CN107067324A - A kind of utilization network packet capturing data realize the method and system of transaction risk control - Google Patents
A kind of utilization network packet capturing data realize the method and system of transaction risk control Download PDFInfo
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Abstract
The present invention relates to finance data monitoring technology field.The method and system of transaction risk control is realized the purpose is to provide a kind of utilization network packet capturing data, the risk of operation system can be detected in real time, find Immediate management at once, realize the real-time control of business transaction risk, newly-increased and regulation rule is also helped simultaneously, position risk behavior can be tackled rapidly, and existing business system need not be transformed, and data are complete, truly have Process Character.A kind of method that utilization network packet capturing data realize transaction risk control, is that real-time mirror image portion data on flows realizes effective risk control to business from operation system；The system at least includes：Data engine module, data filtering module, channel distribution module, risk control module, batch processing module, risk alarm module, visual query module.
Description
Technical field
It is to be related to one kind using network packet capturing data reality specifically the present invention relates to finance data monitoring technology field
The method and system of existing transaction risk control.
Background technology
In recent years, going deep into China's Financial industry reform, risk control be increasingly becoming risk management one grinds
Study carefully focus.The report that media lose event to particularly business bank of all kinds of financial companies increases, operational risk by it is preceding not
Some concerns.The financial transaction fraud case of sustainable growth is fund security to financial company, social reputation, or even normal fortune
The threat of battalion.
However, the measurement of risk control is made slow progress with managing due to losing the shortage of data.
The air control pattern of most financial companies' uses is at present：Daily transaction data is stored in database,
After per light end, air control system extracts these transaction details and does risk assessment again.Such method is also referred to as " T+1 " pattern, it
Defect be can not in real time to every transaction carry out risk control.
It is also a kind of to realize the pattern for real-time sub-control of merchandising, it is the restoration and reuse in the application component of operation system,
Increase air control module.Although such pattern can be achieved on the real-time sub-control of transaction, but there is huge risk or skill
Art defect, mainly has：(1) business is transformed in existing business system, has not only needed to keep original framework not change but also needs
The new function of increase, cost is very high；(2) air control is applied in operation system, can increase the resource consumption in original system, increase
Performance cost；(3) after air control rule changes, it is necessary to experienced air control staff artificially modifies, wave
Take substantial amounts of human cost；(4) due to being that transaction data is obtained from application component, behavioral data has been lacked, risk control has
, still there is certain risk for the normal operation of business in its limitation.
The content of the invention
, can be real-time it is an object of the invention to provide a kind of method that utilization network packet capturing data realize transaction risk control
Detect the risk of operation system, find Immediate management at once, realize the real-time control of business transaction risk, while also helping new
Increase and regulation rule, position risk behavior can be tackled rapidly, and existing business system need not be transformed, and data are complete
It is whole, truly have Process Character.
It is a further object of the present invention to provide one kind transaction risk control is realized suitable for above-mentioned utilization network packet capturing data
Method system.
The object of the present invention is achieved like this：
A kind of method that utilization network packet capturing data realize transaction risk control, this method is the real-time mirror from operation system
Effective risk control to business is realized as a data on flows, following steps are specifically included：
(1) network data of a operation system of mirror image and packet is captured, protocol-decoding is carried out to the packet of crawl
Be converted to readable business datum；
(2) corresponding critical field formation transaction data is extracted to readable business datum；
(3) for every a transaction data definition data structure, data type on demand, carried out according to different transaction channels
Divide, generate transaction channel data flow；
(4) choose or gather channel data flow, data are associated according to air control logic, counted, polymerizes etc. and operate；
(5) according to business practical operation situation, air control model is matched, judges that the transaction of input whether there is risk；
(6) risk alarm result is obtained, and sets up index, in the form of web pages generation visualization data.
Wherein, the critical field in step (2) can include：Account number, transaction area code, mechanism number, type of transaction,
Transaction verification code, dealing money etc..
A kind of utilization network packet capturing data suitable for the above method realize transaction risk control system, and the system is at least wrapped
Include：Data engine module, data filtering module, channel distribution module, risk control module, batch processing module, risk alarm mould
Block, visual query module.
