CN112365265A - Internet financial intelligent wind control system - Google Patents
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Abstract
The invention provides an internet financial intelligent wind control system, which comprises: the data acquisition module is used for acquiring data in the electronic channel and transmitting the data to the risk monitoring service module; the preprocessing engine unit of the transaction risk monitoring module processes data according to preset configuration information to acquire the processed data; the statistical engine unit is used for summarizing and counting the behaviors of the user side to generate behavior data; the risk evaluation unit analyzes and evaluates the transaction according to the behavior data and the processed data based on the preset rule engine and the preset evaluation strategy, acquires risk evaluation information and transmits the risk evaluation information to the control strategy unit; the control strategy unit executes a corresponding operation mode according to the risk assessment information; when the acquired risk assessment information contains abnormal information, the control strategy unit executes corresponding early warning operation and transmits early warning information to workers and users, so that the real-time early warning function of the system is realized.
Description
Technical Field
The invention relates to the technical field of electronic transactions, in particular to an internet financial intelligent wind control system.
Background
With the continuous development of network technology and economic society, electronic transactions carried out by people through electronic channels such as internet banking, mobile phone banking and the like are increasing day by day; when the transaction is carried out through an electronic channel, convenience is brought to people and enterprises, and meanwhile, the electronic transaction is also brought with great potential safety hazards due to illegal activities such as network financial crimes and the like.
At present, for the supervision of electronic transactions, generally, when a user finds that an electronic transaction is abnormal, the user alarms to handle the electronic transaction, so that real-time early warning in a transaction process cannot be realized, and loss is caused; therefore, an internet financial intelligent wind control system is urgently needed.
Disclosure of Invention
In order to solve the technical problem, the invention provides an internet financial intelligent wind control system which is used for realizing real-time early warning in the electronic transaction process.
The embodiment of the invention provides an internet financial intelligent wind control system, which comprises: the system comprises a data acquisition module and a transaction risk monitoring module; wherein the content of the first and second substances,
the data acquisition module is used for acquiring data in an electronic channel and transmitting the data to the risk monitoring module;
the transaction risk monitoring module comprises a preprocessing engine unit, a statistic engine unit, a risk evaluation unit and a control strategy unit; wherein the content of the first and second substances,
the preprocessing engine unit is used for processing the data transmitted by the data acquisition module according to preset configuration information to acquire processed data;
the statistical engine unit is used for summarizing and counting the behaviors of the user side to generate behavior data;
the risk evaluation unit is used for analyzing and evaluating transactions based on a preset rule engine and a preset evaluation strategy and according to the behavior data generated by the statistics engine unit and the data processed by the preprocessing engine unit, acquiring risk evaluation information and transmitting the risk evaluation information to the control strategy unit;
and the control strategy unit is used for executing corresponding operation according to the risk assessment information transmitted by the risk assessment unit.
In one embodiment, the data acquisition module comprises a real-time data acquisition unit and a batch data acquisition unit;
the real-time data acquisition unit is in butt joint with the electronic channel integration platform; the electronic channel integration platform is used for transmitting real-time transaction data of an internet bank, a mobile phone bank, an ATM (automatic teller machine) and a POS (point-of-sale) machine to the real-time data acquisition unit;
the real-time data acquisition unit is in butt joint with the bank front-end system through an enterprise service bus; the bank front-end system is used for transmitting the real-time transaction data to the real-time data acquisition unit through the enterprise service bus;
and the batch data acquisition unit is used for extracting the off-line data in the electronic channel through an operation type data storage system.
In an embodiment, the preprocessing engine unit is configured to extract a sender identifier of each piece of data according to an identifier identification model in the preset configuration information, analyze the sender identifier of each piece of data, and divide the data into user-side data and bank-side feedback data;
extracting the IP address of the sending end of each piece of data in the user end data according to the equipment identification model in the preset configuration information; inquiring equipment information matched with the IP address according to the IP address; according to the equipment information, account information for operating equipment corresponding to the equipment information is acquired; marking the equipment information and the account information on each piece of data in the user terminal data respectively;
extracting the bank end IP address of each piece of data in the bank end feedback data according to the bank end identification model in the preset configuration information; acquiring a bank outlet corresponding to the bank end IP address according to the bank end IP address, thereby determining the bank outlet for operating each piece of data in the bank end feedback data, and marking the information of the bank outlet on each piece of data in the bank end feedback data respectively; taking the marked data as the data processed by the preprocessing engine unit;
the identification authentication model acquires a large number of sender identifications corresponding to the user side and sender identifications corresponding to the bank side through a big data technology; analyzing a sender identifier corresponding to a user side and a sender identifier corresponding to a bank side respectively to obtain a first rule of the sender identifier corresponding to the user side and a second rule of the sender identifier corresponding to the bank side; and the preprocessing engine unit extracts the sender identification of each piece of data according to a first rule and a second rule of an identification model, and divides the data into user-side data and bank-side feedback data.
