CN114980116B - Target number identification method and electronic equipment based on 5G message - Google Patents

Abstract

The application discloses a target number identification method based on a 5G message and electronic equipment, and belongs to the field of communication information safety. The identification method comprises the following steps: acquiring first identity information corresponding to the marked target number; inquiring first Internet of things equipment associated with the first identity information; acquiring second identity information corresponding to the first Internet of things equipment; inquiring at least one communication number corresponding to the second identity information; and identifying the communication number meeting the preset condition in the at least one communication number as a target number.

Description

Target number identification method and electronic equipment based on 5G message

Technical field

This application belongs to the field of communication information security, and specifically relates to a target number identification method and electronic equipment based on 5G messages.

Background technique

With the rapid development of information technology, operators have upgraded basic SMS communication capabilities to 5G messaging. Compared with short messages, 5G messages sent between individuals, between individuals and enterprise (industry customer) servers, and between individuals (or industry customers) and IoT devices have multimedia capabilities. They not only include text, but also pictures, Audio, video and other information.

However, with the development of technology, the methods of telecommunications network fraud are also constantly changing. In related technologies, illegal numbers such as fraudulent numbers are identified by detecting the content information of sent 5G messages. Due to the number of communication numbers and The number of 5G messages sent is larger, so the detection efficiency may be lower.

Contents of the invention

The purpose of the embodiments of this application is to provide a target number identification method and electronic device based on 5G messages, which can solve the problem of low detection efficiency of target numbers based on 5G messages.

In the first aspect, embodiments of the present application provide a target number identification method based on 5G messages. The method includes: obtaining the first identity information corresponding to the marked target number; querying the first object associated with the first identity information. Internet-connected device; obtain the second identity information corresponding to the first Internet of Things device;

Query at least one communication number corresponding to the second identity information; identify the communication number that meets the preset condition among the at least one communication number as the target number.

In the second aspect, embodiments of the present application provide a target number identification device based on 5G messages, including: a first acquisition module: used to obtain the first identity information corresponding to the marked target number; a first query module, used to Query the first Internet of Things device associated with the first identity information; a second acquisition module, used to obtain the second identity information corresponding to the first Internet of Things device; a second query module, used to query the second identity At least one communication number corresponding to the information; an identification module, used to identify the communication number that meets the preset conditions among the at least one communication number as the target number.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In this embodiment of the present application, by obtaining the first identity information corresponding to the marked target number, querying the first Internet of Things device associated with the first identity information, and then obtaining the second identity corresponding to the first Internet of Things device Information, use at least one communication number corresponding to the second identity information as a monitoring number, and when the communication number of the at least one communication number meets the preset conditions, identify the communication number as the target number, thereby improving the efficiency based on Detection efficiency of target number of 5G messages.

Description of drawings

Figure 1 is a schematic diagram of a target number identification method based on 5G messages according to one embodiment of this application;

Figure 2 is a schematic diagram of a target number identification method based on 5G messages according to another embodiment of the present application;

Figure 3 is a schematic diagram of another embodiment of the present application regarding the frequency of sending 5G messages exceeding the preset frequency;

Figure 4 is a schematic diagram of sending content including preset content according to another embodiment of the present application;

Figure 5 is a schematic diagram of the determination of whether preset conditions are met in another embodiment of the present application;

Figure 6 is a schematic diagram of a target number identification device based on 5G messages according to one embodiment of the present application;

Figure 7 is a schematic diagram of a target number identification device based on 5G messages according to another embodiment of the present application;

Figure 8 is a schematic diagram of an electronic device according to another embodiment of the present application;

Figure 9 is a schematic diagram of the hardware structure of an electronic device that implements an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The target number identification method based on 5G messages provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

To identify 5G messages suspected of fraud, call bill behavior analysis, content keyword identification and other related methods are generally used. The bill behavior analysis technology mainly analyzes the signaling bills generated when users send messages, collects statistics on the rules of message sending behavior in specific scenarios, and realizes the detection and identification of fraud events. For example, it is stipulated that the limit set is Q pieces of content per hour. When the number of text messages sent by the communication number reaches Q pieces, it is determined to be a suspected fraudulent text message or a fraudulent text message. Content keyword identification technology mainly identifies the content of text messages. When it is detected that the text message sent contains the keywords or keyword combinations set by the system, it is determined to be a suspected fraudulent text message or fraudulent text message.

