Internet data security protection method and system based on artificial intelligence algorithm

Abstract

The invention discloses an Internet data security protection method and system based on an artificial intelligence algorithm, and belongs to the technical field of data security protection. Performing supervision and data processing on behaviors of implementing permission applications by different mobile phone software in a target use process to obtain behavior supervision processing data corresponding to different permission applications by different mobile phone software, and performing data processing and analysis on the mobile phone software at a mobile phone software level and a permission type level. Pertinent authority application data security protection management is carried out on different mobile phone software and different authority types according to an analysis result, so that the active supervision effect and the active processing protection effect of mobile internet data security protection at the mobile phone software level are improved; the method is used for solving the technical problems that in an existing scheme, the mobile phone software permission application autonomous supervision processing effect for the mobile internet is poor, and the security protection autonomous management and control effect is poor.

Description

Technical Field

[0001] The present invention relates to the technical field of data security protection, and particularly to an Internet data security protection method and system based on artificial intelligence algorithms. Background Art

[0002] Internet data refers to various information resources transmitted and stored through the Internet, which covers a vast amount of data from content generated by individual users to enterprise-level applications and services. The types of Internet data are very extensive and can be classified according to their sources, uses, and degrees of structuring.

[0003] When implementing existing Internet data security protection solutions, for mobile Internet data, existing mobile phone software often actively requests various permissions during use. When the various requested permissions are used inappropriately, it often poses potential risks to the user experience and the security of the used data. It is unable to supervise and conduct risk assessments on the active requests for various permissions by different mobile phone software during use, and cannot adaptively conduct dynamic control over the use of different permissions and different mobile phone software based on the risk assessment results. There are problems with ineffective independent supervision and processing of mobile phone software permission requests for mobile Internet and ineffective independent control of security prevention. Summary of the Invention

[0004] The purpose of the present invention is to provide an Internet data security protection method and system based on artificial intelligence algorithms, which are used to solve the technical problems of ineffective independent supervision and processing of mobile phone software permission requests for mobile Internet and ineffective independent control of security prevention in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An Internet data security protection method based on artificial intelligence algorithms, including:

[0007] Supervise and process the behaviors of different mobile phone software during the target use process for permission requests, and obtain behavior supervision and processing data corresponding to different mobile phone software for different permission requests;

[0008] Conduct processing and analysis of the multi-dimensional application security status of the behavior supervision and processing data corresponding to different mobile phone software for different permission requests during the target use process, and adaptively conduct targeted permission request data security prevention management at different levels; including:

[0009] Among them, obtain the application data corresponding to different permission requests after the mobile phone software starts to be installed and process and calculate to obtain the single-application influence value corresponding to different permission requests; conduct data analysis on the single-application influence value, and dynamically mark the requested permissions according to the analysis results to obtain the first permission, the second permission, or the third permission;

[0010] When performing data processing and dynamic management at the mobile software level for mobile software, all the permission marking data associated with the mobile software is processed, calculated, and analyzed to determine the software application impact status corresponding to the mobile software and implement targeted security prevention management for permission application data;

[0011] When performing data processing and dynamic management at the permission type level for mobile software, the permission application data obtained through the same permission type supervision and processing is processed, calculated, and analyzed to determine the type application impact status corresponding to the permission type and implement targeted security prevention management for permission application data.

[0012] Preferably, when a permission application behavior is detected during the target usage process, a behavior supervision instruction is generated, and based on the behavior supervision instruction, the mobile software to which the permission application belongs and the name of the applied permission are obtained;

[0013] Obtain the software type corresponding to the mobile software to which the permission application belongs, and obtain the corresponding permission application standard set according to the software type;

[0014] Traverse and match the obtained permission name with the corresponding permission application standard set;

[0015] If there is a sample permission name in the permission application standard set that is the same as the applied permission name, generate a normal application behavior label and give a prompt;

[0016] If there is no sample permission name in the permission application standard set that is the same as the applied permission name, generate an abnormal application behavior label, and monitor and count the result of the user's processing of the applied permission according to the abnormal application behavior label.

