Method for automatically preventing crank calls for 5G terminal based on quantum encrypted conversation scene

Abstract

The invention discloses an automatic crank call prevention method for a 5G terminal based on a quantum encrypted call scene. The method comprises the following steps: S1, starting a quantum encrypted call; s2, judging whether the quantum encrypted conversation function is in a normal available state or not; s3, when the encrypted conversation function is normal, the 5G terminal starts a key negotiation process; s4, the 5G terminal monitors the incoming call and generates an anti-harassment AI intelligent identification management table; s5, the 5G terminal analyzes and processes the anti-harassment AI intelligent identification management table by using an algorithm; s6, the 5G terminal executes logic judgment according to the analysis processing result, and then the call is ended; and S7, feeding back the call information to the AI intelligent identification management table, and continuously updating the call information. According to the method, encryption based on the quantum encrypted conversation function is more excellent, intelligent identification and screening are realized based on the anti-harassment AI intelligent identification management table and intelligent service logic processing, and harassment calls are further intercepted, so that information leakage can be effectively prevented, and the security of the harassment calls is improved. Model training is carried out on the initial threshold T of the incoming call and each feature weight, random dynamic change is realized, and the interception efficiency is higher.

Description

Technical Field

[0001] The present invention relates to the field of communications, and in particular to a method for a 5G terminal to automatically prevent harassment calls based on a quantum secret call scenario. Background Art

[0002] Quantum Secret Talk has made significant technological advances, which makes it excellent in providing security. By making full use of quantum encryption technology, the application can provide unprecedented security, ensuring that users can share information more confidently when conducting sensitive communications. Traditional encryption methods often seem powerless in the face of powerful computing power, while Quantum Secret Talk can effectively resist attacks from quantum computers, which allows users to share information more confidently when conducting sensitive communications. In addition, the user base of Quantum Secret Talk is growing steadily. More and more users are beginning to realize the importance of privacy protection, especially in the business and government fields. Corporate executives, government officials, and individuals with special privacy needs have begun to adopt Quantum Secret Talk APP to ensure the security of their communications. This growth in demand has also prompted developers to continuously optimize application performance and improve user experience to meet users' higher requirements for privacy protection.

[0003] However, although the quantum secret talk application performs well in encrypting call information content, it is unable to do some effective screening and interception when faced with harassing calls and fraudulent calls. As quantum communications flourish, we also need solutions to combine with existing quantum secret talk applications to form a multi-level communication security system. On the basis of encrypting call content, through intelligent identification and screening mechanisms, the security of communications and user experience can be further improved. This comprehensive protection measure can not only effectively prevent information leakage, but also greatly reduce the troubles of users, making communications safer and more convenient. Summary of the invention

[0004] The purpose of the present invention is to provide a method for 5G terminals to automatically prevent harassment calls based on quantum secret talk scenarios, which can effectively solve the problems of quantum secret talk anti-harassment and provide users with a safer and more convenient communication experience. In this way, it can not only provide security in terms of content encryption, but also provide multi-level protection during the communication process, making users more assured and satisfied during use.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for automatically preventing harassment calls by a 5G terminal based on a quantum secret call scenario comprises the following steps:

[0007] S1: Quantum secret talk is enabled. First, the quantum SIM card is identified through the 5G terminal and the quantum secret talk function is established;

[0008] S2: Determine whether the quantum secret chat function is in a normal and available state; otherwise, re-identify and establish;

[0009] S3: When the secret call function is normal, the 5G terminal starts the key negotiation process;

[0010] S4: The 5G terminal monitors the incoming call, obtains the caller number, transmits it to the identification module of the 5G terminal, and generates an anti-harassment AI intelligent identification management table;

[0011] S5: The 5G terminal uses an algorithm to analyze and process the anti-harassment AI intelligent identification management table; and dynamically adjusts the weights and thresholds based on historical records;

[0012] S6: The 5G terminal performs logical judgment based on the analysis and processing results, and determines whether to establish a normal quantum secret call or execute the corresponding process based on the judgment results, and then ends the call.

[0013] S7: After the call is over, the information of the call is fed back to the AI ​​intelligent recognition management table for continuous updating;

[0014] Preferably, the identification step is: setting a default initialization password for the quantum SIM card, the 5G terminal retrieves the quantum SIM card to prompt the user to modify the default initial password, the modified password is used as the verification password, and at the same time, the 5G terminal identification information and the quantum SIM card verification password are generated into binding information, and stored in the quantum SIM card, and the 5G terminal automatically completes the identification.