These fraud SMS judgment methods have certain effects, but they still have limitations. The main ones are: first, the judgment results may contain errors in judgment, such as confusing marketing promotion and fraud; second, only by analyzing a certain link in the (fraud) business chain (such as sending behavior or content identification), the number of detectable fraud events is limited.

The embodiment of this application provides a target number identification method based on 5G messages, as shown in Figure 1. Obviously, this embodiment can be used to identify fraudulent numbers based on 5G messages. Figure 1 is a schematic diagram of a target number identification method based on 5G messages in one embodiment of the present application, which includes the following steps:

S110: Obtain the first identity information corresponding to the marked target number.

In some implementations, it is first necessary to obtain a marked target number. Various known conventional methods may be used to obtain the marked target number, for example, obtaining the marked target number from a 5G message pool. The marked target number may be a target number marked by a user or a target number detected by a detection device. Since each number (for example, target number) has corresponding identity information (for example, ID card information), the identity information (first identity information) corresponding to the marked target number can be obtained.

In the embodiment of this application, the target number may include but is not limited to a scam number or a harassing number.

In the embodiment of this application, the target number includes but is not limited to a mobile phone number.

S120: Query the first Internet of Things device associated with the first identity information.

In some implementations, since the identity information (for example, the identity information of the number user, including the identity card information of the number user) is associated with the Internet of Things device, the first query can be queried based on the association between the identity information and the Internet of Things device. The Internet of Things device associated with the identity information (the first Internet of Things device); the Internet of Things device queried according to this embodiment may be one or a collection of multiple Internet of Things devices.

S130: Obtain the second identity information corresponding to the first Internet of Things device.

In some implementations, based on the IoT device queried in step S120 and the association between the identity information and the IoT device, the identity information (second identity information) corresponding to the first IoT device can be obtained.

In some embodiments, since the first IoT device queried in step S120 may be a set of one or more IoT devices, when obtaining the second identity information corresponding to the first IoT device , it is not necessarily necessary to query the second identity information corresponding to all IoT devices; according to actual needs (for example, the query results need to be more comprehensive, or the query results need to be more accurate, etc.), it can be selective or based on certain Determine the rules and query the second identity information corresponding to some of the IoT devices. Illustratively, 10 IoT devices are obtained in step S120, and 6 IoT devices that are mainly monitored can be selected for querying the corresponding second identity information. Obviously, the enumeration of the number of IoT devices here is only to illustrate one of the specific situations of this implementation mode, and does not impose any restrictions on the content of this implementation mode.

In some implementations, a part of all IoT devices can be selected through certain rules or conditions. For example, obtain the 5G message IoT communication bill of the IoT device used by the number user during a detection period, and analyze all the sender IoT devices and receiver IoT devices corresponding to the communication bill within this detection period. These IoT devices The device is the selected IoT device (the second IoT device). The second IoT device can be used as the key monitored IoT device, and then the second identity information corresponding to the second IoT device is obtained.

S140: Query at least one communication number corresponding to the second identity information.

In some implementations, the corresponding communication number is queried based on the second identity information obtained in step S130 (for example, the identity information obtained by all IoT devices, or the identity information obtained by some IoT devices), and at least one communication number is queried.

Among them, communication numbers include but are not limited to mobile phone numbers.

S150: Identify the communication number that meets the preset conditions among the at least one communication number as the target number.

In some embodiments, among the at least one queried communication number, there may be a target number or a non-target number, so it needs to be filtered according to the preset conditions, and only the communication numbers that meet the preset conditions are identified as the target number. .

The embodiment of the present application discloses a target number identification method based on 5G messages. By obtaining the first identity information corresponding to the marked target number, querying the first Internet of Things device associated with the first identity information, and obtaining the first identity information. The second identity information corresponding to an Internet of Things device queries at least one communication number corresponding to the second identity information, and then identifies the communication number that meets the preset conditions among the at least one communication number as the target number. On the one hand, it can effectively This improves the recognition rate of target numbers, and on the other hand, reduces false interceptions by only analyzing a certain link in the business chain (such as the fraud business chain). Through this embodiment, the target numbers used by the same gang (such as a fraud gang) can be effectively retrieved, which greatly reduces the scope of number monitoring and improves the detection efficiency and accuracy of target numbers based on 5G messages.

