CN108363780A - A kind of regulation engine and method of anti money washing - Google Patents
A kind of regulation engine and method of anti money washing Download PDFInfo
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- CN108363780A CN108363780A CN201810140500.3A CN201810140500A CN108363780A CN 108363780 A CN108363780 A CN 108363780A CN 201810140500 A CN201810140500 A CN 201810140500A CN 108363780 A CN108363780 A CN 108363780A
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Abstract
The present invention relates to a kind of regulation engine of anti money washing and methods, the described method comprises the following steps：It is capable of the basic information element of automatic collection in collaboration customer collecting mechanism；The technical indicator that collaboration customer is acquired according to infrastructure elements structure；Collaboration customer meets the rule model of demand according to technical indicator structure, and comments with score value and threshold values；Data acquisition is carried out according to regulation engine.Its advantage is shown：The regulation engine and method of a kind of anti money washing of the present invention, according to the requirement of the People's Bank, each financial institution needs the self-defined anti money washing crawl model of itself, and model is carried out indexing management.The purpose of the present invention is reaching flexible configuration anti money washing by the configuration of flexible technical indicator, monitoring index configuration, monitoring index combination to capture model, reach the data that accurately crawl meets the suspicious model of financial institution.And it can realize being adjusted flexibly after later stage model is reheard.
Description
Technical field
It excavates and models the present invention relates to the anti money washing data analysis of the People's Bank's supervision, and to the inside of financial institution
Transaction is monitored by regulation engine modeling.
Background technology
With the development of economic globalization, science and technology plays vital effect in each field, has with criminal activity
The monetary affair of pass also becomes increasingly complicated because of the globalization with rapid changepl. never-ending changes and improvements and metal service of science and technology, utilizes high-tech
Means carry out international money-laundering and are becoming increasingly rampant, and develop towards systematization, specialization, intelligentized direction.Now, money laundering is violated
Crime has become international community faces one big public hazards, therefore, establishes anti money washing mechanism, and hit money laundering by technological means and violate
Crime is an important and pressing task in China's Financial work.
Regulation engine be it is a kind of according in rule include given filter condition, judge that can it match the real-time of the time of running
Condition carrys out the action engine of defined in executing rule, i.e. regulation engine can be regarded as a set of component software, it is responsible for answer
It is extracted with the business rule (service logic) in program, operational decision making is write using predefined module.It is that one kind is embedded in
Component in application program, its task is to currently submit to the data object of engine and load engine business rule into
Row test and comparison, activate those to meet the business rule under current data state, are patrolled according to the execution stated in business rule
Volume, trigger corresponding operation in application program.
However, engine rule in the prior art has the following defects and deficiency：
1. regulation engine in the prior art, cannot flexible configuration data crawl infrastructure elements, be not easy to business
Extension and system it is perfect.
2. regulation engine in the prior art cannot flexibly combine monitoring index.
3. regulation engine in the prior art, it is not possible to flexible configuration rule model.
Chinese patent literature, application number：CN201510857280.2, the applying date 20151130, patent name is：It is applied to
Anti money washing processing data processing system and method, disclose it is a kind of applied to anti money washing processing data processing system and side
Method, wherein the system comprises：Message processing module (MPM) converts message for being executed according to the Message processing mode of pre-configuration
To specify message format and the processing that is parsed to the message of anti money washing system feedback, wherein the message refer to wait for into
The message of row anti money washing processing, the anti money washing system is for carrying out anti money washing processing；Messaging interface, for according to
Message processing mode executes the processing that information receiving and transmitting is carried out by specified interactive interface and the anti money washing system；State confirmation
Module, for updating the message to the analysis result of the message of the anti money washing system feedback according to the message processing module (MPM)
Message processing state.
The method of the regulation engine of the anti money washing of above patent document can easily access different anti money washing systems,
Convenience and the property of can customize, the flexibility for improving anti money washing processing mode and anti money washing the processing knot of exploitation are provided simultaneously
The accuracy of fruit.But about a kind of requirement according to the People's Bank, each financial institution needs the self-defined anti money washing of itself
Model is captured, model is subjected to the technical solution of indexing management then without corresponding open.The purpose of the present invention is by flexible
Technical indicator configuration, monitoring index configuration, monitoring index combination reach flexible configuration anti money washing crawl model, reach accurate
Crawl meets the data of the suspicious model of financial institution.And it can realize being adjusted flexibly after later stage model is reheard.
