CN112615966A - Cat pool terminal identification method - Google Patents
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- CN112615966A CN112615966A CN202011462856.2A CN202011462856A CN112615966A CN 112615966 A CN112615966 A CN 112615966A CN 202011462856 A CN202011462856 A CN 202011462856A CN 112615966 A CN112615966 A CN 112615966A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2281—Call monitoring, e.g. for law enforcement purposes; Call tracing; Detection or prevention of malicious calls
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a cat pool terminal identification method, which comprises the steps of selecting activated mobile phone terminals from sold mobile phone terminals to form a target mobile phone terminal group; acquiring data of each mobile phone terminal in the target mobile phone terminal group, and performing data processing to obtain an index feature library corresponding to each mobile phone terminal; performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features; finally, judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal or not by using the key index characteristics; by the method and the system, whether the agent cheats the operator by adopting the cat pool terminal can be effectively identified and judged, so that commission is collected, and the legal benefit of the operator is conveniently maintained.
Description
Technical Field
The invention relates to the technical field of mobile communication terminal identification, in particular to a cat pool terminal identification method.
Background
The cat POOL (foreign name: Modem POOL) is a device which connects a considerable number of modems together using special dial request access devices and can simultaneously accept dial connections of a plurality of users. The cat pool can be regarded as a special terminal, and can be solely regarded as an expansion device based on the telephone without distinguishing the internet access or the mobile phone signal transceiving effect. Normally, only 1 to 2 mobile phone cards can be operated by one mobile phone terminal, but hundreds of mobile phone cards can be operated by an automatic tool such as a cat pool terminal.
In communication service, operators often encourage the operators to develop customers by issuing commissions to agents, so as to promote the increase of the customer volume of the operators. For example, after an agent extracts mobile phone terminals and mobile phone cards from an operator in batches, the agent researches cost composition and preferential policies by researching the sale policy of the operator, sells the mobile phone terminals and the mobile phone cards in a mode of separating the mobile phone cards from the mobile phone terminals, and often purchases cat pool equipment for the mobile phone terminals and the mobile phone cards which cannot be sold, and normal communication behaviors are carried out by simulating IMEM identification codes of a plurality of mobile phone terminals by the cat pool terminal, so that the operator mistakenly regards that the mobile phone terminals of the IMEM identification codes are activated, and the false appearance that the mobile phone terminals are activated and used is created. And a plurality of mobile phone cards are kept in a simple running state on the cat pool equipment through the card raising action, so that the commission of an operator is collected. The commission gained by the agent through the simulated cell phone terminal activation and card maintenance activities on the cat pool device is often more and faster than the commission gained by the normal sale of cell phone terminals and cell phone cards, which is the profit driver of the agent using the cat pool device. Therefore, how to identify whether an agent adopts the cat pool terminal to simulate the mobile phone terminal communication and utilize the card-raising behavior for fraud becomes a technical problem to be solved urgently in the field, so as to maintain the benefits of operators.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a cat pool terminal identification method, which is characterized in that a plurality of key index features of a newly-sold and activated mobile phone terminal are obtained and are analyzed and compared with the characteristics of the cat pool terminal, so that whether an agent adopts the cat pool terminal to simulate mobile phone terminal communication and utilizes card maintenance behavior to perform fraud commission fee collection is judged, and the legal benefit of an operator is maintained conveniently.
In order to solve the technical problems, the invention adopts the technical scheme that: a cat pool terminal identification method specifically comprises the following steps:
step S1: selecting the activated mobile phone terminals from the sold mobile phone terminals to form a target mobile phone terminal group;
step S2: acquiring data of each mobile phone terminal in the target mobile phone terminal group, and performing data processing to obtain an index feature library corresponding to each mobile phone terminal;
step S3: performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features;
step S4: and judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal or not according to the key index characteristics.
Preferably, in step S1, the principle of determining whether the mobile phone terminal is activated is as follows: and if the mobile phone terminal generates a call behavior or a flow behavior, judging that the mobile phone terminal is activated for use.
Preferably, in step S2, the acquiring data of each mobile phone terminal in the target mobile phone terminal group includes:
acquiring sales time, activation number, binding number, total call duration, total charging duration, total flow and total call frequency data of each mobile phone terminal;
and acquiring the call duration, the charging duration, the flow and the call frequency data based on the mobile phone card number used by the mobile phone terminal.
