KR20140066464A - Method of intercepting spam message and apparatus performing the same - Google Patents

Abstract

According to an embodiment of the present invention, the method for blocking spam message is performed in a spam message blockage device connected to a sender terminal. The method of blocking spam messages comprises the following steps: analyzing messages received from a sender terminal and producing a character string; dividing the character string into certain character number and producing a plurality of spam word candidates; determining the corresponding spam word candidate as a spam word if the spam word candidates are found in a pre-established database on spam information; and determining the received message as a spam message according to the proportion of the spam words of the spam word candidates. Therefore, the present invention can determine whether a word is a spam word or not even if there exists at least one of blank characters and special characters between the words in a spam message.

Description

METHOD OF INTERCEPTING SPAM MESSAGE AND APPARATUS PERFORMING THE SAME [0002]

Embodiments of the present invention are directed to a method for blocking spam messages and an apparatus for implementing the method.

The mobile communication terminal may be a personal mobile communication terminal, a personal digital assistant (PDA), a smart phone, an International Mobile Telecommunication 2000 (IMT 2000) LAN terminal and the like, and is capable of implementing various functions using an application program including wireless communication.

The mobile communication terminal has not only been reduced in size and weight due to steady development, but it is being reborn as a complex communication terminal having various functions such as mp3, camera and navigation, and is already becoming a necessity of modern people.

Such a mobile communication terminal is also used as a medium for promoting an advertisement through a call or message (such as a short message and a multimedia message). To this end, the sender of the advertisement message transmits the customer management and product advertisement message with the consent of the receiver to advertise the desired contents.

However, a spam-based advertisement message sent to an unspecified number of recipients is often received without the consent of the recipient. Therefore, a method for protecting recipients from such harmful messages is required.

An embodiment of the present invention provides a spam message blocking method capable of determining whether a word is a spam word even if at least one of a space character and a special character exists between words in a message and an apparatus for executing the spam message blocking method .

An embodiment of the present invention is to provide a spam message blocking method capable of processing a corresponding message as a spam message according to a ratio of spam words in a message, and an apparatus for executing the spam message blocking method.

The problems to be solved by the present invention are not limited to the above-mentioned problem (s), and another problem (s) not mentioned can be clearly understood by those skilled in the art from the following description.

Among the embodiments, the spam message blocking method is executed in the spam message blocking device connected to the sender terminal. The spam message blocking method includes: generating a message string by analyzing a message received from the sender terminal; generating a plurality of spam candidate words by dividing the message string into a predetermined number of characters; Determining a candidate word as a spam word if a plurality of spam candidate words exist, and determining the message as a spam message according to a proportion of the spam word among the plurality of spam candidate words.

In one embodiment, the spam message blocking method may include determining whether a phone number of the calling terminal exists in a pre-stored contact, and if the phone number of the calling terminal exists, determining that the message is not a spam message The method comprising the steps of:

In one embodiment, analyzing the message to generate a message string may further comprise generating at least one of a space character and a special character in the message to generate a message string.

In one embodiment, the step of generating a plurality of spam candidate words by dividing the message string into a specific number of characters may further include generating a plurality of message strings by dividing the message string by character type.

In one embodiment, if the plurality of spam candidate words are present in the pre-established spam information database, the step of determining the candidate word as a spam word may include determining a spam word list, a spam word, and a spam URL in a social network, (Uniform Resource Locator), and establishing a spam information database.

In one embodiment, the step of determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words may include determining that a percentage of the spam word occupies a specific ratio The method may further comprise determining the message as a spam message.

In one embodiment, determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words includes extracting a telephone number of a sender terminal that has transmitted a message determined as the spam message, And updating the spam phone number list in the social network if the phone number does not exist in the pre-established spam information database.

In one embodiment, the spam message blocking method may further include sending a warning message to the user when the message is determined as a spam message.

Among the embodiments, the spam message blocking method is executed in the spam message blocking device connected to the sender terminal. The spam message blocking method includes: generating a plurality of spam candidate words by analyzing a message received from the sender terminal; determining a candidate word as a spam word if the plurality of spam candidate words exist in a pre-established spam information database; And determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words.

In one embodiment, the spam message blocking method may include determining whether a phone number of the calling terminal exists in a pre-stored contact, and if the phone number of the calling terminal exists, determining that the message is not a spam message The method comprising the steps of:

In one embodiment, if the plurality of spam candidate words are present in the pre-established spam information database, the step of determining the candidate word as a spam word may include, in a social network, a list of spam phone numbers, And constructing a spam information database by receiving at least one of a URL (Uniform Resource Locator) list.