In conclusion needing a kind of requirement according to the People's Bank, each financial institution needs the self-defined backwash of itself
Money captures model, and model is carried out indexing management, passes through the configuration of flexible technical indicator, monitoring index configuration, monitoring index
Combination reaches flexible configuration anti money washing crawl model, reaches the data that accurately crawl meets the suspicious model of financial institution.And
It can realize the regulation engine method being adjusted flexibly after later stage model is reheard.And at present also not about this regulation engine method
It appears in the newspapers.
Invention content
The purpose of the present invention is being directed to deficiency in the prior art, provides and want a kind of requirement according to the People's Bank, it is each
Financial institution needs the self-defined anti money washing crawl model of itself, and model is carried out indexing management.Referred to by flexible technology
Standard configuration is set, monitoring index configures, monitoring index combination reaches flexible configuration anti money washing crawl model, and it is full to reach accurately crawl
The data of the sufficient suspicious model of financial institution.And it can realize the regulation engine method being adjusted flexibly after later stage model is reheard.
It is another object of the present invention to：A kind of regulation engine of anti money washing is provided.
To achieve the above object, the technical solution adopted by the present invention is that：
A kind of regulation engine method of anti money washing, the described method comprises the following steps：
Step S1, it is capable of the basic information element of automatic collection in collaboration customer collecting mechanism；
Step S2, substep excavates transaction data：According to block trade and suspicious transaction feature, part wholesale and suspicious transaction
Data can be concentrated directly in initial data and be excavated, and it is big that error message equally directly excavates part after being corrected by applicant management section
Volume is merchandised and suspicious transaction data；
Step S3, data prediction；Data mining first has to pre-process data, configuration rule attribute, corrects wrong
Accidentally it is worth, removes repetition record and repetition values；
Step S4, collaboration customer builds configuration technology index according to infrastructure elements；
Step S5, collaboration customer meets the rule model of demand according to technical indicator structure；
Step S6, rule of combination model, and comment with score value and threshold values；
Step S7, data are captured：Data acquisition is carried out according to regulation engine；
Step S8, displaying and processing data.
As a kind of perferred technical scheme, following steps are specifically included in step S3：
Step S31, attribute filters：Analyze association attributes according to block trade and suspicious transaction feature, add some with it is anti-
The related attribute of money-laundering operation feature, removing existing and anti money washing service feature does not have the attribute of any relationship；
Step S32, data scrubbing：Data scrubbing process is peeled off by filling in value, smooth noise, identification or the deletion of missing
It puts and solves inconsistency to clear up data；
Step S33, data characterization：There are many interested attribute values in the database cannot be straight in anti money washing system
It picks up, needs to characterize target data.
As a kind of perferred technical scheme, following steps are specifically included in step S4：
Step S41, according to as defined in the People's Bank block trade feature carry out association attributes analysis, determine Property Name with
The representation of value；
Using algorithm：SetIsLarge；
Input：Attribute_list, candidate association attributes set；
Output：The value of attribute IsLarge；
Step S42, algorithm SetIsLarge is called.
As a kind of perferred technical scheme, specific call method includes the following steps in step S42：
Step S421, transaction data record is obtained from tables of data；
Step S422, the correlation attribute value of transaction record is obtained；
Step S423, the implementing result that the value of setting transaction data record islarge is algorithm SetIs-Large, wherein
The input parameter of algorithm SetIsLarge is the value obtained in step S422.
For above-mentioned second purpose of realization, the technical solution adopted by the present invention is：
A kind of regulation engine of anti money washing, the regulation engine include AML server-sides, AML database layers, AML web
End；The AML server-sides use springboot frames, built-in Tomcat；The AML database layers use JPA；It is described
AML web terminals use LayUI frames, and combine server-side json.
The invention has the advantages that：
1, the regulation engine and method of a kind of anti money washing of the invention, according to the requirement of the People's Bank, each financial institution
The self-defined anti money washing crawl model of itself is needed, model is subjected to indexing management.The purpose of the present invention is by flexible
Technical indicator configuration, monitoring index configuration, monitoring index combination reach flexible configuration anti money washing crawl model, reach accurate
Crawl meets the data of the suspicious model of financial institution.And it can realize being adjusted flexibly after later stage model is reheard；
2, AML regulation engines realize that client dynamic configuration is regular (amount of money, stroke count etc.), and system is according to the rule of user configuration
It then automatically generates sql and acquires out suspicious and wholesale data；
3, sorting algorithm accuracy rate is that the accuracy rate analyzed by association attributes is determined with integrality.If can completely carry
All association attributes for taking block trade and suspicious transaction, as long as to these attributes be arranged a threshold value as long as can to transaction data into
Row Accurate classification.This anti money washing system reaches 99% or more with algorithm using classifying step to the classification accuracy of transaction data.