Preferably, the index feature library includes the following contents:
the total charging time of each mobile phone terminal;
total traffic of each mobile phone terminal;
the total number of calls of each mobile phone terminal;
the number of main terminals and other terminals of each mobile phone terminal;
the terminal income of each mobile phone terminal;
calling number conversation ratio of each mobile phone terminal;
the number of the contact circle terminals of each mobile phone terminal;
the call behavior of each mobile phone terminal is centralized;
the attribution proportion of the called number of each mobile phone terminal is higher than that of the called number of each mobile phone terminal;
the number of call base stations of each mobile phone terminal;
the number of active terminals of each handset terminal.
Preferably, in step S3, performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features, where the method includes:
step S31, constructing histograms of all indexes in the index characteristic library to obtain the histogram of each type of index characteristic;
and step S32, analyzing the histogram of each index feature, and if a certain index feature does not conform to normal distribution in the histogram, taking the index feature as a key index feature.
Preferably, in step S3, the key index features include the following indexes: the terminal income index value, the calling base station number index value, the communication circle terminal number index value, the activated terminal number index value and the calling number communication ratio index value form five-dimensional virtual coordinates of the mobile phone terminals in the target mobile phone terminal group.
Preferably, in step S4, the determining, by the key indicator feature, whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal includes:
step S41, dividing all terminal handsets in the target handset terminal group into K groups by a clustering algorithm, and respectively obtaining coordinate values of K central points;
step S42: and if the terminal income characteristic value, the call base station number characteristic value and the contact circle terminal number characteristic value of the mobile phone terminals in one of the groups are lower than those of other groups, and the activated terminal number characteristic value and the calling party ratio characteristic value are higher than those of other groups, the group is a cat pool terminal group, and the mobile phone terminals in the group are cat pool terminals.
Preferably, the method further comprises a step S5, wherein the step S5 comprises:
step S51: taking the cat pool terminal group as a cat pool inspection library, and extracting a terminal income index value, a call base station number index value, a contact circle terminal number index value, an activation terminal number index value and a calling number call proportion index value in a newly activated mobile phone terminal to form a five-dimensional virtual coordinate of the newly activated mobile phone terminal;
step S52: respectively calculating and comparing Euclidean distances between five-dimensional virtual coordinates of the newly activated mobile phone terminal and coordinate values of K central points, and if the Euclidean distance between the five-dimensional virtual coordinates of the newly activated mobile phone terminal and the coordinate values of the central points of the cat pool check library is minimum, listing the newly activated mobile phone terminal as a suspected cat pool terminal;
step S53: and manually screening the suspected cat pool terminals, and judging whether the newly activated mobile phone terminal is a cat pool terminal according to a screening result.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a cat pool terminal identification method, which comprises the steps of obtaining various data of a newly sold activated mobile phone terminal, obtaining a plurality of index characteristics of the mobile phone terminal through data processing, selecting a plurality of key index characteristics from the data through data visualization processing, and judging whether the mobile phone terminal in a target mobile phone terminal group is a cat pool terminal or not according to the key index characteristics; by the method and the system, whether the agent cheats the operator by adopting the cat pool terminal can be effectively identified and judged, so that commission is collected, and the legal benefit of the operator is conveniently maintained.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flow chart of a cat pool terminal identification method of the present invention;
Detailed Description
For a better understanding of the technical content of the present invention, the following specific embodiments are provided, and the present invention is further described with reference to the accompanying drawings:
referring to fig. 1, the present invention provides a cat pool terminal identification method, which specifically includes the following steps:
step S1: selecting the activated mobile phone terminals from the sold mobile phone terminals to form a target mobile phone terminal group;
step S2: acquiring data of each mobile phone terminal in the target mobile phone terminal group, and performing data processing to obtain an index feature library corresponding to each mobile phone terminal;
step S3: performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features;
step S4: and judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal or not according to the key index characteristics.
Specifically, in step S1, the principle of determining whether the mobile phone terminal is activated is as follows: and if the mobile phone terminal generates a call behavior or a flow behavior, judging that the mobile phone terminal is activated for use. Because the operator user group is huge and the cat pool terminal is frequently generated on the basis of the newly sold mobile phone terminal, the conversation and flow behaviors of the newly sold mobile phone terminal are important bases for screening a proper target mobile phone terminal.
