JP2010009180A - System for supporting disclosure of vicious broker aiding and abetting illegal entrant, and its method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To newly disclose a vicious broker aiding and abetting an illegal entrant by effectively using information from a disclosed illegal entrant. <P>SOLUTION: A large number of pieces of testimony each having low reliability are accumulated in a database, and are arranged in each person thought that one is the same person. About a portion wherein information cannot be uniquely predetermined, by predicting a value thought that it is correct from occurrence frequency or related information, reliable information about the vicious broker is output. A server 2 inside this aider and abettor disclosure support system includes: an aider and abettor information table 3 for storing the information about the aider and abettor; and an aider and abettor blacklist 4 storing a blacklist related to the vicious broker. Thereby, the server 2 receives a request for registration, reference, update, or disclosure registration to the database from a client terminal 1. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a system and method for supporting the detection of a malicious broker who assists illegal immigrants as a measure against foreigners such as illegal employment.

With the progress of internationalization in recent years, the number of foreigners entering Japan is increasing year by year. In connection with this, for the purpose of illegal employment in Japan for reasons such as wage disparities, there are many cases of illegal entry by means of smuggling or the use of fake and altered passports.
The procedures for deportation of illegal immigrants are carried out by starting a fact-finding process based mainly on information from the general public, and then detecting, examining, and repatriating foreigners who have been found illegal.
As an example of the above-mentioned report destinations made by general residents, there is the Immigration Bureau homepage. There, the information of the person who seems to be an illegal resident is input into the input form, and it is a system that can report the target person.

  For example, in Japanese Patent Laid-Open No. 2006-085269 (see Patent Document 1), a foreigner integrated management system and a foreigner integrated management method capable of supporting a removal compulsory procedure until report information is easily organized and detected. Has been proposed. This includes a foreigner information table for storing foreigner information, and a foreigner information table for storing notification information including information on the number of reported foreigners and the number of notifications. When a foreigner is managed and the name, sex, etc. of the newly reported foreigner is compared with the name, gender, etc. of the foreigner stored in the foreigner information table, the name, gender, etc. An internal coefficient obtained by adding the internal coefficient set to is calculated and stored in the foreigner information table, and notification information whose internal coefficient exceeds a predetermined value is transmitted to the regional immigration office.

JP 2006-085269 A

However, it is not limited to the above-mentioned means, and it can be said that the response has been passive if it starts moving toward detection after receiving any report. It is difficult to eradicate. The reason for this is that while illegal detection is underway, new illegal immigrants are born. In order to eradicate illegal immigrants, in addition to responding individually to them, it is necessary to detect the malicious brokers that produce them.
Obviously, in order to detect a broker, the information required to detect it is indispensable. However, with regard to the broker, almost no information can be obtained by means such as the above-mentioned notification from the general public. .

(the purpose)
An object of the present invention is to solve such problems, present information on malicious brokers assisting illegal immigrants, and provide a system that supports the detection of malicious brokers assisting illegal immigrants that assist in their detection and It is to provide such a method.

One source of information about malicious brokers is the illegal immigrants who have already been detected. By obtaining testimony about those who helped their torts from them, they can be used to detect the helpers. However, there is a problem that these testimonies are only a reference level because there is no guarantee of reliability because there is a possibility that the witnesses are misrecognized or the witnesses are false testimony. .
Therefore, in the present invention, after accumulating a large number of testimonies that are individually unreliable in the database, they are collected for each person who seems to be the same person, and the frequency of occurrence of the part for which information cannot be uniquely specified By predicting the value that would be correct from the related information, it outputs as reliable information about the malicious broker.

According to the present invention, it is possible to promote the detection of illegal immigration brokers that have been difficult to detect due to lack of information until now, and therefore, there are no illegal immigrants created by them, resulting in illegal immigration Will lead to a significant decrease.
In addition, in the current passive activity of “starting to detect after receiving some kind of notification”, “use new information by effectively using information from illegally immigrated immigrants” Can be added.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a diagram showing an overall image constituting this system.
As shown in FIG. 1, the present embodiment includes a client terminal 1 for referring to and updating assistant information, and a server 2 including a database for registering input assistant information.
The server 2 in the assistant detection support system includes an assistant information table 3 for storing assistant information, and an assistant blacklist 4 for storing a blacklist regarding a malicious broker.

