level value, a represents the influence factor, v represents the data leakage influence score value, and i represents the data value score value.
Optionally, the management module is specifically configured to:
and determining the process management measures and the protection measures of the current electric power data according to the data grade and the data service scene corresponding to the current electric power data.
A third aspect of the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored by the memory to cause the at least one processor to perform the method as set forth in the first aspect above and in various possible designs of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, implement a method as set forth in the first aspect and various possible designs of the first aspect.
This application technical scheme has following advantage:
according to the power data management method, the power data management device, the electronic equipment and the storage medium, the current power data and the corresponding data service scene are obtained; extracting data characteristics of current power data; determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data; and managing the current power data according to the data grade and the data service scene corresponding to the current power data. According to the method provided by the scheme, the current electric power data are classified, and corresponding data management measures are taken in combination with the data service scene of the current electric power data, so that the safety of the current electric power data is guaranteed, and a foundation is laid for improving the safety of an electric power system.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art according to these drawings.
Fig. 1 is a schematic structural diagram of a power data management system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a data management method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating an exemplary power data management method according to an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart diagram illustrating another exemplary power data management method provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electric power data management apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The current power system can be used for data access and service application of various users in different departments, posts and levels. However, while the power data resources are shared and opened, and efficient service operation is guaranteed, the highly sensitive power data is also placed in a complex environment of data access, use and sharing, so that the security of the power data cannot be guaranteed.
In order to solve the above problems, the power data management method, the power data management device, the electronic device, and the storage medium provided by the embodiments of the application acquire current power data and a data service scenario corresponding to the current power data; extracting data characteristics of current power data; determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data; and managing the current power data according to the data grade and the data service scene corresponding to the current power data. According to the method provided by the scheme, the current electric power data are classified, and corresponding data management measures are taken in combination with the data service scene of the current electric power data, so that the safety of the current electric power data is guaranteed, and a foundation is laid for improving the safety of an electric power system.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
First, a configuration of a power data management system according to the present application will be described:
the power data management method and device, the electronic device and the storage medium provided by the embodiment of the application are suitable for managing power data in a power system. As shown in fig. 1, the schematic structural diagram of an electric power data management system according to an embodiment of the present application is mainly composed of an electric power system, a data acquisition device, and an electric power data management device for managing electric power data. Specifically, the data acquisition device is used for acquiring power data in the power system, the acquired current power data is sent to the power data management device, and the power data management device is used for managing the acquired power data.
The embodiment of the application provides a power data management method, which is used for managing power data in a power system. The execution subject of the embodiment of the present application is an electronic device, such as a server, a desktop computer, a notebook computer, a tablet computer, and other electronic devices that can be used for data management.
As shown in fig. 2, a schematic flow chart of a data management method provided in an embodiment of the present application is shown, where the method includes:
It should be explained that the data service scenario may refer to a generation scenario and a receiving scenario of the current power data, and specifically embodies a service application scenario of the current power data. For example: the current power data is user registration information sent to a certain user by an administrator in the power system, and then the corresponding data service scene is sent to the certain user by the administrator.
Specifically, the data characteristics corresponding to the current power data may be determined according to the communication protocol, the field content, the service attribute, and the scene attribute of the current power data.
Specifically, a common feature extraction method may be used to extract a corresponding communication protocol, field content, and the like from the obtained power data. Further, according to the data service scene of the current power data, the service attribute and the scene attribute corresponding to the current power data are determined.
Specifically, the interactive device of the current power data may be determined according to a communication protocol of the current power data; determining the data type of the current power data according to the field content of the current power data; and further determining the data characteristics corresponding to the current power data by combining the service attribute and the scene attribute corresponding to the current power data.
Illustratively, field contents such as a mobile phone number, an identification card number, a bank card number and the like in the current power data can be identified by using a preset regular expression; and identifying a business license, an identity card image and the like in the current power data by using a common image identification technology, and further determining the corresponding data type. And integrating the communication protocol, the field content, the service attribute and the scene attribute of the current power data to determine the data characteristics of the current power data.