Specifically, similar characteristics exist in the indexes of income, flow, activation, use and the like of the cat pool terminal, and the cat pool terminal is obviously different from a normal mobile phone terminal, so that feasibility exists in the cat pool terminal identification. Therefore, first of all, various index features of the mobile phone terminals in the target mobile phone terminal group are obtained, and are convenient to compare with the characteristics of the cat pool terminal, so that it can be determined whether the mobile phone terminal is the cat pool terminal, in step S2, the obtaining of the data of each mobile phone terminal in the target mobile phone terminal group includes:
acquiring sales time, activation number, binding number, total call duration, total charging duration, total flow and total call frequency data of each mobile phone terminal;
and acquiring the call duration, the charging duration, the flow and the call frequency data based on the mobile phone card number used by the mobile phone terminal.
Specifically, the index feature library includes the following contents: the total charging time of each mobile phone terminal; total traffic of each mobile phone terminal; the total number of calls of each mobile phone terminal; the number of main terminals and other terminals of each mobile phone terminal; the terminal income of each mobile phone terminal; calling number conversation ratio of each mobile phone terminal; the number of the contact circle terminals of each mobile phone terminal; the call behavior of each mobile phone terminal is centralized; the attribution proportion of the called number of each mobile phone terminal is higher than that of the called number of each mobile phone terminal; the number of call base stations of each mobile phone terminal; the number of active terminals of each handset terminal. The total charging duration, the total flow and the total number of calls can be directly obtained by a database of an operator, and the obtaining processes of the rest other index characteristics are as follows:
number of main terminals and other terminals: if a certain phone card number on the mobile phone terminal simultaneously satisfies that the call duration of the mobile phone card number on the mobile phone terminal is more than 20% of the total call duration of the mobile phone card number, and the usage flow of the mobile phone card number on the mobile phone terminal is more than 20% of the total usage flow of the phone card number, adding 1 to the main terminal of the mobile phone terminal, otherwise adding 1 to the other terminals of the mobile phone terminal;
calculating the terminal income of each mobile phone terminal by the following formula:
wherein S is the terminal income of each mobile phone terminal, n is the number of mobile phone numbers used by the mobile phone terminal, tx totalThe total call duration, t, of the mobile phone numberxThe call duration of the mobile phone number on the mobile phone terminal, ARPUxContributing service income to an operator within a period of the mobile phone number;
the database acquires the calling times and the called times of each mobile phone terminal and corresponding mobile phone card numbers, and the calling times of each mobile phone terminal is divided by all the calling times of the mobile phone terminal to obtain the calling number conversation ratio of each mobile phone terminal;
the database acquires all numbers based on each mobile phone terminal to carry out communication target on the mobile phone terminal, and generates the number of the contact circle terminals of each mobile phone terminal;
and (3) the database acquires a user list of each mobile phone terminal, and counts the situations that each mobile phone terminal appears for several times in one month: on the same day, the same base station calls the same person, the call time is within 30s, and the call times are more than 2, so that the call behavior concentrated times of each mobile phone terminal are obtained;
and the attribution proportion of the called number is obtained by counting the channel to which the called number of each mobile phone terminal belongs by the database, acquiring the number of the called number of each mobile phone terminal, and dividing the number of the called number of each mobile phone terminal by the number of the channel to which the called number belongs.
The number of the call base stations is counted by the database, wherein the base station used by each mobile phone terminal is counted by the database, and the number of the call base stations of each mobile phone terminal is obtained;
the database counts and activates the number of the mobile phone card of each mobile phone terminal and additionally activates other mobile phone terminals to obtain the number of the activated terminals of each mobile phone terminal;
the acquisition of the index features relates to the relevant data of each mobile phone card number on the mobile phone terminal, and can reflect the relevant use condition of each mobile phone card number, so that the index features have certain utility for judging whether the card maintenance behavior exists on the terminal.