As another embodiment, this application provides a target number identification method based on 5G messages, as shown in Figure 2. This embodiment takes identifying fraudulent numbers as an example, and of course is also applicable to identifying other types of target numbers. Figure 2 is a schematic diagram of a target number identification method based on 5G messages according to another embodiment of the present application, which includes the following steps:

S210: Obtain the marked fraud number from the 5G message fraud pool. The marked fraud number may be a fraud number marked by the user, or may be a fraud number detected by a detection device.

S220: According to the registration information of the fraudulent number with the operator, the ID card information of the marked fraudulent number is retrieved as the identity information of the fraudster (i.e., the first identity information mentioned above).

S230: Query the IoT device associated with the fraudster's ID card, and the IoT device (one or more) is used as the IoT device used by the fraudster (i.e., the above-mentioned first IoT device).

S240: Obtain the 5G message IoT communication bill of the fraudster using the IoT device during the detection time period, and analyze all the sender IoT devices and the receiver IoT device set corresponding to the IoT device set during the detection time period, with the IoT device set as the focus Monitor the IoT device (i.e. the second IoT device mentioned above).

S250: Obtain the ID card information of the key monitored IoT device (i.e. the second IoT device) registered with the operator as the key monitored identity information (i.e. the second identity information).

S260: Query all communication numbers under key monitoring identity information as communication numbers to be monitored.

S270: Among the communication numbers to be monitored, communication numbers that send 5G messages more frequently than the preset frequency or send content that contains preset content are marked as fraudulent numbers.

In this embodiment, an implementation method of this application is described by taking the ID card as identity information as an example. The associated IoT device is queried through the ID card information registered with the operator through the marked target number (fraud number). And determine the key monitored IoT devices, then obtain the identity information corresponding to the key monitored IoT devices, and query the relevant communication numbers, and finally identify the fraud number based on preset conditions. This embodiment effectively improves the identification rate of fraudulent numbers, effectively retrieves fraudulent numbers used by the same fraud gang, greatly reduces the scope of fraud number monitoring, and improves the detection efficiency and accuracy of fraudulent numbers based on 5G messages.

In some embodiments, FIG. 3 shows a schematic flowchart of another embodiment of the present application in which the frequency of sending 5G messages exceeds the preset frequency as a preset condition to determine whether the communication number in the at least one communication number is a target number.

The analysis of the frequency of 5G information sent by communication numbers is essentially the analysis of conversation single behavior, as shown in Figure 3, which can include the following steps:

S310: Obtain the 5G message bill within the detection time corresponding to the target communication number.

Obtain the 5G message bill within the detection time corresponding to the target communication number, where the target communication number is any communication number among the at least one communication number.

At least one communication number corresponding to the second identity information is queried, including a target number and a non-target number; for a certain communication number among the queried communication numbers, the 5G personal message bill of this communication number is extracted. Other communication numbers extract 5G personal message bills in the same way.

In some implementations, according to actual needs, the 5G personal message bill can be selected within a certain period of detection; for example, a certain period of detection time can be determined based on practical experience, or a certain period of detection time can be determined based on certain rules.

S320: Obtain a target number according to the 5G message bill, where the target number includes at least one of the following: the number of personal messages sent, the number of different numbers received, and the number of messages with the same content sent.

In some embodiments, the 5G message bill within the detection time corresponding to the target communication number is obtained, wherein the target communication number is any communication number among the at least one communication number; and the 5G message bill is obtained according to the 5G message bill A target number, wherein the target number includes at least one of the following: the number of personal messages sent, the number of different numbers received, and the number of messages with the same content sent.

Of course, the target numbers in this implementation (the number of personal messages, the number of different numbers received, and the number of messages with the same content sent) are many targets for judging whether the frequency of 5G messages exceeds the preset frequency (not limited to those listed in this implementation). one of the goals), those skilled in the art should be able to know that there are other single or combined selection goals according to the actual situation.

S330: When it is determined whether the target number exceeds the preset frequency, determine the target communication number to be the target number.

