KR20110067630A - System and method for bad user monitoring of on-line game service - Google Patents

Abstract

PURPOSE: A bad user monitoring system and method thereof for an online game service are provided to efficiently perform monitoring process about bad users by automating a bad user detection process by analyzing game log information. CONSTITUTION: A log information collector(21) collects game log information related to a specific online game service. The collected game log information is stored in log information database. A log information analyzer(22) periodically accesses game log information. An analyzed result manager(23) manages a history to satisfy each user. A bad user selector(24) selects bad users according to a preset selection criteria.

Description

Bad user monitoring system and method for online game service {System and Method for Bad User Monitoring of On-Line Game Service}

The present invention relates to a rogue user monitoring system and method for an online game service, and in particular, to effectively find and take measures for rogue users who abnormally use an online game service, such as playing a game using a robot program. give.

With the development of communication network and computer related technologies, various kinds of online game services are provided.

Most online games are played using a number of game items that allow you to perform special functions within the game. Game items are not real, they exist only in virtual space, but those that many users want to own or are hard to acquire have high asset value.

As a result, there have been cases of illegally using games to obtain game items with high asset value.

One of them is playing a game using a robot program (also called an illegal program or 'BOT').

The robot program can be created by modifying / modifying the game client.According to the programmed contents, the robot program can be disguised as a user to acquire game items by continuously confronting the NPC (Non Player Character) in the game. You play the game abnormally.

In addition to these examples, as the value of in-game goods increases, cases of illegal online game use continue to diversify.

As a result, users who normally use the game are unreasonably deprived of the opportunity to obtain good game items in the game and interfere with the progress of the game, which causes various damages. It can be a major cause of complaints.

Currently, investigating abnormal game usage is performed by a method in which an administrator directly examines a behavior of a suspected character in the game.

However, it is not easy for an administrator to monitor a large number of character's behaviors in-game, and it is a burden in terms of time and money because a large number of people are required to monitor bad users.

Accordingly, the present invention has been made to solve the above problems, typifies the game use pattern that appears when using the game abnormally, and analyzes the game log information of each user to find such a game use pattern, the bad user By automating the detection process of, the purpose of the monitoring process for the bad user can be made more efficiently.

In order to achieve the above object, a bad user monitoring system for an online game service according to the present invention, a game that informs each user of the game use status in connection with a specific online game service provided by the online game system through a communication network A log information collector for collecting log information and storing the log information in a log information database; A log information analysis unit for examining whether there is a user who satisfies a preset bad user determination condition by periodically accessing and analyzing game log information stored in the log information database; An analysis result management unit for managing details of each user satisfying the bad user discrimination condition according to the search result of the log information analysis unit; And a bad user sorting unit for selecting a bad user according to a predetermined sorting criterion based on the details managed by the analysis result managing unit.

One or more bad user determination conditions may be set, and a predetermined penalty score may be set in correspondence with each bad user determination condition.

At this time, the analysis result management unit may manage the penalty score for each user by accumulating the penalty score set corresponding to the bad user determination condition to the corresponding user according to the investigation result of the log information analysis unit.

The bad user screening unit may be configured to select a user as a bad user when the cumulative penalty score of a user is equal to or greater than a predetermined penalty reference value.

The selection criteria in the bad user selection unit may be set to a plurality of having different ranges, and the bad user selection unit may be configured to classify the bad users corresponding to each selection criteria.

The bad user determination condition may be configured to include the user's personal information, wherein the log information analyzer may be configured to access the account information database of the online game system to check the user's personal information.

The bad user monitoring system for the online game service according to the present invention may further include a report processing unit for generating a report by processing the information about the bad user selected by the bad user selection unit in a predetermined format.

On the other hand, the bad user monitoring method for an online game service according to the present invention is a method for providing an online game service through a communication network and the online game system for managing the game log information related to the online game service to monitor the bad user As for

Periodically analyzing the game log information to examine whether there is a user who satisfies a predetermined bad user determination condition; Managing the penalty score for each user in such a manner as to accumulate the penalty score set corresponding to the defective user discrimination condition to the user who has satisfied the failure user discrimination condition according to the survey result; Selecting a bad user according to a predetermined screening criterion based on a cumulative penalty score of each user; And generating a report by processing the information about the selected bad user in a predetermined format.

