Economic data management method and management system

Abstract

The invention relates to the technical field of data management, and discloses an economic data management method and system.The economic data management method comprises the steps that firstly, a work log of a cloud platform storing economic data is inquired, various real-time safety parameters of the economic data are obtained, whether safety risks exist in the economic data or not is judged according to the various real-time safety parameters, and if not, the economic data are stored; if the safety risk of the economic data is not found, historical data of various safety parameters of the economic data is obtained, and the safety risk of the economic data is further judged according to the change condition of the safety parameters in various data in the historical time period, so that the situation that the safety risk is misjudged due to the error of instantaneous data and the user experience is influenced is avoided; if yes, evaluating the potential safety of the economic data in the platform according to the change of the safety coefficient of the data in each time period in the historical time period, and ensuring the safety of the economic data in the platform.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an economic data management method and management system. Background Art

[0002] Economic data refers to various statistics and indicators that reflect the economic status of a country or region. These data are extremely important to government decision-makers, enterprises, investors and research institutions because they provide key information about economic health and development trends.

[0003] With the limitations of mobile storage devices and the rapid development of cloud platform technology, more and more enterprises and organizations choose to migrate economic data to cloud platforms. However, data management on cloud platforms faces many challenges, among which the most important one is to ensure the security of platform data, timely identify whether the data on the platform is risky, and take corresponding measures in time. Therefore, this application proposes an economic data management method and management system. Summary of the invention

[0004] The purpose of the present invention is to provide an economic data management method and management system to solve the above technical problems.

[0005] An economic data management method, the method comprising the following steps:

[0006] Step S1, query the work log of economic data in the data management platform to obtain various real-time security parameters of economic data;

[0007] Step S2: judging whether there is any security risk in the economic data in the platform database according to various real-time security parameters of the economic data; if not, proceeding to step S3;

[0008] Step S3, obtaining the time-varying data of each security parameter item in the historical time period;

[0009] Step S4: Divide the historical time period into m time periods, where m is the current time period, and calculate the economic data security risk coefficient of each time period;

[0010] Step S5: judging whether there is any security risk in the economic data in the platform database according to the security risk coefficient of the economic data in each time period; if not, proceeding to step S6;

[0011] Step S6, calculating the potential security risk coefficient of the system economic data according to the security risk coefficient of the economic data in each time period;

[0012] Step S7, judging whether the system economic data has potential risks according to the potential safety risk coefficient of the system economic data;

[0013] Step S8: If there is a security risk in the system, immediately isolate the risk, close the platform data access port, promptly inform the user and report to the relevant competent authorities, make rectifications as required to eliminate the security risk, and if there is a potential security risk in the system, increase the platform data access restrictions.

[0014] As a further description of the solution of the present invention, the working process of step S1 includes:

[0015] The security parameter values ​​of the data stored in the platform are numbered in the following order: 1, 2, ..., n;

[0016] Obtain the real-time value of each safety parameter and compare the real-time value of each safety parameter with the corresponding standard;

[0017] If there are real-time values ​​of security parameter items that do not meet the standards, it is judged that there are security risks in the economic data in the platform database;

[0018] If there is no real-time value of the security parameter item that does not meet the standard, the time-varying data of each security parameter item in the historical time period is obtained.

[0019] As a further description of the solution of the present invention, the working process of step S2 includes:

[0020] The historical time period is divided into m time periods, and the time variation curve of the i-th security parameter in the j-th time period is fitted according to the time variation data of each security parameter item in the historical time period, where j belongs to m and i belongs to n;

[0021] According to the time-varying curve of the ith security parameter in the jth time period, a mathematical model of the security risk coefficient of the economic data in the jth time period is constructed, and the expression is:

[0022] ;

[0023] In the formula, is the security risk coefficient of economic data in the jth time period, is the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis, is the standard area enclosed by the time-varying curve of the i-th safety parameter in the j-th time period and the x-axis, is the weight coefficient corresponding to the i-th safety parameter, It is the preset reference value for the difference between the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis and the standard area.

[0024] As a further description of the solution of the present invention, the working process of step S2 also includes:

[0025] Calculate the economic data security risk coefficients of m time periods in sequence, respectively , ,… ,… ,in, is the economic data security risk coefficient for the current time period;

[0026] Compare the security risk coefficients of economic data in each time period with the corresponding standards;

[0027] If there is a security risk factor that does not meet the standard, it is judged that there is a security risk in the economic data in the platform database;

[0028] If there is no security risk coefficient that does not meet the standard, the potential security risk coefficient of the economic data is obtained based on the security risk coefficient of the economic data in m time periods.