Determine whether the number of targets exceeds the preset frequency, that is, determine whether at least one of the number of personal messages, the number of different numbers received, and the number of messages with the same content sent satisfies a preset threshold condition; after determining the target If the number exceeds the preset frequency, the target communication number is determined to be the target number.

In some implementations, in order to avoid misjudgments, the target can be determined based on whether the number of personal messages, the number of different numbers received, and the number of messages with the same content sent all meet the preset threshold conditions. If they all meet the preset threshold conditions, the target can be determined. The communication number is a target number. If at least one condition does not meet the preset threshold condition, it is determined that the target communication number is not a target number. For example, set the preset threshold conditions as follows: the number of personal messages sent is ≥ 10 and the number of different numbers received is ≥ 10 and the number of messages with the same content sent is ≥ 10. When the number of personal messages sent in the statistical 5G message bill is 12 When the number of different numbers received is 12 and the number of messages with the same content sent is 12, the preset threshold conditions are met, so the target communication number can be identified as the target number; when the personal message items sent in the statistical 5G message bill When the number is 8, the number of different numbers received is 12, and the number of messages with the same content sent is 12, then there is one item that does not meet the preset threshold condition, so the target communication number is identified as a non-target number. Obviously, the enumeration of the number of personal messages, the number of different numbers received, and the number of messages with the same content sent here is only to illustrate one of the specific situations of this embodiment, and does not limit the content of this embodiment in any way.

In the embodiment of the present application, when the communication number among the at least one communication number that matches the frequency of sending 5G messages exceeding the preset frequency is identified as the target number, the personal 5G message strips sent by the monitored communication numbers within a certain period of time are analyzed. The number, the number of different numbers received and the number of the same message content sent are used to comprehensively determine whether the monitored communication number is the target number, which further improves the detection efficiency and accuracy of target numbers based on 5G messages, and also reduces the detection of non-target numbers. Misjudgment.

Figure 4 shows a schematic flowchart of another embodiment of the present application for determining whether the communication number in the at least one communication number is a target number using the sent content containing preset content as a preset condition.

Determining whether the sent content of the communication number contains preset content is shown in Figure 4. Generally, the content to be sent can be a text message, an audio message, a picture message, a video message, etc., and the preset content is a preset keyword or combination of keywords; different processing is performed according to different message types, and the at least The communication number in a communication number that meets the preset conditions is identified as the target number, including one of the following:

S420: Perform keyword identification on the text message with the target communication number as the sender, and if it is determined that the text message includes preset content, identify the target communication number as the target number, where the target communication number is any communication number among the at least one communication number;

S430: Perform text conversion on the audio message with the target communication number as the sender, perform keyword recognition on the content converted into text, and identify the target communication if it is determined that the audio message includes preset content. The number is the target number;

S440: Perform optical character recognition and picture sample library comparison on the picture message with the target communication number as the sender. If it is determined that the picture message includes preset content, identify the target communication number as the target number. ;

S450: At certain time intervals, perform frame extraction on the video message with the target communication number as the sender, perform optical character recognition and picture sample library comparison on the extracted frame pictures, and determine the extracted frame pictures. If preset content is included, the target communication number is identified as the target number.

In some embodiments, for the above four types of message identification, in addition to the situation that the message type sent by the sender satisfies one of the conditions, the information sent by the sender may also need to satisfy two or more types at the same time. type of message. For example, the preset content can be set to have both text information and video information, audio information and picture information, or the above four types of information at the same time.

In some embodiments, FIG. 5 shows a schematic diagram of determination of whether preset conditions are met in another embodiment of the present application.

In order to more rigorously and accurately determine whether at least one of the queried communication numbers is the target number, it can also be done when the 5G information sent by the target communication number is consistent with the fact that the frequency of sending 5G messages exceeds the preset frequency and the sent content contains preset content. Identifies this target communication number as a target number. As shown in Figure 5, it includes the following steps:

S510: Obtain the 5G personal message bill of the key monitored communication number within the detection time.

S520: During the statistical detection period, focus on monitoring the number of personal messages sent by the communication number, the number of different numbers received, and the number of messages with the same content sent.

S530: Determine whether the threshold is hit based on the behavior of the key monitoring communication number (ie, the frequency of sending 5G messages). If the threshold is hit, perform step S540; if not, perform step S560.