In particular, data exploration is a preliminary study of data to better understand its specific properties. One common method of data exploration is "visualization". Data visualization refers to displaying information in the form of graphs or tables. Successful visualization requires that the data (information) be converted into a visual form so that the relationships between the features of the data and the data items or attributes can be analyzed or reported thereby; while histogram is a visualization technique. In statistics, a histogram is a kind of graphical representation of data distribution, and is a two-dimensional statistical chart, and its two coordinates are respectively a statistical sample and a measure of some attribute corresponding to the sample. Therefore, in step S3, the histogram is used to perform visualization processing on each index feature, and several key index features are obtained, including:
step S31, constructing histograms of all indexes in the index characteristic library to obtain the histogram of each type of index characteristic;
and step S32, analyzing the histogram of each index feature, and if a certain index feature does not conform to normal distribution in the histogram, taking the index feature as a key index feature.
Specifically, after analyzing the histogram, the key index features include the following indexes: the terminal income index value, the calling base station number index value, the communication circle terminal number index value, the activated terminal number index value and the calling number communication ratio index value form five-dimensional virtual coordinates of the mobile phone terminals in the target mobile phone terminal group.
Specifically, the step of judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal according to the key index features includes:
step S41, dividing all terminal handsets in the target handset terminal group into K groups by a clustering algorithm, and respectively obtaining coordinate values of K central points;
step S42: and if the terminal income characteristic value, the call base station number characteristic value and the contact circle terminal number characteristic value of the mobile phone terminals in one of the groups are lower than those of other groups, and the activated terminal number characteristic value and the calling party ratio characteristic value are higher than those of other groups, the group is a cat pool terminal group, and the mobile phone terminals in the group are cat pool terminals.
Because the clustering algorithm is to gather the mobile phone terminals with key index features having similar data characteristics into a group, the data characteristics of the key index features in the K groups are respectively compared with the characteristics of the cat pool terminal, the mobile phone terminals in one group with the consistent characteristics are judged as the cat pool terminal, namely, in practice, the cat pool terminal simulates the IMEM identification code of each mobile phone terminal in the group to carry out communication, the false phenomenon that the mobile phone terminal bound by the IMEM identification code is activated is created, and the commission of an operator is collected.
In this embodiment, a K-means algorithm is specifically adopted in the clustering algorithm, and it should be noted that, as the number K of the classified clusters increases, the classification error SSE becomes smaller and smaller, but at the same time, the time consumption (iteration number) for classification increases rapidly, and the number of the classified clusters is too large, which may interfere with decision-making judgment and cause service deviation, so that it is very necessary to select a reasonable K value. Specifically, the relationship between the number of clusters and the sum of iteration times and square error (SSE) is shown in table 1 below:
as can be seen from table 1, when the number K of clusters increases within a range of less than 8, the classification error SSE decreases rapidly, and when the number K of clusters increases within a range of more than 30, the classification error SSE decreases steadily, but the number of iterations increases rapidly. Therefore, under the comprehensive consideration that the classification error SSE is small, the number of iterations is small, and the number of clusters is not too large, the value of the number K of clusters is preferably 10 in this embodiment, that is, all the mobile phone terminals are divided into 10 clusters according to the K-means algorithm.
Further, the identification and determination of other new mobile phone terminals may be performed based on the existing 10 clusters and the corresponding 10 coordinate values of the center point, specifically, in step S5, where the step S5 includes:
step S51: taking the cat pool terminal group as a cat pool inspection library, and extracting a terminal income index value, a call base station number index value, a contact circle terminal number index value, an activation terminal number index value and a calling number call proportion index value in a newly activated mobile phone terminal to form a five-dimensional virtual coordinate of the newly activated mobile phone terminal;
step S52: respectively calculating and comparing Euclidean distances between five-dimensional virtual coordinates of the newly activated mobile phone terminal and coordinate values of 10 central points, and if the Euclidean distance between the five-dimensional virtual coordinates of the newly activated mobile phone terminal and the coordinate values of the central points of the cat pool check library is minimum, listing the newly activated mobile phone terminal as a suspected cat pool terminal;
the specific calculation formula for calculating the Euclidean distance is as follows:
wherein d iskThe Euclidean distance from the newly activated five-dimensional virtual coordinate point of the mobile phone terminal to the center point of a cluster is obtained, m is the number of key index features of the mobile phone terminal, namely m is 5, and X isyIs the five-dimensional virtual coordinate value, X, of the newly activated mobile phone terminalkyCoordinate values for the center point;
step S53: and manually screening the suspected cat pool terminals, and judging whether the newly activated mobile phone terminal is a cat pool terminal according to a screening result.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (8)
1. A cat pool terminal identification method is characterized by specifically comprising the following steps:
step S1: selecting the activated mobile phone terminals from the sold mobile phone terminals to form a target mobile phone terminal group;
step S2: acquiring data of each mobile phone terminal in the target mobile phone terminal group, and performing data processing to obtain an index feature library corresponding to each mobile phone terminal;
step S3: performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features;
step S4: and judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal or not according to the key index characteristics.