FIG. 2 is a diagram showing the configuration of the assistant information table.
In this example, the blacklist number of the assistant, the name of the assistant, the sex of the assistant, the nationality of the assistant, the age of the assistant, the contents of assistance such as document counterfeiting and job placement, the place of contact at the county or metropolitan ward level, Contact time, nationality, place of origin such as the name of the country or province of the country, place of entry such as the name of a port or airport, date of entry, name of an entry flight / ship, name of company such as company name, restaurant or construction industry, etc. Work type, work address, and work phone number are registered.

FIG. 3 is a diagram showing a configuration of the assistant blacklist.
In this example, the blacklist number of the helper, detection, name, gender, nationality, age, details of assistance, area of activity, time of activity, and information accuracy are registered.
There are two types of detection: undocumented and already detected, and assistance includes document preparation, offshore transfer, job placement, illegal arrival to the country, etc. The information accuracy has ranks of 1 to 4.

  As described above, the present invention mainly includes four functions. The first is a function of registering the information of the assistant obtained from the illegal entrant into the database of the server 2 from the client terminal 1. The second function is to create the assistant blacklist 4 based on the stored assistant information. The third function is to refer to the black list 4 of the server 2 from the client terminal 1. The fourth function is to update the black list 4 to the effect that the target person has been detected when a person registered in the black list 4 is detected.

FIG. 4 is an operation flowchart of the assistant information registration process.
FIG. 4 shows a flow of processing of a function for registering information on a helper obtained from an illegal entrant into a database of a server from a client terminal.
First, in the assistant information registration request reception process (step 410), the client terminal 1 requests the server 2 to register assistant information. The client terminal 1 has an interface for inputting assistant information, and the user registers assistant information using the interface.

FIG. 8 is a diagram illustrating an example of an interface.
In FIG. 8, an input area for assistant information and information provider information is displayed on the screen, and name, nationality, age, and other information are input as assistant information. In addition, as information provider information, contact time (date), contact location, nationality, hometown, and other information are input. Finally, registration button 1 is clicked to complete registration. If you do not register due to errors or other reasons, click the back button to exit.

Returning to FIG. 4, the user performs input processing of contents to be registered in each item of the interface screen shown in FIG. 8, and issues a helper information registration request to the server 2 by pressing the registration button 1 </ b> A.
The similar person search process (step 420) is a process of searching for a record indicating the same person from records already registered in the helper information table 3 with respect to the helper information sent from the client terminal 1. Whether or not the same person is pointed out is determined by the record matching rate. In order to obtain the match rate, different internal coefficients are individually set for each item such as the name and sex of the assistant included in the assistant information table 3. The internal coefficient to be set is a low value for items that are likely to be false, such as the name of the assistant, or that the information provider is likely to be wrong. For items that are considered to have few errors in information, and items that can be important in detecting a helper such as the place of contact and timing of contact with the helper, a high value is set.

As described above, the items for which values are set are compared, and the internal coefficients set individually are added when they match. If the sum of the internal coefficients added at the stage where all items have been examined is greater than or equal to a certain value, it is determined that those records indicate the same person.
The black list number setting process (step 430) is a process for obtaining a value to be set in the “assistant information black list number” item of the assistant information table 3. The value to be set is determined by the result of the similar person search (step 420). If a similar person is found, the same value as that of the found similar person is set. If no similar person is found, a number not yet used is set in the helper information table 3.

  The assistant information information registration process (step 440) is a process of registering the contents sent from the client terminal 1 and the black list number obtained in the black list number setting (step 430) in the assistant information information table 3. is there.

FIG. 5 is an operation flowchart of the assistant blacklist registration process.
FIG. 5 shows a processing flow of a function for creating the assistant blacklist 4 based on the stored assistant information.
The similar person extraction process (step 510) is a process for searching for records in which blacklist numbers having the same value are set in the assistant information table 3.
The registered content setting process (step 520) is a process for obtaining the content to be registered in the assistant blacklist 4 from the records in which the blacklist numbers having the same value in the assistant information table 3 are set. The method for determining the contents to be registered differs for each item, and is determined by determination based on a single item (step 521) or determination based on a plurality of items (step 522).