Data engine module, comprising multiple original data sources, for carrying out protocol-decoding to network packet and by network
Data are converted to readable business datum, extract corresponding critical field formation transaction data for each specific business, pass through
Specific network transport interface sends transaction data to data filtering module.
Data filtering module, obtains transaction data, to each for different data sources from the data engine module
Part transaction data definition data structure and data type, and the data after definition are sent to channel distribution module on demand.
Channel distribution module, comprising multiple support channels data flow, for the transaction that will be received from the data filtering module
Data are divided according to different transaction channels and form different transaction risk channel data flows, and according to risk control mould
The definition of block, sends corresponding channel data flow and gives risk control module, and according to the definition of batch processing module, send correspondence
Channel data flow give batch processing module.
Risk control module, including：Model Matching unit and risk assessment unit；The Model Matching unit, for root
Channel data flow needed for being chosen according to different types of air control model, and send to the risk assessment unit；The risk is commented
Estimate unit, for loading air control model template, air control model is matched according to business practical operation situation, judging the transaction of input is
It is no to there is risk, result is sent to risk alert module；The risk control module is also by batch processing module definition
Need, while replicating a result, be sent to batch processing module.
Batch processing module, including：Database Unit, batch processing engine unit and machine learning unit；The database list
Member, for being received by the definition of batch processing engine unit after the channel data flow of channel distribution module transmission, saving format
Transaction data is into each classification chart；The batch processing engine unit, the channel data of the reception for defining Database Unit
Stream type, the receiving of control data library unit, storage and send data, according to business practical operation situation set risk control rule
Then, batch processing judges whether the transaction of input exceedes the threshold value of air control rule, batch processing result is sent into risk alarm module；
The machine learning unit, for using transaction feature transition matrix principle, non-bosom friend is found by rare trading activity sequence
Easy risk, the possibility for calculating generation several transactions recently, accumulation judged result, and constantly update air control rule and threshold value.
Risk alarm module, for receiving the risk alarm result that risk control module and batch processing module are sent, and leads to
Cross specific network transport interface and send risk result of determination to visual query module.
Visual query module, is indexed to accelerate data for obtaining risk trade result of determination and setting up；And with webpage
Form provides data visualization and data query.
Wherein, the data source is made up of a series of network packet；The network transport interface includes but not limited
Then：ftp、webservice、syslog、socket、datagram、kafka.
Wherein, the data structure include but is not limited to be：Single data structure, collecting structure, linear structure, tree-shaped knot
Structure, graphic structure；The data type includes but is not limited to：Numeric type, Boolean type, text-type；The transaction channel is：Hand
Machine bank, telephone bank, Net silver, ATM and/cabinet face.
Wherein, the channel data flow for being sent to the risk control module can be single channel data flow or
Multiple support channels data flow intersection；If single channel data flow, then be transmitted directly to risk assessment unit；If multiple canals
Track data adfluxion is closed, then is integrated into a new data flow after crucial transaction field is associated again and is sent to risk assessment unit.
The air control model template is air control model template correspondence one air control logical sum, one group of adjustable parameter.It is described
The type of air control model template includes but is not limited to：Ash/blacklist, high-risk transactions, excessive risk are transferred accounts, built-in function wind
Account, abnormal login move in danger, abnormal place, excessive risk enterprise, etc..
Further, described calculate occurs the method for a few transaction possibilities recently and is：Several transactions are determined first
Feature code, then finds out corresponding transition probability from eigenmatrix, and probability multiplication is drawn into what this transaction sequence occurred
Probability, compared with a certain threshold value, if possible property then judges the risk trade that is defined less than this threshold values.
Have in the visual query module：Model parameter configuration module, risk trade tracing module, Risk statistic analysis
Views module, risk large-size screen monitors views module.
Wherein, model parameter configuration module, for set the classification of risk model, the selection of risk model, parameter setting,
Using the selection of channel；Risk trade tracing module, for statistical risk model hit-count, risk trade quantity and the amount of money pair
It is more detailed than timing diagram, risk model hit ratio, risk trade；Risk statistic analyzes views module, for inquiring about risk trade
Total stroke count, total amount, risk trade stroke count Area distribution, the quantity statistics of risk category, the risk of hit risk trade are pressed
The quantity statistics of concrete model；Risk large-size screen monitors views module, for showing risk trade data.