In one embodiment, the preset evaluation strategy comprises a non-evaluation strategy, a post-evaluation strategy and a post-evaluation strategy;
the non-evaluation policy is that the transaction is not evaluated;
the post evaluation strategy is to monitor whether the transaction has abnormal behavior without intervening the transaction;
and (4) evaluating the strategy in the affairs, namely, handling the transaction in real time when the abnormal behavior is monitored to exist in the transaction.
In one embodiment, the risk assessment unit further comprises a scene recognition model;
the scene recognition model is used for acquiring scene information of the transaction according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit;
when the scene information of the transaction is a security scene, the preset rule engine adopts a defense rule set based on the security scene, the preset evaluation strategy adopts a non-evaluation strategy, and the transaction is not evaluated;
when the scene information of the transaction is a common transaction scene, the preset rule engine adopts a defense rule set based on the common transaction scene, the preset evaluation strategy adopts a post-evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit, whether abnormal behavior exists in the transaction is monitored, and risk evaluation information is obtained;
when the scene information of the transaction is a fraud scene, the preset rule engine adopts a defense rule set based on the fraud scene, the preset evaluation strategy adopts an in-service evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistics engine unit and the data processed by the preprocessing engine unit, the abnormal behavior existing in the transaction is monitored in real time, the transaction is processed in real time, and risk evaluation information is obtained.
In one embodiment, the user side comprises one or more of a user account, user equipment and a user IP address;
the risk assessment information corresponds to operations including one or more of release, warning, strong authentication, suspension and blocking;
the transaction risk monitoring module is in butt joint with the intelligent notification platform and the session center;
the intelligent notification platform is used for sending risk reminding information to a user when the acquired risk assessment information corresponds to warning, strong authentication, suspension and blocking operation modes;
and the conversation center is used for confirming the transaction information by customer service personnel and a user of the conversation center when the corresponding operation mode of the acquired risk assessment information is suspended.
In one embodiment, the system further comprises an offline analysis module;
the off-line analysis module comprises an on-line monitoring database, an off-line analysis database and a report generation unit; the online monitoring database is used for acquiring and storing operation data generated in the operation process of the transaction risk monitoring module; the off-line analysis database is used for extracting the operation data from the on-line monitoring database according to a preset time period;
and the report generation unit is used for cutting off the data connection between the online monitoring database and the offline analysis database after the offline analysis database extracts the operation data from the online monitoring database, analyzing and summarizing the operation data in the offline analysis database, and generating a report.
In one embodiment, the system further comprises an internal management module;
the internal management module comprises an operation management unit, a risk monitoring unit, a report management unit and a system management unit; wherein the content of the first and second substances,
the operation management unit is used for configuring the preset configuration information, the preset rule engine and the preset evaluation strategy according to transaction configuration information transmitted by a worker;
the risk monitoring unit is used for acquiring the working information of the transaction risk monitoring module in real time and displaying the working information to a worker;
the risk monitoring unit is also used for analyzing and processing the current working information of the transaction risk monitoring module and transmitting a warning reason to a worker when the operation mode corresponding to the risk assessment information is warning;
the report management module is used for summarizing the report generated by the report generation unit, generating report information and displaying the report information to workers;
and the system management module is used for managing the authority of the user side by the staff.