Among them, the judgment rules for communication behavior are: the number of personal messages sent is ≥ L, the number of different numbers received is ≥ M, and the number of messages with the same content sent is ≥ N. The values of L, M, and N are determined according to the actual situation.

S540: When the frequency of sending 5G messages exceeds the preset frequency, identify the sending content of the key monitoring communication number to see if it hits the system's preset content. If it hits, execute step S550; if not, execute step S560.

S550: Determine (recognize) the target communication number as the target number.

S560: The process ends.

In the embodiment of the present application, when the communication number that meets the preset conditions among the at least one communication number is identified as the target number, it is not only judged whether the frequency of sending 5G messages by the communication number exceeds the preset frequency, but also based on the sending content. Judgment, that is, based on preset keywords or combinations of keywords, and combining different message types to perform different processing to comprehensively determine whether the monitored communication number is the target number, further improving the detection efficiency and detection of target numbers based on 5G messages. accuracy, and also reduces misjudgments of non-target numbers.

Another embodiment of the present application provides a device for identifying a target number based on a 5G message. Figure 6 is a schematic diagram of a device for identifying a target number based on a 5G message in another embodiment of the present application. As shown in Figure 6, the device can It includes a first acquisition module 610, a first query module 620, a second acquisition module 630, a second query module 640 and an identification module 650.

The first acquisition module 610 is used to acquire the first identity information corresponding to the marked target number.

In this embodiment, the first acquisition module 610 first needs to obtain the marked target number, and can obtain the marked target number by using various known conventional methods, for example, obtaining the marked target number from the 5G message pool; The marked target number may be a target number marked by a user or a target number detected by a detection device. Since each number (such as the target number) has corresponding identity information (such as ID card information), the identity information (first identity information) corresponding to the marked target number can be obtained. For more implementation methods of the first acquisition module 610, please refer to the detailed description in Embodiment A Target Number Identification Method for 5G Messages provided in this application. Those skilled in the art should be able to understand the corresponding implementation methods. To avoid duplication, here No longer.

The first query module 620 is used to query the first Internet of Things device associated with the first identity information.

In this embodiment, since the identity information is associated with the Internet of Things device, therefore according to the association between the identity information and the Internet of Things device, the first query module 620 can query the Internet of Things device associated with the first identity information (the first Internet of Things device ); the queried IoT device can be a collection of one or more IoT devices. For more implementation methods of the first query module 620, please refer to the detailed description in the embodiment of a 5G message target number identification method provided in this application. Those skilled in the art should be able to understand the corresponding implementation methods. To avoid repetition, here No longer.

The second acquisition module 630 is used to acquire the second identity information corresponding to the first Internet of Things device.

In this embodiment, the second acquisition module 630 acquires the second identity information corresponding to the first Internet of Things device according to the association between the identity information and the Internet of Things device. The queried first IoT device may be a collection of one or more IoT devices. When obtaining the second identity information corresponding to the first IoT device, it is not necessarily necessary to query all the IoT devices. The corresponding second identity information, according to actual needs, can be selectively queried for the second identity information corresponding to some of the Internet of Things devices. Therefore, in some implementations, the second acquisition module 630 includes a confirmation module (in the figure (not shown), the confirmation module is used to determine the second Internet of Things device that needs to be monitored among the first Internet of Things devices; and then obtain the second identity information of the second Internet of Things device. For example, if 20 IoT devices are obtained, the confirmation module can select (or determine according to certain rules) 10 of the IoT devices to query the corresponding second identity information. Obviously, the number of IoT devices is only listed here. This is one of the specific cases for illustrating this embodiment, and does not limit the content of this embodiment in any way.

For more implementation methods of the second acquisition module 630, please refer to the detailed description in the embodiment of a 5G message target number identification method provided in this application. Those skilled in the art should be able to understand the corresponding implementation methods. To avoid repetition, here No longer.

The second query module 640 is used to query at least one communication number corresponding to the second identity information.

In this embodiment, the second query module 640 queries the corresponding identity information based on the second identity information obtained by the second acquisition module 630 (for example, it can be the identity information obtained by all IoT devices, or it can be the identity information obtained by some IoT devices). communication number, at least one communication number is queried.