Wherein, the data provided in the form of web pages in data visualization can be presented as iconic format, the icon class
Type includes but is not limited to：Line chart, block diagram, pie chart, Sang Jitu, data form；The data query is according to each field
Value carries out data filtering inquiry.
The utilization network packet capturing data provided using the present patent application realize that the system and method for transaction risk control can
Realize for financial company's operation system real-time risk control, data message be derived from network bypass data, precisely, in real time and can
Quickly to land；Application delivery should not be covered to the change application of original operation system also without injecting codes using the system
Chain；Any influence is not produced on existing business system；It is uninterrupted in real time, do not influenceed by itself frequent change；Real-time network number
According to data message enriches；The regular additions and deletions of air control are changed and look into simple and quick；Flexible machine learning engine is conducive to newly-increased and adjusted
Whole rule, position risk behavior can be tackled rapidly；Data can also be showed from various visual angles, various dimensions.
The present invention is by adopting the above-described technical solution, compared with prior art, have the advantages that：Resource high-efficiency
Utilize, make full use of ready-made network real time data, and data are complete, truly have Process Character；Operation system risk is detected in real time,
At once Immediate management is found；Senior data correlation, risk rule matching capacity are provided；Using machine learning engine, it is easy to slap
Hold regular definition mode, quick regular iteration.
Brief description of the drawings
By embodiment of the invention below and description taken together with the accompanying drawings, the other advantages and features of the present invention are shown, should
Embodiment is provided by way of example, but is not limited to this, wherein：
Fig. 1 is the preferred embodiment that a kind of utilization network packet capturing data of the invention realize transaction risk control system
System structure diagram.
Fig. 2 is the preferred embodiment that a kind of utilization network packet capturing data of the invention realize transaction risk control method
Process chart.
Embodiment
According to the operating method of the system, it is embodied as follows：
Certain bank counter staff realizes not strong due to discipline, operates an employee and has account and in-house account by oneself
The violation operation of family treasury trade.The data of this transaction are produced in cabinet plane system, while number evidence can also be produced
In mirror image.System will carry out following operate：
(1) the data engine module of the system can capture the mirror image data bag of cabinet plane system, and according to the association of cabinet plane system
View carries out decoded packet data and generates readable business datum.
(2) cabinet plane system is directed to, transaction critical field is extracted, including：Account number, transaction area code, mechanism number, transaction
Type, transaction verification code, dealing money etc., form transaction data, and send transaction data to number by network data interface
According to filtering module.The cabinet plane system transmission data of current bank are the kafka interfaces of standard, and data engine module is by transaction data
Data filtering module is sent to by kafka interfaces.
(3) data filtering module is by transaction data definition data structure and data type on demand, and is sent to channel distribution
Module.
(4) this merchandises in violation of rules and regulations can be divided into built-in function risk channel in channel distribution module, and form channel
Data flow 3, according still further to the definition of risk control module, risk control module is sent to by channel data flow 3.
(5) type of the Model Matching unit 3 in risk control module is that interior employee moves the transaction of account class, can receive channel
Data flow 3, and it is sent to corresponding risk assessment unit 3.
(6) whether the transaction that risk assessment unit 3 is inputted according to current air control rule judgment exceedes air control threshold value, knot
Fruit judges to exceed threshold value there is risk, and result is sent into risk alarm module, is given while replicating a result
Batch processing module.
(7) the machine learning unit of batch processing module is by result match trading transition matrix and accumulates judged result,
To constantly update air control rule and threshold value.
(8) risk alarm result is transferred to visually by risk alarm module by network transport interface (i.e. kafka interfaces)
Change enquiry module.
(9) visual query module is set up according to risk trade result of determination and indexed, and offer data can in the form of web pages
Depending on change and data query.
Wherein, there are model parameter configuration, risk trade tracking, Risk statistic analysis view, wind in visual query module
The functions such as dangerous large-size screen monitors view.