[0029] As a further description of the solution of the present invention, the working process of obtaining the potential safety risk coefficient of the system economic data includes:

[0030] The mathematical model of the potential security risk coefficient of platform economic data is constructed based on the economic data of m time periods. The expression is:

[0031] ;

[0032] In the formula, It is the potential security risk factor of economic data.

[0033] As a further description of the solution of the present invention, the working process of step S2 also includes:

[0034] The economic data security risk factor Compared with the preset economic data security risk factor threshold Compare;

[0035] If the economic data security risk factor Greater than or equal to the preset economic data security risk coefficient threshold , then it is judged that there are potential security risks in the economic data in the platform database;

[0036] If the economic data security risk factor Less than the preset economic data security risk factor threshold , then it is judged that there are potential security risks in the economic data in the platform database.

[0037] An economic data management system, the system includes a platform work log query module, a data analysis module, a risk assessment module, and an access port control module:

[0038] The platform work log query module is used to query the economic data historical activity information in the platform database in real time;

[0039] The data analysis module is used to analyze the historical activity information of economic data queried by the platform work log query module;

[0040] The risk assessment module is used to evaluate whether there are risks or potential risks in the economic data in the platform database based on the analysis results of the data analysis module;

[0041] The access port control module is used to close the access port of the platform data according to the evaluation result of the risk evaluation module.

[0042] Beneficial effects of the present invention:

[0043] The present invention first queries the work log of the cloud platform for storing economic data, obtains various real-time security parameters of the economic data, and determines whether there is a security risk in the economic data based on the various real-time security parameters. If not, the historical data of the various security parameters of the economic data are obtained, and the security risk of the economic data is further judged based on the changes in the security parameters of various data in the historical time period to avoid misjudgment of security risks due to errors in instantaneous data, which affects the user experience. If no security risk is still found in the data, the potential security of the economic data in the platform is evaluated based on the changes in the data security coefficient of each time period in the historical time period to ensure the security of the economic data in the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Figure 1 It is a partial flow chart of the economic data management method provided by the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 As shown, the present invention is an economic data management method, which includes the following steps:

[0048] Step S1, query the work log of economic data in the data management platform to obtain various real-time security parameters of economic data;

[0049] Step S2: judging whether there is any security risk in the economic data in the platform database according to various real-time security parameters of the economic data; if not, proceeding to step S3;

[0050] Step S3, obtaining the time-varying data of each security parameter item in the historical time period;

[0051] Step S4: Divide the historical time period into m time periods, where m is the current time period, and calculate the economic data security risk coefficient of each time period;

[0052] Step S5: judging whether there is any security risk in the economic data in the platform database according to the security risk coefficient of the economic data in each time period; if not, proceeding to step S6;

[0053] Step S6, calculating the potential security risk coefficient of the system economic data according to the security risk coefficient of the economic data in each time period;

[0054] Step S7, judging whether the system economic data has potential risks according to the potential safety risk coefficient of the system economic data;

[0055] Step S8: If there is a security risk in the system, immediately isolate the risk, close the platform data access port, promptly inform the user and report to the relevant competent authorities, make rectifications as required to eliminate the security risk, and if there is a potential security risk in the system, increase the platform data access restrictions.

[0056] Through the above technical scheme, the present invention first queries the work log of the cloud platform for storing economic data, obtains various real-time security parameters of the economic data, and determines whether there is a security risk in the economic data based on the various real-time security parameters. If not, the historical data of the various security parameters of the economic data are obtained, and the security risk of the economic data is further judged based on the changes in the security parameters of various data in the historical time period to avoid misjudgment of security risks due to errors in instantaneous data, which affects the user experience. If no security risk is still found in the data, the potential security of the economic data in the platform is evaluated based on the changes in the data security factor of each time period in the historical time period to ensure the security of the economic data in the platform.

[0057] It should be noted that security parameters include data download traffic, data upload traffic, user access times, data modification times, etc. Different security parameters should be selected for query based on actual conditions. Platform data access restrictions include secondary authentication for platform login, user access times restrictions, etc.

[0058] As a further description of the solution of the present invention, the working process of step S1 includes:

[0059] The security parameter values ​​of the data stored in the platform are numbered in the following order: 1, 2, ..., n;

[0060] Obtain the real-time value of each safety parameter and compare the real-time value of each safety parameter with the corresponding standard;

[0061] If there are real-time values ​​of security parameter items that do not meet the standards, it is judged that there are security risks in the economic data in the platform database;

[0062] If there is no real-time value of the security parameter item that does not meet the standard, the time-varying data of each security parameter item in the historical time period is obtained.