  The determination based on a single item (step 521) is a determination method based on only the value of the same item in order to set the content of one item. If a registered value is the same for all items, that value is registered. If they are not all the same, the number is counted for each registered value, the one with the largest number of registrations is determined to be positive, and is registered in the black list 4. For example, in FIG. 2, three records with the assistant blacklist number “20070000001” indicate the same person, but items such as “name” and “age” do not match. The result of collecting these three records is a record whose assistant blacklist number is “20070000001” shown in FIG.

In FIG. 2, the most frequent values are entered in items such as “name” and “age” that were not identical.
The determination by a plurality of items (step 522) is a determination method based on the values of a plurality of items in order to set the contents of one item. For example, for 4 records with blacklist number “200700000004”, “contact place” is registered with two values of “Osaka City” and “Tokyo”, and judgment is made with only one item. Then, it cannot be determined uniquely.
However, in the case of this example, since the item of the assister blacklist 4 to be requested is an item for which freshness is required for the information “activity area”, the “contact time” in the assister information table 3 is also subject to determination. Add to. Therefore, the “contact place” of the record having a new value is prioritized by the “contact time” item, and “Osaka city” is set in the “activity place” of the assistant blacklist 4.

  The information accuracy setting process (step 530) is a process for calculating a value that falls within the “information accuracy” item of the assistant blacklist 4. The value includes the number of records in which the same value is set in the “black list number” of the assistant information table 3, and the higher the value set in this item, the more information registered in the black list 4 is. Indicates that the information is based on testimony from many suspects and is highly reliable.

The black list registration process (step 540) is a process for registering the contents set in the flow up to now (steps 510 to 530) in the assistant black list 4.
Note that the “Assistant Black List 4” is set to “Detected” or “Detected” to indicate whether or not the target person has been detected. "Detection" is registered.

FIG. 6 is a flowchart showing a processing flow of a function of referring to a server blacklist from a client terminal.
In the black list reference request processing (step 610), processing for requesting the server 2 to refer to the black list 4 from the client terminal 1 is performed. The client terminal 1 has an interface for searching the black list 4 under various conditions, and the user refers to the black list using the interface.

FIG. 9 is a diagram illustrating a blacklist search interface.
In the example of the interface screen, as shown in FIG. 9, the user inputs the search conditions such as each item on the interface screen (name, nationality, activity period, activity location, detection, information accuracy, assistance content category, etc.) By pressing the button 1B, a blacklist reference request is issued to the server 2.
When setting the search condition, by setting a value greater than or equal to a certain value in the accuracy information item 2B, it is possible to extract “reliable information about a malicious broker” that is the subject of the present invention. it can.

Returning to FIG. 6, in the black list search process (step 620), the server 2 that receives the request from the client terminal 1 performs a process of searching the requested content from the assistant black list 4.
In the request result return process (step 630), a process of returning the searched contents as a result from the server 2 to the client terminal 1 is performed.
In the result output process (step 640), the client terminal 1 performs a process of displaying the content returned from the server 2 on the screen.

FIG. 7 is a flowchart showing the processing of the function of updating the black list to the effect that the target person has been detected when a person registered in the black list is detected.
In the detection registration request process (step 710), the client terminal 1 performs a process of requesting the server 2 to update the black list 4. The client terminal 1 has an interface for displaying the searched black list, and the interface also has a function of updating the detection information.
In the blacklist update process (step 720), the server 2 that has received the registration registration request from the client terminal 1 performs a process of updating the blacklist 4.

FIG. 10 is a diagram showing a blacklist reference / detection registration interface screen.
The interface screen for outputting the request result by referring to the black list 4 according to each step of FIG. 6 or performing the update process of the black list 4 according to each step of FIG. Is to input information. In this example, there are items such as number, information accuracy, detection or non-detection, name, nationality, age, activity period, activity place, and so on. The user issues a registration registration request to the server 2 by pressing the registration registration button 1C.
In this manner, the user registers information by inputting information into each item on the interface screen.

  The present invention may be used by immigration officers to detect malicious brokers that assist illegal entrants.

It is a block diagram which shows the image of a support system about the detection of the malicious broker who assists the illegal immigrant who concerns on one Embodiment of this invention. It is a figure which shows the structure of the assistance person information table in FIG. It is a figure which shows the structure of the assistant blacklist in FIG. It is a flowchart of the assistant information registration process in FIG. It is a flowchart of the assistant blacklist registration process in FIG. It is a flowchart of the assistant blacklist reference process in FIG. It is a flowchart of the assistant blacklist update process in FIG. It is an image figure of the assistant information registration interface in FIG. It is an image figure of the assistant blacklist search interface in FIG. It is an image figure of the assistant blacklist reference and detection registration interface in FIG.