At least one bad user determination condition is set and a penalty score is set corresponding to each bad user determination condition.

The selection criteria may be set in plural numbers having different ranges, and the process of selecting the defective users may be configured to classify the defective users corresponding to each selection criteria.

The present invention sets various bad user discrimination conditions so as to find out various game use patterns appearing when using the game abnormally, and periodically analyzes game log information of each user and uses the online game service abnormally and illegally. Detect them.

Even if a new abnormal game usage method appears, it is easy to adapt to changes in the abnormal game usage situation by adding a bad user discrimination condition to find a corresponding game use pattern or modifying an existing bad user discrimination condition. Easy automation of monitoring tasks.

In addition, if the criteria for selecting a bad user are differentiated according to the abnormally used form of the game, appropriateness and rationality can be applied to the sanctions applied to the abnormally used user.

As the monitoring work of the rogue user can be handled by an automated procedure, the rogue user can be monitored and detected quickly and accurately, and the work efficiency can be improved by reducing the human and material costs.

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

Referring to FIG. 1, the online game system 15 is connected to each user computer 11 through various communication networks 13 such as a wired internet network, a wireless internet network, and a mobile communication network to provide an online game service.

The online game system 15 may provide various types of online game services. For example, the online game system 15 may be a game of a Massively Multi-player Online Role Playing Game (MMORPG) type, in which multiple users may simultaneously participate in multiple times. .

The online game system 15 may be configured in various ways according to the type, content, and nature of the online game service.

For example, a game server 15-1 for playing an online game with each user, an account information database 15-2 for storing and maintaining account information for each user, and various kinds of information related to an online game service. In order to use the online game service, a web server 15-3, which is provided on the web and allows each user to enter information necessary for membership and to join as a member who can use the online game service. When a special computer program is to be installed in the user computer, an update server 15-4 for maintaining the latest computer program may be included.

Generally, the personal information of the user is stored and maintained in relation to the account opened by each user in the account information database 15-2, and what information is kept in the account information database 15-2 is variously configured as necessary. Can be.

Examples of account information maintained through the account information database 15-2 include the name, address, telephone number, e-mail address of each user, character information to express themselves in the game, nickname to display themselves in the game, A game level of the user, a list of game items owned by the user, and the like.

The user computer used by each user to play online games is not only a personal computer (PC) such as a desktop computer or a notebook computer, but also a mobile communication terminal such as a mobile phone or a personal digital assistant (PDA). It can be any computer device that has the capability to use an online game service.

The user computer 11 is provided with a computer program that allows the user to use an online game service.

Such a computer program may be a web browser or a video player generally installed in the user computer 11 depending on how the online game service is performed. The computer program may be specially manufactured on the online game system 15 to use the online game service. It may also be a distributed computer program (hereinafter referred to as a game client).

The game client may be downloaded and installed through the communication network 13 and maintained at the latest version, and should be performed on the user side such as displaying of game related announcements, processing a game screen, processing sound effects, and providing various user interfaces for the game. It plays various roles.

The game client basically plays a role of playing an online game while communicating with the game server 15-1, and the role sharing between the game client and the game server 15-1 may be variously configured as necessary.

On the other hand, the online game system 15 monitors the bad user who uses the game abnormally in conjunction with the bad user monitoring system 20 (hereinafter, the bad user monitoring system) for the online game service according to the present invention.

The log information collecting unit 21 collects game log information of each user and stores it in the log information database 21-1 in relation to the online game service provided by the online game system 15.

Game log information refers to information that allows each user to grasp various situations using the online game.

For example, game connection information of each user, game connection termination information, location information of each user character traveling in a game map implemented in a virtual space, and the like. That is, the game log information is information for identifying what event occurred in the game with respect to each user character.

The type and content of the game log information to be collected by the log information collecting unit 21 and the data structure of the game log information to be stored in the log information database 21-1 may be variously set as necessary.

In particular, the game log information collected by the log information collecting unit 21 includes those for determining whether or not the game use behavior of each user satisfies a bad user discrimination condition in relation to the present invention.