[0063] As a further description of the solution of the present invention, the working process of step S2 includes:

[0064] The historical time period is divided into m time periods, and the time variation curve of the i-th security parameter in the j-th time period is fitted according to the time variation data of each security parameter item in the historical time period, where j belongs to m and i belongs to n;

[0065] According to the time-varying curve of the ith security parameter in the jth time period, a mathematical model of the security risk coefficient of the economic data in the jth time period is constructed, and the expression is:

[0066] ;

[0067] In the formula, is the security risk coefficient of economic data in the jth time period, is the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis, is the standard area enclosed by the time-varying curve of the i-th safety parameter in the j-th time period and the x-axis, is the weight coefficient corresponding to the i-th safety parameter, It is the preset reference value for the difference between the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis and the standard area.

[0068] As a further description of the solution of the present invention, the working process of step S2 also includes:

[0069] Calculate the economic data security risk coefficients of m time periods in sequence, respectively , ,… ,… ,in, is the economic data security risk coefficient for the current time period;

[0070] Compare the security risk coefficients of economic data in each time period with the corresponding standards;

[0071] If there is a security risk factor that does not meet the standard, it is judged that there is a security risk in the economic data in the platform database;

[0072] If there is no security risk coefficient that does not meet the standard, the potential security risk coefficient of the economic data is obtained based on the security risk coefficient of the economic data in m time periods.

[0073] Through the above technical solution, this embodiment first obtains the real-time values ​​of various security parameters of the data in the platform, and compares the real-time values ​​of various security parameters with the corresponding standards respectively; if there are real-time values ​​of security parameters that do not meet the standards, it is judged that there are security risks in the economic data in the platform database; if there are no real-time values ​​of security parameters that do not meet the standards, the historical time period is divided into m time periods, and the time-varying curves of various security parameters in each time period are fitted according to the time-varying data of various security parameters in the historical time period, and the area enclosed by each curve and the x-axis is obtained, and then according to the formula Calculate the security risk coefficient of the economic data in the jth time period, and so on, calculate the security risk coefficient of the economic data in the m time periods, and compare the security risk coefficient of the economic data in each time period with the corresponding standards; if there is a security risk coefficient that does not meet the standard, it is determined that there is a security risk in the economic data in the platform database; if there is no security risk coefficient that does not meet the standard, obtain the potential security risk coefficient of the economic data based on the security risk coefficient of the economic data in the m time periods.

[0074] It should be noted that , and For empirical data, it can be combined with the characteristics of the parameter type to , and Make corrections

[0075] As a further description of the solution of the present invention, the working process of obtaining the potential safety risk coefficient of the system economic data includes:

[0076] The mathematical model of the potential security risk coefficient of platform economic data is constructed based on the economic data of m time periods. The expression is:

[0077] ;

[0078] In the formula, It is the potential security risk factor of economic data.

[0079] As a further description of the solution of the present invention, the working process of step S2 also includes:

[0080] The economic data security risk factor Compared with the preset economic data security risk factor threshold Compare;

[0081] If the economic data security risk factor Greater than or equal to the preset economic data security risk coefficient threshold , then it is judged that there are potential security risks in the economic data in the platform database;

[0082] If the economic data security risk factor Less than the preset economic data security risk factor threshold , then it is judged that there are potential security risks in the economic data in the platform database.

[0083] Through the above technical solution, this embodiment substitutes the economic data of m time periods into the formula Calculate the potential security risk coefficient of the platform's economic data and convert the economic data security risk coefficient into Compared with the preset economic data security risk factor threshold Compare; if the economic data security risk coefficient Greater than or equal to the preset economic data security risk coefficient threshold , then it is judged that there is a potential security risk in the economic data in the platform database; if the economic data security risk coefficient Less than the preset economic data security risk factor threshold , then it is judged that there are potential security risks in the economic data in the platform database.

[0084] An economic data management system, the system includes a platform work log query module, a data analysis module, a risk assessment module, and an access port control module:

[0085] The platform work log query module is used to query the economic data historical activity information in the platform database in real time;

[0086] The data analysis module is used to analyze the historical activity information of economic data queried by the platform work log query module;

[0087] The risk assessment module is used to evaluate whether there are risks or potential risks in the economic data in the platform database based on the analysis results of the data analysis module;

[0088] The access port control module is used to close the access port of the platform data according to the evaluation result of the risk evaluation module.

