High-concurrency data processing platform based on 5G communication base station

Abstract

The present invention discloses a high-concurrency data processing platform based on a 5G communication base station, and relates to the field of communication technology. The present invention obtains the login information of a target enterprise by setting a login unit, and the pre-protection unit analyzes and replaces the login password in the login information bit by bit based on the security word list and security sequence list issued by the resource expansion service platform when the target enterprise registers a login account, and obtains the characteristic index of each bit in the login password based on this login. The resource expansion service platform authenticates it and opens the resource expansion service authority to it, effectively avoiding the adverse effects caused by frequent application for services. On the one hand, the use of the security word list and the security sequence list adds multiple security guarantees to the login password, making it difficult for illegal users to crack the login information, ensuring the security of the resource expansion service, and on the other hand, the bit-by-bit analysis and replacement method can more accurately identify legitimate users, improving the accuracy and reliability of authentication.

Description

Technical Field

[0001] The present invention relates to the field of communication technologies, and in particular to a high-concurrency data processing platform based on a 5G communication base station. Background Art

[0002] With the rapid development of 5G technology, the amount of data carried by 5G communication base stations has exploded. The high-concurrency data processing requirements have posed severe challenges to the data processing platform of communication base stations. In this context, resource expansion has become one of the key means to improve the performance of data processing platforms.

[0003] At present, the existing resource expansion solutions are mainly based on load prediction models. By analyzing historical load data, a load prediction model is constructed to plan resource allocation and expansion in advance. However, during the resource expansion process, frequent applications will increase the risk of authentication information leakage. This risk may not only cause the data processing platform of the communication base station to face security threats, but also may affect the confidentiality and integrity of user data.

[0004] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a high-concurrency data processing platform based on a 5G communication base station, in order to solve the problems raised in the above background technology;

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] High-concurrency data processing platform based on 5G communication base stations, including:

[0008] A pre-protection unit, used to extract the login password contained in the login information after receiving the login information keyed in by the corresponding target enterprise manager;

[0009] Combine the security word list, security sequence list and login whitelist of the target enterprise to generate the characteristic index of this login for each character in the login password bit by bit and concatenate them to generate the identity characteristic sequence of this login of the target enterprise;

[0010] The login whitelist stores a number of English words contained in the security word list and a number of digital sequences contained in the security sequence list;

[0011] The security word list and security sequence list are generated by the resource expansion service platform based on the registration password included in the registration information when the target enterprise manager registers an account.

[0012] Furthermore, the resource expansion service platform includes a security information generation unit, and for a target enterprise that has passed the registration information authentication, the security information generation unit obtains the registration account and registration password contained in the registration information, wherein the registration information includes the enterprise information, registration account and registration password of the target enterprise;

[0013] Generate the security word list and security sequence list of the target enterprise according to the registration password and the preset generation rules.

[0014] Furthermore, the generation rules of the security word list of the target enterprise are as follows:

[0015] S11: extracting English characters from the registration password one by one from left to right, and marking all the extracted English characters as A1, A2, ..., Aa in the order of extraction, where a is the total number of English characters in the registration password, and the value range of a is 1≤a<16;

[0016] S12: randomly generating P1 English words based on the English character A1, wherein one English word is composed of a certain number of uppercase and lowercase English letters, and one English word contains at least one English character A1, wherein P1 is a preset designated number indicator of generated words;

[0017] S13: According to S12, P1 corresponding English words are randomly generated based on English characters A2, A3, ..., Aa in turn, and after the P1 English words randomly generated based on English character Aa, the generated a*P1 English words are scattered and sorted, and the security word list of the target enterprise is generated according to the scattered and sorted a*P1 English words.

[0018] Furthermore, after receiving the transmitted identity feature sequence of the target enterprise's login, the security information generation unit combines the target enterprise's security word list, security sequence list and login whitelist to generate an authentication feature sequence for the target enterprise's login, and compares the authentication feature sequence and the identity feature sequence for consistency. If they are consistent, an authentication success instruction is generated.

