KR101633861B1 - Apparatus for guiding suspecious spam call based on analysis of call traffic and method thereof - Google Patents

Abstract

The present invention discloses a suspected spam phone guidance device and a suspected spam phone guidance method for guiding a phone number of a suspected spam by analyzing a call amount of a phone number. The spam suspicious telephone guidance apparatus of the present invention includes: a call amount analyzing unit for accumulating and analyzing call amounts for a unit period for individual telephone numbers; A spam index evaluating unit for evaluating a spam index using the contrast between the past call volume and the recent call volume for the analyzed telephone number; A suspected spam number classifier for sorting the estimated total telephone numbers into spam numbers by sorting them in the order of the spam indexes; And a suspicious number providing unit for providing a suspected spam number in the order of the spam indexes. The present invention allows a user to inquire a suspected spam phone number without receiving a call, and can receive information of a suspected spam phone number as caller information when receiving a call.

Description

Technical Field [0001] The present invention relates to a spam suspicious telephone guide apparatus and a suspected spam call method based on traffic volume analysis,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a spam suspicion phone guidance apparatus, and more particularly, to a suspicious spam phone guide apparatus and a suspected spam phone call guiding method for informing a suspected spam phone with a sudden increase in call volume by analyzing a call amount of a phone number .

The spam telephony service provides an originating number, caller information (e.g., name) and spam information (e.g., the number of reported spam) to an application of the called terminal that receives the call. If the application indicates that it is not a spam phone, the user will pick up the phone even if the number is unknown, and if the spam number is displayed, the user rejects the call.

Thereafter, when the user registers the spam phone as a spam phone number, when an incoming call of the registered spam phone occurs, only the fact of the call incoming is recorded, the call incoming is ignored, and the called terminal does not generate a separate notification to the user.

The spam phone service assumes that the user reports the phone number of the spam phone. That is, it is possible to notify the users of the spam information of the calling number only when the spam registration history exists by reporting the spam number, and it is possible to provide the blocking service of the spam phone.

Therefore, even if the call volume is increased, the spam phone service does not fulfill its role if there is no report history registered as the spam number by the user. In fact, since users who receive and actively report spam correspond to a subset of all users, it takes time to report a spam phone. In addition, the owner of a spam phone frequently uses the telephone number to change the telephone number to avoid being reported as a spam number by the user by exploiting this fact.

Published Patent 2009-0096111 (2009.9.10 published)

The present invention provides a suspected spam phone guidance device and a suspected spam number guidance method for classifying a phone number of a phone number whose call volume increases as a suspected spam phone by analyzing a call amount of a phone number .

Another object of the present invention is to evaluate a spam index for each telephone number based on an increased call volume during a unit period and to provide users with a suspected spam number in the order of the evaluated spam index.

Another object of the present invention is to provide information on a suspected number of a spam as caller information to a user terminal of a called party for a call in which a suspected number of spam is a calling number.

According to an aspect of the present invention, there is provided a suspicious telephone guide device for a suspected spam based on call volume analysis, comprising: a call volume analyzer for cumulatively analyzing a call volume during a unit period with respect to individual telephone numbers; A spam index evaluating unit for evaluating a spam index using the contrast between the past call volume and the recent call volume for the analyzed telephone number; A suspected spam number classifier for sorting the estimated total telephone numbers into spam numbers by sorting them in the order of the spam indexes; And a suspicious number providing unit for providing a suspected spam number in the order of the spam indexes.

In the present invention, the call volume analyzing unit analyzes the number of outgoing calls and the number of outgoing messages for one day, week and month as the unit period as the call volume.

According to an aspect of the present invention, the spam exponent evaluating unit evaluates a spam index by a telephone number using a one-spam index, a main spam index, and a monthly spam index.

Here, the spam exponent evaluating unit may include a spam index of a recent daily call volume; The weekly spam index of the most recent 1-day call volume for the past weekly average daily call volume; And the monthly spam index of the latest daily traffic volume for the average monthly traffic volume per month in the past month.

The suspected number classification unit classifies the suspected number as a spam number to be provided to the user only when the number of reported spam phone numbers is less than a predetermined number for the evaluated phone number.

Further, the spam suspicious telephone guide apparatus further includes a telephone number collecting unit for receiving the calling number of the call incoming to the user terminal from the application of the user terminal, and collecting the transmitted calling number as a telephone number of a target to be analyzed do.