[0017] Preferably, if the result of the user's processing of the applied permission is to allow continuous use, increment the total number of completely allowed special applications corresponding to the name of the applied permission by one;

[0018] If the result of the user's processing of the applied permission is to allow use during use, increment the total number of partially allowed special applications corresponding to the name of the applied permission by one;

[0019] If the result of the user's processing of the applied permission is not to allow use, increment the total number of not allowed special applications corresponding to the name of the applied permission by one;

[0020] Sort and combine the applied permission name and its corresponding mobile software, total number of completely allowed special applications, total number of partially allowed special applications, or total number of not allowed special applications to obtain the behavior supervision processing data corresponding to the permission application.

[0021] Preferably, when performing application security status processing and analysis at the mobile software dimension on all behavior supervision processing data obtained through corresponding supervision for different permission applications during the target usage process, obtain the total number of normal application behavior labels generated after the mobile software starts to be installed, as well as the total number of fully permitted special applications, the total number of partially permitted special applications, and the total number of non-permitted special applications obtained through corresponding supervision processing for different permission applications during the usage process, and through the formula calculate and obtain the single-application influence value XSY corresponding to different permission applications of the mobile software; in the formula, NS, NB, and NJ are respectively the total number of application times for the same permission application of the mobile software, the total number of partially permitted special applications, and the total number of non-permitted special applications; XB1 and XB2 are respectively the first application standard value and the second application standard value corresponding to the permission application of the mobile software; α and β are different proportionality coefficients, 0 < α < β < 1, and α + β = 1; is the floor function.

[0022] Preferably, perform data analysis on the single-application influence value to determine the single-application influence status corresponding to the applied permission;

[0023] If the single-application influence value is 0, generate a normal single-application influence status for the applied permission and mark the applied permission as the first permission;

[0024] If the single-application influence value is greater than 0 and less than or equal to 1, generate a slightly abnormal single-application influence status for the applied permission and mark the applied permission as the second permission;

[0025] If the single-application influence value is greater than 1, generate a severely abnormal single-application influence status for the applied permission and mark the applied permission as the third permission.

[0026] Preferably, obtain the total number of all permissions NQX applied by the mobile software, as well as the total number of all second permissions NQQ and the total number of third permissions NQZ of the mobile software, and pass the marked data of all permissions associated with the mobile software through the formula calculate and obtain the software application influence value RSY corresponding to the mobile software; in the formula, μ is a proportionality coefficient and is greater than 1; A is the software application influence standard value.

[0027] Preferably, perform data analysis on the software application influence value to determine the software application influence status corresponding to the mobile software and perform dynamic management at the mobile software level;

[0028] If the software application influence value is less than or equal to 1, generate a normal software application influence status for the mobile software;

[0029] If the software application impact value is greater than 1, an abnormal software application impact status of the mobile software to which it belongs is generated, and targeted permission application data security prevention and management is implemented for the mobile software to which it belongs.

[0030] Preferably, count the total number of fully permitted special applications, the total number of partially permitted special applications, and the total number of non-permitted special applications corresponding to the applications of all mobile software according to the same permission type, and use the formula to calculate and obtain the type application impact value LSY corresponding to the permission type; in the formula, NLZ and NLJ are the total number of special applications and the total number of non-permitted special applications corresponding to the permission type respectively; LB is the type application impact standard value corresponding to the permission type.

[0031] Preferably, perform data analysis on the type application impact value, determine the type application impact status corresponding to the permission type, and perform dynamic management at the permission type level;

[0032] If the type application impact value is less than or equal to 0, a normal type application impact status of the permission type to which it belongs is generated, and the permission type to which it belongs is marked as the first permission type;

[0033] Otherwise, an abnormal type application impact status of the permission type to which it belongs is generated, the permission type to which it belongs is marked as the second permission type, and targeted permission application data security prevention and management is implemented for the second permission type.

[0034] An Internet data security protection system based on an artificial intelligence algorithm includes:

[0035] A permission application data multi-dimensional supervision and processing module for supervising and processing the behaviors of different mobile software during the target use process to obtain behavior supervision and processing data corresponding to different mobile software for different permission applications;

[0036] A permission application security evaluation multi-dimensional protection module for performing multi-dimensional application security status processing and analysis on the behavior supervision and processing data corresponding to different mobile software for different permission applications during the target use process, and adaptively implementing targeted permission application data security prevention and management for different levels according to the analysis results.