In one embodiment, the control policy unit is configured to analyze the risk assessment information transmitted by the risk assessment unit, and obtain an assessment result in the risk assessment information; extracting factors influencing the evaluation result from the risk evaluation information;
according to a set score rule, carrying out quantization processing on information contained in factors influencing the evaluation result to obtain a numerical value corresponding to the information contained in the factors, and carrying out normalization processing on the numerical value corresponding to the information contained in the factors through a normalization formula to obtain a numerical value corresponding to the factors; obtaining a standard numerical value corresponding to the factor through a factor standardization formula;
setting m numerical values corresponding to information contained in the factors; the value corresponding to the information contained in the factor is alpha1、α2、……、αmObtaining the maximum value alpha of the numerical valuesmaxAnd a minimum value alphamin；
The value is normalized; alpha is alphaiThe ith numerical value corresponding to the information contained in the factors;
is to alphaiNormalizing the processed numerical value; the normalized formula is then:
to the normalized value
After the averaging processing is carried out, a numerical value A corresponding to the factor is obtained;
A*in order to obtain a standard value after the factor normalization processing is performed on the value a corresponding to the factor, the factor normalization formula is as follows:
obtaining a weight value of a factor influencing the evaluation result by an analytic hierarchy process; acquiring a risk assessment value corresponding to the risk assessment information through a risk assessment formula; the control strategy unit executes a corresponding operation mode according to the risk assessment value corresponding to the risk assessment information;
setting the numerical value corresponding to the first factor influencing the evaluation result as A1The second factor corresponds to a value of A2The value corresponding to the third factor is A3(ii) a The values corresponding to the first factors are A1The second factor corresponds to a value of A2The value corresponding to the third factor is A3Performing factor standardization to obtain standard value
And
and obtaining a weight value mu of the first factor influencing the evaluation result by an analytic hierarchy process1A weight value mu of the second factor influencing the evaluation result2A weight value mu of the third factor influencing the evaluation result3(ii) a The risk assessment value is Y; the risk assessment formula is:
the factors that affect the evaluation result include: one or more of transaction time information, transaction amount information, and transaction account information.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
Fig. 1 is a schematic structural diagram of an internet financial intelligent wind control system provided by the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An embodiment of the present invention provides an internet financial intelligent wind control system, as shown in fig. 1, the system includes: a data acquisition module 11 and a transaction risk monitoring module 12; wherein the content of the first and second substances,
the data acquisition module 11 is used for acquiring data in the electronic channel and transmitting the data to the risk monitoring module 12;
the transaction risk monitoring module 12 comprises a preprocessing engine unit 121, a statistic engine unit 122, a risk evaluation unit 123 and a control strategy unit 124; wherein the content of the first and second substances,
the preprocessing engine unit 121 is configured to process data transmitted by the data acquisition module 11 according to preset configuration information, and acquire the processed data;
the statistical engine unit 122 is configured to perform summary statistics on the behaviors of the user side to generate behavior data;
the risk evaluation unit 123 is configured to analyze and evaluate the transaction according to the behavior data generated by the statistics engine unit 122 and the data processed by the preprocessing engine unit 121 based on a preset rule engine and a preset evaluation policy, acquire risk evaluation information, and transmit the risk evaluation information to the control policy unit 124;
and the control policy unit 124 is configured to perform a corresponding operation according to the risk assessment information transmitted by the risk assessment unit 123.
The working principle of the system is as follows: the data acquisition module 11 transmits the acquired data in the electronic channel to the risk monitoring service module 12; a preprocessing engine unit 121 in the transaction risk monitoring module 12 processes the data transmitted by the data acquisition module 11 according to preset configuration information, and acquires the processed data; the statistical engine unit 122 is used for summarizing and counting the behaviors of the user side to generate behavior data; the risk evaluation unit 123 analyzes and evaluates the transaction according to the behavior data generated by the statistics engine unit 122 and the data processed by the preprocessing engine unit 121 based on a preset rule engine and a preset evaluation policy, obtains risk evaluation information, and transmits the risk evaluation information to the control policy unit 124; the control policy unit 124 executes a corresponding operation mode according to the risk assessment information transmitted by the risk assessment unit.
The beneficial effect of above-mentioned system lies in: the data acquisition module is used for acquiring data in the electronic channel; the data acquired by the data acquisition module is processed by the preprocessing engine unit of the transaction risk monitoring module, and the processed data is transmitted to the risk evaluation unit; the statistical engine unit realizes the behavior statistics of the user side and further realizes the acquisition of the behavior data of the user side; the risk evaluation unit realizes the evaluation of the transaction according to the behavior data and the data processed by the preprocessing engine unit based on the preset rule engine and the preset evaluation strategy, and transmits the risk evaluation information obtained by the evaluation to the control strategy unit; finally, executing a corresponding operation mode through the control strategy unit according to the risk evaluation information transmitted by the risk evaluation unit; according to the technical scheme, the data acquisition module acquires data in an electronic channel in real time, the risk assessment unit assesses the transaction according to the behavior data and the data processed by the preprocessing engine unit based on the preset rule engine and the preset assessment strategy, and when the acquired risk assessment information contains abnormal information, the strategy unit is controlled to execute corresponding early warning operation and transmit early warning information to workers and users, so that the real-time early warning function of the system is realized; compared with the prior art, the system solves the problem that real-time early warning cannot be carried out in the transaction process in the prior art, so that data in an electronic channel is acquired in real time through the data acquisition module, risk assessment information is acquired through the transaction risk monitoring module, and a corresponding operation mode is executed; and further, when the acquired risk assessment information contains abnormal information, the control strategy unit executes corresponding early warning operation so as to timely carry out early warning on users and workers.