In one embodiment, the step of determining the message as a spam message according to the ratio of the spam word may include determining the message as a spam message if the percentage of the spam words occupied by the plurality of spam candidate words is more than a certain ratio The method comprising the steps of:

The step of determining the message as a spam message according to the ratio of the spam word may include extracting a telephone number of a sender terminal that has transmitted a message determined as the spam message, And updating the spam phone number list in the social network if the phone number does not exist.

Among the embodiments, the spam message blocking device connected to the sender terminal includes a message manager for generating a message string by analyzing a message received from the sender terminal, and a plurality of spam candidate words by dividing the message string into a specific number of characters Determines a candidate word as a spam word if the plurality of spam candidate words exist in the pre-established spam information database, and determines the message as a spam message according to a proportion of the spam word among the plurality of spam candidate words And a spam judgment unit.

In one embodiment, the spam determining unit determines whether or not the telephone number of the calling terminal exists in the pre-stored contact, and determines that the message is not a spam message if the telephone number of the calling terminal exists as a result of the determination Spam message blocking device.

In one embodiment, the message management unit may generate a message string by removing at least one of a blank character and a special character in the message.

In one embodiment, the message manager may generate a plurality of message strings by dividing the message strings into character types.

In one embodiment, the spam message blocking device may further include a spam information database constructed by receiving at least one of a spam phone list, a spam word list, and a spam URL (Uniform Resource Locator) list in a social network have.

In one embodiment, the spam determining unit may determine the message as a spam message if the percentage of the spam words among the plurality of spam candidate words is greater than a specific ratio.

In one embodiment, the spam message blocking device extracts the phone number of the sender terminal that has sent the message determined as the spam message, and updates the spam phone number list in the social network if the phone number does not exist in the spam information database And a spam message blocking control unit.

In one embodiment, the spam message blocking controller may display a warning message to the user when the message is determined as a spam message.

The details of other embodiments are included in the detailed description and the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and / or features of the present invention, and how to accomplish them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

According to an embodiment of the present invention, it is possible to determine whether a corresponding word is a spam word even if at least one of a space character and a special character exists between words in the message.

An embodiment of the present invention can process a corresponding message as a spam message according to the ratio of spam words in the message.

1 is a network diagram illustrating a spam message blocking system according to an embodiment of the present invention.
2 is a block diagram illustrating a spam message blocking apparatus according to an exemplary embodiment of the present invention.
3 is a block diagram illustrating a spam message blocking apparatus according to another embodiment of the present invention.
FIG. 4 is a flowchart illustrating a method of blocking a spam message according to an exemplary embodiment of the present invention. Referring to FIG.
5 is a flowchart for explaining another embodiment of a spam message blocking method according to the present invention.
FIG. 6 is a flow chart for explaining another embodiment of a spam message blocking method according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The spam message blocking device according to an embodiment of the present invention is included in a mobile communication terminal, and the mobile communication terminal can be a mobile communication terminal such as a personal digital assistant (PCS), a personal digital assistant Lt; / RTI > In the present invention, the message is a term including a message used in an SMS (Short Message Service), an EMS (Enhanced Messaging Service), an MMS (Multimedia Messaging Service), or the like.

1 is a network diagram illustrating a spam message blocking system according to an embodiment of the present invention.

Referring to FIG. 1, a spam message blocking system includes a spam message blocking apparatus 100 and a caller terminal 200. Here, the spam message blocking device 100 and the caller terminal 200 may be connected through a communication network.

The spam message blocking device 100 may determine whether the message received from the sender terminal 200 is a spam message and display a warning about the message. Such a spam message blocking device 100 will be described in more detail below with reference to FIGS. 2 to 3. FIG.

The calling terminal 200 is a terminal capable of transmitting a message. The sender terminal 200 is a terminal having a central processing unit and a memory device such as a PC, a tablet PC, a smart phone, and the like.

2 is a block diagram illustrating a spam message blocking apparatus according to an exemplary embodiment of the present invention.

Referring to FIG. 2, the spam message blocking apparatus 100 includes a communication unit 110, a message management unit 120, a spam determination unit 130, and a spam message blocking control unit 140, (150).

The communication unit 110 may set or maintain a communication environment for receiving a message from the calling terminal 200 under the control of the spam message blocking control unit 140. [

The message management unit 120 may analyze a message received from the sender terminal 200 and generate a message string. The message management unit 120 may provide the generated message string to the spam message blocking control unit 140.

