Efficient and stable information processing method and storage medium thereof
By setting up login authentication and secure storage units in the retrieval service platform, generating retrieval atlases and decryption sequence documents, and encrypting user information using security keys, the problem of information exposure caused by key leakage is solved, thus improving information security and deception.
Patent Information
- Application Number
- CN202511047082.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2025-11-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In existing technologies, key leakage exposes the user's search information directly to three parties, making it impossible to guarantee the security of the user's search information.
By setting up a login authentication unit, a retrieval monitoring unit, and a secure storage unit, the system acquires and generates the identity authentication information of the retrieval user, generates a retrieval atlas and decryption sequence document, and uses a security key to encrypt and store the user information, converting it into image and document data to avoid directly exposing the information.
It improves the security of users' information retrieval, prevents information theft when keys are leaked, increases the deceptiveness of information, and protects users' privacy.
Smart Images
Figure CN120893071A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of information processing, in particular to a high-efficiency and stable information processing method and a storage medium thereof. BACKGROUND
[0002] Information processing refers to the process of collecting, organizing, analyzing, interpreting, storing and transmitting data. It is a basic technology widely used in various fields. The purpose of information processing is to improve the accuracy and reliability of information through processing, so as to better support decision-making and action. The process of information processing includes collecting data, organizing data, analyzing data, interpreting data, storing data and transmitting data. Among them, storing data means storing processed data into a database or a file for future use. Transmitting data means transmitting data from one place to another to ensure data availability and shareability. The matters needing attention in information processing include ensuring the authenticity and integrity of data, selecting appropriate processing methods and tools, and considering the confidentiality and security of data. Among them, considering the confidentiality and security of data is an important aspect of information processing, which requires various measures to protect the confidentiality and integrity of data. An existing high-efficiency and stable information processing method encrypts the key input by the user in the retrieval platform provided by the enterprise in a key encryption manner to avoid analysis and theft of the retrieval direction and intention of the retrieval user by the third party based on the stolen key. However, this is a direct encryption storage based on the retrieval information itself of the retrieval user. When the key is leaked, the retrieval information of the user will be directly exposed to the third party, which cannot guarantee the security of the retrieval information of the user. To solve the above problems, the present application provides a solution. SUMMARY
[0003] The purpose of the present application is to provide a high-efficiency and stable information processing method and a storage medium thereof, which aims to solve the problem that the key in the prior art directly encrypts the retrieval information data itself of the retrieval user, and the retrieval information of the user will be directly exposed to the third party when the key is leaked, which cannot guarantee the security of the retrieval information of the user. The purpose of the present application can be achieved by the following technical scheme: A high-efficiency and stable information processing method, comprising the following steps: Step 1: a retrieval end module, obtaining the identity authentication information of the current pre-retrieval user and providing it with login and access to the retrieval service platform of the enterprise, the retrieval end module comprising a login authentication unit and a retrieval monitoring unit; Step two: the login authentication unit acquires the identity authentication information entered by the current pre-search user and transmits it to the search service platform, which includes an identity authentication unit, a search service unit and a secure storage unit; Step three: the identity authentication unit performs consistency matching on the identity authentication information of the current pre-search user, and generates a service start instruction after the matching is passed and transmits it to the search monitoring unit; Step four: the search monitoring unit receives the service start instruction transmitted by the identity authentication unit, acquires the complete search information data entered by the pre-search user and transmits it to the search service unit; Step five: the search service unit stores the public information data currently provided by the user for browsing, and after receiving the complete search information data entered by the pre-search user transmitted by the search monitoring unit, it queries the relevant public information data in all public information data stored in the search service unit according to the characters carried in it and displays it to the pre-search user for browsing; Step six: the secure storage unit stores a security key used for encryption, and the secure storage unit monitors the login state of the pre-search user, and after the secure storage unit monitors the pre-search user logging into the search service platform, it acquires all complete search information data entered by the pre-search user during this login process and generates a search atlas and a decryption sequence document for this login of the pre-search user according to certain conversion generation rules, and uses the security key to encrypt the search atlas and the decryption sequence document for this login of the pre-search user respectively and stores them.
[0004] Further, the security key stored in the secure storage unit is a 32-bit character composed of numbers, letters and special symbols generated by an encryption algorithm.
[0005] Further, the search service platform of the enterprise provides a search box and a search submit button for the pre-search user, the search box is provided for the pre-search user to enter characters in it, and after the pre-search user finishes entering in the search box, clicks the search submit button to interact with the search service platform of the enterprise.