The log information analyzer 22 periodically accesses and analyzes game log information stored in the log information database 21-1 to check whether there is a user who satisfies a predetermined bad user determination condition.

Here, the 'cycle' may be arbitrarily set as needed, which means that it is time for the user to examine the game usage situation.

Thus, 'period' may be set to a fixed time interval (eg 1 week), but should be understood to mean that the cycle is repeated, such as being set to have an irregular time interval or directed by an administrator.

The bad user discrimination condition refers to a condition that enables each user to grasp an abnormal game use situation based on game log information.

An example of using a game abnormally is to illegally play a game through a robot program.

The robot program is installed and operated by a user computer, and is produced by modifying or modifying a game client.

Robot programs are used to accomplish illegal purposes, such as to obtain in-game goods with high asset value and sell them to others for cash, so they can focus on specific NPCs that can earn expensive game items in the game. To play the game item, and to play the game online according to the programmed contents.

In this way, when using the robot program illegally or illegally using the game by setting up an office (workshop) outside the country and illegally using the game, various types of games that are difficult to occur in a normal game environment The play pattern will appear.

The bad user discrimination condition refers to a condition that can determine such abnormal game play pattern using game log information.

Since the abnormal game use pattern can continuously change, the bad user discrimination condition can be updated to discriminate newly emerging abnormal game play patterns.

The bad user determination condition may be configured by combining one or more kinds of information that can be grasped using game log information such as whether a specific event occurs, a time of occurrence of a specific event, and the number of times a specific event occurs during a certain period of time.

For example, whether or not a particular event occurred, or whether a particular event occurred more than five times a week.

Since the bad user discrimination condition is for detecting various abnormal game use situations, one or more can be set.

In addition, each bad user determination condition may include one condition or may include a plurality of conditions.

As an example to help understand the description, the online game is configured such that each user character freely moves the game map implemented in the virtual space and plays a role assigned to him, from 'position A' to 'position B' It is assumed that moving to is prohibited.

The bad user determination condition may then be set whether or not there is a movement from 'position A' to 'position B'.

At this time, the log information collecting unit 21 collects the movement information of each user character, and the log information analyzing unit 22 is based on the movement information of the user character among the game log information stored in the log information database 21-1. Examine the log information to see if any user character has moved from 'position A' to 'position B'.

If there is a user character that has moved from 'position A' to 'position B', the user can be regarded as satisfying the bad user discrimination condition.

The log information analyzing unit 22 may find a user who satisfies each bad user discrimination condition based on the game log information, or a method of setting the bad user discrimination condition.

For example, the bad user determination condition may be included in the code information of the software used to perform the role of the log information analyzer 22, or the software used to perform the role of the log information analyzer 22 after the data is written in the form of a table. It may be configured to refer to that table.

Up to now, the embodiment in which the bad user determination condition is configured by using game log information stored and maintained in the log information database 21-1 has been described, but the bad user determination condition is stored in the account information database 15-2. It may be configured using the personal information of each user maintained.

For example, whether or not each game item is owned by each user may be a criterion for determining a bad user.

In the above case, the bad user determination condition should be configured to include both 'if there is a move from position A to position B' and 'if the game item X was owned when attempting to move to position B'. Can be.

Then, the log information analyzer 22 determines that only the user character who has moved from the position A to the position B while not owning the 'game item X' satisfies the corresponding defective user discrimination condition.

The analysis result management unit 23 manages the details of each user satisfying the bad user determination condition according to the investigation result of the log information analysis unit 22.

The details that each user satisfies the bad user discrimination condition are used as basic data for finally selecting the bad user.

The defective user selection unit 24 performs a role of selecting a defective user based on a predetermined selection criteria based on the details managed by the analysis result management unit 23.

The details managed by the analysis result management unit 23 and how the bad user selection unit 24 selects the bad users based on the details information may be configured in various ways as necessary.

For example, if a user satisfies the bad user determination condition at least once, the user may be selected as a bad user.

As another example, a user who satisfies a predetermined number of defective user determination conditions, for example, three times may be selected as a bad user.

However, if the user is selected as a bad user, sanctions may be taken, such as the user's game account may be temporarily or permanently closed. Therefore, whether or not the user is selected as a bad user has a very important effect on each user.