In one embodiment, the message manager 120 may generate a message string by removing blank characters from the message. For example, if the message is " Your Possible Exposure Limit is 1 Million Won ", the message management unit 120 removes the blank character of the message and generates a message string " . For example, if the message is " 10 million won loanable access http://spam.co.kr ", the message management unit 120 removes the blank character string and transmits a message string " .co.kr ".

In another embodiment, the message manager 120 may generate a message string by removing blank characters and special characters from the message. For example, if the message is " < payout > 1 million won is available ", the message management unit 120 may generate a message string " loan is available for 1 million won "

The spam determining unit 130 may determine the corresponding message as a spam message by using the information of the message received from the sender terminal 200. [ The spam determination unit 130 may provide the spam message blocking control unit 140 with information on the determined message. For example, the message includes " loan ", and the spam determiner 130 may provide the spam message blocking controller 140 with information that the message is a spam message.

The spam determining unit 130 may determine the corresponding message as a spam message by using the sender information of the message.

In one embodiment, the spam determination unit 130 may determine the message as a spam message if the telephone number of the message sender exists in the pre-established spam information database. For example, if the telephone number 070-1234-5678 of the message sender exists in the pre-established spam information database, the spam judgment unit 130 can judge the message as a spam message.

The spam determination unit 130 may determine the corresponding message as a spam message using a word in the message string.

In one embodiment, the spam determination unit 130 may divide the message string into a specific number of characters, and if the spam word is included, determine the message as a spam message.

For example, when the message string is " your creditable amount is 1 million won ", the spam determination unit 130 divides the message string by two characters to calculate the spam candidate words " customer ", " "," Possible "," limit "... And if the spam candidate word exists in the established spam information database, the message can be determined as a spam message. For example, if the message string is " loan is available for one million won ", the spam judging unit 130 divides the message string by two characters to generate spam candidate words " And if the spam candidate word exists in the established spam information database, the message can be determined as a spam message.

In another embodiment, the spam determining unit 130 may divide the message string into character types and determine the message as a spam message if the spam word is included. For example, when the message string is " 10 million won loanable access http://spam.co.kr ", the spam determination unit 130 sets 1000, // spam.co.kr ", and if each message string contains a spam word, the message can be determined as a spam message.

The spam determination unit 130 may determine the corresponding message as a spam message according to the ratio of the spam word in the message string generated by analyzing the message.

In one embodiment, the spam determination unit 130 generates a plurality of spam candidate words using the message string, and if the ratio of spam word occupation among the plurality of spam candidate words is greater than or equal to a certain ratio, the spam determination unit 130 determines the message as a spam message . For example, if the message string is "a fee-free loan consultant" and the spam words are "commission", "loan", "finance", "consultation", then the spam- As shown in FIG.

In another embodiment, the spam determination unit 130 generates a plurality of spam candidate words using the message string, and if the percentage of the spam candidate words among the plurality of spam candidate words is less than a specific ratio, the message is not a spam message . For example, when the message string is " a call has been made to a manor call customer " and the spam word is " customer ", the spam determination unit 130 may determine that the message is not a spam message.

The spam determining unit 130 may determine that the message is not a spam message if the phone number of the message sender exists in the pre-stored contact.

The spam message blocking control unit 140 may control other components of the spam message blocking device 100 to store the message.

The spam message blocking control unit 140 may control the spam determination unit 130 to store the message received from the sender terminal 200 in the message storage unit 150. [ For example, if the message includes a spam word, the spam message blocking control unit 140 controls the spam message storage unit 150 to store the message in the spam storage box according to the result of the determination . For example, if the phone number of the sender of the message exists in the pre-stored contact, the message may be stored in the general storage of the message storage unit 150 according to the result determined by the spam determination unit 130.

The spam message blocking control unit 140 can notify the user that the message received from the sender terminal 200 is a spam message by using the spam determination unit 130. [ For example, if the message includes a spam word, the spam message blocking control unit 140 may control the user to display a warning message according to the result determined by the spam determination unit 130.

The spam message blocking control unit 140 can update the list in the social network using the spam determination unit 130. [

In one embodiment, spam message blocking control 140 may update the list of spam phone numbers in the social network. For example, if the phone number of the sender of the spam message does not exist in the established spam information database according to the result determined by the spam determination unit 130, the spam message blocking control unit 140 updates the spam phone number list in the social network can do.

In another embodiment, the spam message blocking control 140 may update the spam word list in the social network. For example, the spam message blocking control unit 140 updates the spam word list in the social network if the spam word referenced in the message is determined as a spam message by the spam determination unit 130, can do.