Here, the spam suspect number provision unit receives a request for a suspected spam number from the application, and provides the suspected spam number.

The spam suspicious telephone guide apparatus may further include a reception blocking request including at least one suspicious number selected by the user from the application provided with a suspected spam number, And further includes a reception blocking number managed by the reception blocking section.

Further, the suspected spam telephone guide apparatus may inquire the number registered as a spam phone number with respect to the received origination number when receiving the origination number from the application, and if the inquiry fails, And a calling information providing unit for inquiring information of the spam confidence index and providing the information as calling information.

According to another aspect of the present invention, there is provided a suspected spam phone guidance method for a suspected spam phone guide device, the method comprising: analyzing a call volume of a phone number, (a) a call amount analysis step of cumulatively analyzing a call amount for a unit period with respect to an individual telephone number; (b) a spam index evaluation step of evaluating a spam index using the comparison of the past call volume and the recent call volume for the unit period with respect to the analyzed telephone number; (c) a spam suspicious number classification step of sorting all the evaluated phone numbers into spam number by sorting them in the order of spam index; And (d) providing suspected spam numbers in the order of the spam indexes.

According to an aspect of the present invention, each call volume is analyzed against phone numbers suspected of being spam until a spam number is reported, and the spam phone number is classified based on the analyzed call volume and the user is informed.

According to another aspect of the present invention, in order to calculate increase / decrease data of call volume, each spam index is calculated for each unit period, and the calculated spam index is summed up and classified into a spam phone number in order.

According to another aspect of the present invention, when a call in which a suspect number of a spam number is a calling number is received at a user terminal, information of a spam index is provided to the user terminal as caller information so that the user can refuse the call.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate preferred embodiments of the invention and, together with the description of the invention below, And should not be construed as interpretation.
1 is a schematic block diagram of a suspected spam phone guidance system according to an embodiment of the present invention.
2 is a schematic internal structure diagram of the spam phone server of FIG.
FIG. 3 and FIG. 4 are views illustrating an example in which the spam phone server of FIG. 1 calculates a spam index.
5 and 6 are diagrams illustrating screens of the user terminal of FIG.
7 is a schematic flowchart of a suspected spam phone guidance method according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms, and the inventor should appropriately interpret the concepts of the terms appropriately It should be construed in accordance with the meaning and concept consistent with the technical idea of the present invention based on the principle that it can be defined.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention and do not represent all the technical ideas of the present invention. Therefore, It is to be understood that equivalents and modifications are possible.

1 is a schematic block diagram of a suspected spam phone guidance system 1 according to an embodiment of the present invention.

The suspicious phone call guidance system 1 according to an embodiment of the present invention includes a spam phone server 2 that is established over a wired or wireless network and provides a suspicious number service through spam analysis to a user terminal 3, .

The wired and wireless networks in the present invention typically include all communication networks capable of data communication using various protocols such as a mobile communication network, a wired and wireless public network such as the Internet, and a private network.

The spam phone server 2 corresponds to a suspected spam phone device according to the present invention. The spam phone server 2 provides a service of collecting the telephone number of the analysis target, the evaluation of the spam index, and the classification of the suspected number of spam, on the user terminals 3.

Here, the spam phone server 2 collects the telephone number to which the call is received from the user terminal 3, as the telephone number of the analysis target. The spam phone server 2 analyzes the increase in the call volume for each telephone number analyzed and evaluates the spam index. The spam phone server 2 then ranks the spam indexes of the evaluated individual telephone numbers and classifies the sorted telephone numbers into suspected spam numbers.

The suspected spam phone corresponds to a telephone number of which the number of reported as a spam phone by the user is less than a predetermined number. For example, assuming that the predetermined number is 0, a specific telephone number is classified as a suspected spam phone number in the process of increasing the call volume. If the spam number is reported as a spam number by the user who received the spam phone number, the spam phone number becomes a spam phone number. Of course, the spam phone number is provided with a spam number blocking service in which the number of reported spam is provided to all users who receive the call, and the reception of the call is blocked at the request of the user.

The user terminal 3 has a wired or wireless calling function and installs the application 300. Examples of the user terminal 3 include a smart terminal having a call function, an internet telephone terminal, and the like. The application 300 executed in the user terminal 3 performs data communication with the spam phone server 2 and provides the called number to the spam phone server 2 to receive the caller information display service, And can be inquired.