[0019] Beneficial effects of the present invention:

[0020] (1) The present invention obtains the login information of the target enterprise by setting up a login unit, and the pre-protection unit analyzes and replaces the login password in the login information bit by bit based on the security word list and security sequence list issued by the resource expansion service platform when the target enterprise registers a login account, and obtains the characteristic index of each bit in the login password based on this login. The resource expansion service platform authenticates it and opens the resource expansion service permission to it. In this way, the adverse effects caused by frequent application for services are effectively avoided. On the one hand, the use of the security word list and the security sequence list adds multiple security protections to the login password, making it difficult for illegal users to crack the login information, thereby ensuring the security of the resource expansion service. On the other hand, the bit-by-bit analysis and replacement method can more accurately identify legitimate users, thereby improving the accuracy and reliability of authentication;

[0021] (2) When calculating the characteristic index of this login for each character in the login password, the present invention first determines the type of character and selects the table type corresponding to its characteristic index according to the type of character. Several English words or number sequences containing corresponding characters are selected from the corresponding table, and the number of characters and the number of digits of the characters in the corresponding selected English words or number sequences are extracted. The characteristic matrix of the corresponding characters is constructed to obtain the characteristic index of each character in the login password. In this way, the accuracy and reliability of the calculation of the characteristic index of the login password are greatly improved. Different types of characters correspond to different table types, which can be analyzed and processed more specifically. English words or number sequences containing corresponding characters and not in the login whitelist are selected, which effectively increases the complexity and security of the password. The construction of the characteristic matrix provides a more comprehensive basis for the subsequent authentication process. At the same time, this method also greatly increases the difficulty of cracking the login password, effectively preventing the intrusion of illegal users;

[0022] (3) The present invention introduces a login whitelist when selecting a number of English words and digital sequences for each character in the login password. By setting the login whitelist, it can be ensured that the character feature matrix constructed for each login has a certain degree of variability. In this way, the security and difficulty of cracking the login password during frequent applications are effectively guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention will be further described below in conjunction with the accompanying drawings.

[0024] Figure 1 is a system block diagram of the present invention;

[0025] Figure 2 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] like Figure 1 , 2 As shown, a high-concurrency data processing platform based on 5G communication base stations includes a client terminal and a resource expansion service platform;

[0028] The client terminal is used by the target enterprise to log in to the resource expansion service platform and apply for resource expansion services. The client terminal includes a login unit, a pre-protection unit, and an expansion application unit. The target enterprise refers to a trusted enterprise that applies for resource expansion services in order to cope with high concurrency.

[0029] The login unit obtains the login information keyed in by the target enterprise manager and transmits it to the pre-protection unit. The login information includes a login account and a login password, wherein the login password is composed of 14-16 digits and uppercase and lowercase letters.

[0030] The front protection unit pre-stores a security word list and a security sequence list generated by the resource expansion service platform for the target enterprise manager when the manager registers an account on the resource expansion service platform, wherein the security word list contains a number of words composed of a random number of uppercase and lowercase letters, and the security sequence list contains a number of sequences composed of a random number of numbers;

[0031] The pre-protection unit also updates and stores a login whitelist, which contains a number of English words and number sequences;

[0032] After receiving the transmitted login information, the pre-protection unit extracts the login password therein, combines the security word list and security sequence list of the target enterprise, and generates the identity feature sequence of the target enterprise's login according to the preset generation rules. The generation steps are as follows:

[0033] S31: extracting all characters constituting the login password in sequence from left to right, and marking all the extracted characters as C1, C2, ..., Cc in sequence according to the extraction order, where c is the total number of characters constituting the login password;

[0034] S32: Determine whether the character C1 is an English letter or a number. If the character C1 is an English letter, generate the character C1 based on the characteristic index N1 of this login according to the preset letter generation rule in combination with the security word list. The letter generation rule is as follows:

[0035] SS11: extract e English words containing character C1 and not included in the login whitelist from the security word list in order from top to bottom; mark all the extracted English words as D1, D2, ..., De in order of extraction, where e is a preset password character redundancy threshold;

[0036] Each time an English word is extracted, the total number of characters constituting the English word and the number of digits of the character C1 in the English word are obtained, and then the total number is added to the word number list F1, and the number of digits is added to the word number list G1;

[0037] The initial word quantity list F1 and word digit list G1 are empty lists. It should be noted that the digits of the character C1 in the English word are obtained from left to right. The digits of the characters in the English word from left to right are 1, 2, ..., n1, where n1 is the total number of characters constituting the English word.