In one embodiment, the data acquisition module comprises a real-time data acquisition unit and a batch data acquisition unit;
the real-time data acquisition unit is in butt joint with the electronic channel integration platform; the electronic channel integration platform is used for transmitting real-time transaction data of an internet bank, a mobile phone bank, an ATM (automatic teller machine) and a POS (point of sale) machine to the real-time data acquisition unit;
the real-time data acquisition unit is in butt joint with the bank front-end system through an enterprise service bus; the bank front-end system is used for transmitting the real-time transaction data to the real-time data acquisition unit through the enterprise service bus;
and the batch data acquisition unit is used for extracting the offline data in the electronic channel through the operation type data storage system. In the technical scheme, the electronic channel integration platform is in butt joint with the real-time data acquisition unit of the data acquisition module, so that the data acquisition module can acquire real-time transaction data of an internet bank, a mobile phone bank, an ATM (automatic teller machine) and a POS (point-of-sale) machine, and the comprehensive monitoring capability of the system on multi-channel transaction risks is further realized; the real-time data acquisition unit is in butt joint with the bank front-end system through an enterprise service bus, so that the data acquisition module acquires real-time transaction data acquired by the bank front-end system; the batch data acquisition unit realizes acquisition of off-line data in the electronic channel through the operation type data storage system.
In one embodiment, the preprocessing engine unit is configured to extract a sender identifier of each piece of data according to an identifier identification model in preset configuration information, analyze the sender identifier of each piece of data, and divide the data into user-side data and bank-side feedback data;
extracting the IP address of the sending end of each piece of data in the user end data according to the equipment identification model in the preset configuration information; inquiring equipment information matched with the IP address according to the IP address; according to the equipment information, account information for operating equipment corresponding to the equipment information is acquired; respectively marking the equipment information and the account information on each piece of data in the user terminal data;
extracting the bank end IP address of each piece of data in the bank end feedback data according to the bank end identification model in the preset configuration information; acquiring a bank outlet corresponding to the bank end IP address according to the bank end IP address, thereby determining the bank outlet for operating each piece of data in the bank end feedback data, and marking the information of the bank outlet on each piece of data in the bank end feedback data respectively; taking the marked data as the data processed by the preprocessing engine unit; in the technical scheme, the preprocessing engine unit extracts the sender identifier of each piece of data according to the identifier identification model in the preset configuration information, and analyzes the sender identifier of each piece of data, so that the data is divided into user-side data and bank-side feedback data; extracting the IP address of the sending end of each piece of data in the user end data according to the equipment identification model in the preset configuration information; inquiring equipment information matched with the IP address according to the IP address; according to the equipment information, account information for operating equipment corresponding to the equipment information is acquired; respectively marking the equipment information and the account information on each piece of data in the user terminal data; extracting the bank end IP address of each piece of data in the bank end feedback data according to the bank end identification model in the preset configuration information; acquiring a bank outlet corresponding to the bank end IP address according to the bank end IP address, thereby determining the bank outlet for operating each piece of data in the bank end feedback data, and marking the information of the bank outlet on each piece of data in the bank end feedback data respectively; therefore, the data is marked by the technical scheme, and the data is processed by the preprocessing engine unit.
The identification authentication model acquires a large number of sender identifications corresponding to the user side and sender identifications corresponding to the bank side through a big data technology; analyzing a sender identifier corresponding to a user side and a sender identifier corresponding to a bank side respectively to obtain a first rule of the sender identifier corresponding to the user side and a second rule of the sender identifier corresponding to the bank side; and the preprocessing engine unit extracts the sender identification of each piece of data according to the first rule and the second rule of the identification model, and divides the data into user-side data and bank-side feedback data. In the technical scheme, the identification model acquires a large number of sender identifications corresponding to the user side and sender identifications corresponding to the bank side through a big data technology; the sender identification corresponding to the user side and the sender identification corresponding to the bank side are analyzed respectively, and therefore a first rule of the sender identification corresponding to the user side and a second rule of the sender identification corresponding to the bank side are obtained; the preprocessing engine unit divides data into user-side data and bank-side feedback data according to a first rule and a second rule of the identification authentication model.
