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CN112541818A - Block chain-based wind control model construction method - Google Patents

Block chain-based wind control model construction method Download PDF

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Publication number
CN112541818A
CN112541818A CN202011547019.XA CN202011547019A CN112541818A CN 112541818 A CN112541818 A CN 112541818A CN 202011547019 A CN202011547019 A CN 202011547019A CN 112541818 A CN112541818 A CN 112541818A
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wind control
control model
module
information
block chain
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顾冰
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Sichuan Xiangyu Jinxin Financial Technology Co ltd
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Sichuan Xiangyu Jinxin Financial Technology Co ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a wind control model construction method based on a block chain, which comprises a collection module, an evaluation module, an audit module and an authorization module, wherein the collection module is connected with the evaluation module, the evaluation module is connected with a generation module, the generation module is connected with the audit module, the audit module is connected with the authorization module, the collection module comprises a collection user information and a collection method, and the collection method comprises the following steps. The wind control model building method based on the block chain is convenient for judging whether a user has a fraudulent behavior, reduces the risk of credit, prevents loss, is convenient for building a wind control model based on the block chain, improves the practicability, improves the butt joint performance of the wind control model and the service demand in work on the basis of the wind control model based on the block chain, and improves the accuracy of the wind control model.

Description

Block chain-based wind control model construction method
Technical Field
The invention relates to the technical field related to wind control models, in particular to a block chain-based wind control model construction method.
Background
The right wind control model of the risk control model is widely applied to credit companies, business can be handled only by performing wind control auditing on a client, along with the development of internet technology, the internet financial industry is also raised along with the development of internet technology, great convenience is brought to people for credit loan, and meanwhile, the credit threshold of a user is also reduced.
The general wind control model building method is inconvenient to judge whether a user has a fraudulent behavior or not, increases the risk of credit, is easy to lose, is inconvenient to build a wind control model based on a block chain, has low practicability, is difficult to perfect aiming at the service requirement in each updating process of the wind control model on the basis of the wind control model based on the block chain, reduces the butt joint performance of the wind control model and the service requirement in the working process, and causes poor accuracy of the wind control model, so that the wind control model building method based on the block chain is provided, and the problems provided in the method are solved.
Disclosure of Invention
The invention aims to provide a wind control model building method based on a block chain, and aims to solve the problems that a general wind control model building method provided in the background technology is inconvenient to judge whether a user has a fraudulent behavior, increases the credit risk, is easy to lose, is inconvenient to build a wind control model based on the block chain, has low practicability, is difficult to perfect aiming at the service requirement in each updating of the wind control model on the basis of the wind control model based on the block chain, reduces the butt joint of the wind control model and the service requirement in work, and is poor in accuracy of the wind control model.
In order to achieve the purpose, the invention provides the following technical scheme: a wind control model building method based on a block chain comprises a collecting module, an evaluating module, an auditing module and an authorizing module, wherein the collecting module is connected with the evaluating module, the evaluating module is connected with a generating module, the generating module is connected with the building module, the building module is connected with the auditing module, and the auditing module is connected with the authorizing module.
Preferably, the collection module includes a collection user information and a collection method, and the collection method includes the following steps:
step 1: acquiring user data through self submission of a user;
step 2: obtaining user data through interface user authorization;
and step 3: by crawling relevant user data from the internet;
and 4, step 4: obtaining user data through information purchase;
and 5: by obtaining user data from a third party, such as an organization of government, bank, etc.;
step 6: and acquiring user data through a black and white list.
Preferably, the evaluation module comprises an evaluation method and an evaluation type.
Preferably, the evaluation method includes evaluating the target by using the evaluation sample, and the evaluation type includes the steps of:
step 1: evaluating personal basic information, wherein the personal basic information comprises names, ages, academic calendars, physical health conditions, family addresses, contact ways, incomes, working properties, unit information, personal social relations, family structure relations, family social status relations, business registration information and the like;
step 2: evaluating personal credit information, wherein the personal credit information comprises historical loans, repayment records, overdue records, bank credit, credit line, sesame credit and the like;
and step 3: evaluating personal consumption information, wherein the personal consumption information comprises bank card consumption level, consumption capacity and high-risk consumption;
and 4, step 4: and evaluating personal business information, wherein the personal business information comprises online retail transaction information, patent information, personal company qualification, land transfer information, pledge information and the like.
Preferably, the generating module comprises the following steps:
step 1: after the user information is evaluated, an evaluation result is obtained;
step 2: and generating the user characteristic identification through the evaluation result.
Preferably, the building block comprises the following steps:
step 1: the characteristic identification contains wind control model data, so that the wind control model data are uploaded to a block chain server;
step 2: building a wind control model based on a block chain in a block chain server by utilizing the user characteristic identification;