[0006] Further, one of the complete search information data is from the current pre-search user entering the first character to clicking the search submit button, and it needs to be noted that the data type of the complete search information data acquired by the search monitoring unit is string.
[0007] Further, the identity authentication information includes the account name and account password entered by the current pre-search user for logging into the search service platform of the enterprise.
[0008] Further, the security storage unit generates the specific conversion generation rule of the search attack and the decrypted sequence document of the pre-search user this time as follows: S11: All complete search information data entered by the pre-search user in the current login process are sequentially obtained and sequentially marked as A1, A2,..., Aa, a≥1 from far to near according to the time when the pre-search user enters the complete search information data, wherein the entering time of the complete search information data A1 is farthest from the current time, and the entering time of the complete search information data Aa is closest to the current time; S12: The complete search information data A1 is cut using the.split() method to obtain a split list corresponding to the complete search information data A1, wherein the split list stores a plurality of strings; All strings in the split list are sequentially marked as B1, B2,..., Bb, b≥1 from left to right according to their positions in the list. The.split() method is a cutting method in programming, and the strings are cut by default with spaces without any parameters in the brackets, and the cutting result is finally displayed in the form of a list. S13: The image composite pixel average E1 of the complete search information data A1 is calculated using the formula It should be noted that the image composite pixel average is artificially defined to represent the pixel average of the image generated based on the complete search information data A1, wherein D1 is the entering time of the pre-search user entering the complete search information data, and P1 is a preset image basic pixel average. S14: A composite background image based on the complete search information data A1 is generated according to the image composite pixel average E1, wherein the rgb value of each pixel point in the initial composite background image is (0, 0, 0), and the image specification of the composite background image is E1×E1 pixels. S15: The filling composite image of the string B1 is filled according to a certain filling generation rule, which is as follows: S151: All characters in the string B1 are obtained and sequentially marked as C1, C2,..., Cc, c≥1 according to the order in which the pre-search user enters the characters. S152: The incremental value F1 of the RGB value of the characters in the string B1 is calculated using the formula S152: The incremental value F1 of the RGB value of the characters in the string B1 is calculated using the formula S153: According to the incremental value F1 of the character RGB value in the string B1, the character C1 is pixelized and filled into the composite background image, at this time the RGB value of the pixel point constituting the character C1 in the filled composite background image is (F1, F1, F1), and it is noted that the character C1 is located at the center of the composite background image; S154: According to S151 to S153, the character C2 is pixelized and filled into the composite background image, at this time the RGB value of the pixel point constituting the character C2 in the composite background image satisfies the condition: The RGB value of all pixel points constituting the character C2 is increased by F1 based on the original value; S155: According to S154, the characters C1, C2,..., Cc are pixelized and filled into the composite background image to generate the filled composite image of the string B1; S16: According to S15, the filled composite images of the strings B2, B3,..., Bb are generated in turn, and they are merged in turn according to the order of the strings B1, B2,..., Bb to generate a new filled composite image, and all the RGB values of (0, 0, 0) in the new filled composite image are changed to (255, 255, 255), and the positions of the corresponding pixel points are recorded; According to the merged new filled composite image, the combined composite image of the complete search information data A1 is re-calibrated, and the composite decoding sequence of the complete search information data A1 is generated according to the positions of the pixel points with the changed RGB value (255, 255, 255) and the incremental values F1, F2,..., Fb of the character RGB values in the strings B1, B2,..., Bb; S17: According to S13, the image composite pixel average E1, E2,..., Ea of the complete search information data A1, A2,..., Aa is obtained; According to S15 to S16, the combined composite image of the complete search information data A1, A2,..., Aa and its corresponding composite decoding sequence are calculated and obtained; S18: If the image composite pixel average E1 is the maximum value among the image composite pixel averages E1, E2,..., Ea, the combined composite image of the complete search information data A1 is re-calibrated as the expanded combined image of the complete search information data A1; S19: If the image composite pixel average E1 is not the maximum value among the image composite pixel averages E1, E2,..., Ea: S191: The boundary pixel expansion I1 of the combined composite image of the complete search information data A1 is calculated and obtained by using the formula I1=Emax-E1; S192: intercept a region from the complete search information data A1, the number of rows of the region is I1, and the number of columns is E1, and the region satisfies: the region in which the number of pixel points with RGB values not being (255, 255, 255) is the most is marked as a filling coverage region; S193: according to the filling coverage region, the complete search information data A1 is expanded to generate an expanded combined image of the complete search information data A1, and at this time, the image specification of the boundary expansion image is Emax*Emax pixels; and according to the boundary pixel expansion amount I1 and the combined decoding sequence of the combined image of the complete search information data A1, an expanded decoding sequence of the complete search information data A1 is generated; S110: the expanded combined image and the expanded decoding sequence of the complete search information data A1, A2,..., Aa are obtained according to S18 to S19; The security storage unit generates a search atlas of the current login of the pre-login user according to the expanded combined image of the complete search information data A1, A2,..., Aa, and generates a decoding sequence document of the current login of the pre-login user according to the expanded decoding sequence of the complete search information data A1, A2,..., Aa.