[0037] Compared with the existing solutions, the beneficial effects achieved by the present invention are:

[0038] By supervising and processing the behaviors of different mobile software during the target use process to obtain behavior supervision and processing data corresponding to different mobile software for different permission applications, the present invention can not only supervise and analyze the single application status corresponding to different permission applications, but also provide reliable local application supervision and processing data support for subsequent application security status supervision, analysis and management at different levels.

[0039] The present invention processes and analyzes data at the mobile software level and permission type level for mobile software, and implements targeted permission application data security prevention management for different mobile software and different permission types according to the analysis results, improving the active supervision effect and active processing and prevention effect of mobile Internet data security protection at the mobile software level. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings.

[0041] Figure 1 It is a flowchart of the Internet data security protection method based on artificial intelligence algorithm of the present invention.

[0042] Figure 2 It is a block diagram of the modules of the Internet data security protection system based on artificial intelligence algorithm of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] As Figure 1 shown, the present invention is an Internet data security protection method based on artificial intelligence algorithm, including:

[0045] Supervise and process the behavior of permission applications implemented by different mobile software during the target usage process to obtain behavior supervision and processing data corresponding to different permission applications of different mobile software; including:

[0046] Generate a behavior supervision instruction when a permission application behavior is detected during the target usage process, and obtain the mobile software to which the permission application belongs and the name of the applied permission according to the behavior supervision instruction; wherein, the target can specifically be a mobile terminal, such as a smart phone; the permission application includes but is not limited to location information permission application, microphone permission application, camera permission application, call permission application, etc. performed by different mobile software;

[0047] Obtain the software type corresponding to the mobile software to which the permission application belongs, and obtain the corresponding permission application standard set according to the software type;

[0048] Among them, the software type can be determined according to the existing mobile software type classification standard;

[0049] In addition, a corresponding permission application standard set is preset for each different software type, and a number of different sample application permissions are preset in the permission application standard set; the number of sample application permissions can be reviewed and determined by professional technical personnel in the field according to industry norms and requirements;

[0050] Traverse and match the obtained permission name with the corresponding permission application standard set;

[0051] If there is a sample permission name in the permission application standard set that is the same as the applied permission name, generate a normal application behavior label and prompt;

[0052] If there is no sample permission name in the permission application standard set that is the same as the applied permission name, generate an abnormal application behavior label, and monitor and count the result of the user's handling of the applied permission according to the abnormal application behavior label;

[0053] It can be understood that when the applied permission name is not in its corresponding permission application standard set, it means that there is an irregularity in the applied permission, and it is necessary to further supervise and analyze the abnormal state of its application;

[0054] If the result of the user's handling of the applied permission is to allow continuous use, add 1 to the total number of completely allowed special applications corresponding to the permission name of the applied permission;

[0055] If the result of the user's handling of the applied permission is to allow use when needed, add 1 to the total number of partially allowed special applications corresponding to the permission name of the applied permission;

[0056] If the result of the user's handling of the applied permission is not to allow use, add 1 to the total number of not allowed special applications corresponding to the permission name of the applied permission;

[0057] Sort and combine the applied permission name and its corresponding mobile software, total number of completely allowed special applications, total number of partially allowed special applications, or total number of not allowed special applications to obtain the behavior supervision and processing data corresponding to the applied permission;

[0058] In the embodiment of the present invention, by supervising and processing the behavior of different mobile software in the process of applying permissions during the target use, the behavior supervision and processing data corresponding to different mobile software for different permission applications are obtained, which can not only realize the supervision and analysis of the single application status corresponding to different permission applications, but also provide reliable local application supervision and processing data support for the subsequent supervision and analysis and management of the application security status at different levels.

[0059] Process and analyze the multi-dimensional application security status of the behavior supervision and processing data corresponding to different permission applications of different mobile phone software during the use of the target, and adaptively implement targeted permission application data security prevention management at different levels; including:

[0060] Obtain the total number of normal application behavior labels generated after the mobile phone software starts to be installed, as well as the total number of fully permitted special applications, the total number of partially permitted special applications, and the total number of non-permitted special applications obtained through the supervision and processing of different permission applications during the use process, and use the formula Calculate and obtain the single-application influence value XSY corresponding to different permission applications of the mobile phone software; in the formula, NS, NB, and NJ are respectively the total number of applications, the total number of partially permitted special applications, and the total number of non-permitted special applications for the same permission application of the mobile phone software; XB1 and XB2 are respectively the first application standard value and the second application standard value corresponding to the permission application of the mobile phone software, which can be determined according to the existing industry standard requirement data for the permission application of the mobile phone software, or can be determined according to the previous test data; α and β are different proportionality coefficients, 0 < α < β < 1, α + β = 1; α can take the value of 0.382; β can take the value of 0.618; is the floor function;