In yet another embodiment, the spam message blocking control 140 may update the spam URL list in the social network. For example, the spam message blocking control unit 140 updates the URL list in the social network if the spam URL referenced in the determination of the message as a spam message by the spam determination unit 130 does not exist in the established spam information database .

3 is a block diagram illustrating a spam message blocking apparatus according to another embodiment of the present invention. 3, the same or corresponding contents as those described above with reference to FIG. 2 will be omitted, however, those skilled in the art will appreciate that other embodiments of the spam message blocking device shown in FIG. It will be understandable enough.

The spam message blocking device 100 disclosed in FIG. 3 may further include a spam information database 160.

The spam information database 160 may store the spam information by the reference frequency.

In one embodiment, the spam information database 160 may receive and store at least one of a spam phone list, a spam word list, and a spam URL (Uniform Resource Locator) list in a social network. In another embodiment, the spam information database 160 may receive and store at least one of at least one spam phone number, at least one spam word, and at least one spam URL from a user.

Hereinafter, a spam message blocking method will be described with reference to FIGS. The spam message blocking method to be described later is performed in the above-described spam message blocking apparatus 100, so that corresponding contents will not be duplicated. However, those skilled in the art will appreciate from the foregoing description that an embodiment of the spam message blocking method .

FIG. 4 is a flowchart illustrating a method of blocking a spam message according to an exemplary embodiment of the present invention. Referring to FIG. The embodiment of FIG. 4 relates to an embodiment in which it is possible to check whether a message received from a sender terminal is a spam message.

Referring to FIG. 4, the spam message blocking apparatus 100 analyzes a message received from the sender terminal 200 and generates a message string (step S410). The spam message blocking device 100 generates a plurality of spam candidate words using the message string (step S420). The spam message blocking device 100 determines whether there are a plurality of spam candidate words in the established spam information database (step S430). If a plurality of spam candidate words exist in the established spam information database, the spam message blocking device 100 determines the candidate word as a spam word (step S440). The spam message blocking device 100 determines the message as a spam message according to the proportion of spam words among the plurality of spam candidate words (step S450).

5 is a flowchart for explaining another embodiment of the spam message blocking method according to the present invention. An embodiment of FIG. 5 relates to an embodiment wherein the message received from the sender terminal is a spam message and the corresponding information can be provided to a server in the social network.

5, the spam message blocking apparatus 100 analyzes a message received from the sender terminal 200 and determines whether the corresponding message is a spam message (Step S510). If the spam message blocking device 100 determines that the message is a spam message (step S520), it extracts the telephone number of the sender terminal that transmitted the message (step S530). If the phone number does not exist in the pre-established spam information database (step S540), the spam message blocking device 100 updates the list of spam phone numbers in the social network (step S550).

FIG. 6 is a flow chart for explaining another embodiment of a spam message blocking method according to the present invention. One embodiment of FIG. 6 relates to an embodiment in which a message received from a sender terminal can be confirmed as a spam message.

6, the spam message blocking apparatus 100 analyzes a message received from the sender terminal 200 and generates a plurality of spam candidate words (step < RTI ID = 0.0 > S610). If a plurality of spam candidate words exist in the established spam information database (step S620), the spam message blocking device 100 determines the candidate word as a spam word (step S630). The message is determined as a spam message according to the ratio of spam words among a plurality of spam candidate words (step S640).

In one embodiment of step S610, the spam message interception device 100 may generate a plurality of spam candidate words by dividing the message based on the whitespace character. For example, if the message is " pay-out 10 million won ", the spam message interceptor 100 may generate a plurality of spam candidate words " outgoing "," 10 million won "

Embodiments of the present invention include computer readable media including program instructions for performing various computer implemented operations. The computer-readable medium may include program instructions, local data files, local data structures, etc., alone or in combination. The media may be those specially designed and constructed for the present invention or may be those known to those skilled in the computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floppy disks, and ROMs, And hardware devices specifically configured to store and execute the same program instructions. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the scope of the appended claims and equivalents thereof.

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, but, on the contrary, Modification is possible. Accordingly, the spirit of the present invention should be understood only in accordance with the following claims, and all equivalents or equivalent variations thereof are included in the scope of the present invention.