[0009] A computer readable storage medium, the computer readable storage medium stores a computer program, the computer program is executed by a processor to make the processor realize the operation performed by the high-efficiency stable information processing method according to any one of claims 1-6.
[0010] The beneficial effects of the present application are: The present application sets the login authentication unit to obtain the identity authentication information of the pre-search user, the identity authentication unit performs identity authentication, and the search service unit provides search service for the pre-search user after authentication, avoiding the occurrence of server overload caused by the use of search service by three parties using too many unlogged accounts; The present application acquires complete search information data in the pre-search user login process through the setting of the search monitoring unit, analyzes the single complete search information data in the one-time login process of the pre-search user through the setting of the security storage unit to generate the corresponding combined composite image, and based on the combined composite image of all complete search information data in the one-time login process, the boundary of all combined composite images is expanded according to the characteristics of the pixel points in each combined composite image, so that the image specifications of all complete search information data in the present login process are kept consistent, on the one hand, the original features of the image are used for expansion while the boundary of each combined composite image in the login process is expanded, which is more confusing, so that the user search information data itself is also confusing in the case of key loss, on the other hand, the search information of the pre-search user is converted into image and document data, which is indirectly encrypted by using the key, thereby ensuring the security of the user search information. BRIEF DESCRIPTION OF DRAWINGS
[0011] The present application will be further described below in conjunction with the drawings.
[0012] Figure 1 is a system block diagram of the present application; Figure 2 is a method flowchart of the present application. DETAILED DESCRIPTION
[0013] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.
[0014] As shown in Figure 1 , an efficient and stable information processing method and its storage medium, comprising a search end module and a search service platform; The search end module is used for the current pre-search user to log in and access the search service platform of the enterprise; The search end module includes a login authentication unit and a search monitoring unit, the login authentication unit transmits the identity authentication information entered by the current pre-search user to the search service platform after obtaining the identity authentication information, and the identity authentication information includes the account name and account password entered by the current pre-search user for logging into the search service platform of the enterprise; The search service platform is used for the enterprise to provide search services to the user who has passed the identity authentication, and the search service platform includes an identity authentication unit, a search service unit and a security storage unit; The search service platform transmits the identity authentication information input by the current pre-search user to the identity authentication unit after receiving the identity authentication information from the login authentication unit; The identity authentication unit stores the platform login names and platform login passwords of all the registered and authorized users, and matches the account name and account password carried in the identity authentication information transmitted by the search service platform with the platform login names and platform login passwords of all the users stored in the identity authentication unit. If the matching is successful, a service start instruction is generated and transmitted to the search monitoring unit; The search monitoring unit receives the service start instruction from the identity authentication unit and acquires the complete search information data input by the current pre-search user. The complete search information data is from the first character input by the current pre-search user to the click of the search submission button. It should be noted that the data type of the complete search information data acquired by the search monitoring unit is a string; In this embodiment, the search service platform of the enterprise provides a search box and a search submission button for the pre-search user to input characters in the search box. After the pre-search user finishes inputting in the search box, the pre-search user clicks the search submission button to interact with the search service platform of the enterprise; The search monitoring unit transmits the complete search information data input by the current pre-search user to the search service unit, which stores the public information data browsed by the currently authenticated users of the enterprise; The search service unit searches for the relevant public information data based on all the characters carried in the complete search information data transmitted by the search monitoring unit and stored in the search service unit, and displays the public information data to the pre-search user for browsing; The security storage unit acquires all the complete search information data input by the pre-search user during the login process and generates a search atlas and a decryption sequence document for the pre-search user according to certain conversion generation rules. It should be noted that the search service platform automatically logs out if the pre-search user does not perform an authentication search operation within 30 minutes; The specific conversion generation rules of the security storage unit for generating the search atlas and the decryption sequence document for the pre-search user are as follows: S11: sequentially obtain all complete search information data entered by the pre-search user in this login process and sequentially mark A1, A2,..., Aa, a≥1 from far to near according to the time when the pre-search user enters the complete search information data, the entering time of the complete search information data A1 is farthest from the current time, and the entering time of the complete search information data Aa is closest to the current time; S12: use