2. The method for identifying a cat pool terminal as claimed in claim 1, wherein in the step S1, the principle of determining whether the mobile phone terminal is activated is as follows: and if the mobile phone terminal generates a call behavior or a flow behavior, judging that the mobile phone terminal is activated for use.
3. The cat pool terminal identification method according to claim 1, wherein the step S2 of obtaining data of each mobile phone terminal in the target mobile phone terminal group includes:
acquiring sales time, activation number, binding number, total call duration, total charging duration, total flow and total call frequency data of each mobile phone terminal;
and acquiring the call duration, the charging duration, the flow and the call frequency data based on the mobile phone card number used by the mobile phone terminal.
4. The cat pool terminal identification method according to claim 3, wherein the index feature library comprises the following contents:
the total charging time of each mobile phone terminal;
total traffic of each mobile phone terminal;
the total number of calls of each mobile phone terminal;
the number of main terminals and other terminals of each mobile phone terminal;
the terminal income of each mobile phone terminal;
calling number conversation ratio of each mobile phone terminal;
the number of the contact circle terminals of each mobile phone terminal;
the call behavior of each mobile phone terminal is centralized;
the attribution proportion of the called number of each mobile phone terminal is higher than that of the called number of each mobile phone terminal;
the number of call base stations of each mobile phone terminal;
the number of active terminals of each handset terminal.
5. The method for identifying a cat pool terminal as claimed in claim 4, wherein in step S3, performing data visualization processing on each index feature in the index feature library to obtain a plurality of key index features, includes:
step S31, constructing histograms of all indexes in the index characteristic library to obtain the histogram of each type of index characteristic;
and step S32, analyzing the histogram of each index feature, and if a certain index feature does not conform to normal distribution in the histogram, taking the index feature as a key index feature.
6. The method for identifying a cat pool terminal as claimed in claim 5, wherein in step S3, the key index features comprise the following indexes: the terminal income index value, the calling base station number index value, the communication circle terminal number index value, the activated terminal number index value and the calling number communication ratio index value form five-dimensional virtual coordinates of the mobile phone terminals in the target mobile phone terminal group.
7. The method for identifying a cat pool terminal according to claim 6, wherein in step S4, the step of judging whether the mobile phone terminal in the target mobile phone terminal group is a cat pool terminal according to the key indicator features comprises:
step S41, dividing all terminal handsets in the target handset terminal group into K groups by a clustering algorithm, and respectively obtaining coordinate values of K central points;
step S42: and if the terminal income characteristic value, the call base station number characteristic value and the contact circle terminal number characteristic value of the mobile phone terminals in one of the groups are lower than those of other groups, and the activated terminal number characteristic value and the calling party ratio characteristic value are higher than those of other groups, the group is a cat pool terminal group, and the mobile phone terminals in the group are cat pool terminals.
8. The method for identifying a cat pool terminal as claimed in claim 7, further comprising step S5, wherein the step S5 comprises:
step S51: taking the cat pool terminal group as a cat pool inspection library, and extracting a terminal income index value, a call base station number index value, a contact circle terminal number index value, an activation terminal number index value and a calling number call proportion index value in a newly activated mobile phone terminal to form a five-dimensional virtual coordinate of the newly activated mobile phone terminal;
step S52: respectively calculating and comparing Euclidean distances between five-dimensional virtual coordinates of the newly activated mobile phone terminal and coordinate values of K central points, and if the Euclidean distance between the five-dimensional virtual coordinates of the newly activated mobile phone terminal and the coordinate values of the central points of the cat pool check library is minimum, listing the newly activated mobile phone terminal as a suspected cat pool terminal;
step S53: and manually screening the suspected cat pool terminals, and judging whether the newly activated mobile phone terminal is a cat pool terminal according to a screening result.
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| CN112615966B (en) | 2023-04-14 |
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