[0015] Preferably, the steps of the key negotiation process are: after the identification is completed, the 5G terminal receives the secret call indication, the quantum server checks the login status of the 5G terminal on the QMS platform, whether there is an authentication token or whether the token is within the validity period, if there is no authentication, directly call the mutual authentication process of the 5G terminal and QMS, if it has been authenticated, the caller and the called party send a key negotiation request to QMS through the data channel.

[0016] Preferably, the anti-harassment AI intelligent identification management table includes but is not limited to whether the incoming call number is in the local address book, the number of historical calls, the specific time of historical calls, the duration of historical calls, the location of the incoming call number, and whether the incoming call number is blacklisted / whitelisted.

[0017] Preferably, the analysis and processing steps of the algorithm are as follows:

[0018] a. Define features and assign values:

[0019] Let f1 be the incoming call number whether it exists in the local address book,

[0020] -Let f2 be the number of times the historical call occurred;

[0021] -Let f3 be the specific time of the historical call;

[0022] -Let f4 be the duration of the historical call;

[0023] -Let f5 be the location of the incoming call number;

[0024] -Let f6 be whether the incoming call number is blacklisted / whitelisted;

[0025] b. Assign weights to each feature:

[0026] Let w1,w2,w3,w4,w5,w6 be the weights of the above features respectively;

[0027] c. Calculate the weighted score: Score = w1*f1+w2*f2+w3*f3+w4*f4+w5*f5+w6*f6;

[0028] d. Set the threshold: Let T be the initial threshold for judging incoming calls;

[0029] f. Output weighted score Score.

[0030] Preferably, the assignment principle of each feature is:

[0031] Whether the telephone number exists in the local address book: if it is in the local address book, f1 = 1, otherwise f1 = 0;

[0032] Number of historical calls: f2 is actually assigned a value of 1, 2, 3, etc. according to the number of historical calls;

[0033] Specific time of historical calls: different values ​​are assigned according to the time period of the day;

[0034] Duration of historical calls: Duration is in hours, calculated based on the actual situation of each call;

[0035] Location of the incoming call number: the value is assigned based on the statistics of the locations of the previous harassing calls. The more harassing calls there are, the smaller the value is assigned.

[0036] Is the incoming call number on the blacklist / whitelist? If it is on the whitelist, f6=1; if it is on the blacklist, f6=0.

[0037] Preferably, the initial threshold T of the incoming call and each feature weight w1, w2, w3, w4, w5, w6 change dynamically according to the training model;

[0038] Preferably, the incoming call types include but are not limited to normal calls, harassing calls, suspicious calls, advertising or other calls.

[0039] Preferably, the step of performing logical judgment is:

[0040] When Score>1, it is considered a normal call and the normal quantum secret call process is executed;

[0041] When 0.7<Score<<1, it is judged as a nuisance call and the automatic hang-up process is executed;

[0042] When 0.5<Score<<0.7, it is judged as a suspicious call, and a warning message and call reminder are sent to the user, and the user decides whether to answer the quantum secret call;

[0043] When 0.3<Score<<0.5, it is judged as an advertisement or other incoming call, and the voice is transferred to the voice mailbox process;

[0044] The beneficial effects of the present invention are:

[0045] 1. Compared with traditional calls, the call information encryption based on the quantum secret call function is more outstanding. Secondly, based on the anti-harassment AI intelligent recognition management table and intelligent business logic processing, intelligent recognition and screening are realized. Further interception of harassing calls can not only effectively prevent information leakage, but also greatly reduce the user's troubles and make communication safer and more convenient.

[0046] 2. By training the model for the initial threshold T of incoming calls and the weight of each feature, the interception efficiency is higher with random dynamic changes. For operators, the automatic anti-harassment call function through quantum secret calls can reduce network congestion and resource waste caused by spam calls, which not only improves the utilization of network resources, but also reduces the operating costs of operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a logical schematic diagram of the present invention;

[0048] Figure 2 is a flow chart of the method of the present invention; DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0050] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention. In the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0051] See also Figure 1-Figure 2 , a method for automatically preventing harassment calls based on quantum secret call scenarios for 5G terminals, comprising the following steps:

[0052] S1: Quantum secret talk is enabled. First, the quantum SIM card is identified through the 5G terminal and the quantum secret talk function is established;

[0053] S2: Determine whether the quantum secret chat function is in a normal and available state; otherwise, re-identify and establish;

[0054] S3: When the secret call function is normal, the 5G terminal starts the key negotiation process;

[0055] S4: The 5G terminal monitors the incoming call, obtains the caller number, transmits it to the identification module of the 5G terminal, and generates an anti-harassment AI intelligent identification management table;

[0056] S5: The 5G terminal uses an algorithm to analyze and process the anti-harassment AI intelligent identification management table; and dynamically adjusts the weights and thresholds based on historical records;

[0057] S6: The 5G terminal performs logical judgment based on the analysis and processing results, and determines whether to establish a normal quantum secret call or execute the corresponding process based on the judgment results, and then ends the call.