[0061] It should be noted that the single-application influence value is used to integrate and calculate the permission application data corresponding to different permission applications of the mobile phone software to digitally represent the single-application influence status corresponding to the applied permission;

[0062] Conduct data analysis on the single-application influence value to determine the single-application influence status corresponding to the applied permission;

[0063] If the single-application influence value is 0, generate the normal single-application influence status of the applied permission, and mark the applied permission as the first permission;

[0064] If the single-application influence value is greater than 0 and less than or equal to 1, generate the slightly abnormal single-application influence status of the applied permission, and mark the applied permission as the second permission;

[0065] If the single-application influence value is greater than 1, generate the severely abnormal single-application influence status of the applied permission, and mark the applied permission as the third permission;

[0066] In the embodiments of the present invention, by performing extended calculations on the regulatory processing data of different permission applications of different mobile phone software in the early stage, all application impacts corresponding to different applied permissions are processed, calculated, and analyzed, and different applied permissions are dynamically marked according to the analysis results, which can not only classify the single-application impact status corresponding to different applied permissions, but also provide reliable single-application impact regulatory processing data support for subsequent regulatory analysis and management of application impact status at different levels.

[0067] Moreover, obtain the total number NQX of all permissions applied by the mobile phone software, as well as the total number NQQ of all second permissions and the total number NQZ of all third permissions of the mobile phone software, and calculate the software application impact value RSY corresponding to the mobile phone software to which all permission marking data associated with the mobile phone software belongs through the formula where μ is a proportionality coefficient greater than 1 and can take the value of 1.5; A is the software application impact standard value, which can be determined according to the existing industry specification requirement data for mobile phone software permission applications or according to the previous test data.

[0068] It should be noted that the software application impact value is used to integrate and calculate the application regulatory data of all permission applications corresponding to the mobile phone software, so as to digitally represent the software application impact status corresponding to the mobile phone software to which it belongs.

[0069] Perform data analysis on the software application impact value, determine the software application impact status corresponding to the mobile phone software to which it belongs, and perform dynamic management at the mobile phone software level.

[0070] If the software application impact value is less than or equal to 1, generate that the software application impact status of the mobile phone software to which it belongs is normal.

[0071] If the software application impact value is greater than 1, generate that the software application impact status of the mobile phone software to which it belongs is abnormal, and implement targeted permission application data security prevention management for the mobile phone software to which it belongs. The specific prevention management content can be customized according to the actual application scenario and actual application requirements.

[0072] In the embodiments of the present invention, by performing data processing and analysis at the mobile phone software level on the mobile phone software and implementing targeted permission application data security prevention management for the mobile phone software to which it belongs according to the analysis results, the active supervision effect and active processing and prevention effect of mobile Internet data security protection at the mobile phone software level are improved.

[0073] Moreover, according to the same permission type, count the total number of times of completely allowing special applications, the total number of times of partially allowing special applications, and the total number of times of not allowing special applications corresponding to all mobile phone software applications, and through the formula Calculate and obtain the type application influence value LSY corresponding to the ownership permission type; in the formula, NLZ and NLJ are respectively the total number of special applications and the total number of non-permitted special applications corresponding to the ownership permission type; LB is the type application influence standard value corresponding to the ownership permission type, which can be determined according to the existing industry specification requirements data of mobile software permission applications or according to the previous test data;

[0074] It should be noted that the type application influence value is used to integrate and calculate the application supervision data of all permission applications corresponding to the same permission type, so as to digitally represent the type application influence status corresponding to the ownership permission type;

[0075] Conduct data analysis on the type application influence value, determine the type application influence status corresponding to the ownership permission type, and conduct dynamic management at the permission type level;

[0076] If the type application influence value is less than or equal to 0, generate that the type application influence status of the ownership permission type is normal, and mark the ownership permission type as the first permission type;

[0077] On the contrary, generate that the type application influence status of the ownership permission type is abnormal, mark the ownership permission type as the second permission type, and implement targeted permission application data security prevention management for the second permission type. The specific prevention management content can be customized according to the actual application scenario and actual application requirements.