Fig. 2 is a schematic internal structure diagram of the spam phone server 2 of Fig. 1, and Figs. 3 and 4 are illustrations of a spam index evaluated by the spam phone server 2. Fig.

Referring to FIG. 2, the spam phone server 2 according to the embodiment of the present invention includes a call volume analyzer 22 for analyzing the increase / decrease of the call volume with respect to individual telephone numbers, A suspected spam number classifying unit 24 for sorting telephone numbers into spam suspicious telephone numbers according to the ranking of the spam indexes and a suspicious number providing unit 25 for providing spam suspicious numbers sorted, .

The spam phone server 2 may further include a telephone number collecting unit 21, a blocking block number 26, and a calling information providing unit 27.

The phone number collection unit 21 receives the call number of the call received from the application 300 to the user terminal 3, stores the received call number in the DB, and collects the phone numbers of the call volume analyzed.

The call amount analyzing unit 22 accumulates and analyzes the call amount for each unit number of the collected telephone numbers, and stores the analyzed information in the DB. The target of the amount of money to be analyzed includes the number of calls and the number of messages.

Preferably, the call volume analyzing unit 22 analyzes the number of outgoing calls and the number of outgoing messages for each telephone number collected using the unit period as the unit period, and stores the analyzed information in the DB do. The counting criteria of the unit period and the counting criterion of the number of calls may be various and are not particularly limited.

The spam exponent evaluating unit 23 evaluates the number of calls using the analyzed number of conversations as a spam index indicating the number of recent calls compared to the past call volume, and stores the estimated spam index information in the DB. The spam index is data indicating the degree of suspicion of spam, and as the value of the spam index increases, the probability of spam is high. That is, the telephone number in which the recent call volume is rapidly increasing is high in the spam index because it is highly likely to be a spam phone number that transmits various information to a large number of users.

Here, the spam index evaluating unit 23 evaluates the spam indexes by telephone number using the one spam index, the main spam index, and the monthly spam index. Of course, the unit periods of days, weeks and months may vary according to the criteria for estimating the period and have no special restrictions.

Also, the spam index evaluating unit 23 may refer to an exponent table for calculating the currency amount as an index for calculating the spam index. For example, assuming a workspam index, assuming that the current collected daily traffic volume is 15, either use the value 15 as the value of the day spam index, or use a specific value referenced 15 from the exponential table Also,

Referring to FIG. 3, the spam index evaluating unit 23 calculates the spam indexes of individual telephone numbers by summing up the three spam indexes evaluated as one, week, and month, respectively.

Preferably, the spam confidence index evaluating unit 23 calculates the spam indexes of individual telephone numbers by summing up the three spam indexes evaluated as one, week, and month, respectively, by referring to the index table.

In the case of FIG. 3, the one-spam index corresponding to the number of the latest daily call volume is determined for each of the call and the letter by referring to the table of the one-s spam index shown in the figure. The number of calls per day is initialized to zero at every midnight every day, and is collected in real time from the midnight to the hour. For example, if the current number of calls today is 111, the daily spam confidence level for the call is determined to be "0.3". And assuming that the number of characters currently is 1005, the character's daily spam index is determined to be "2.6".

In the case of FIG. 4, an exponent table for determining the currency spam index and the character spam index in the unit of week and month in FIG. 3 is exemplified. The primary spam confidence level is determined from the number of calls per day against the average daily call volume per day in the past. For example, if the number of calls per week is 25, and the number of calls today is 111, the main spam index "0.7" is referenced from the exponential table as 111/25 = 4.44. Here, the number of calls per day on a weekly average basis is calculated as the average number of calls per day per week since it is initialized to zero at midnight of the beginning of each week. That is, the weekly average number of calls per day on Monday is the number of cumulative calls on Sunday and Monday divided by two. Then, the weekly average number of calls per day calculated on Saturday is the number of accumulated real-time calls from Sunday to Saturday divided by 7.