and step 3: on the basis of the wind control model based on the block chain, the wind control model can be perfected aiming at the service requirement in each updating, and the butt joint performance of the wind control model and the service requirement in work is improved.
Preferably, the auditing module receives user data, calls a block chain internal wind control model and audits.
Preferably, the auditing module comprises the following steps:
step 1: receiving data information of a user, wherein the data information of the user comprises information required by the user for handling services in advance;
step 2: 3, calling the data of the wind control model in the block chain server according to the information data required by the user for pre-handling the service, and performing the step 3 after the calling is finished;
and step 3: performing wind control examination on user data according to data of a wind control model in the called block chain server;
and 4, step 4: and in the auditing process, the credit of the user is judged through the wind control model and a specific algorithm, and then an auditing result is generated.
Preferably, the authorization module includes an audit success and an audit failure, and the audit success includes a credit for the reservation, and the audit failure includes a refusal.
Compared with the prior art, the invention has the beneficial effects that: the block chain-based wind control model building method is convenient for judging whether a user has a fraudulent behavior, reducing the risk of credit, preventing loss, building a wind control model based on a block chain, and improving the practicability;
1. the system is provided with a collection module and an evaluation module, a large amount of user information can be collected through the collection module, so that the user information can be evaluated and samples can be conveniently collected, the user information is evaluated through the evaluation module, and the weight of the data information of the user is determined, so that whether the information of the user has fraudulent behaviors or not is judged, the credit risk is reduced, and the loss is avoided;
2. the wind control model is provided with a generating module and a building module, the generating module can generate a user characteristic identifier according to a result generated by evaluation, statistics and checking are facilitated, the building module can upload the user characteristic identifier to a block chain of a block chain server, and therefore the wind control model is built, practicability is improved, then on the basis of the wind control model based on the block chain, the wind control model can be perfected according to business requirements in each updating, the butt joint performance of the wind control model and the business requirements in work is improved, and therefore the accuracy of the wind control model is improved;
3. the system is provided with an auditing module and an authorization module, user data applying credit and corresponding data in the wind control model are audited through the auditing module, corresponding auditing results are generated through two wind control results of 'successful auditing' and 'failed auditing' in the authorization module, the 'successful auditing' is given to pre-authorization, the 'failed auditing' is rejected, and the auditing results are authorized, so that the practicability is further improved.
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FIG. 1 is a schematic view of the working process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a wind control model building method based on a block chain comprises a collecting module, an evaluating module, an auditing module and an authorizing module, wherein the collecting module is connected with the evaluating module, the evaluating module is connected with a generating module, the generating module is connected with the building module, the building module is connected with the auditing module, and the auditing module is connected with the authorizing module.
The collection module in fig. 1 includes a collection method and a collection module, and the collection method includes the following steps: step 1: acquiring user data through self submission of a user; step 2: obtaining user data through interface user authorization; and step 3: by crawling relevant user data from the internet; and 4, step 4: obtaining user data through information purchase; and 5: by obtaining user data from a third party, such as an organization of government, bank, etc.; step 6: the user data is acquired through the black and white list, so that a large amount of user information can be collected, and the user information can be evaluated and samples can be collected conveniently;
as in fig. 1, the evaluation module includes an evaluation method and an evaluation type, the evaluation method includes evaluating the target by using the evaluation sample, and the evaluation type includes the steps of: step 1: evaluating personal basic information, wherein the personal basic information comprises names, ages, academic calendars, physical health conditions, family addresses, contact ways, incomes, working properties, unit information, personal social relations, family structure relations, family social status relations, business registration information and the like; step 2: evaluating personal credit information, wherein the personal credit information comprises historical loans, repayment records, overdue records, bank credit, credit line, sesame credit and the like; and step 3: evaluating personal consumption information, wherein the personal consumption information comprises bank card consumption level, consumption capacity and high-risk consumption; and 4, step 4: evaluating personal business information, wherein the personal business information comprises online retail transaction information, patent information, personal company qualification, land transfer information, pledge information and the like, and determining the weight of data information of a user by evaluating user information so as to judge whether the information of the user has fraudulent behaviors, reduce credit risk and avoid loss;
the generation module as in fig. 1 comprises the following steps: step 1: after the user information is evaluated, an evaluation result is obtained; step 2: the user characteristic identification is generated through the evaluation result, the user characteristic identification can be generated through the evaluation result, and the statistical verification is facilitated;
building a module as in fig. 1 comprises the following steps: step 1: the characteristic identification contains wind control model data, so that the wind control model data are uploaded to a block chain server; step 2: the wind control model is built on the basis of the block chain in the block chain server by utilizing the user characteristic identification, the user characteristic identification can be uploaded into the block chain of the block chain server, and therefore the wind control model is built, and the step 3: on the basis of the wind control model based on the block chain, the wind control model can be perfected according to the service requirement in each updating, and the butt joint performance of the wind control model and the service requirement in the work is improved, so that the accuracy of the wind control model is improved, and the practicability is improved;