[0058] S7: After the call is over, the information of the call is fed back to the AI ​​intelligent recognition management table for continuous updating;

[0059] The specific steps of the identification are as follows: when the quantum SIM card is used for the first time, a default initialization password will be set for entry. When the user uses the 5G terminal for the first time and calls the quantum SIM card application, the user is prompted to change the default password. The modified default password is used as the verification password, and the terminal identification information and the SIM card verification password are generated and bound to the quantum SIM card. Only then can the quantum call function be enabled, and subsequent operations do not require the SIM card verification password to be entered, and the terminal automatically completes the process.

[0060] The steps of the key negotiation process are as follows: after the identification is completed, the 5G terminal receives the secret call indication, and the quantum server checks the login status of the 5G terminal on the QMS platform, whether there is an authentication token or whether the token is within the validity period. If there is no authentication, the mutual authentication process of the 5G terminal and QMS is directly called. If it has been authenticated, the calling and called parties send a key negotiation request to QMS through the data channel.

[0061] Reference Figure 2 The anti-harassment AI intelligent identification management table includes whether the incoming call number exists in the local address book, the number of historical calls, the specific time of historical calls, the duration of historical calls, the location of the incoming call number, and whether the incoming call number is blacklisted / whitelisted.

[0062] The analysis and processing steps of the algorithm are as follows:

[0063] a. Define features and assign values:

[0064] Let f1 be the incoming call number whether it exists in the local address book,

[0065] -Let f2 be the number of times the historical call occurred;

[0066] -Let f3 be the specific time of the historical call; for example, 2pm to 6pm is the peak period for harassing calls and can be given a higher weight.

[0067] -Let f4 be the duration of the historical call;

[0068] - Let f5 be the location of the incoming call number; assign a value based on the previous statistics of the locations of harassing calls, and the more harassing calls there are, the smaller the value assigned.

[0069] -Let f6 be whether the incoming call number is blacklisted / whitelisted;

[0070] b. Assign weights to each feature:

[0071] Let w1,w2,w3,w4,w5,w6 be the weights of the above features respectively;

[0072] c. Calculate the weighted score: Score = w1*f1+w2*f2+w3*f3+w4*f4+w5*f5+w6*f6;

[0073] d. Set the threshold: Let T be the initial threshold for judging incoming calls;

[0074] f. Output weighted score Score.

[0075] The assignment principle of each feature is as follows:

[0076] Whether the telephone number exists in the local address book: if it is in the local address book, f1 = 1, otherwise f1 = 0;

[0077] Number of historical calls: f2 is actually assigned a value of 1, 2, 3, etc. according to the number of historical calls;

[0078] Specific time of historical calls: different values ​​are assigned according to the time period of the day;

[0079] Duration of historical calls: Duration is in hours, calculated based on the actual situation of each call;

[0080] Location of the incoming call number: the value is assigned based on the statistics of the locations of the previous harassing calls. The more harassing calls there are, the smaller the value is assigned.

[0081] Is the incoming call number on the blacklist / whitelist? If it is on the whitelist, f6=1; if it is on the blacklist, f6=0.

[0082] The initial threshold T of the incoming call and each feature weight w1, w2, w3, w4, w5, w6 change dynamically according to the historical simulation results;

[0083] The incoming call types include but are not limited to normal calls, harassing calls, suspicious calls, advertising or other calls.

[0084] The steps of performing logical judgment are:

[0085] When Score>1, it is considered a normal call and the normal quantum secret call process is executed;

[0086] When 0.7<Score<<1, it is judged as a nuisance call and the automatic hang-up process is executed;

[0087] When 0.5<Score<<0.7, it is judged as a suspicious call, and a warning message and call reminder are sent to the user, and the user decides whether to answer the quantum secret call;

[0088] When 0.3<Score<<0.5, it is judged as an advertisement or other incoming call, and the voice is transferred to the voice mailbox process;

[0089] After the call ends, the call information is automatically stored in the anti-harassment AI intelligent recognition management table, forming the basis for the judgment weight of the next incoming call.