[0038] Temporarily store the English word D1 as the identification character of the character C1;

[0039] SS12: After the total number of characters constituting the English word De and the number of digits of the character C1 therein are added to the word number list F1 and the word number of digits list G1 respectively, a same initial value is assigned to each element in the word number list F1 and the word number of digits list G1. In this embodiment, the initial values ​​are all 1.

[0040] SS13: Obtain all elements contained in the word quantity list F1 from left to right, label them as I1, I2, ..., Ii, i ≥ 1, and label the initial values ​​of the elements I1, I2, ..., Ii as J1, J2, ..., Ji;

[0041] SS14: The steps of updating and determining the initial value of the element I1 are as follows: because the subscript index of the element I1 in the word quantity list F1 is 0, it is determined that the initial value of the element I1 does not need to be updated, and the initial value J1 of the element I1 is not modified;

[0042] The steps for updating and determining the initial value of element I2 are as follows: Compare the value of element I2 with all elements whose subscript indices are less than it, that is, compare element I2 with I1. If I2 > I1, it is determined that the initial value of element I2 needs to be updated, and the new initial value J2 of element I2 is calculated using the formula J2 = max(J2, J1 + 1), where J1 and J2 in the parentheses of the formula are the initial values of elements I1 and I2 before the update and determination of the initial value of element I2. If I2 ≤ I1, it is determined that the initial value of element I2 does not need to be updated, and the initial value J2 of element I2 is not modified;

[0043] SS15: The steps for updating and determining the initial value of element I3 are as follows: Compare the value of element I3 with all elements whose subscript indices are less than it, that is, compare element I3 with I1 and I2 in turn. If there are several elements among elements I1 and I2 whose values are less than element I3, it is determined that the initial value of element I3 needs to be updated. At this time, the formula J3 = max(J3, Jf + 1) is used, where Jf in the parentheses of the formula refers to the initial value of each element among all elements whose subscript indices are less than element I3 and whose values are less than element I3. Otherwise, it is determined that the initial value J3 of element I3 does not need to be updated, and the initial value J3 of element I3 is not modified;

[0044] SS16: Sequentially update and determine the initial values of elements I4, I5,..., Ii according to SS14 to SS15, and obtain the corresponding initial values J4, J5,..., Ji after the update and determination;

[0045] SS17: Obtain all elements included in the word bit number list G1 at this time from left to right, and mark them as K1, K2,..., Kk in turn, where k ≥ 1. Sequentially update and determine the initial values of elements K1, K2,..., Kk according to SS4 to SS6, and obtain the corresponding initial values L1, L2,..., Lk after the update and determination;

[0046] SS18: Construct the feature matrix M1 based on character C1 according to the initial values J1, J2,..., Ji and the initial values L1, L2,..., Lk. If i > k, the feature matrix at this time , if i = k, the feature matrix at this time , if i < k, the feature matrix at this time , where P3 is a preset letter matrix filling constant;

[0047] SS19: Calculate and obtain the feature index N1 of character C1 based on this login using the equation , where P5 is a preset 2*2 identity matrix and N1 is a positive number;

[0048] S33: If the character C1 is a digit, generate a feature index N1 of the character C1 based on the current login according to a preset digit generation rule in combination with the security sequence list. The digit generation rule is as follows:

[0049] SS21: Extract e digit sequences that contain the character C1 and are not included in the login whitelist from the security sequence list in the order from top to bottom, and sequentially mark all the extracted digit sequences as T1, T2,..., Tt according to the extraction order;

[0050] For each extracted digit sequence, obtain the total number of characters constituting the digit sequence and the number of digits of the character C1 in the digit sequence respectively, add the total number to the sequence quantity list Q1, and add the number of digits to the sequence digit list R1;

[0051] The initial sequence quantity list Q1 and sequence digit list R1 are empty lists. It should be noted here that the number of digits of the character C1 in the digit sequence is obtained in the order from left to right. The digits constituting the digit sequence from left to right are 1, 2,..., n2 in sequence, where n2 is the total number of characters constituting the digit sequence;