The identification module 650 is configured to identify a communication number that meets a preset condition among the at least one communication number as a target number.

In some embodiments, the identification module 650 includes a frequency judgment module (not shown in the drawings). The frequency judgment module is used to perform: obtain the 5G message bill within the detection time corresponding to the target communication number, wherein, the The target communication number is any one of the at least one communication number; the target number is obtained according to the 5G message bill, wherein the target number includes at least one of the following: the number of personal messages sent, the number of different messages received The number of numbers and the number of messages with the same content sent; when it is determined whether the target number exceeds the preset frequency, the target communication number is determined to be the target number.

In some embodiments, the identification module 650 includes a content determination module (not shown in the drawings), which is configured to identify a communication number that meets a preset condition among the at least one communication number as a target number, Include one of the following:

Perform keyword recognition on a text message with a target communication number as the sender, and when it is determined that the text message includes preset content, identify the target communication number as the target number, where the target communication number is the target number. any communication number among the at least one communication number;

Perform text conversion on the audio message with the target communication number as the sender, perform keyword recognition on the content converted into text, and identify the target communication number as if it is determined that the audio message includes preset content. target number;

Perform optical character recognition and picture sample library comparison on the picture message with the target communication number as the sender, and if it is determined that the picture message includes preset content, identify the target communication number as the target number;

At certain time intervals, frames are extracted for video messages with the target communication number as the sender, optical character recognition and image sample library comparison are performed on the extracted frame pictures, and predetermined information is included in the extracted frame pictures. In the case of content, the target communication number is identified as the target number.

For more implementations of the identification module 650, please refer to the detailed description in Embodiment A Target Number Identification Method for 5G Messages provided in this application. Those skilled in the art should be able to understand the corresponding implementations. To avoid repetition, they will not be mentioned here again. Repeat.

The embodiment of the present application discloses a target number identification device based on 5G messages. The device obtains the first identity information corresponding to the marked target number, queries the first Internet of Things device associated with the first identity information, and obtains the first identity information. Query the second identity information corresponding to the first Internet of Things device, query at least one communication number corresponding to the second identity information, and then identify the communication number that meets the preset conditions among the at least one communication number as the target number. On the one hand, It can effectively improve the recognition rate of target numbers, and on the other hand, it can also reduce false interceptions by only analyzing a certain link in the business chain (such as the fraud business chain). Through this embodiment, the target numbers used by the same gang (such as a fraud gang) can be effectively retrieved, which greatly reduces the scope of number monitoring and improves the detection efficiency and accuracy of target numbers based on 5G messages.

In other embodiments, Figure 7 shows a schematic diagram of a target number identification device based on 5G messages in one embodiment. This embodiment takes the case where the target number is a fraudulent number as an example. Of course, it can also be other types of target numbers. It includes a key monitoring number identification module, a fraud number identification module and a data storage module.

The first part: the key monitoring number identification module is used to identify key monitoring numbers based on the marked fraud numbers and through the Internet of Things devices associated with the fraud numbers, including:

The fraud number identity query sub-module (ie, the first acquisition module 410 in other implementations) is used to query the identity card information of the fraud number when it is registered with the operator.

The fraud number IoT device query sub-module (ie, the first query module 420 in other implementations) queries the fraud number ID card queried by the fraud number identity query sub-module for the IoT devices associated with the ID card.

The fraudulent IoT device communication device query sub-module is the IoT device information that the fraudulent IoT device communicates with based on the fraud number IoT device query sub-module.

The key monitoring number query sub-module (ie, the second acquisition module 430 and the second query module 440 in other embodiments) queries the ID cards associated with these devices based on the IoT device information queried by the fraudulent IoT device communication device query sub-module. , and use the ID card information to query all communication numbers under the names of these ID cards as key monitoring numbers.

The second part: the fraud number identification module (i.e., the identification module 450 in other embodiments), comprehensively determines whether it is a fraud number based on the analysis of the bill behavior of the key monitored number and the matching of the fraud content of the sent content, where,

The fraud behavior judgment sub-module (that is, the frequency judgment module in other embodiments) is used to comprehensively determine whether there is a hit based on the call bill behavior of key monitored numbers, including the number of personal messages sent, the number of different numbers received, and the number of messages with the same content sent. Suspected fraud. The fraud content matching sub-module (i.e. other content judgment modules in implementation) is used to identify whether the content of messages sent by key monitoring numbers matches the fraud content preset by the system. in:

The message type identification sub-model is used to identify the message type sent by key monitoring numbers as any one of text, picture, video, and audio.