[0089] It should be noted that all calculations in the present invention are dimensionless calculations.

[0090] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An economic data management method, characterized in that: The method comprises the following steps: Step S1, query the work log of economic data in the data management platform to obtain various real-time security parameters of economic data in the platform database; Step S2: judging whether there is any security risk in the economic data in the platform database according to various real-time security parameters of the economic data; if not, proceeding to step S3; Step S3, obtaining the time-varying data of each security parameter item in the historical time period; Step S4: Divide the historical time period into m time periods, where m is the current time period, and calculate the economic data security risk coefficient of each time period; Step S5: judging whether there is any security risk in the economic data in the platform database according to the security risk coefficient of the economic data in each time period; if not, proceeding to step S6; Step S6, calculating the potential security risk coefficient of the system economic data according to the security risk coefficient of the economic data in each time period; Step S7, judging whether the system economic data has potential risks according to the potential safety risk coefficient of the system economic data; Step S8: If there is a security risk in the system, isolate the risk immediately, close the platform data access port, inform the user in a timely manner and report to the relevant competent authorities, make rectifications as required to eliminate the security risk, and if there is a potential security risk in the system, increase the platform data access restrictions.

2. The economic data management method according to claim 1, characterized in that: The working process of step S1 includes: The security parameter values ​​of the data stored in the platform are numbered in the following order: 1, 2, ..., n; Obtain the real-time value of each safety parameter and compare the real-time value of each safety parameter with the corresponding standard; If there are real-time values ​​of security parameter items that do not meet the standards, it is judged that there are security risks in the economic data in the platform database; If there is no real-time value of the security parameter item that does not meet the standard, the time-varying data of each security parameter item in the historical time period is obtained.

3. The economic data management method according to claim 2, characterized in that: The working process of step S2 includes: The historical time period is divided into m time periods, and the time variation curve of the i-th security parameter in the j-th time period is fitted according to the time variation data of each security parameter item in the historical time period, where j belongs to m and i belongs to n; According to the time-varying curve of the ith security parameter in the jth time period, a mathematical model of the security risk coefficient of the economic data in the jth time period is constructed, and the expression is: ； In the formula, is the security risk coefficient of economic data in the jth time period, is the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis, is the standard area enclosed by the time-varying curve of the i-th safety parameter in the j-th time period and the x-axis, is the weight coefficient corresponding to the i-th safety parameter, It is the preset reference value for the difference between the area enclosed by the time-varying curve of the ith safety parameter in the jth time period and the x-axis and the standard area.

4. The economic data management method according to claim 3, characterized in that: The working process of step S2 also includes: Calculate the economic data security risk coefficients of m time periods in sequence, respectively , ,… ,… ,in, is the economic data security risk coefficient for the current time period; Compare the security risk coefficients of economic data in each time period with the corresponding standards; If there is a security risk factor that does not meet the standard, it is judged that there is a security risk in the economic data in the platform database; If there is no security risk coefficient that does not meet the standard, the potential security risk coefficient of the economic data is obtained based on the security risk coefficient of the economic data in m time periods.

5. The economic data management method according to claim 4, characterized in that: The work process of obtaining the potential safety risk coefficient of system economic data includes: The mathematical model of the potential security risk coefficient of platform economic data is constructed based on the economic data of m time periods. The expression is: ； In the formula, It is the potential security risk factor of economic data.

6. The economic data management method according to claim 5, characterized in that: The working process of step S2 also includes: The economic data security risk factor Compared with the preset economic data security risk factor threshold Compare; If the economic data security risk factor Greater than or equal to the preset economic data security risk coefficient threshold , then it is judged that there are potential security risks in the economic data in the platform database; If the economic data security risk factor Less than the preset economic data security risk factor threshold , then it is judged that there are potential security risks in the economic data in the platform database.

7. An economic data management system using the economic data management method according to any one of claims 1 to 6, characterized in that: The system includes a platform work log query module, a data analysis module, a risk assessment module, and an access port control module: The platform work log query module is used to query the economic data historical activity information in the platform database in real time; The data analysis module is used to analyze the historical activity information of economic data queried by the platform work log query module; The risk assessment module is used to evaluate whether there are risks or potential risks in the economic data in the platform database based on the analysis results of the data analysis module; The access port control module is used to close the access port of the platform data according to the evaluation result of the risk evaluation module.

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