In addition, the monthly spam confidence level is determined from the number of calls per day in the past month relative to the average daily call volume in the past month. For example, if the number of calls per month is 30 per day, and the number of calls today is 111, the monthly spam index "0.5" is referenced from the index table as 111/30 = 3.7. Here, the number of calls per day on average per month is initialized to 0 at midnight on the first day of each month, and can be calculated based on the first day of each month. That is, the number of calls per day on the 15th day is divided by the cumulative number of calls from the 1st day to the 15th day by 15. Then, the average number of calls per day on the 25th day is the number of accumulated calls from the 1st to 25th divided by 25. In the above example, the one-spam index 0.3, the main spam index 0.7, and the monthly spam index 0.5 are added, and the spam index is calculated as 1.5.

The spam suspicious number classifier 24 sorts the spam indexes calculated for each telephone number from a maximum value to a minimum value and classifies the corresponding telephone numbers into suspected spam numbers. Then, the number 1 in the spam suspect number has the highest value of the spam index, and corresponds to the most suspicious phone number.

Here, the spam suspicious number classifying unit 24 classifies suspicious spam as the analysis information of the call volume is provided to the user only when the number of spam reported for each telephone number for which the spam index is evaluated is less than a predetermined number (for example, 10) . That is, a telephone number whose number of spam reports exceeds a predetermined number is a spam number because the user has already received the call in which the telephone number is the calling number, judged the contents of the telephone conversation, and reported it as a spam phone. Therefore, although the spam number is analyzed and evaluated by the call volume analyzer 22, the spam number is not classified as a suspicious number to be provided to the user but is provided to the user as a spam number.

The spam suspicious number providing unit 25 provides information on suspicious phone numbers arranged in the order of size of the spam index according to the request of the user.

Here, the spam suspicious number providing unit 25 may provide the information of the suspected spam number according to the request of the application 300. That is, although the user of the application 300 does not have a history of receiving the call with the suspected number of the spam, the user of the application 300 can request the information through the inquiry menu of the application 300 and receive the suspected number of the spam.

The blocking list 26 receives a blocking request for blocking the reception of spam including at least one suspicious number from the user who has looked up the suspect number in the application 300 and sets the suspected number as a blocking number have. Then, when receiving a call in which the suspect telephone number of the blocked spam is the calling number, the user terminal 3 sends a separate notification (for example, a ringing tone, vibration It is possible to display only the fact of receiving the call. If a call in which the suspected spam number is the calling number is received at the user terminal 3, the user can report the suspected spam number as a spam phone number.

Meanwhile, the reception blocking section 26 can provide a reception blocking service of the suspected number of spam through the environment setting of the user. For example, the user may pre-configure the blocking service for suspected spam numbers based on the number of calls / spam indexes or suspected spam numbers in the preferences. Then, the user terminal 3 can be provided with a reception blocking service for suspected spam numbers according to the spam index or rank of the suspected spam number whose data is changed in real time. Then, the user can replace the procedure for requesting the blocking of the reception of the suspicious phone number of the suspected spam phone number after inquiring the suspected spam phone number every time by the automated service.

The calling information providing unit 27 provides the application 300 with the information of the suspected phone number of the spam as the calling information service for the call to the user terminal 3.

For example, the calling information providing unit 27 receives the calling number of the incoming call from the application 300, and provides the spam information (e.g., the number of reported spam numbers) inquired with the transmitted calling number as a key. Here, if the spam information inquiry is unsuccessful, the calling information providing unit 27 provides the information of the suspected spam phone number inquired with the calling number as a key. Then, the application 300 displays, on the screen, the content of the suspected phone number as the sender information.

5 and 6 are exemplary diagrams of screens of the user terminal 3 of FIG. Fig. 5 is a screen for inquiring the spam index, and Fig. 6 is a screen for guiding the spam phone number to a suspicious phone number on a call incoming call screen.

Referring to FIG. 5, the application 300 requests the provision of a suspected spam phone number by the user's operation, receives information on the suspected spam phone number from the spam phone server 2, and displays the information on the screen. The user has the benefit of being able to inquire the rank information of the suspected spam phone number without receiving the call with the spam phone number as the sender number.

Here, the application 300 can request the spam phone server 2 to block reception of the suspected spam phone number by the user's operation. The user can select the suspicious phone number of the spam in the application 300 and set the reception blocking so that the reception can be blocked in advance even when the phone is suspected of spam. Furthermore, a user who does not want to receive a call containing unnecessary spam information is significantly less likely to receive a call with unnecessary spam information if he or she registers an automatic reception blocking for a suspected spam phone number.