The text message judgment sub-module is used to identify keywords in text content.

The picture message judgment sub-module is used to perform optical character recognition and picture sample library comparison on the picture content.

The audio message judgment sub-module is used to first convert the audio content into text.

The video message judgment sub-module is used to extract frames from the video content at certain time intervals, and identify the extracted frames according to the picture message.

The content comprehensive determination sub-module is used to determine whether different message types match the system's preset fraudulent content based on rules.

The fraud number determination sub-module is used to determine whether a number is a fraud number based on the fraud number determination rules, where:

The judgment rule setting sub-module is used to set the thresholds for the number of personal messages sent, the number of different numbers received, and the number of messages with the same content sent.

The fraud number result determination sub-module is used to comprehensively determine whether the number is a fraud number based on the results output by the fraud behavior determination sub-module and the fraud content matching sub-module.

The third part: the data storage module, which is used to store the fraud number database, identity information database, equipment information database, bill database and rule database required for fraud number judgment.

The embodiment of this application discloses a target number identification device based on 5G messages. The target number identification device is used to identify target numbers (such as fraud numbers). On the one hand, it can effectively improve the recognition rate of the target number, and on the other hand, it can also reduce the number of targets. By analyzing the misinterpretation of a certain link in the business chain (such as the fraud business chain). Through this embodiment, target numbers used by the same gang can be effectively retrieved, which greatly reduces the scope of number monitoring and improves the detection efficiency and accuracy of target numbers based on 5G messages.

The identification device provided in this embodiment may also be a component in an electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device can be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile internet device (Mobile Internet Device, MID), or augmented reality (AR)/virtual reality (VR). Devices, robots, wearable devices, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (PDA), etc., can also be servers, Network Attached Storage (NAS), etc. ), personal computer (PC), television (TV), teller machine or self-service machine, etc., the embodiments of this application are not specifically limited.

The target number identification device based on 5G messages in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The device provided by the embodiments of the present application can implement each process implemented by the method embodiments in Figures 1 to 5. To avoid repetition, details will not be described here.

Optionally, as shown in Figure 8, this embodiment of the present application also provides an electronic device 800, including a processor 801 and a memory 802. The memory 802 stores programs or instructions that can be run on the processor 801. When the program or instruction is executed by the processor 801, each step of the method embodiment described in FIG. 1 to FIG. 5 is implemented, and the same technical effect can be achieved. To avoid repetition, the details will not be described here.

Optionally, this embodiment of the present application also provides a storage medium, including a processor 801 and a memory 802. The memory 802 stores programs or instructions that can be run on the processor 801. The program or instructions are executed by the processor 801. During execution, each step of the method embodiment described in Figures 1 to 5 is implemented and the same technical effect can be achieved. To avoid repetition, details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 9 is a schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 900 includes but is not limited to: radio frequency unit 901, network module 902, audio output unit 903, input unit 904, sensor 905, display unit 906, user input unit 907, interface unit 908, memory 909, processor 910, etc. part.

Those skilled in the art can understand that the electronic device 900 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 910 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 9 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

The processor 910 is configured to perform corresponding functions in the target number identification method based on 5G messages of this application.

It should be understood that in this embodiment of the present application, the input unit 904 may include a graphics processor (Graphics Processing Unit, GPU) 9041 and a microphone 9042. The graphics processor 9041 is responsible for the image capture device (such as Process the image data of still pictures or videos obtained from the camera). The display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 907 includes a touch panel 9071 and at least one of other input devices 9072 . Touch panel 9071, also known as touch screen. The touch panel 9071 may include two parts: a touch detection device and a touch controller. Other input devices 9072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 909 can be used to store software programs as well as various data. The memory 909 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.), etc. The second storage area for storing data can store the target number library, identity information library, equipment information library, call record library, rule library, etc. required for storing target numbers (such as fraud numbers). . Additionally, memory 909 may include volatile memory or nonvolatile memory, or memory 909 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (RandomAccess Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM) , SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM, SLDRAM) and Direct Rambus RAM (DRRAM). Memory 909 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 910 may include one or more processing units; optionally, the processor 910 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 910.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , CD), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims (9)