Specifically, the data category of the current power data may be determined according to the data feature corresponding to the current power data, and the data class corresponding to the current power data may be further determined according to the corresponding relationship between each data category and the data class.
And 204, managing the current power data according to the data grade and the data service scene corresponding to the current power data.
Specifically, in an embodiment, in order to improve the management efficiency of the power data management method provided in the embodiment of the present application to meet the data management requirement of the current power data, the process management measures and the protection measures of the current power data may be determined according to the data class and the data service scenario corresponding to the current power data.
Specifically, the data management requirement of the current power data may be determined according to the data class and the data service scenario corresponding to the current power data, and further, according to the data management requirement and the data management policy of the current power data, the process management measures such as a data approver, a data security manager, an approval process and the like corresponding to the current power data are determined, and the protection measures such as encryption, desensitization, watermarking and the like which may improve the security of the current power data are determined.
According to the embodiment of the application, for the electric power data of different data levels, data management measures (flow management measures and protection measures) corresponding to the data levels are adopted, the hierarchical management and difference management of the electric power data are realized, the safety of the electric power data is improved, and meanwhile, the data management efficiency is guaranteed.
On the basis of the foregoing embodiment, in order to improve the reliability of the data classification result provided by the foregoing embodiment, in an embodiment, the determining a data classification corresponding to current power data according to a data feature corresponding to the current power data includes:
step 2031, acquiring a data classification model;
step 2032, determining a data type corresponding to the current power data according to the data characteristics of the current power data by using the data classification model;
step 2033, determining a data grade corresponding to the current power data according to the data type corresponding to the current power data.
Specifically, the obtained data classification model may be constructed according to data classification rules by using algorithms such as machine learning and artificial intelligence. And determining a data category corresponding to the current power data by inputting the current power data into the data classification model.
The data categories may include transaction tickets, bulletin boards, notices, etc.
Fig. 3 is a schematic flowchart illustrating an exemplary power data management method according to an embodiment of the present disclosure. Wherein, personnel, finance, materials and customers corresponding to the current power data can be used as a first class in data classification. The data management method shown in fig. 3 is an exemplary implementation of the data management method shown in fig. 2, and the principle is the same, and is not described herein again.
On the basis of the above embodiment, in order to further improve the reliability of the data classification result provided by the above embodiment, the method is an implementable manner, and in an embodiment, the data value score value and the data leakage influence score value corresponding to the current power data may be determined according to the data characteristics of the current power data; and determining the data grade corresponding to the current power data according to the data value scoring value and the data leakage influence scoring value corresponding to the current power data.
Specifically, the data value score value may be determined using a preset data value evaluation rule, and the data leakage influence score value may be determined using a preset data leakage influence evaluation rule.
It should be explained that the data value evaluation rule mainly considers the value of the current power data to the country, the equipment order and the public interest, the value to the enterprise and the value to the user, etc. The data leakage influence evaluation rule mainly considers the influence on the country, social order and public benefits, the influence on enterprise benefits and the influence on user benefits if the current power data have data leakage. Specifically, the data value evaluation rule and the data leakage influence evaluation rule may also be set and adjusted in combination with the actual situation, and the embodiment of the present application is not limited specifically.
The influence on the national security and the public interest of the society needs to consider the influence degree of the possible consequences on the national security and the public interest of the society, which is caused by the data once being disclosed, lost, abused, tampered and destroyed without authorization. The influence on the benefits of enterprises should be considered to the influence on production business after the occurrence of security events; accounting for financial losses incurred after data security events occur. Such as direct losses (revenue damage, fines, payments, or other resource losses, etc.) and recovery costs (such as capital or labor costs involved in recovering data, recovering business, eliminating impacts, pacifying/recovering customers, etc.), etc.; the reputation, which is known by the outside world after the security incident occurs, is damaged, such as the trust level of the client, the image of the company, the social recognition of the industry reputation, and the like. The influence on the interests of the user is considered to be the influence on the property, reputation, living state, physiology, psychology and the like of the user after the occurrence of the security event.