4, can flexible configuration data crawl infrastructure elements, convenient for business extension and system it is perfect；It can be with
Flexible combination monitoring index；It can flexible configuration rule model.
Description of the drawings
Attached drawing 1 is a kind of specification engine method flow diagram of anti money washing of the present invention.
Attached drawing 2 is configuration rule attribute list schematic diagram.
Attached drawing 3 is configuration technology index schematic diagram.
Attached drawing 4 is structure rule model schematic diagram.
Attached drawing 5 is rule of combination model schematic.
Attached drawing 6 is crawl schematic diagram data.
Attached drawing 7 is displaying and processing schematic diagram data.
Specific implementation mode
It elaborates below in conjunction with the accompanying drawings to specific implementation mode provided by the invention.
Fig. 1 is please referred to, Fig. 1 is a kind of specification engine method flow diagram of anti money washing of the present invention.A kind of anti money washing
Regulation engine method, the described method comprises the following steps：
Step S1, it is capable of the basic information element of automatic collection in collaboration customer collecting mechanism.
Step S2, substep excavates transaction data：According to block trade and suspicious transaction feature, part wholesale and suspicious transaction
Data can be concentrated directly in initial data and be excavated, and it is big that error message equally directly excavates part after being corrected by applicant management section
Volume is merchandised and suspicious transaction data.
Step S3, data prediction；Data mining first has to pre-process data, configuration rule attribute (see Fig. 2),
Value is corrected mistake, repetition record and repetition values etc. are removed.
Step S31, attribute filters：Analyze association attributes according to block trade and suspicious transaction feature, add some with it is anti-
The related attribute of money-laundering operation feature, removing existing and anti money washing service feature does not have the attribute of any relationship.
Step S32, data scrubbing：Data scrubbing process is peeled off by filling in value, smooth noise, identification or the deletion of missing
It puts and solves inconsistency to clear up data.
Step S33, data characterization：There are many interested attribute values in the database cannot be straight in anti money washing system
It picks up, needs to characterize target data.
Step S4, collaboration customer is according to infrastructure elements structure configuration technology index (see Fig. 3).Wherein, technical indicator is adopted
Set method is as follows：
Step S41, according to as defined in the People's Bank block trade feature carry out association attributes analysis, determine Property Name with
The representation of value；
Algorithm：SetIsLarge；
Input：Attribute_list, candidate association attributes set；
Output：The value of attribute IsLarge；
Step S42, algorithm SetIsLarge is called, and call method is as follows：
Step S421, transaction data record is obtained from tables of data；
Step S422, the correlation attribute value of transaction record is obtained；
Step S423, the implementing result that the value of setting transaction data record islarge is algorithm SetIs-Large, wherein
The input parameter of algorithm SetIsLarge is the value obtained in step S422.
Step S5, collaboration customer meets the rule model of demand according to technical indicator structure (see Fig. 4)；
Step S6, rule of combination model, and comment with score value and threshold values (see Fig. 5).
Step S7, data are captured：Data acquisition is carried out according to regulation engine (see Fig. 6)；
Step S8, displaying and processing data (see Fig. 7).
A kind of regulation engine of anti money washing of the present invention, the regulation engine include：AML server-sides, AML databases
Layer, AML web terminals.
The AML server-sides use newest springboot framework technologies, simpler configuration to simplify new Spring
The initial of application is built and development process.The frame has used specific mode to be configured, it is no longer necessary to define model
The configuration of change.Tomcat built in AML, also can isolated operation service without disposing WAR packets.Simplify Maven configurations, automatically configures
Spring does not require to configure without code building and to XML
The AML database layers use JPA technologies, support large data sets, affairs, the container levels affairs such as concurrently, this makes
The limitation that JPA has surmounted simple persistence framework is obtained, the effect of bigger is played in enterprise's application.
AML web terminals add the design of itself using domestic young LayUI framework technologies, by each page
Face modularization, abstract, can be multiplexed in the different pages, in conjunction with server-side json technologies, make the display of each page can
With by developer and User Defined configuration, it is not necessary to modify codes.It is external extremely simple, but full inherence, volume are not lost
Merrily and lightheartedly, component is plentiful, and the everywhere details from core code to API all by chiseling and carving meticulously, is very suitable for quickly opening for interface
Hair.