100: Spam message blocking device
110:
120:
130: Spam judgment unit
140: Spam message blocking control unit
150: Message storage unit
160: Spam information database
200: caller terminal

Claims (21)

A spam message blocking method executed in a spam message blocking device connected to a sender terminal,
Analyzing a message received from the sender terminal and generating a message string;
Generating a plurality of spam candidate words by dividing the message string into a predetermined number of characters and determining the candidate word as a spam word if the plurality of spam candidate words exist in the pre-established spam information database; And
And determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words.
The method according to claim 1,
Determining whether a telephone number of the calling terminal exists in a pre-stored contact; And
And determining that the message is not a spam message if the phone number of the sender terminal exists as a result of the determination.
The method of claim 1, wherein analyzing the message to generate a message string comprises:
Further comprising removing at least one of a space character and a special character in the message to generate a message string.
The method of claim 1, wherein generating the plurality of spam candidate words by dividing the message string into a predetermined number of characters
Further comprising the step of generating a plurality of message strings by dividing the message string by a character type.
The method according to claim 1, wherein, when the plurality of spam candidate words exist in the pre-established spam information database, the step of determining the candidate word as a spam word
Further comprising receiving at least one of a spam phone list, a spam word list, and a spam URL (Uniform Resource Locator) list in a social network to construct a spam information database.
The method as claimed in claim 1, wherein the step of determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words
And determining the message as a spam message if the ratio of the spam words among the plurality of spam candidate words is greater than a specific ratio.
The method as claimed in any one of claims 5 and 6, wherein the step of determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words
Extracting a telephone number of a sender terminal that has transmitted a message determined as the spam message; And
And updating the spam phone number list in the social network if the phone number does not exist in the pre-established spam information database.
The method according to claim 1,
And sending a warning message to the user if the message is determined as a spam message.
A spam message blocking method executed in a spam message blocking device connected to a sender terminal,
Analyzing a message received from the sender terminal to generate a plurality of spam candidate words;
Determining the candidate word as a spam word if the plurality of spam candidate words exist in the pre-established spam information database; And
And determining the message as a spam message according to a ratio of the spam word among the plurality of spam candidate words.
10. The method of claim 9,
Determining whether a telephone number of the calling terminal exists in a pre-stored contact; And
And determining that the message is not a spam message if the phone number of the sender terminal exists as a result of the determination.
The method of claim 9, wherein, when the plurality of spam candidate words exist in the pre-established spam information database, the step of determining the candidate word as a spam word
Further comprising: receiving at least one of a spam phone number list, a spam word, and a spam URL (Uniform Resource Locator) in a social network to construct a spam information database.
The method of claim 9, wherein determining the message as a spam message according to a ratio of the spam word
And determining the message as a spam message if the ratio of the spam words among the plurality of spam candidate words is greater than a specific ratio.
The method as claimed in any one of claims 11 and 12, wherein the step of determining the message as a spam message according to a ratio of the spam word
Extracting a telephone number of a sender terminal that has transmitted a message determined as the spam message; And
And updating the spam phone number list in the social network if the phone number does not exist in the pre-established spam information database.
A spam message blocking device connected to a sender terminal,
A message manager for analyzing a message received from the sender terminal and generating a message string; And
The method comprising: generating a plurality of spam candidate words by dividing the message string into a predetermined number of characters; determining the candidate word as a spam word if the plurality of spam candidate words exist in the pre-established spam information database; And a spam determining unit for determining the message as a spam message according to a ratio of the spam word among the words.
15. The apparatus of claim 14, wherein the spam determining unit
Wherein the controller determines whether a phone number of the calling terminal exists in the pre-stored contact, and determines that the message is not a spam message if the phone number of the calling terminal exists as a result of the determination.
15. The apparatus of claim 14, wherein the message management unit
Wherein at least one of a space character and a special character is removed from the message to generate a message string.
15. The apparatus of claim 14, wherein the message management unit
Further comprising the step of generating a plurality of message strings by dividing the message string by a character type.
15. The method of claim 14,
Further comprising a spam information database constructed by receiving at least one of a spam phone number list, a spam word list, and a spam URL (Uniform Resource Locator) list in a social network.
15. The apparatus of claim 14, wherein the spam determining unit
And determines the message as a spam message if the ratio of the spam words among the plurality of spam candidate words is greater than a specific ratio.
The method according to any one of claims 18 and 19,
Further comprising a spam message blocking control unit for extracting a telephone number of a caller terminal that has transmitted the message determined as the spam message and updating the spam phone number list in the social network if the telephone number does not exist in the spam information database Characterized by a spam message blocking device.
21. The apparatus of claim 20, wherein the spam message blocking control unit
And displays a warning message to the user when the message is determined as a spam message.

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