In one embodiment, the evaluation strategy is preset, and comprises a non-evaluation strategy, a post-evaluation strategy and a post-evaluation strategy;
not evaluating the policy, i.e., not evaluating the transaction;
evaluating the strategy after the fact, namely, not intervening the transaction, and only monitoring whether the transaction has abnormal behaviors or not;
and (4) evaluating the strategy in the process, namely, processing the transaction in real time when abnormal behaviors exist in the transaction. According to the technical scheme, the function of evaluating the transaction by adopting different evaluation strategies under different scenes is realized through multiple evaluation strategies, and the capability of identifying, analyzing, identifying and controlling the transaction risk in and after the affairs of the system is further realized.
In one embodiment, the risk assessment unit further comprises a scene recognition model;
the scene recognition model is used for acquiring scene information of the transaction according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit;
when the scene information of the transaction is a security scene, the preset rule engine adopts a defense rule set based on the security scene, the preset evaluation strategy adopts a non-evaluation strategy, and the transaction is not evaluated;
when the scene information of the transaction is a common transaction scene, the preset rule engine adopts a defense rule set based on the common transaction scene, the preset evaluation strategy adopts a post evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit, whether abnormal behavior exists in the transaction is monitored, and risk evaluation information is obtained;
when the scene information of the transaction is a fraud scene, the preset rule engine adopts a defense rule set based on the fraud scene, the preset evaluation strategy adopts an in-transaction evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistics engine unit and the data processed by the preprocessing engine unit, abnormal behaviors existing in the transaction are monitored in real time, the transaction is processed in real time, and risk evaluation information is obtained. In the technical scheme, the scene information of the transaction is acquired according to the behavior data generated by the statistical engine unit and the data processed by the preprocessing engine unit through the scene recognition model of the risk assessment unit; when the scene information of the transaction is a security scene, the preset rule engine adopts a defense rule set based on the security scene, the preset evaluation strategy adopts a non-evaluation strategy, and the transaction is not evaluated; when the scene information of the transaction is a common transaction scene, the preset rule engine adopts a defense rule set based on the common transaction scene, the preset evaluation strategy adopts a post evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit, whether abnormal behavior exists in the transaction is monitored, and risk evaluation information is obtained; when the scene information of the transaction is a fraud scene, the preset rule engine adopts a defense rule set based on the fraud scene, the preset evaluation strategy adopts an in-transaction evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit, abnormal behaviors existing in the transaction are monitored in real time, the transaction is processed in real time, and risk evaluation information is obtained; therefore, by the technical scheme, the risk assessment is performed on the transaction by adopting different preset rule engines and preset assessment strategies under different scenes, and the risk assessment information is acquired; and further, effective intervention on risk transaction is realized by controlling the strategy unit.
In one embodiment, the user terminal comprises one or more of a user account, user equipment and a user IP address;
the risk assessment information corresponds to operations including one or more of release, warning, strong authentication, suspension and blocking;
the transaction risk monitoring module is in butt joint with the intelligent notification platform and the session center;
the intelligent notification platform is used for sending risk reminding information to the user when the corresponding operation modes of the acquired risk assessment information are warning, strong authentication, suspension and blocking; according to the technical scheme, when the corresponding operation mode of the risk assessment information is warning, strong authentication, suspension and blocking, the function of sending risk reminding information to a user is achieved through the intelligent notification platform.
And the conversation center is used for confirming the transaction information by the customer service personnel and the user of the conversation center when the corresponding operation mode of the acquired risk assessment information is suspension. According to the technical scheme, when the operation mode corresponding to the risk assessment information is hung, the function of confirming the transaction information between the customer service personnel and the user is achieved through the session center.
In one embodiment, the system further comprises an offline analysis module;
the off-line analysis module comprises an on-line monitoring database, an off-line analysis database and a report generation unit; the online monitoring database is used for acquiring and storing operation data generated in the operation process of the transaction risk monitoring module; the off-line analysis database is used for extracting operation data from the on-line monitoring database according to a preset time period;
and the report generation unit is used for cutting off the data connection between the online monitoring database and the offline analysis database after the offline analysis database extracts the operation data from the online monitoring database, analyzing and summarizing the operation data in the offline analysis database, and generating a report. In the technical scheme, the storage of the operation data generated in the operation process of the transaction risk monitoring module is realized through the online monitoring database; extracting operation data from the online monitoring database by the offline analysis database according to a preset time period (for example, the preset time period is 60 min); therefore, the data synchronization of the online monitoring database and the offline analysis database is realized; the report generation unit cuts off the data connection between the online monitoring database and the offline analysis database after the offline analysis database extracts the operation data from the online monitoring database, thereby effectively avoiding the defect that the system occupies more resources during simultaneous operation; and the running data in the off-line analysis database is analyzed and summarized, so that the generation of a report is realized according to the running process of the transaction risk monitoring module.