Explanation of symbols

1 Client terminal 2 Server 3 Helper information table 4 Helper blacklist 1A Registration button 1B Search button 1C Detection registration button 2B Information accuracy item

Claims (5)

An assistant information table for storing information of the assistant, and an assistant black list for storing a black list regarding the malicious broker, and the assistant information table and the assistant according to an information provision and registration request from the user. A server that sequentially registers new information in the user blacklist,
A client terminal connected to the server via a network and requesting the server to register and update the assistant information of the assistant person information table or the assistant person black list, refer to the assistant person black list, and search Comprising
As for the contents of the assistant information table and the contents of the assistant black list, information on the same person is collected from information with low reliability, and statistics and predictions on ambiguous items are made to obtain highly reliable information. A support system that supports the detection of malicious brokers that help illegal entrants, characterized by being converted into Collecting multiple information of the same person from unreliable information, making predictions on statistics and ambiguous items, and transforming them into highly reliable information to detect malicious brokers who assist illegal entrants A support method for supporting,
When requesting registration of assistant information from the client terminal to the server, the user inputs the assistant information to each item on the interface screen, so that the registration request and assistant information from the client terminal to the server via the network are entered. Is output,
The server searches the assistant information sent from the client terminal for a record pointing to the same person from the records already registered in the assistant information table,
At that time, the server judges whether or not it points to the same person based on the record match rate,
In order to obtain the match rate, different internal coefficients are individually set for each item such as name and sex of the assistant included in the assistant information table,
At this time, the internal coefficient set by the server is set to a low value for items that are likely to be false by the assistant, such as the name of the assistant, or that the information provider is likely to be wrong. For items that seem to have few errors in the information on the person's hometown and work place, and items that can be important in detecting the assistant, such as the location and timing of contact with the assistant, set a high value. A support method that supports the detection of malicious brokers that help illegal illegitimate visitors. Collecting multiple information of the same person from unreliable information, making predictions on statistics and ambiguous items, and transforming them into highly reliable information to detect malicious brokers who assist illegal entrants A support method for supporting,
When the client terminal requests registration of the assistant blacklist from the client terminal, the user inputs the assistant person information to each item on the interface screen, so that the registration request and assistant from the client terminal to the server via the network are made. Information is output,
The server searches the assistant information table for the assistant information sent from the client terminal, and searches for records in which the black list number of the same value is set.
From the record in which the black list number of the same value in the assistant information table is set, the content to be registered in the assistant black list is obtained.
At that time, when the server determines the content by a single item, the registered value for a certain item is based on only the value of the same item in order to set the content of one item. If they are all the same, the values are registered. If they are not all the same, the number is counted for each registered value. Register,
When judging the contents of multiple items, the maliciousness of assisting illegal immigrants is characterized by being registered in the assistance blacklist based on the values of the multiple items in order to set the content of one item. A support method to help detect brokers. Collecting multiple information of the same person from unreliable information, making predictions on statistics and ambiguous items, and transforming them into highly reliable information to detect malicious brokers who assist illegal entrants A support method for supporting,
When the client terminal requests the server to refer to the assistant blacklist, the user inputs the assistant information in each item on the interface screen, and when setting the search condition, a certain value is set in the accuracy information item. By setting the above values, the reference request and the assistant information are output from the client terminal to the server via the network.
When the server receives a request from the client terminal, it performs a process of searching the requested content from the assistant blacklist,
The server returns the searched contents to the client terminal as a result,
The client terminal displays the contents returned from the server on a screen, and supports the detection of a malicious broker that assists illegal immigrants. Collecting multiple information of the same person from unreliable information, making predictions on statistics and ambiguous items, and transforming them into highly reliable information to detect malicious brokers who assist illegal entrants A support method for supporting,
When the client terminal requests the server to update the assistant blacklist, the user inputs the assistant information to each item on the interface screen, and the client terminal requests update and detection from the server via the network. Helper information for registration is output,
When the server receives the registration registration request from the client terminal, the server performs a process of updating the assistant blacklist,
The server refers to the updated assistant blacklist and outputs a request result to the client terminal. A method for supporting detection of a malicious broker assisting an illegal immigrant.

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