Therefore, there is a need for a method that can select rogue users as fairly and reasonably as possible, taking into account the risks and importance of abnormally using the game.

As one embodiment for this purpose, the penalty score may be differentially set according to the degree of risk or importance of abnormal game play to be detected by the bad user discrimination condition corresponding to each bad user discrimination condition.

That is, as in the example shown in FIG. 2A, the penalty score may be set differently in response to each bad user discrimination condition.

In this embodiment, the analysis result management unit 23 accumulates penalty points set corresponding to the bad user discrimination conditions to users who satisfy certain bad user discrimination conditions according to the investigation result of the log information analysis unit 22. You can manage the penalty score for each user.

Referring to FIG. 3, if there is a user who satisfies any bad user determination condition #k as a result of the log information analysis unit 22 (S31), the bad user is present in the current penalty score of the user. The penalty score for each user is managed in such a manner that the penalty score set corresponding to the determination condition #k is added up and accumulated (S32).

The bad user sorting unit 24 selects a user as a bad user when the cumulative penalty score of a user is equal to or greater than a preset penalty reference value.

Referring to FIG. 4, the poor user screening unit 24 examines the cumulative penalty score of each user managed by the analysis result manager 23, and if the cumulative penalty score of any user is equal to or greater than a predetermined penalty reference value (S41), The user is selected as a bad user (S42).

At this time, the selection criterion used by the poor user sorting unit 24 to sort the bad users is whether the accumulated penalty score of any user is equal to or greater than the penalty reference value.

Penalty scores set in response to each bad user discrimination condition should be understood as representing the degree rather than the meaning of a simple number. That is, the penalty score may be processed in various ways in addition to dividing it into 10 points, 20 points, 30 points, and the like.

For example, as illustrated in FIG. 2B, the punishment score set in response to each bad user determination condition may be set in the form of 1, 2, 3, or the like according to the degree of risk or importance.

In this case, the analysis result manager 23 may be configured to manage the cumulative penalty score of each user by converting the actual penalty score into a value obtained by multiplying the number of each step by 10, and the like.

That is, if a user satisfies the bad user discrimination condition of the third step, it can be converted into a penalty score of 30 points and accumulated.

In addition, the analysis result management unit 23 may manage not only the converted cumulative penalty score but also the step information of the defective user determination condition satisfied by each user, and this step information is then performed by the bad user selection unit 24 to identify the bad user. It can be used as another basis for screening.

On the other hand, the selection criteria for selecting the bad user by the bad user screening unit 24 may be divided into a plurality of sets having a different range, in this case, the bad user screening unit 24 is a bad user corresponding to each screening criteria Can be separated by selection.

When the bad users can be divided into various levels, the sanctions can be imposed while gradually increasing the strength corresponding to each level, and an effect of warning the user who abnormally uses the game can be seen.

Each selection criterion can be configured in various ways as needed.

5A is an example in which the screening criteria are classified by simply dividing the cumulative penalty score into several sections having different ranges. When the cumulative penalty score is 60 to 79, the cumulative penalty score is 80 to 89, and the cumulative penalty score is 80. Is divided into three sections, including more than 90 points.

In this example, the bad user screening unit 24 will not screen a bad user if the cumulative penalty score of any user is 49, if it is 63, it will be a bad user belonging to the screening criterion # 3. If the user is a bad user, a score of 92 will be selected as a bad user who belongs to the selection criterion # 1.

FIG. 5B classifies the selection criteria by considering not only the cumulative penalty score but also the step information of the defective user discrimination criteria satisfied by the user as an example of implementing the penalty score as shown in FIG. 2B.

That is, if the cumulative penalty score is 60-79 points, if the cumulative penalty score is 80-89 points, the cumulative penalty score is 80-89 points and at least one satisfactory level of bad user discrimination criteria corresponding to at least three levels is satisfied. In this case, the cumulative penalty score is divided into four sections.

As described above, when the bad user sorting unit 24 sorts the bad users according to each sorting criterion, the administrator can apply different sanctions depending on which sorting criteria each bad user is sorted according to.