In one embodiment, the system further comprises an internal management module;
the internal management module comprises an operation management unit, a risk monitoring unit, a report management unit and a system management unit; wherein the content of the first and second substances,
the operation management unit is used for configuring preset configuration information, a preset rule engine and a preset evaluation strategy according to the transaction configuration information transmitted by the staff;
the risk monitoring unit is used for acquiring the working information of the transaction risk monitoring module in real time and displaying the working information to the staff;
the risk monitoring unit is also used for analyzing and processing the working information of the current transaction risk monitoring module and transmitting a warning reason to the working personnel when the operation mode corresponding to the risk assessment information is warning;
the report management module is used for summarizing the report generated by the report generation unit, generating report information and displaying the report information to workers;
and the system management module is used for managing the authority of the user side by the staff. In the technical scheme, the configuration of the preset configuration information, the preset rule engine and the preset evaluation strategy is realized according to the transaction configuration information transmitted by the staff through the operation management unit of the internal management module; the real-time acquisition of the working information of the transaction risk monitoring module by the staff is realized through the risk monitoring unit; when the operation mode corresponding to the risk assessment information is warning, analyzing and processing the working information of the current transaction risk monitoring module, and transmitting a warning reason to the working personnel; the report generated by the report generating unit is summarized through the report management module of the internal management module, so that the generation of report information is realized, and the report information is displayed to the staff; and the authority management of the working personnel to the user side is realized through a system management module of the internal management module.
In one embodiment, the control policy unit is configured to analyze the risk assessment information transmitted by the risk assessment unit, and obtain an assessment result in the risk assessment information; extracting factors influencing the evaluation result from the risk evaluation information;
according to a set score rule, carrying out quantization processing on information contained in factors influencing an evaluation result to obtain a numerical value corresponding to the information contained in the factors, and carrying out normalization processing on the numerical value corresponding to the information contained in the factors through a normalization formula to obtain a numerical value corresponding to the factors; obtaining a standard numerical value corresponding to the factor through a factor standardization formula;
setting m numerical values corresponding to information contained in the factors; the factor includes information corresponding to a value of alpha1、α2、……、αmObtaining the maximum value alpha of the numerical valuesmaxAnd a minimum value alphamin；
The value is normalized; alpha is alphaiThe ith numerical value corresponding to the information contained in the factor;
is to alphaiNormalizing the processed numerical value; the normalized formula is then:
to the normalized value
After the averaging processing is carried out, a numerical value A corresponding to the factor is obtained;
A*in order to obtain a standard value after the factor normalization processing is performed on the value a corresponding to the factor, the factor normalization formula is as follows:
acquiring a weight value of a factor influencing an evaluation result by an analytic hierarchy process; acquiring a risk evaluation value corresponding to the risk evaluation information through a risk evaluation formula; the control strategy unit executes a corresponding operation mode according to the risk assessment value corresponding to the risk assessment information;
let A be a value corresponding to a first factor that affects an evaluation result1The second factor corresponds to a value of A2The value corresponding to the third factor is A3(ii) a The values corresponding to the first factors are A1The second factor corresponds to a value of A2The value corresponding to the third factor is A3Performing factor standardization to obtain standard value
And
and obtaining a weight value mu of the first factor influencing the evaluation result by an analytic hierarchy process1A weight value mu of the second factor influencing the evaluation result2And a weight value mu of the third factor influencing the evaluation result3(ii) a The risk assessment value is Y; the risk assessment formula is：
The factors that affect the evaluation result include: one or more of transaction time information, transaction amount information, and transaction account information. In the technical scheme, the risk evaluation information transmitted by the risk evaluation unit is analyzed through the control strategy unit to obtain an evaluation result in the risk evaluation information, and factors influencing the evaluation result in the risk evaluation information are extracted; according to a set score rule, carrying out quantization processing on information contained in factors influencing an evaluation result to obtain a numerical value corresponding to the information contained in the factors, and carrying out normalization processing on the numerical value corresponding to the information contained in the factors through a normalization formula to obtain a numerical value corresponding to the factors; then, the numerical value corresponding to the factor is processed through a factor standardization formula, so that the standard numerical value corresponding to the factor is obtained; acquiring a weight value corresponding to the factor through an analytic hierarchy process, and calculating through a risk assessment formula so as to acquire a risk assessment value; and executing the corresponding operation mode according to the risk assessment value, thereby realizing the function of controlling the strategy unit to execute the corresponding operation mode according to the risk assessment value corresponding to the risk assessment information.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides an internet financial intelligence wind control system which characterized in that includes: the system comprises a data acquisition module and a transaction risk monitoring module; wherein the content of the first and second substances,