[0078] In the embodiment of the present invention, through data processing and analysis at the permission type level of mobile software, and implementing targeted permission application data security prevention management for the ownership permission type according to the analysis results, the active supervision effect and active processing and prevention effect of mobile Internet data security protection at the permission type level are improved. At the same time, the autonomous supervision and processing effect of mobile software permission applications for mobile Internet and the autonomous control effect of security prevention are also improved.

[0079] As Figure 2 shown, the present invention is an Internet data security protection system based on an artificial intelligence algorithm, including:

[0080] The permission application data multi-dimensional supervision and processing module is used to supervise and process the behaviors of different mobile software implementing permission applications during the target usage process, and obtain the behavior supervision and processing data corresponding to different mobile software for different permission applications;

[0081] The permission application security evaluation multi-dimensional protection module is used to conduct processing and analysis of the multi-dimensional application security status of the behavior supervision and processing data corresponding to different mobile software implementing different permission applications during the target usage process, and adaptively implement targeted permission application data security prevention management for different levels according to the analysis results.

[0082] In addition, the formulas involved above are all calculated by removing the dimension and taking their numerical values, and are obtained by collecting a large amount of data and simulating through simulation software to get a formula that is closest to the actual situation.

[0083] In several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described invention embodiments are merely illustrative. For example, the division of modules is only a logical function division, and there can be other division methods in actual implementation.

[0084] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0085] In addition, the functional modules in each embodiment of the present invention can be integrated into a processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0086] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and can be implemented in other specific forms without departing from the basic characteristics of the present invention.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An Internet data security protection method based on artificial intelligence algorithm, characterized in that: include: Monitor and process the behavior of different mobile phone software implementing permission applications during target use, and obtain the behavior monitoring and processing data corresponding to different permission applications made by different mobile phone software; Conduct multi-dimensional application security status analysis on the behavior supervision processing data corresponding to different permission applications implemented by different mobile software during target use, and adaptively implement targeted permission application data security prevention management at different levels based on the analysis results; including: Among them, the application data corresponding to different permission applications after the mobile phone software starts to be installed are obtained and processed and calculated to obtain the single application impact values ​​corresponding to the different permission applications; the single application impact values ​​are analyzed, and the application permissions are dynamically marked according to the analysis results to obtain the first permission, the second permission or the third permission; When performing data processing and dynamic management of mobile software at the mobile software level, all permission tag data associated with the mobile software will be processed, calculated and analyzed to determine the software application impact status corresponding to the mobile software and implement targeted permission application data security prevention management; When performing data processing and dynamic management on mobile phone software at the permission type level, the permission application data obtained from the same permission type supervision process will be processed, calculated and analyzed to determine the type application impact status corresponding to the permission type and implement targeted permission application data security prevention management.

2. The Internet data security protection method based on artificial intelligence algorithm according to claim 1 is characterized in that: When the behavior of requesting permission is detected during the use of the target, a behavior supervision instruction is generated, and the mobile phone software to which the permission request belongs and the name of the permission requested are obtained according to the behavior supervision instruction; Obtain the software type corresponding to the mobile phone software to which the permission application belongs, and obtain the corresponding permission application standard set according to the software type; Traverse and match the obtained permission name with the corresponding permission application standard set; If there is a sample permission name that is the same as the permission name applied for in the permission application standard set, a normal application behavior label is generated and a prompt is given; If there is no sample permission name identical to the permission name applied for in the permission application standard set, an abnormal application behavior label is generated, and the results of the user's processing of the applied permissions are monitored and counted based on the abnormal application behavior label.

3. The Internet data security protection method based on artificial intelligence algorithm according to claim 2 is characterized in that: If the result of the user's processing of the applied permission is that it is allowed to be used all the time, the total number of times the special application is fully allowed corresponding to the permission name of the permission application will be increased by one; If the result of the user's processing of the requested permission is that it is allowed when used, the total number of times allowed for the special application part corresponding to the permission name of the permission application will be increased by one; If the result of the user's processing of the applied permission is that it is not allowed to use, the total number of special application disallowances corresponding to the permission name of the permission application will be increased by one; Sort and combine the name of the permission applied for and its corresponding mobile phone software, the total number of special applications fully allowed, the total number of special applications partially allowed, or the total number of special applications not allowed to obtain the behavioral supervision processing data corresponding to the corresponding permission application.