Referring to FIG. 6, when the user terminal 3 receives a call, the application 300 transmits the calling number of the received call to the spam phone server 2 to request the provision of caller information. The spam phone server 2 inquires the spam information with the transmitted originating number, and provides the inquired spam information to the application 300. If the inquiry of the spam information is unsuccessful, the spam phone server 2 inquires the information of the spam index with the calling number and provides the information of the inquired spam index. In Fig. 6, the application 300 displays information indicating "serious" as the information of the provided spam index on the telephone receiving screen. Then, the user confirms information of "serious" displayed in real time on the screen, and then selects whether or not to receive the call.

Here, the spam phone server 2 can define the indication information of the suspected spam class such as "normal", "attention", "attention", "boundary" and "seriousness" Of course, when the user selects the display information of "serious" to request the automatic reception blocking in the environment setting, the user notification is omitted by blocking the reception. It does not.

7 is a schematic flowchart of a suspected spam phone guidance method according to an embodiment of the present invention.

When the application 300 is installed in the user terminal 3, the installed application 300 communicates data with the spam phone server 2 and provides the guidance service of the suspected spam phone number to the user.

The spam phone server 2 receives the call originating number of the incoming call from the application 300 and registers it in the DB as the telephone number of the target of the call volume analysis (S10).

When the telephone numbers to be analyzed are collected, the spam phone server 2 accumulates the number of outgoing calls for the individual telephone numbers and analyzes them as call volume information (S20).

When the call volume information is analyzed, the spam phone server 2 evaluates the data indicating the degree of increase / decrease of the current call volume as a spam index against the past call volume (S30).

Here, as described above with reference to FIG. 3 and FIG. 4, the spam index can be calculated by summing up three spam indices calculated for each unit period of day, week, and month. Of course, the criteria and evaluation methods for calculating the spam index may vary, and it is enough to quantitatively indicate the degree of increase in the amount of money through the spam index.

When the spam indexes are evaluated, the spam phone server 2 sorts the telephone numbers according to the rank of the spam indexes and classifies them as spam phone numbers (S40).

Here, the spam phone server 2 classifies the telephone number as a suspected spam number to be provided to the user only when the number of reported spam phone numbers is less than a predetermined number (e.g., 10) for the evaluated telephone number. If the number of spam reports corresponding to the telephone number is greater than the predetermined number, the telephone number is already verified as a spam number by the users, so that the user is guided to the spam number.

Thereafter, at the request of the user terminal 3, the spam phone server 2 provides the information of the suspected spam phone number to the user terminal 3 (S50). Then, the application 300 of the user terminal 3 displays a list of suspected spam phone numbers on the screen through the screen illustrated in Fig.

Further, the application 300 may select at least one suspected number of spam from the user, and transmit the selected phone number to the spam phone server 2 to request the setting of the reception blocking. Optionally, the user is able to set the blocking for the suspected spam phone number collectively through configuration. Then, the spam phone server 2 registers the suspected spam phone number and provides the reception blocking service to the user terminal 3 (S60).

Thereafter, when a call is received from the user terminal 3, the spam phone server 2 receives the origination number for the incoming call and provides corresponding spam information or spam index information (S70). First, the spam phone server 2 inquires the spam information with the transmitted originating number. If the inquiry is successful, the spam phone server 2 transmits information including the number of reported spam to the application 300 as spam information. If the inquiry is unsuccessful, the spam phone server 2 inquires the suspected suspicious information of the transmitted suspicious number, and sends the suspected suspected information of the inquiry to the application 300.

In the above-described embodiment, the term "part" is not used as a term meaning a hardware division of the spam phone server 2. Accordingly, a plurality of constituent parts may be integrated into one constituent part, and one constituent part may be divided into a plurality of constituent parts. The constituent unit may mean a constituent part of hardware, but may also mean a constituent part of software. Therefore, it should be understood that the present invention is not particularly limited by the term "part ".

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It goes without saying that various modifications and variations are possible within the scope of equivalence of the scope.