[0052] Temporarily store the digit sequence T1 as the identification sequence of the character C1;

[0053] SS22: Sequentially update and determine the initial values of each element in the sequence quantity list Q1 from left to right according to SS14 to SS15, and correspondingly obtain the initial values U1, U2,..., Uu of all elements after update, where u≥1;

[0054] Sequentially update and determine the initial values of each element in the sequence digit list R1 from left to right, and correspondingly obtain the initial values V1, V2,..., Vv of all elements after update, where v≥1;

[0055] SS23: Construct a feature matrix M1 based on the character C1 according to the initial values U1, U2,..., Uu and the initial values V1, V2,..., Vv. If u>v, the feature matrix at this time If u = v, the feature matrix at this time If u<v, the feature matrix at this time where P4 is a preset sequence matrix filling constant;

[0056] SS24: Use the equation to calculate and obtain the feature index N1 of the character C1 based on the current login. N1 is a positive number;

[0057] S34: according to S32 to S33, characteristic indicators of characters C2, C3, ..., Cc based on this login are calculated in sequence, and the characteristic indicators of characters C1, C2, ..., Cc based on this login are concatenated in the order in which the characteristic indicators are obtained to obtain the identity characteristic sequence of the local login of the target enterprise;

[0058] The pre-protection unit transmits the identity feature sequence of the target enterprise's current login and the login account to the resource expansion service platform;

[0059] Resource expansion service platform, used to provide resource expansion services to target enterprises that have passed identity authentication. The resource expansion service platform includes a security information generation unit and an expansion response unit;

[0060] For a target enterprise that has passed the registration information authentication, the security information generation unit obtains the registration account and registration password contained in the registration information, wherein the registration information includes the enterprise information, registration account and registration password of the target enterprise;

[0061] The security word list and security sequence list of the target enterprise are generated according to the registration password and the preset generation rules. The steps of generating the security word list are as follows:

[0062] S11: extracting English characters from the registration password one by one from left to right, and marking all the extracted English characters as A1, A2, ..., Aa in the order of extraction, where a is the total number of English characters in the registration password, and the value range of a is 1≤a<16;

[0063] S12: randomly generating P1 English words based on the English character A1, wherein one English word is composed of a certain number of uppercase and lowercase English letters, and one English word contains at least one English character A1, wherein P1 is a preset designated number indicator of generated words;

[0064] S13: randomly generate corresponding P1 English words based on English characters A2, A3, ..., Aa in sequence according to S12, and after the P1 English words randomly generated based on English character Aa, scatter and sort the generated a*P1 English words, and generate the security word list of the target enterprise according to the scatter and sorted a*P1 English words;

[0065] The steps to generate the security sequence list are as follows:

[0066] S21: extracting numeric characters from the registration password one by one from left to right, and marking all the extracted numeric characters as B1, B2, ..., Bb in the order of extraction, where b is the total number of numeric characters in the registration password, and the value range of b is 1≤b<16;

[0067] S22: randomly generating P2 digital sequences based on the digital character B1, wherein one digital sequence is composed of a certain number of numbers, and one digital sequence contains at least one digital character B1, wherein P2 is a preset designated number indicator of the generated sequences;

[0068] S23: randomly generate corresponding P2 digital sequences based on the digital characters B2, ..., Bb in sequence according to S22, and scatter and sort the generated b*P2 digital sequences after the P2 digital sequences randomly generated based on the digital character Bb, and generate the security sequence list of the target enterprise according to the scattered and sorted b*P2 digital sequences;

[0069] The security information generation unit sends the generated security word list and security sequence list of the target enterprise to the pre-protection unit of the corresponding client terminal for storage;

[0070] At the same time, the security information generation unit stores the registration information of the target enterprise and its security word list and security sequence list;

[0071] After receiving the transmitted identity feature sequence of the target enterprise for this login, the security information generation unit combines the security word list, security sequence list and login whitelist of the target enterprise to generate the authentication feature sequence of the target enterprise for this login, compares the authentication feature sequence with the identity feature sequence for consistency, and compares the login password with the registered account of the target enterprise for consistency. If they are consistent, an authentication success instruction is generated and transmitted to the expansion response unit and the corresponding pre-protection unit respectively;