the data acquisition module is used for acquiring data in an electronic channel and transmitting the data to the risk monitoring module;
the transaction risk monitoring module comprises a preprocessing engine unit, a statistic engine unit, a risk evaluation unit and a control strategy unit; wherein the content of the first and second substances,
the preprocessing engine unit is used for processing the data transmitted by the data acquisition module according to preset configuration information to acquire processed data;
the statistical engine unit is used for summarizing and counting the behaviors of the user side to generate behavior data;
the risk evaluation unit is used for analyzing and evaluating transactions based on a preset rule engine and a preset evaluation strategy and according to the behavior data generated by the statistics engine unit and the data processed by the preprocessing engine unit, acquiring risk evaluation information and transmitting the risk evaluation information to the control strategy unit;
and the control strategy unit is used for executing corresponding operation according to the risk assessment information transmitted by the risk assessment unit.
2. The system of claim 1,
the data acquisition module comprises a real-time data acquisition unit and a batch data acquisition unit;
the real-time data acquisition unit is in butt joint with the electronic channel integration platform; the electronic channel integration platform is used for transmitting real-time transaction data of an internet bank, a mobile phone bank, an ATM (automatic teller machine) and a POS (point-of-sale) machine to the real-time data acquisition unit;
the real-time data acquisition unit is in butt joint with the bank front-end system through an enterprise service bus; the bank front-end system is used for transmitting the real-time transaction data to the real-time data acquisition unit through the enterprise service bus;
and the batch data acquisition unit is used for extracting the off-line data in the electronic channel through an operation type data storage system.
3. The system of claim 1,
the preprocessing engine unit is used for extracting a sender identifier of each piece of data according to an identifier identification model in the preset configuration information, analyzing the sender identifier of each piece of data, and dividing the data into user-side data and bank-side feedback data;
extracting the IP address of the sending end of each piece of data in the user end data according to the equipment identification model in the preset configuration information; inquiring equipment information matched with the IP address according to the IP address; according to the equipment information, account information for operating equipment corresponding to the equipment information is acquired; marking the equipment information and the account information on each piece of data in the user terminal data respectively;
extracting the bank end IP address of each piece of data in the bank end feedback data according to the bank end identification model in the preset configuration information; acquiring a bank outlet corresponding to the bank end IP address according to the bank end IP address, thereby determining the bank outlet for operating each piece of data in the bank end feedback data, and marking the information of the bank outlet on each piece of data in the bank end feedback data respectively; taking the marked data as the data processed by the preprocessing engine unit;
the identification authentication model acquires a large number of sender identifications corresponding to the user side and sender identifications corresponding to the bank side through a big data technology; analyzing a sender identifier corresponding to a user side and a sender identifier corresponding to a bank side respectively to obtain a first rule of the sender identifier corresponding to the user side and a second rule of the sender identifier corresponding to the bank side; and the preprocessing engine unit extracts the sender identification of each piece of data according to a first rule and a second rule of an identification model, and divides the data into user-side data and bank-side feedback data.
4. The system of claim 1,
the preset evaluation strategy comprises a non-evaluation strategy, a post-evaluation strategy and a post-evaluation strategy;
the non-evaluation policy is that the transaction is not evaluated;
the post evaluation strategy is to monitor whether the transaction has abnormal behavior without intervening the transaction;
and (4) evaluating the strategy in the affairs, namely, handling the transaction in real time when the abnormal behavior is monitored to exist in the transaction.
5. The system of claim 4,
the risk assessment unit further comprises a scene recognition model;
the scene recognition model is used for acquiring scene information of the transaction according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit;
when the scene information of the transaction is a security scene, the preset rule engine adopts a defense rule set based on the security scene, the preset evaluation strategy adopts a non-evaluation strategy, and the transaction is not evaluated;
when the scene information of the transaction is a common transaction scene, the preset rule engine adopts a defense rule set based on the common transaction scene, the preset evaluation strategy adopts a post-evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistic engine unit and the data processed by the preprocessing engine unit, whether abnormal behavior exists in the transaction is monitored, and risk evaluation information is obtained;
when the scene information of the transaction is a fraud scene, the preset rule engine adopts a defense rule set based on the fraud scene, the preset evaluation strategy adopts an in-service evaluation strategy, the transaction is analyzed and evaluated according to the behavior data generated by the statistics engine unit and the data processed by the preprocessing engine unit, the abnormal behavior existing in the transaction is monitored in real time, the transaction is processed in real time, and risk evaluation information is obtained.