Wherein, model parameter configuration view can be set the classification of risk model, the selection of risk model, parameter setting, should
Selection with channel etc.；Risk statistic analysis view can inquire about the total stroke count of risk trade, hit total amount, the risk of risk trade
Stroke count Area distribution, the quantity statistics of risk category, risk merchandise by quantity statistics of concrete model etc.；Risk trade is followed the trail of
View can statistical risk model hit-count, risk trade quantity and amount of money contrast timing diagram, risk model hit ratio, risk
Transaction details etc..
Although the present invention is hereinbefore illustrated according to preferred embodiment, it is not intended that the scope of the present invention is only
Above-mentioned structure is confined to, if what those skilled in the art can easily develop after above-mentioned explanation is read
Equivalent substitution structure, the equivalent changes and modifications made under the spirit and scope for not departing from the present invention should all be covered by this hair
Within bright the scope of the claims.
Claims (13)
1. a kind of method that utilization network packet capturing data realize transaction risk control, it is characterised in that this method is from business system
Real-time mirror image portion data on flows realizes effective risk control to business in system, specifically includes following steps：
(1) network data of a operation system of mirror image and packet is captured, protocol-decoding conversion is carried out to the packet of crawl
For readable business datum；
(2) corresponding critical field formation transaction data is extracted to readable business datum；
(3) for every a transaction data definition data structure, data type on demand, drawn according to different transaction channels
Point, generate transaction channel data flow；
(4) choose or gather channel data flow, data are associated according to air control logic, counted, polymerizes etc. and operate；
(5) according to business practical operation situation, air control model is matched, judges that the transaction of input whether there is risk；
(6) risk alarm result is obtained, and sets up index, in the form of web pages generation visualization data.
2. a kind of utilization network packet capturing data suitable for claim 1 methods described realize transaction risk control system, it is special
Levy and be, the system at least includes：
Data engine module, comprising multiple original data sources, for carrying out protocol-decoding to network packet and by network data
Readable business datum is converted to, corresponding critical field formation transaction data is extracted for each specific business, by specific
Network transport interface send transaction data to data filtering module；
Data filtering module, transaction data is obtained for different data sources from the data engine module, to every a friendship
Easy data definition data structure and data type, and the data after definition are sent to channel distribution module on demand；
Channel distribution module, comprising multiple support channels data flow, for the transaction data that will be received from the data filtering module
Divided according to different transaction channels and form different transaction risk channel data flows, and according to risk control module
Definition, sends corresponding channel data flow and gives risk control module, and according to the definition of batch processing module, send corresponding canal
Track data stream gives batch processing module；
Risk control module, including：Model Matching unit and risk assessment unit；The Model Matching unit, for according to not
The air control model of same type chooses required channel data flow, and sends to the risk assessment unit；The risk assessment list
Member, for loading air control model template, air control model is matched according to business practical operation situation, judges whether the transaction of input deposits
In risk, result is sent to risk alert module；The need for the risk control module also presses batch processing module definition,
A result is replicated simultaneously, is sent to batch processing module；
Batch processing module, including：Database Unit, batch processing engine unit and machine learning unit；The Database Unit, is used
Number of deals after the channel data flow, saving format sent by the definition reception channel distribution module of batch processing engine unit
According into each classification chart；The batch processing engine unit, the channel data stream type of the reception for defining Database Unit,
The receiving of control data library unit, storage and send data, risk control rule set according to business practical operation situation, batch at
Reason judges whether the transaction of input exceedes the threshold value of air control rule, batch processing result is sent into risk alarm module；The machine
Device unit, for using transaction feature transition matrix principle, by rare trading activity sequence find unknown transaction risk,
The possibility for occurring several transactions recently, accumulation judged result are calculated, and constantly updates air control rule and threshold value；
Risk alarm module, for receiving the risk alarm result that risk control module and batch processing module are sent, and passes through spy
Fixed network transport interface sends risk result of determination to visual query module；
Visual query module, for obtaining risk trade result of determination and setting up index to accelerate data, and in the form of web pages
Data visualization and data query are provided.
3. system as claimed in claim 2, it is characterised in that：The data source is made up of a series of network packet.