[0090] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals, characterized in that: The steps include: S1: Quantum secret talk is enabled. First, the quantum SIM card is identified through the 5G terminal and the quantum secret talk function is established; S2: Determine whether the quantum secret chat function is in a normal and available state; otherwise, re-identify and establish; S3: When the secret call function is normal, the 5G terminal starts the key negotiation process; S4: The 5G terminal monitors the incoming call, obtains the caller number, transmits it to the identification module of the 5G terminal, and generates an anti-harassment AI intelligent identification management table; S5: The 5G terminal uses an algorithm to analyze and process the anti-harassment AI intelligent identification management table; and dynamically adjusts the weights and thresholds based on historical records; S6: The 5G terminal performs logical judgment based on the analysis and processing results, and determines whether to establish a normal quantum secret call or execute the corresponding process based on the judgment results, and then ends the call; S7: After the call ends, the information of this call is fed back to the AI ​​intelligent recognition management table for continuous updating.

2. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The identification steps are as follows: a default initialization password is set for the quantum SIM card, the 5G terminal retrieves the quantum SIM card and prompts the user to modify the default initial password, the modified password is used as the verification password, and at the same time, the 5G terminal identification information and the quantum SIM card verification password are generated into binding information and stored in the quantum SIM card, and the 5G terminal automatically completes the identification.

3. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The steps of the key negotiation process are as follows: after the identification is completed, the 5G terminal receives the secret call indication, and the quantum server checks the login status of the 5G terminal on the QMS platform, whether there is an authentication token or whether the token is within the validity period. If there is no authentication, the mutual authentication process of the 5G terminal and QMS is directly called. If it has been authenticated, the calling and called parties send a key negotiation request to QMS through the data channel.

4. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The anti-harassment AI intelligent recognition management table includes but is not limited to whether the incoming call number is in the local address book, the number of historical calls, the specific time of historical calls, the duration of historical calls, the location of the incoming call number, and whether the incoming call number is in the blacklist / whitelist.

5. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The analysis and processing steps of the algorithm are as follows: a. Define features and assign values: Let f1 be the incoming call number whether it exists in the local address book, -Let f2 be the number of times the historical call occurred; -Let f3 be the specific time of the historical call; -Let f4 be the duration of the historical call; -Let f5 be the location of the incoming call number; -Let f6 be whether the incoming call number is blacklisted / whitelisted; b. Assign weights to each feature: Let w1,w2,w3,w4,w5,w6 be the weights of the above features respectively; c. Calculate the weighted score: Score = w1*f1+w2*f2+w3*f3+w4*f4+w5*f5+w6*f6; d. Set the threshold: Let T be the initial threshold for judging incoming calls; f. Output weighted score Score.

6. According to claim 5, a method for automatically preventing harassment calls by a 5G terminal based on a quantum secret call scenario is characterized in that: The assignment principle of each feature is: Whether the telephone number exists in the local address book: if it is in the local address book, f1 = 1, otherwise f1 = 0; Number of historical calls: f2 is actually assigned a value of 1, 2, 3, etc. according to the number of historical calls; Specific time of historical calls: different values ​​are assigned according to the time period of the day; Duration of historical calls: The duration is in hours and is counted according to each actual situation; Location of the incoming call number: Assigned according to the statistics of the location of previous harassing calls. The location with more harassing calls is assigned a smaller value; Whether the incoming call number is in the blacklist / whitelist: If it is in the whitelist, then f6 = 1, and if it is in the blacklist, f6 = 0.

7. According to claim 6, a method for automatically preventing harassment calls by a 5G terminal based on a quantum secret call scenario is characterized in that: The initial threshold T of the incoming call and each feature weight w1, w2, w3, w4, w5, w6 change dynamically according to the training model.

8. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The types of incoming calls include but are not limited to normal incoming calls, harassing incoming calls, suspicious calls, advertisements or other incoming calls.

9. According to claim 1, a method for automatically preventing harassment calls based on quantum secret talk scenarios for 5G terminals is characterized by: The steps for performing the logical judgment are as follows: When: Score > 1, it is judged as a normal incoming call, and the normal quantum encrypted call process is executed; 0.7 < Score << 1, it is judged as a harassing incoming call, and the automatic hang-up process is executed; 0.5 < Score << 0.7, it is judged as a suspicious call, and a warning reminder message and an incoming call reminder are given to the user, and the user judges whether to answer this quantum encrypted call; 0.3 < Score << 0.5, it is judged as an advertisement or other incoming call, and the voice is transferred to the voicemail process.

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