4. The Internet data security protection method based on artificial intelligence algorithm according to claim 3 is characterized in that: When analyzing the application security status of mobile software in terms of all behavior supervision processing data obtained by corresponding supervision of different permission applications during the target use process, the total number of normal application behavior labels generated after the mobile software starts to be installed, as well as the total number of special applications that are fully allowed, the total number of special applications that are partially allowed, and the total number of special applications that are not allowed obtained by corresponding supervision processing of different permission applications during use, are obtained through the formula Calculate and obtain the single application impact value XSY corresponding to different permission applications of mobile software; where NS, NB, and NJ are the total number of applications for the same permission of mobile software, the total number of special application parts allowed, and the total number of special applications not allowed; XB1 and XB2 are the first application standard value and the second application standard value corresponding to the permission application of mobile software; α and β are different proportional coefficients, 0<α<β<1, α+β=1; is the floor function.

5. The Internet data security protection method based on artificial intelligence algorithm according to claim 4 is characterized in that: Conduct data analysis on the impact value of individual applications to determine the impact status of individual applications corresponding to the application authority; If the single application impact value is 0, the single application impact status of the corresponding application permission is normal, and the corresponding application permission is marked as the first permission; If the single application impact value is greater than 0 and less than or equal to 1, a single application impact status of the corresponding application permission is slightly abnormal, and the corresponding application permission is marked as the second permission; If the single application impact value is greater than 1, the single application impact status of the corresponding application permission is generated as severely abnormal, and the corresponding application permission is marked as the third permission.

6. The Internet data security protection method based on artificial intelligence algorithm according to claim 5 is characterized in that: Get the total number of all permissions applied for by the mobile software NQX, as well as the total number of all second permissions NQQ and the total number of third permissions NQZ of the mobile software, and use the formula to mark all permission data associated with the mobile software Calculate and obtain the software application impact value RSY corresponding to the mobile phone software; where μ is the proportional coefficient and is greater than 1; A is the software application impact standard value.

7. The Internet data security protection method based on artificial intelligence algorithm according to claim 6 is characterized in that: Conduct data analysis on the software application impact value, determine the software application impact status corresponding to the mobile software, and conduct dynamic management at the mobile software level; If the software application impact value is less than or equal to 1, the software application impact status of the generated mobile phone software is normal; If the software application impact value is greater than 1, a software application impact status exception is generated for the corresponding mobile phone software, and targeted permission application data security prevention management is implemented for the corresponding mobile phone software.

8. The Internet data security protection method based on artificial intelligence algorithm according to claim 5 is characterized in that: According to the same permission type, the total number of special applications fully allowed, the total number of special applications partially allowed, and the total number of special applications not allowed for all mobile software applications are counted, and the formula is used Calculate and obtain the type application impact value LSY corresponding to the authority type; where NLZ and NLJ are the total number of special applications and the total number of special applications not allowed corresponding to the authority type, respectively; LB is the type application impact standard value corresponding to the authority type.

9. The Internet data security protection method based on artificial intelligence algorithm according to claim 8 is characterized in that: Conduct data analysis on the type application impact value, determine the type application impact status corresponding to the permission type, and perform dynamic management at the permission type level; If the type application impact value is less than or equal to 0, the type application impact status of the permission type to which it belongs is generated to be normal, and the permission type to which it belongs is marked as the first permission type; Otherwise, a type application impact status exception of the corresponding permission type is generated, the corresponding permission type is marked as a second permission type, and targeted permission application data security prevention management is implemented for the second permission type.

10. An Internet data security protection system based on artificial intelligence algorithm, characterized in that: include: The permission application data multi-dimensional supervision and processing module is used to supervise and process the behavior of different mobile phone software implementing permission applications during the use of the target, and obtain the behavior supervision and processing data corresponding to different permission applications made by different mobile phone software; The multi-dimensional protection module for permission application security assessment is used to process and analyze the multi-dimensional application security status of the behavior supervision processing data corresponding to different permission applications implemented by different mobile software during target use, and adaptively implement targeted permission application data security prevention management at different levels based on the analysis results.

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