AML integrally uses rest framework styles, front and back end separation centered on system resource, can be write with different language
By HTTP handle and transmission resource state, allow internal applications (be based on Asynchronous JavaScript+
Ajax's Customizes User Interface) easily connect, position and use resource.
AMl flows use configurable type, can be configured according to json the beginnings of flexible specified flow nodes, termination, under
One step etc..
A kind of regulation engine of anti money washing of the present invention and having the technical effect that for method：According to the requirement of the People's Bank, respectively
A financial institution needs the self-defined anti money washing crawl model of itself, and model is carried out indexing management.The purpose of the present invention is
Reach flexible configuration anti money washing by the configuration of flexible technical indicator, monitoring index configuration, monitoring index combination and capture model,
Reach the data that accurately crawl meets the suspicious model of financial institution.And it can realize being adjusted flexibly after later stage model is reheard；
AML regulation engines realize that client dynamic configuration is regular (amount of money, stroke count etc.), and system is according to the rule generation of user configuration
Sql acquires out suspicious and wholesale data；Sorting algorithm accuracy rate is that the accuracy rate analyzed by association attributes is determined with integrality
's.If all association attributes of energy complete extraction block trade and suspicious transaction, as long as a threshold value is arranged to these attributes
Accurate classification can be carried out to transaction data.This anti money washing system is accurate to the classification of transaction data using classifying step and algorithm
Rate reaches 99% or more；Can flexible configuration data crawl infrastructure elements, convenient for business extension and system it is perfect；
Monitoring index can flexibly be combined；It can flexible configuration rule model.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
Member, under the premise of not departing from the method for the present invention, can also make several improvement and supplement, these are improved and supplement also should be regarded as
Protection scope of the present invention.
Claims (6)
1. a kind of regulation engine method of anti money washing, the described method comprises the following steps：
Step S1, it is capable of the basic information element of automatic collection in collaboration customer collecting mechanism；
Step S2, substep excavates transaction data；
Step S3, data prediction；Data mining first has to pre-process data, and configuration rule attribute corrects mistake value,
Remove repetition record and repetition values；
Step S4, collaboration customer builds configuration technology index according to infrastructure elements；
Step S5, collaboration customer meets the rule model of demand according to technical indicator structure；
Step S6, rule of combination model, and comment with score value and threshold values；
Step S7, data are captured：Data acquisition is carried out according to regulation engine；
Step S8, displaying and processing data.
2. a kind of regulation engine method of anti money washing according to claim 1, which is characterized in that particular content in step S2
For：According to block trade and suspicious transaction feature, part wholesale can be concentrated directly in initial data with suspicious transaction data and be excavated,
Error message is same after being corrected by applicant management section directly to excavate part block trade and suspicious transaction data.
3. a kind of regulation engine method of anti money washing according to claim 1, which is characterized in that specifically included in step S3
Following steps：
Step S31, attribute filters：Association attributes are analyzed according to block trade and suspicious transaction feature, add some and anti money washing
The related attribute of service feature, removing existing and anti money washing service feature does not have the attribute of any relationship；
Step S32, data scrubbing：Data scrubbing process is by filling in value, smooth noise, identification or the deletion outlier of missing simultaneously
Inconsistency is solved to clear up data；
Step S33, data characterization：There are many interested attribute values that cannot directly take in the database in anti money washing system
, it needs to characterize target data.
4. a kind of regulation engine method of anti money washing according to claim 1, which is characterized in that specifically included in step S4
Following steps：
Step S41, association attributes analysis is carried out according to block trade feature as defined in the People's Bank, determines Property Name and value
Representation；
Using algorithm：SetIsLarge；
Input：Attribute_list, candidate association attributes set；
Output：The value of attribute IsLarge；
Step S42, algorithm SetIsLarge is called.
5. a kind of regulation engine method of anti money washing according to claim 4, which is characterized in that specific in step S42
Call method includes the following steps：
Step S421, transaction data record is obtained from tables of data；
Step S422, the correlation attribute value of transaction record is obtained；
Step S423, the implementing result that the value of setting transaction data record islarge is algorithm SetIs-Large, wherein algorithm
The input parameter of SetIsLarge is the value obtained in step S422.
6. a kind of regulation engine using any one of claim 1-5 anti money washings, the regulation engine include AML server-sides,
AML database layers, AML web terminals；The AML server-sides use springboot frames, built-in Tomcat；The AML
Database layer uses JPA；The AML web terminals use LayUI frames, and combine server-side json.
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Application publication date: 20180803 |