the.split() method to cut the complete search information data A1 to obtain the split list corresponding to the complete search information data A1, and the split list stores a plurality of strings; All strings in the split list are sequentially marked as B1, B2,..., Bb, b≥1 from left to right according to their positions in the list; The.split() method is a cutting method in programming, and the bracket does not add any parameter by default to cut the string with spaces, and the cutting result is finally displayed in the form of a list; S13: using the formula Calculate the image composite pixel average E1 of the complete search information data A1, which needs to be noted that the image composite pixel average is artificially defined to represent the pixel average of the image generated based on the complete search information data A1, and D1 is the entering time of the pre-search user entering the complete search information data, and P1 is a preset image basic pixel average; S14: generating a composite background image based on the complete search information data A1 according to the image composite pixel average E1, and the rgb value of each pixel point in the initial composite background image is (0, 0, 0), and the image specification of the composite background image is E1×E1 pixels; S15: fill the filling composite image of the string B1 according to certain filling generation rules, as follows: S151: obtain all characters in the string B1 and sequentially mark the characters in the string B1 as C1, C2,..., Cc, c≥1 according to the entering order of the pre-search user; S152: using the formula Calculate the incremental value F1 of the RGB value of the character in the string B1; S153: according to the incremental value F1 of the RGB value of the character in the string B1, the character C1 is pixelized and filled into the composite background image, and at this time the RGB value of the pixel point constituting the character C1 in the filled composite background image is (F1, F1, F1), and the pixelization of the character C1 refers to the conversion of the character C1 into a form composed of a plurality of pixel points, which needs to be noted that the character C1 is located at the center of the composite background image; S154: According to S151 to S153, the character C2 is pixelized and filled into the composite background image, at this time the RGB value of the pixel point constituting the character C2 in the composite background image satisfies the condition: The RGB value of all pixel points constituting the character C2 is increased by F1 on the basis of the original; S155: According to S154, the characters C1, C2,..., Cc are pixelized and filled into the composite background image to generate the filling composite image of the string B1; S16: According to S15, the filling composite images of the strings B2, B3,..., Bb are sequentially filled and generated, and they are merged in the order of the strings B1, B2,..., Bb to generate a new filling composite image, all the RGB values of (0, 0, 0) in the new filling composite image are changed to (255, 255, 255), and the positions of the corresponding pixel points are recorded; According to the merged and changed new filling composite image, the combined composite image of the complete search information data A1 is recalibrated, and the composite decoding sequence of the complete search information data A1 is generated according to the positions of the pixel points whose RGB values are changed to (255, 255, 255) and the incremental values F1, F2,..., Fb of the characters in the strings B1, B2,..., Bb; S17: According to S13, the image composite pixel average E1, E2,..., Ea of the complete search information data A1, A2,..., Aa is obtained; According to S15 to S16, the combined composite image of the complete search information data A1, A2,..., Aa and the corresponding composite decoding sequence are calculated and obtained; S18: If the image composite pixel average E1 is the maximum value among the image composite pixel averages E1, E2,..., Ea, the combined composite image of the complete search information data A1 is recalibrated as the expanded combined image of the complete search information data A1; S19: If the image composite pixel average E1 is not the maximum value among the image composite pixel averages E1, E2,..., Ea: S191: The boundary pixel expansion I1 of the combined composite image of the complete search information data A1 is calculated and obtained by using the formula I1=Emax-E1; S192: A region is arbitrarily intercepted from the complete search information data A1, the number of rows of the region is I1, and the number of columns is E1, and the region that satisfies the condition that the maximum number of pixel points with RGB value not equal to (255, 255, 255) in the region is marked as the filling coverage region; S193: generating an expanded combined image of the complete search information data A1 according to the filling coverage area, wherein the image specification of the boundary expanded image is Emax*Emax pixels; and generating an expanded decoding sequence of the complete search information data A1 according to the boundary pixel expansion amount I1 and the combined decoding sequence of the combined image of the complete search information data A1; S110: obtaining the expanded combined image and the expanded decoding sequence of the complete search information data A1, A2,..., Aa according to S18 to S19; The security storage unit generates a search atlas of the current login of the pre-registered user according to the expanded combined image of the complete search information data A1, A2,..., Aa, and generates a decryption sequence document of the current login of the pre-registered user according to the expanded decoding sequence of the complete search information data A1, A2,..., Aa; The security storage unit stores a security key used for encryption, in the embodiment, the security key is a 32-bit character composed of numbers, letters and special symbols generated by an encryption algorithm; The security storage unit encrypts the search atlas and the decryption sequence document of the current login of the pre-registered user using the security key, permanently stores, and sets the access permission thereof; It should be noted that the present application also provides a computer readable storage medium, such as a memory including instructions, which can be executed by a processor in a terminal to complete the above-mentioned information processing method. For example, the computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical storage device, etc.