Further, in an embodiment, the data grade corresponding to the current power data may be determined according to the data value score value, the data leakage influence score value and the preset influence factor corresponding to the current power data.
The influence factor specifically refers to a weight corresponding to the data leakage influence score value corresponding to the current power data, so as to control the influence of the data value score value and the data leakage influence score value of the current data on the data grading result, and thus the data grading result more conforming to the actual situation is obtained.
Specifically, in an embodiment, the data level value of the current power data may be determined according to a data value score value, a data leakage influence score value and a preset influence factor corresponding to the current power data; and determining the data grade corresponding to the current power data according to the data grade value of the current power data.
Specifically, corresponding data level values may be set for different data levels to improve data classification efficiency and reliability of data classification results.
Further, in one embodiment, the data level value of the current power data may be calculated according to the following formula:
L＝a*v+(1-a)*i
where L represents a data level value, a represents an influence factor, v represents a data leakage influence score value, and i represents a data value score value.
For example, the data level value may belong to the interval [1,10], and when L ≧ 9, the current power data is determined to be sensitive data; when L is more than or equal to 6 and less than 9, determining the current power data as important data; when L <6, the current power data is determined to be normal data.
It should be explained that the data value score depends on the value of the data to the objects of the country, the society, the enterprise, the individual and the like, and the value is given by 1-10 in a comprehensive way, and the higher the score is, the higher the value is. Similarly, the data leakage influence score depends on the influence on the safety attributes (confidentiality, integrity and availability) of the data when the safety attributes are damaged, including national safety and social public interests, enterprise interests and user interests, and the value score i of given data is 1-10 in a comprehensive mode, and the influence degree is higher as the score is higher.
Fig. 4 is a schematic flowchart of another exemplary power data management method provided in an embodiment of the present application. The data management method shown in fig. 4 is another exemplary implementation of the data management method shown in fig. 2, and the principle is the same, and is not described herein again.
According to the power data management method provided by the embodiment of the application, the current power data and the corresponding data service scene are obtained; extracting data characteristics of current power data; determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data; and managing the current power data according to the data grade and the data service scene corresponding to the current power data. According to the method provided by the scheme, the current electric power data are classified, and corresponding data management measures are taken in combination with the data service scene of the current electric power data, so that the safety of the current electric power data is guaranteed, and a foundation is laid for improving the safety of an electric power system. In addition, the data value scoring value and the data leakage influence scoring value of the current power data are comprehensively considered during data grading, the reliability of the data grading result is guaranteed, and a foundation is laid for improving the data management efficiency.
The embodiment of the application provides a power data management device, which is used for executing the power data management method provided by the embodiment.
Fig. 5 is a schematic structural diagram of an electric power data management apparatus according to an embodiment of the present application. The power data management apparatus 50 includes an acquisition module 501, a determination module 502, a classification module 503, and a management module 504.
The acquisition module is used for acquiring current power data and a data service scene corresponding to the current power data; the determining module is used for extracting the data characteristics of the current power data; the grading module is used for determining the data grade corresponding to the current power data according to the data characteristics corresponding to the current power data; and the management module is used for managing the current electric power data according to the data grade and the data service scene corresponding to the current electric power data.
Specifically, in an embodiment, determining a data level corresponding to the current power data according to a data feature corresponding to the current power data includes:
acquiring a data classification model;
determining a data category corresponding to the current power data according to the data characteristics of the current power data by using a data classification model;
and determining the data grade corresponding to the current power data according to the data type corresponding to the current power data.
Specifically, in an embodiment, the classification module is specifically configured to:
determining a data value score value and a data leakage influence score value corresponding to the current power data according to the data characteristics of the current power data;
and determining the data grade corresponding to the current power data according to the data value scoring value and the data leakage influence scoring value corresponding to the current power data.
Specifically, in an embodiment, the classification module is specifically configured to:
and determining the data grade corresponding to the current power data according to the data value score value, the data leakage influence score value and the preset influence factor corresponding to the current power data.
Specifically, in an embodiment, the classification module is specifically configured to:
determining a data grade value of the current power data according to a data value score value, a data leakage influence score value and a preset influence factor corresponding to the current power data;
and determining the data grade corresponding to the current power data according to the data grade value of the current power data.