For example, in the case of FIG. 5B, a sanction for delivering a warning message to a bad user corresponding to the selection criterion # 3 or # 4; a sanction for limiting the account to a bad user corresponding to the selection criterion # 2 for a certain period of time; The bad user corresponding to can be sanctioned to permanently limit the account.

Referring to FIG. 6, the bad user monitoring system 20 of each embodiment described above processes the information about a bad user selected by the bad user sorting unit 24 into a predetermined format to generate a report. It may be configured to include more.

The report generated by the report processing unit 25 may include various information about the bad user, such as account identification information, character identification information, cumulative penalty score, game level, IP address, and selection criteria information for the bad user. have.

The format and content of the report generated by the report processing unit 25 may be variously configured as necessary, and may be configured to interface with an administrator through various methods such as web, email, and report management program.

7, an embodiment of a bad user monitoring method for an online game service according to the present invention will be described.

First, the online game system periodically analyzes game log information managed in relation to the online game service to check whether there is a user who satisfies a predetermined bad user determination condition (S71).

The game log information refers to information that allows each user to grasp various situations using the online game, and the type and content of the game log information may be variously configured as necessary.

In particular, the game log information includes those that allow to determine whether the game use behavior of each user satisfies the bad user discrimination conditions.

'Cycle' can be arbitrarily set as needed, which means that it is time for the user to examine the game usage situation.

Thus, 'period' may be set to a fixed time interval (eg 1 week), but should be understood to mean that the cycle is repeated, such as being set to have an irregular time interval or directed by an administrator.

At least one bad user discrimination condition is set in step S71, and a penalty score is set corresponding to each bad user discrimination condition.

The bad user discrimination condition refers to a condition that enables each user to grasp abnormal game use status based on game log information.

Each bad user determination condition may be made of one condition or a plurality of conditions. In the case of plural conditions, all the conditions must be satisfied.

Since the abnormal game use pattern can continuously change, the bad user discrimination condition can be updated to identify a new and abnormal game play pattern.

The bad user determination condition may be configured using not only the game log information but also the personal information of each user managed by the online game system.

The online game system manages the penalty score for each user in such a manner as to accumulate the penalty score set corresponding to the defective user discrimination condition to the user who satisfies the defective user discrimination condition according to the survey result of step S71 (S72).

In this case, the penalty score set in response to each bad user discrimination condition should be understood as representing a degree, not a simple number.

That is, the penalty score may be simply set to 10 points, 20 points, 30 points, and the like as in the example shown in FIG. 2A, and the abnormal game play to be identified by each bad user determination condition as shown in FIG. 2B. It may be set in the form of stage 1, stage 2, stage 3, etc. according to the degree of risk or importance.

In the latter case, step S72 may be configured to manage the cumulative penalty score of each user through various methods such as accumulating the actual penalty score by multiplying the number of each step by 10. In addition, step S72 can manage not only the cumulative penalty scores converted, but also the step information of the bad user determination condition satisfied by each user, and this step information can be used as another basic data for selecting bad users in step S73. have.

The online game system selects the bad user according to a predetermined selection criterion based on the cumulative penalty score of each user managed in step S72 (S73).

Depending on the selection criteria in step S73 to select a bad user may be configured in various ways as needed.

One example is to select a user as a bad user when the cumulative penalty score of a user is equal to or greater than a predetermined penalty reference value. At this time, the screening criteria used for screening bad users is whether the cumulative penalty score of any user is greater than or equal to the penalty threshold.

On the other hand, the screening criteria for screening bad users in step S73 may be divided into a plurality of sets having a different range, in this case, can be screened by classifying the bad users corresponding to each screening criteria.

Each selection criterion can be configured in various ways as needed.

That is, as in the example described with reference to FIG. 5A, the selection criteria may be divided by simply dividing the cumulative penalty score into several sections having different ranges. In addition, as shown in the example described with reference to FIG. 5B, the selection criteria may be classified by considering not only the cumulative penalty score but also the step information of the defective user discrimination criteria satisfied by the corresponding user.

As described above, when the bad users are classified according to various selection criteria, the administrator can apply differential sanctions depending on which selection criteria each bad user is selected according to.