1: Spam Doubt Phone Guide System 2: Spam Phone Server
3: user terminal 300: application

Claims (18)

A call volume analyzing unit for accumulating and analyzing the call volume for a unit period for an individual telephone number;
A spam exponent evaluating unit for evaluating a spam index, which is more likely to be spam as the recent call volume increases, using the comparison of the past call volume and the recent call volume for the analyzed telephone number;
A suspected spam number classifier for comparing the number of reported spam phone numbers with a total number of spam phone numbers for the evaluated total phone numbers, sorting phone numbers below a predetermined number of spam numbers in the order of spam indexes and sorting them into suspected spam numbers;
Providing suspected spam numbers in the order of spam indices;
The method comprising the steps of: receiving an origination number of a call destined for a user terminal from an application of the user terminal; inquiring the number of reported spam phone numbers for the transmitted originating number; And provides the information as originating information; And
When reception of a request for blocking reception including at least one suspected number of spam selected by the user from the application provided with the suspected spam number is received, reception of a call whose suspected number is the calling number is blocked by the user terminal Blocking information is received and reception of a reception blocking request including condition information on a rank of a spam index or a spam index is received, reception of a call in which a suspected number of spam satisfying the condition information is a calling number is blocked by the user terminal A blocking block for providing blocking information
Wherein the spam phone is a mobile phone. The method according to claim 1,
The call-
And analyzes the number of outgoing calls and the number of outgoing messages for one day, week and month as the unit period as the call volume. The method according to claim 1,
Wherein the spam exponent evaluating unit comprises:
Wherein the spam index is determined by using a daily spam index, a week spam index, a week spam index, and a monthly spam index. The method of claim 3,
Wherein the spam exponent evaluating unit comprises:
The daily spam score of the last 1 day's call volume;
The weekly spam index of the most recent 1-day call volume for the past weekly average daily call volume; And
Monthly Spam Index for the last 1 day of the last 1 day,
And the spam index calculating unit calculates the spam index by using the spam index. delete The method according to claim 1,
Further comprising a phone number collecting unit for receiving the calling number of the incoming call from the application and collecting the transmitted calling number as a phone number of a target to be analyzed for call volume. The method according to claim 6,
The spam suspect number provision unit,
Receives a request for a suspected number of spam from the application, and provides the suspected number of spam. delete delete A suspected spam phone guidance method for a suspected spam phone guide device for analyzing a call volume of a phone number to guide a classified suspected spam number,
(a) a call amount analysis step of cumulatively analyzing a call amount for a unit period with respect to an individual telephone number;
(b) a spam index evaluation step for evaluating a spam index, which is more likely to be spam as the recent call volume increases, using the comparison of the past call volume and the recent call volume for the analyzed telephone number;
(c) comparing the number of reported spam phone numbers with the total number of evaluated phone numbers, and comparing the number of phone numbers below a predetermined number with a spam index number, ;
(d) Providing suspected spam numbers in order of spam index numbers
(e) receiving an origination number of a call destined to the user terminal from the application of the user terminal, inquiring the number of reported spam phone numbers for the transmitted origination number, and if the inquiry is failed, A source information providing step of searching for information on a spam index and providing the source information as source information; And
(f) receiving a request for blocking the reception including at least one suspected number of spam selected by the user from the application provided with the suspected spam number, the reception of the call whose suspected number is the calling spam number, Receiving a call blocking request including condition information on a rank of a spam index or a spam index, receiving reception of a call in which a suspected spam number satisfying the condition information is a call number, Blocking management step of providing blocking information to be blocked in the reception blocking management step
The method comprising the steps of: 11. The method of claim 10,
The step (a)
And analyzing the number of outgoing calls and the number of outgoing messages for one, week, and month as the unit period as the call volume. 11. The method of claim 10,
The step (b)
Wherein the step of evaluating the spam index by the telephone number is performed using the daily spam index, the week spam index, the main spam index, and the monthly spam index. 13. The method of claim 12,
The step (b)
The daily spam score of the last 1 day's call volume;
The weekly spam index of the most recent 1-day call volume for the past weekly average daily call volume; And
Monthly Spam Index for the last 1 day of the last 1 day,
And a step of calculating a spam index by using the spam index. delete 11. The method of claim 10,
Prior to step (a)
Further comprising a phone number collecting step of receiving the calling number of the incoming call from the application and collecting the transmitted calling number as a phone number of a subject whose call volume is to be analyzed. 16. The method of claim 15,
The step (d)
Receiving a request for the suspected number of spam from the application, and providing the suspected number of spam. delete delete

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