[0072] After receiving the transmitted authentication success instruction, the expansion response unit opens the expansion service authority to the corresponding target enterprise;

[0073] After receiving the transmitted authentication success instruction, the corresponding front protection unit transmits it to the expansion application unit, and the expansion applicant obtains the expansion strategy input by the target enterprise manager to apply for resource expansion service;

[0074] At the same time, the pre-protection unit updates and stores the login whitelist of the target enterprise stored therein according to the preset update rules, and the update steps are as follows:

[0075] Obtain the identification sequence of characters C1, C2, ..., Cc in sequence, and add them to the login whitelist of the target enterprise in sequence. At this time, the identification sequence of characters C1, C2, ..., Cc corresponds to a count number, and the initial count number is 0;

[0076] Every time an identification sequence with the same total number of characters in the target enterprise's login password is added to the login whitelist, the count of all the remaining identification sequences in the login whitelist, except for the newly added identification sequences, will be incremented by 1;

[0077] When there are some identification sequences in the login whitelist of the target enterprise and the count number is P6, the corresponding identification sequences are removed from the login whitelist of the target enterprise;

[0078] The security information generation unit synchronously updates the login whitelist of the target enterprise, and the updating steps are the same as the updating steps of the login whitelist of the target enterprise by the pre-protection unit.

[0079] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation 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.

[0080] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0081] 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. A high-concurrency data processing platform based on 5G communication base stations, characterized in that: include: A pre-protection unit, used to extract the login password contained in the login information after receiving the login information keyed in by the corresponding target enterprise manager; Combine the security word list, security sequence list and login whitelist of the target enterprise to generate the characteristic index of this login for each character in the login password bit by bit and concatenate them to generate the identity characteristic sequence of this login of the target enterprise; The login whitelist stores a number of English words contained in the security word list and a number of digital sequences contained in the security sequence list; The security word list and security sequence list are generated by the resource expansion service platform based on the registration password contained in the registration information when the target enterprise manager registers an account; The resource expansion service platform includes a security information generation unit; For a target enterprise that has passed the registration information authentication, the security information generation unit obtains the registration account and registration password contained in the registration information, wherein the registration information includes the enterprise information, registration account and registration password of the target enterprise; Generate a security word list and a security sequence list of the target enterprise according to the registration password and a preset generation rule; The generation rules of the target enterprise's security word list are as follows: S11: extracting English characters from the registration password one by one from left to right, and marking all the extracted English characters as A1, A2, ..., Aa in the order of extraction, where a is the total number of English characters in the registration password, and the value range of a is 1≤a<16; S12: randomly generating P1 English words based on the English character A1, wherein one English word is composed of a certain number of uppercase and lowercase English letters, and one English word contains at least one English character A1, wherein P1 is a preset designated number indicator of generated words; S13: According to S12, P1 corresponding English words are randomly generated based on English characters A2, A3, ..., Aa in turn, and after the P1 English words randomly generated based on English character Aa, the generated a*P1 English words are scattered and sorted, and the security word list of the target enterprise is generated according to the scattered and sorted a*P1 English words.

2. The high-concurrency data processing platform based on a 5G communication base station according to claim 1 is characterized in that: The steps for generating the identity feature sequence of the target enterprise's login are as follows: S31: extracting all characters constituting the login password in sequence from left to right, and marking all the extracted characters as C1, C2, ..., Cc in sequence according to the extraction order, where c is the total number of characters constituting the login password; S32: Determine whether the character C1 is an English letter or a number. If the character C1 is an English letter, generate the character C1 based on the characteristic index N1 of the current login and the identification character of the character C1 according to the preset letter generation rule in combination with the security word list; S33: if the character C1 is a number, generate the character C1 based on the characteristic index N1 of the current login and the identification character of the character C1 according to the preset number generation rule in combination with the security sequence table; S34: According to S32 to S33, characteristic indicators of characters C2, C3, ..., Cc based on this login and their identification characters are calculated in sequence, and the characteristic indicators of characters C1, C2, ..., Cc based on this login are concatenated in the order in which the characteristic indicators are obtained to obtain the identity characteristic sequence of the local login of the target enterprise.