[0015] Those skilled in the art can understand that all or part of the steps of the above-mentioned embodiments can be completed by hardware, or by a program instructing related hardware to complete, and the program can be stored in a computer readable storage medium, such as a read-only memory, a magnetic disk or an optical disk.
[0016] In the description of the specification, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are contained in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.
[0017] The above merely illustrates and describes one embodiment of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or adopt similar ways to replace, as long as the modifications or supplements do not deviate from the present application or exceed the scope defined by the present claims, and the modifications or supplements shall still belong to the patent coverage scope of the present application.
[0018] The above describes one embodiment of the present application in detail, but the description is only for the preferred embodiment of the present application and cannot be considered as limiting the implementation scope of the present application. Any equivalent changes and improvements made within the scope of the present application shall still belong to the patent coverage scope of the present application.
Claims
1. A highly efficient and stable information processing method, characterized in that, Includes the following steps: Step 1: The retrieval module obtains the identity authentication information of the current pre-retrieval user and provides it to the user to log in and access the enterprise's retrieval service platform. The retrieval module includes a login authentication unit and a retrieval monitoring unit. Step 2: The login authentication unit obtains the identity authentication information entered by the current pre-search user and transmits it to the search service platform. The search service platform includes an identity authentication unit, a search service unit, and a secure storage unit. Step 3: The identity authentication unit performs a consistency match on the identity authentication information of the current pre-search user. If the match is successful, it generates a service activation command and transmits it to the search monitoring unit. Step 4: After receiving the service activation instruction transmitted by the identity authentication unit, the retrieval monitoring unit acquires the complete retrieval information data entered by the pre-retrieval user and transmits it to the retrieval service unit; Step 5: The retrieval service unit stores public information data that is currently provided to users for browsing. After receiving the complete retrieval information data entered by the pre-retrieval user from the retrieval monitoring unit, the retrieval service unit queries the relevant public information data in all the public information data stored in the retrieval service unit according to the characters carried in the data and displays it to the pre-retrieval user for browsing. Step Six: The secure storage unit stores a security key used for encryption. The secure storage unit monitors the login status of the pre-search user. After detecting that the pre-search user has logged into the search service platform, the secure storage unit obtains all the complete search information data entered by the pre-search user during this login process and generates the search atlas and decryption sequence document for the pre-search user's current login according to certain conversion and generation rules. The secure key is then used to encrypt and store the search atlas and decryption sequence document for the pre-search user's current login.
2. The efficient and stable information processing method according to claim 1, characterized in that, The security key stored in the secure storage unit is a 32-bit character consisting of numbers, letters, and special symbols generated by an encryption algorithm.
3. The efficient and stable information processing method according to claim 1, characterized in that, The enterprise's search service platform provides a search box and a search submit button for pre-search users. The search box allows pre-search users to enter characters. After entering the characters in the search box, the pre-search user clicks the search submit button to interact with the enterprise's search service platform.
4. The efficient and stable information processing method according to claim 1, characterized in that, A complete search information data set is defined as the data from when the current pre-search user enters the first character until they click the search submit button. It should be noted that the data type of the complete search information data obtained by the search monitoring unit is a string.
5. The efficient and stable information processing method according to claim 1, characterized in that, The identity authentication information includes the username and password entered by the current pre-search user to log in to the enterprise search service platform.