1. A target number identification method based on 5G messages, which is characterized by including: Obtain the first identity information corresponding to the marked target number; Query the first Internet of Things device associated with the first identity information; Obtain second identity information corresponding to the first Internet of Things device; Query at least one communication number corresponding to the second identity information; Identify the communication number that meets the preset conditions among the at least one communication number as the target number; Wherein, the obtaining the second identity information corresponding to the first Internet of Things device includes: Determine the second IoT device that needs to be monitored according to the 5G message bill of the first IoT device; the second IoT device includes the sender IoT device and the receiver IoT device corresponding to the first IoT device. Internet-connected devices; Obtain the second identity information of the second Internet of Things device. 2. The target number identification method based on 5G messages according to claim 1, characterized in that said obtaining the first identity information corresponding to the marked target number includes: using the registered information of the marked target number in the operator , query the first identity information of the marked target number. 3. The target number identification method based on 5G messages according to claim 1, characterized in that the second Internet of Things device determined to be monitored according to the 5G message bill of the first Internet of Things device includes: Obtain the 5G message bill of the first IoT device within the detection time; It is determined that the sender IoT device and the receiver IoT device in the 5G message bill are the second IoT devices that need to be monitored. 4. The target number identification method based on 5G messages according to claim 1, characterized in that the preset conditions include at least one of the following: the frequency of sending 5G messages exceeds the preset frequency, and the sent content contains preset content. 5. The target number identification method based on 5G messages according to claim 4, characterized in that identifying the communication number that meets the preset conditions among the at least one communication number as the target number includes: Obtain the 5G message bill within the detection time corresponding to the target communication number, wherein the target communication number is any communication number among the at least one communication number; Obtain the target number according to the 5G message bill, wherein the target number includes at least one of the following: the number of personal messages sent, the number of different numbers received, and the number of messages with the same content sent; When it is determined whether the target number exceeds the preset frequency, the target communication number is determined to be the target number. 6. The target number identification method based on 5G messages according to claim 4, characterized in that identifying the communication number that meets the preset conditions among the at least one communication number as the target number includes one of the following: Perform keyword recognition on a text message with a target communication number as the sender, and when it is determined that the text message includes preset content, identify the target communication number as the target number, where the target communication number is the target number. any communication number among the at least one communication number; Perform text conversion on the audio message with the target communication number as the sender, perform keyword recognition on the content converted into text, and identify the target communication number as if it is determined that the audio message includes preset content. target number; Perform optical character recognition and picture sample library comparison on the picture message with the target communication number as the sender, and if it is determined that the picture message includes preset content, identify the target communication number as the target number; At certain time intervals, frames are extracted for video messages with the target communication number as the sender, optical character recognition and image sample library comparison are performed on the extracted frame pictures, and predetermined information is included in the extracted frame pictures. In the case of content, the target communication number is identified as the target number. 7. A target number identification device based on 5G messages, characterized by including: The first acquisition module is used to acquire the first identity information corresponding to the marked target number; A first query module, configured to query the first Internet of Things device associated with the first identity information; The second acquisition module is used to acquire the second identity information corresponding to the first Internet of Things device; a second query module, configured to query at least one communication number corresponding to the second identity information; An identification module, configured to identify the communication number that meets the preset conditions among the at least one communication number as the target number; The second acquisition module is used to determine the second Internet of Things device that needs to be monitored according to the 5G message bill of the first Internet of Things device; the second Internet of Things device includes the sending data corresponding to the first Internet of Things device. The party Internet of Things device and the receiving party Internet of Things device; obtain the second identity information of the second Internet of Things device. 8. An electronic device, characterized in that it includes: a processor and a memory, the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the claims are implemented The steps of the target number identification method described in any one of claims 1-6. 9. A readable storage medium, characterized in that the readable storage medium stores programs or instructions, and when the programs or instructions are executed by a processor, the target number as described in any one of claims 1-6 is achieved. Identify the steps of the method.