6. The system of claim 1,
the user side comprises one or more of a user account, user equipment and a user IP address;
the risk assessment information corresponds to operations including one or more of release, warning, strong authentication, suspension and blocking;
the transaction risk monitoring module is in butt joint with the intelligent notification platform and the session center;
the intelligent notification platform is used for sending risk reminding information to a user when the acquired risk assessment information corresponds to warning, strong authentication, suspension and blocking operation modes;
and the conversation center is used for confirming the transaction information by customer service personnel and a user of the conversation center when the corresponding operation mode of the acquired risk assessment information is suspended.
7. The system of claim 1, further comprising: an offline analysis module;
the off-line analysis module comprises an on-line monitoring database, an off-line analysis database and a report generation unit; the online monitoring database is used for acquiring and storing operation data generated in the operation process of the transaction risk monitoring module; the off-line analysis database is used for extracting the operation data from the on-line monitoring database according to a preset time period;
and the report generation unit is used for cutting off the data connection between the online monitoring database and the offline analysis database after the offline analysis database extracts the operation data from the online monitoring database, analyzing and summarizing the operation data in the offline analysis database, and generating a report.
8. The system of claim 5, further comprising: an internal management module;
the internal management module comprises an operation management unit, a risk monitoring unit, a report management unit and a system management unit; wherein the content of the first and second substances,
the operation management unit is used for configuring the preset configuration information, the preset rule engine and the preset evaluation strategy according to transaction configuration information transmitted by a worker;
the risk monitoring unit is used for acquiring the working information of the transaction risk monitoring module in real time and displaying the working information to a worker;
the risk monitoring unit is also used for analyzing and processing the current working information of the transaction risk monitoring module and transmitting a warning reason to a worker when the operation mode corresponding to the risk assessment information is warning;
the report management module is used for summarizing the report generated by the report generation unit, generating report information and displaying the report information to workers;
and the system management module is used for managing the authority of the user side by the staff.
9. The system of claim 1,
the control strategy unit is used for analyzing the risk assessment information transmitted by the risk assessment unit to obtain an assessment result in the risk assessment information; extracting factors influencing the evaluation result from the risk evaluation information;
according to a set score rule, carrying out quantization processing on information contained in factors influencing the evaluation result to obtain a numerical value corresponding to the information contained in the factors, and carrying out normalization processing on the numerical value corresponding to the information contained in the factors through a normalization formula to obtain a numerical value corresponding to the factors; obtaining a standard numerical value corresponding to the factor through a factor standardization formula;
setting m numerical values corresponding to information contained in the factors; the value corresponding to the information contained in the factor is alpha1、α2、……、αmObtaining the numerical valueMaximum value of (a)maxAnd a minimum value alphamin；
The value is normalized; alpha is alphaiThe ith numerical value corresponding to the information contained in the factors;
is to alphaiNormalizing the processed numerical value; the normalized formula is then:
to the normalized value
After the averaging processing is carried out, a numerical value A corresponding to the factor is obtained;
A*in order to obtain a standard value after the factor normalization processing is performed on the value a corresponding to the factor, the factor normalization formula is as follows:
obtaining a weight value of a factor influencing the evaluation result by an analytic hierarchy process; acquiring a risk assessment value corresponding to the risk assessment information through a risk assessment formula; the control strategy unit executes a corresponding operation mode according to the risk assessment value corresponding to the risk assessment information;
setting the numerical value corresponding to the first factor influencing the evaluation result as A1The second factor corresponds to a value of A2The value corresponding to the third factor is A3(ii) a The values corresponding to the first factors are A1The second factor corresponds to a value of A2The value corresponding to the third factor is A3Performing factor standardization to obtain standard value
And
and obtaining a weight value mu of the first factor influencing the evaluation result by an analytic hierarchy process1A weight value mu of the second factor influencing the evaluation result2A weight value mu of the third factor influencing the evaluation result3(ii) a The risk assessment value is Y; the risk assessment formula is:
the factors that affect the evaluation result include: one or more of transaction time information, transaction amount information, and transaction account information.
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