3. The high-concurrency data processing platform based on a 5G communication base station according to claim 2 is characterized in that: In S32, if the character C1 is an English letter, the rule for generating the character C1 based on the characteristic index N1 of this login is as follows: SS11: extract e English words containing character C1 and not included in the login whitelist from the security word list in order from top to bottom; mark all the extracted English words as D1, D2, ..., De in order of extraction, where e is a preset password character redundancy threshold; Each time an English word is extracted, the total number of characters constituting the English word and the number of digits of the character C1 in the English word are obtained, and then the total number is added to the word number list F1, and the number of digits is added to the word number list G1; Temporarily store the English word D1 as the identification character of the character C1; SS12: After the total number of characters constituting the English word De and the number of digits of the character C1 therein are added to the word quantity list F1 and the word number of digits list G1 respectively, the same initial value is assigned to each element in the word quantity list F1 and the word number of digits list G1; SS13: Obtain all elements contained in the word quantity list F1 from left to right, label them as I1, I2, ..., Ii, i ≥ 1, and label the initial values ​​of the elements I1, I2, ..., Ii as J1, J2, ..., Ji; SS14: The steps of updating and determining the initial value of the element I1 are as follows: because the subscript index of the element I1 in the word quantity list F1 is 0, it is determined that the initial value of the element I1 does not need to be updated, and the initial value J1 of the element I1 is not modified; The steps for determining the update of the initial value of the element I2 are as follows: compare the element I2 with all elements whose subscript index is smaller than the element I2 in terms of numerical value, that is, compare the element I2 with I1. If I2>I1, it is determined that the initial value of the element I2 needs to be updated, and the formula J2=max(J2,J1+1) is used to calculate and obtain the new initial value J2 of the element I2, wherein J1 and J2 in the brackets of the formula are the initial values ​​of the elements I1 and I2 when the initial value of the element I2 is not determined to be updated. If I2≤I1, it is determined that the initial value of the element I2 does not need to be updated, and the initial value J2 of the element I2 is not modified. SS15: According to SS14, the initial values ​​of elements I3, I4, ..., Ii are updated in turn, and the corresponding initial values ​​J3, J4, ..., Ji after the update determination are obtained; SS16: Obtain all elements contained in the word digit list G1 from left to right, mark them as K1, K2, ..., Kk, k ≥ 1, and update the initial values ​​of the elements K1, K2, ..., Kk in turn according to SS14 to SS15, and obtain the corresponding initial values ​​L1, L2, ..., Lk after the update determination; SS17: Construct a feature matrix M1 based on character C1 according to initial values ​​J1, J2, ..., Ji and initial values ​​L1, L2, ..., Lk; And using the equation The characteristic index N1 of the character C1 based on the current login is calculated, where P5 is a preset 2*2 unit matrix and N1 is a positive number.

4. The high-concurrency data processing platform based on a 5G communication base station according to claim 1, characterized in that: After receiving the transmitted identity feature sequence of the target enterprise for this login, the security information generation unit combines the security word list, security sequence list and login whitelist of the target enterprise to generate the authentication feature sequence of the target enterprise for this login, and compares the authentication feature sequence and the identity feature sequence for consistency. If they are consistent, an authentication success instruction is generated.

5. The high-concurrency data processing platform based on a 5G communication base station according to claim 4 is characterized in that: After receiving the transmitted authentication success instruction, the pre-protection unit updates and stores the login whitelist of the target enterprise stored therein, and the updating steps are as follows: Obtain the identification sequence of characters C1, C2, ..., Cc in sequence, and add them to the login whitelist of the target enterprise in sequence. At this time, the identification sequence of characters C1, C2, ..., Cc corresponds to a count number, and the initial count number is 0; Every time an identification sequence with the same total number of characters in the target enterprise's login password is added to the login whitelist, the count of all the remaining identification sequences in the login whitelist, except for the newly added identification sequences, will be incremented by 1; When there are some identification sequences in the login whitelist of the target enterprise and the count times are P6, the corresponding identification sequences are removed from the login whitelist of the target enterprise.

6. The high-concurrency data processing platform based on a 5G communication base station according to claim 4, characterized in that: After the security information generation unit generates an authentication success instruction, it updates and stores the login white list of the target enterprise stored therein.

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