Specifically, in an embodiment, the classification module is specifically configured to:
calculating a data level value of the current power data according to the following formula:
L＝a*v+(1-a)*i
where L represents a data level value, a represents an influence factor, v represents a data leakage influence score value, and i represents a data value score value.
Specifically, in an embodiment, the management module is specifically configured to:
and determining the process management measures and the protection measures of the current power data according to the data grade and the data service scene corresponding to the current power data.
With regard to the power data management apparatus in the present embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The power data management device provided in the embodiment of the present application is configured to execute the power data management method provided in the foregoing embodiment, and an implementation manner and a principle thereof are the same and are not described again.
The embodiment of the application provides electronic equipment for executing the power data management method provided by the embodiment.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 60 includes: at least one processor 61 and memory 62;
the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored by the memory, causing the at least one processor to perform the power data management method provided by the above embodiments.
The electronic device provided in the embodiment of the present application is configured to execute the power data management method provided in the above embodiment, and an implementation manner and a principle of the electronic device are the same and are not described again.
The embodiment of the application provides a computer-readable storage medium, wherein a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the power data management method provided by any one of the above embodiments is implemented.
The storage medium including the computer-executable instructions of the embodiment of the present application may be used to store the computer-executable instructions of the power data management method provided in the foregoing embodiment, and the implementation manner and the principle thereof are the same and are not described again.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A power data management method, comprising:
acquiring current power data and a data service scene corresponding to the current power data;
extracting data characteristics of the current power data;
determining a data grade corresponding to the current power data according to the data characteristics corresponding to the current power data;
and managing the current power data according to the data grade corresponding to the current power data and the data service scene.
2. The method of claim 1, wherein the determining the data grade corresponding to the current power data according to the data feature corresponding to the current power data comprises:
acquiring a data classification model;
determining a data category corresponding to the current power data according to the data characteristics of the current power data by using the data classification model;
and determining the data grade corresponding to the current power data according to the data type corresponding to the current power data.
3. The method of claim 2, wherein the determining the data class corresponding to the current power data according to the data category corresponding to the current power data comprises:
determining a data value score value and a data leakage influence score value corresponding to the current power data according to the data characteristics of the current power data;
and determining the data grade corresponding to the current power data according to the data value scoring value corresponding to the current power data and the data leakage influence scoring value.
4. The method according to claim 3, wherein the determining the data grade corresponding to the current power data according to the data value scoring value and the data leakage influence scoring value corresponding to the current power data comprises:
and determining the data grade corresponding to the current power data according to the data value score value, the data leakage influence score value and a preset influence factor corresponding to the current power data.
5. The method according to claim 4, wherein the determining the data grade corresponding to the current power data according to the data value score value, the data leakage influence score value and the preset influence factor corresponding to the current power data comprises:
determining a data grade value of the current power data according to a data value score value, a data leakage influence score value and a preset influence factor corresponding to the current power data;
and determining the data grade corresponding to the current power data according to the data grade value of the current power data.
6. The method according to claim 5, wherein the determining the data level value of the current power data according to the data value score value, the data leakage influence score value and the preset influence factor corresponding to the current power data comprises:
calculating a data level value of the current power data according to the following formula:
L＝a*v+(1-a)*i
wherein L represents the data level value, a represents the influence factor, v represents the data leakage influence score value, and i represents the data value score value.
7. The method according to claim 1, wherein the managing the current power data according to the data class corresponding to the current power data and the data service scenario includes:
and determining the process management measures and the protection measures of the current electric power data according to the data grade and the data service scene corresponding to the current electric power data.
8. An electric power data management apparatus, characterized by comprising:
the acquisition module is used for acquiring the current power data and the corresponding data service scene;
the determining module is used for extracting data characteristics of the current power data;
the grading module is used for determining the data grade corresponding to the current electric power data according to the data characteristics corresponding to the current electric power data;
and the management module is used for managing the current electric power data according to the data grade corresponding to the current electric power data and the data service scene.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1 to 7.
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