4. system as claimed in claim 2, it is characterised in that：The network transport interface includes but is not limited to：ftp、
webservice、syslog、socket、datagram、kafka。
5. system as claimed in claim 2, it is characterised in that：The data structure includes but is not limited to：Single data structure,
Collecting structure, linear structure, tree, graphic structure；The data type includes but is not limited to：Numeric type, Boolean type,
Text-type.
6. system as claimed in claim 2, it is characterised in that：The transaction channel is：Mobile banking, telephone bank, Net silver,
ATM and/cabinet face.
7. system as claimed in claim 2, it is characterised in that：The channel data flow for being sent to the risk control module can be with
It is single channel data flow or multiple support channels data flow intersection；If single channel data flow, then be transmitted directly to
Risk assessment unit；If multiple support channels set of data flows, then it is integrated into again after crucial transaction field is associated a new
Data flow is sent to risk assessment unit.
8. system as claimed in claim 2, it is characterised in that：The air control model template is an air control model template correspondence
One air control logical sum, one group of adjustable parameter.
9. system as claimed in claim 8, it is characterised in that：The type of the air control model template includes but is not limited to：
Ash/blacklist, high-risk transactions, excessive risk are transferred accounts, account moves in built-in function risk, abnormal place, excessive risk enterprise, abnormal stepped on
Record.
10. system as claimed in claim 2, it is characterised in that：It is described to calculate the side for occurring a few transaction possibilities recently
Method is：The feature code of several transactions is determined first, corresponding transition probability is then found out from eigenmatrix, by probability multiplication
The probability that this transaction sequence occurs is drawn, compared with a certain threshold value, if possible property then judges the wind that is defined less than this threshold values
Danger transaction.
11. system as claimed in claim 2, it is characterised in that：Have in the visual query module：
Model parameter configuration module, for set the classification of risk model, the selection of risk model, parameter setting, using channel
Selection；
Risk trade tracing module, for statistical risk model hit-count, risk trade quantity and the amount of money contrast timing diagram, wind
Dangerous model hit ratio, risk trade are detailed；
Risk statistic analyzes views module, for inquiring about the total stroke count of risk trade, the total amount for hitting risk trade, risk trade
Stroke count Area distribution, the quantity statistics of risk category, risk press the quantity statistics of concrete model；
Risk large-size screen monitors views module, for showing risk trade data.
12. system as claimed in claim 11, it is characterised in that：The data provided in the form of web pages in data visualization
Iconic format can be presented as, the icon type includes but is not limited to：Line chart, block diagram, pie chart, Sang Jitu, data form.
13. system as claimed in claim 2, it is characterised in that：The data query is to carry out data according to each field value
Filtering inquiry.
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| CN110472956B (en) * | 2019-08-16 | 2022-04-12 | 中国银行股份有限公司 | Real-time detection method and device for split-payment behavior |
| CN110472956A (en) * | 2019-08-16 | 2019-11-19 | 中国银行股份有限公司 | Decouple pay behavior real-time detection method and device |
| CN110648220A (en) * | 2019-09-24 | 2020-01-03 | 中国工商银行股份有限公司 | Capital flow direction analysis system and method based on flow data platform |
| CN110796379B (en) * | 2019-10-30 | 2022-11-11 | 北京明略软件系统有限公司 | Risk assessment method, device and equipment of business channel and storage medium |
| CN110796379A (en) * | 2019-10-30 | 2020-02-14 | 北京明略软件系统有限公司 | Risk assessment method, device and equipment of business channel and storage medium |
| CN111400135A (en) * | 2020-03-13 | 2020-07-10 | 普信恒业科技发展（北京）有限公司 | Method and device for extracting service data |
| CN111507829A (en) * | 2020-04-22 | 2020-08-07 | 广州东百信息科技有限公司 | Overseas credit card wind control model iteration method, device, equipment and storage medium |
| CN111667267B (en) * | 2020-05-29 | 2023-04-18 | 中国工商银行股份有限公司 | Block chain transaction risk identification method and device |
| CN112256795A (en) * | 2020-10-10 | 2021-01-22 | 广西电网有限责任公司 | Data integration platform data service system |
| CN112132687A (en) * | 2020-11-24 | 2020-12-25 | 深圳华锐金融技术股份有限公司 | Resource exchange wind control method and device, computer equipment and storage medium |
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