6. The efficient and stable information processing method according to claim 1, characterized in that, The specific conversion and generation rules for the secure storage unit to generate the search attack and decryption sequence documents for this pre-searched user's current login are as follows: S11: Sequentially obtain all complete search information data entered by the pre-search user during this login process and mark them as A1, A2, ..., Aa in order from the earliest to the latest time when the pre-search user entered the complete search information data, where a≥1. The time when the complete search information data A1 was entered is the furthest from the current time, and the time when the complete search information data Aa was entered is the closest to the current time. S12: Use the .split() method to split the complete search information data A1 to obtain the split list corresponding to the complete search information data A1. The split list stores several strings. All strings in the split list are arranged from left to right according to their position in the list, and labeled as B1, B2, ..., Bb, where b≥1; The .split() method is a splitting method in programming. If no parameters are added in the parentheses, the string will be split by spaces by default. The splitting results are finally displayed in the form of a list. S13； Using formula Calculate the average composite pixel value E1 of the image that obtains the complete search information data A1. It should be noted that the average composite pixel value is defined by humans to represent the average pixel value of the image generated based on the complete search information data A1. D1 is the time when the pre-search user enters the complete search information data, and P1 is the preset basic average pixel value of the image. S14: Generate a composite background image based on complete retrieval information data A1 according to the average pixel value E1 of the composite image. The RGB value of each pixel in the initial composite background image is (0,0,0). The image size of the composite background image is E1×E1 pixels. S15: Generate a filled composite image of string B1 according to certain filling generation rules, as follows: S151: Get all characters in string B1 and mark the characters in string B1 as C1, C2, ..., Cc in the order in which the user entered the characters, where c ≥ 1; S152: Using the formula Calculate the increment value F1 for obtaining the RGB values of characters in string B1; S153: Based on the increment value F1 of the RGB values of the characters in string B1, the character C1 is pixelated and filled into the composite background image. At this time, the RGB values of the pixels that constitute the character C1 in the filled composite background image are (F1, F1, F1). Pixelating the character C1 means converting the character C1 into a form composed of individual pixels. It should be noted that the character C1 is located at the exact center of the composite background image. S154: Following S151 to S153, pixelate character C2 and fill it into the composite background image. At this point, the RGB values of the pixels constituting character C2 in the composite background image satisfy the following condition: The RGB values of all pixels that make up character C2 are incremented by F1 from their original values. S155: Following S154, sequentially pixelate and fill the characters C1, C2, ..., Cc into the composite background image to generate the filled composite image of string B1; S16: According to S15, fill and generate the filled composite images of strings B2, B3, ..., Bb in sequence, and merge them with the filled composite image of string B1 in the order of strings B1, B2, ..., Bb to generate a new filled composite image. Change all RGB values of (0,0,0) in the new filled composite image to (255,255,255) and record the position of the corresponding pixel. Based on the merged and modified new filled composite image, the combined composite image is recalibrated as the complete retrieval information data A1. Based on the position of the pixel with the changed RGB value (255,255,255) and the increment values F1, F2, ..., Fb of the RGB values of the characters in the strings B1, B2, ..., Bb, a composite decoding sequence of the complete retrieval information data A1 is generated. S17: Obtain the image composite pixel average values E1, E2, ..., Ea of the complete retrieval information data A1, A2, ..., Aa according to S13; Calculate and obtain the combined composite image and its corresponding composite decoding sequence of the complete retrieval information data A1, A2, ..., Aa according to S15 to S16; S18: If the average pixel value E1 of the composite image is the maximum value among the average pixel values E1, E2, ..., Ea of the composite image, then the combined composite image of the complete retrieval information data A1 will be recalibrated as the expanded combined image of the complete retrieval information data A1. S19: If the average pixel value E1 of the composite image is not the maximum value among the average pixel values E1, E2, ..., Ea of the composite image: S191: Calculate the boundary pixel expansion amount I1 of the composite image obtained by combining the complete retrieval information data A1 using the formula I1=Emax-E1; S192: Arbitrarily extract a region from the complete retrieval information data A1. The region has I1 rows and E1 columns. The region with the most pixels whose RGB values are not (255,255,255) is marked as the filling and covering region. S193: Based on the filled coverage area, the combined composite image of the complete retrieval information data A1 is expanded to generate an expanded composite image of the complete retrieval information data A1. At this time, the image size of the boundary expanded image is Emax×Emax pixels. And based on the composite decoding sequence of the composite image combined with the boundary pixel expansion amount I1 and the complete retrieval information data A1, the expanded decoding sequence of the complete retrieval information data A1 is generated; S110: Obtain the expanded combined image and expanded decoding sequence of the complete retrieval information data A1, A2, ..., Aa according to S18 to S19; The secure storage unit generates the retrieval image set for the pre-login user's current login based on the expanded combined image of the complete retrieval information data A1, A2, ..., Aa, and generates the decoding sequence document for the pre-login user's current login based on the expanded decoding sequence of the complete retrieval information data A1, A2, ..., Aa.
7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the operations described in any one of claims 1-6 of an efficient and stable information processing method.