When the bad user is selected in step S73, the online game system processes the information about the selected bad user into a predetermined format to generate a report (S74).

The report generated through step S74 may include various pieces of information about the bad user, such as account identification information, character identification information, cumulative penalty score, game level, last access IP address, and selection criteria information.

The main purpose of the report generated through step S74 is to allow the administrator to know all the information related to the bad user, the format and content can be variously configured as necessary.

The report can be configured to interface with the administrator through a variety of methods, including web, email, and report management programs.

The administrator can refer to the report generated through step S74, and deliver a warning message to each rogue user, or take various sanctions such as temporary account restriction or permanent account restriction.

The above-described embodiments are intended to help the understanding of the present invention, and the present invention is not limited to the above-described embodiments and can be variously modified and implemented by those skilled in the art without departing from the spirit of the present invention. to be.

1 is an embodiment of a bad user monitoring system for an online game service according to the present invention,

2 is an example of setting a penalty score corresponding to each bad user determination condition;

3 is an example of a process of managing a penalty score for each user;

4 is an example of a process of selecting a bad user according to the penalty score for each user,

5 is an example of a method of setting the selection criteria of a poor user,

6 is another embodiment of a bad user monitoring system for an online game service according to the present invention;

7 is an embodiment of a bad user monitoring method for an online game service according to the present invention.

DESCRIPTION OF THE REFERENCE NUMERALS

11: user computer 13: network

15: Online Game System 15-1: Game Server

15-2: Account Information Database 15-3: Web Server

15-4: Update Server 20: Bad User Monitoring System

21: Log information collecting unit 21-1: Log information database

22: log information analysis unit 23: analysis result management unit

24: bad user screening unit 25: report processing unit

Claims (8)

A log information collector configured to collect game log information indicating a game usage status of each user in relation to a specific online game service provided by an online game system through a communication network, and to store it in a log information database; A log information analysis unit for examining whether there is a user who satisfies a preset bad user determination condition by periodically accessing and analyzing game log information stored in the log information database; An analysis result management unit for managing details of each user satisfying the bad user discrimination condition according to the search result of the log information analysis unit; And The bad user monitoring system for an online game service comprising a bad user selection unit for selecting a bad user according to a predetermined screening criteria based on the details managed by the analysis result management unit. The method of claim 1, At least one bad user determination condition is set, A bad user monitoring system for an online game service, characterized in that a predetermined penalty score is set corresponding to each bad user discrimination condition. The method of claim 2, The analysis result management unit manages the penalty score for each user by accumulating the penalty score set in correspondence with the bad user discrimination condition according to the investigation result of the log information analysis unit, The bad user screening unit is a bad user monitoring system for an online game service, characterized in that configured to screen the user as a bad user when the cumulative penalty score of any user is greater than a predetermined penalty reference value. The method of claim 1, The selection criteria is set to a plurality of having a different range, The bad user sorting unit is a bad user monitoring system for an online game service, characterized in that configured to sort and classify bad users corresponding to each selection criteria. The method of claim 1, The bad user determination condition is configured to include the user's personal information, The log information analysis unit is configured to access the account information database of the online game system to check the user's personal information, bad user monitoring system for an online game service. The method according to any one of claims 1 to 5, And a report processing unit configured to generate a report by processing the information about the bad user selected by the bad user selection unit in a predetermined format. In the bad user monitoring method for an online game service for providing an online game service through a communication network and the online game system that manages game log information related to the online game service to monitor bad users, Periodically analyzing the game log information to examine whether there is a user who satisfies a predetermined bad user determination condition (at least one bad user determination condition is set, and a penalty score is set corresponding to each bad user determination condition). ); Managing the penalty score for each user in such a manner as to accumulate the penalty score set corresponding to the defective user discrimination condition to the user who has satisfied the failure user discrimination condition according to the survey result; Selecting a bad user according to a predetermined screening criterion based on a cumulative penalty score of each user; And And processing the information on the selected bad user into a predetermined format to generate a report. The method of claim 7, wherein The selection criteria is set to a plurality of having a different range, The process of selecting the bad user is a bad user monitoring method for an online game service, characterized in that configured to select and classify bad users corresponding to each selection criteria.

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