the auditing module, as in figure 1, comprises the following steps: step 1: receiving data information of a user, wherein the data information of the user comprises information required by the user for handling services in advance; step 2: 3, calling the data of the wind control model in the block chain server according to the information data required by the user for pre-handling the service, and performing the step 3 after the calling is finished; and step 3: the user data can be audited according to the data of the wind control model in the calling block chain server, so that the user data applying credit and the corresponding data in the wind control model can be audited; and 4, step 4: and in the auditing process, the credit of the user is judged through the wind control model and a specific algorithm, and then an auditing result is generated, wherein the authorization module comprises an auditing success and an auditing failure, the auditing success comprises the pre-granting credit, the auditing failure comprises the refusal, and the auditing result is authorized.
The working principle is as follows: when the method for building the block chain-based wind control model is used, firstly, a collection module is used for self-submitting a user, authorizing an interface user, carrying out black and white list, crawling from the Internet and obtaining user data from a third party for information purchase, such as organizations like governments, banks and the like, so as to obtain the user data, thereby collecting a large amount of user information, and then, personal basic information (name, age, academic history, physical health condition, family address, contact way, income, working property, unit information, personal social relationship, family structure relationship, family social status relationship, worker registration information and the like), personal credit information (historical loan, repayment record, overdue record, bank credit investigation, credit line, sesame credit and the like), personal consumption information (bank card consumption level, consumption capacity, high-risk consumption) and personal business information (online retail transaction information, online payment information, and the like are further carried out, Patent information, personal company qualification, land transfer information, pledge information and the like), and collecting samples in the data collecting process to facilitate subsequent evaluation of user data, obtaining an evaluation result after the evaluation is finished, generating a user characteristic identifier from the evaluation result through a generating module to facilitate statistical checking, uploading the wind control model data to a block chain server through a building module due to the fact that the characteristic identifier contains wind control model data, and building a wind control model based on the block chain in the block chain server by utilizing the user characteristic identifier, so that the practicability is improved;
finally, when a user submits a data application credit, the data of the user is received, the data of the user comprises information data required by the pre-transacted business of the user, the data of a wind control model in a block chain server is called according to the information data required by the pre-transacted business of the user, namely, a sample collected in the process of collecting data, after the calling is completed, the data is evaluated by using the model to judge whether the information of the user has fraud behaviors or not, the risk of credit is reduced, and the loss is avoided, wherein income and housing occupy a large proportion in weight, the data of the user can be audited by wind control according to the data of the wind control model in the calling block chain server, the data of the user applying for credit and the corresponding data in the wind control model can be audited, the credit of the user is judged by the wind control model and a specific algorithm in the auditing process, according to different business requirements, two wind control results of 'successful audit' and 'failed audit' are created in an authorization module, then corresponding audit results are generated, finally the authorization module authorizes the audit results, on the basis of a block chain-based wind control model, the wind control model can be perfected aiming at the business requirements in each updating, the butting performance of the wind control model and the business requirements in work is improved, and therefore the accuracy of the wind control model is improved, namely the whole process of the block chain-based wind control model construction method is used.
The standard parts used in the invention can be purchased from the market, the special-shaped parts can be customized according to the description of the specification and the accompanying drawings, the specific connection mode of each part adopts conventional means such as bolts, rivets, welding and the like mature in the prior art, the machinery, parts and equipment adopt conventional models in the prior art, and the circuit connection adopts the conventional connection mode in the prior art, and the details are not described, and the content not described in detail in the specification belongs to the prior art known by persons skilled in the art.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.

Claims (9)

1. A wind control model building method based on a block chain comprises a collection module, an evaluation module, an audit module and an authorization module, and is characterized in that: the collection module is connected with an evaluation module, the evaluation module is connected with a generation module, the generation module is connected with a construction module, the construction module is connected with an audit module, and the audit module is connected with an authorization module.
2. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the collection module comprises a collection user information and a collection method, and the collection method comprises the following steps:
step 1: acquiring user data through self submission of a user;
step 2: obtaining user data through interface user authorization;
and step 3: by crawling relevant user data from the internet;
and 4, step 4: obtaining user data through information purchase;
and 5: by obtaining user data from a third party, such as an organization of government, bank, etc.;
step 6: and acquiring user data through a black and white list.
3. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the evaluation module comprises an evaluation method and an evaluation type.
4. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the evaluation method includes evaluating the target by using the evaluation sample, and the evaluation type includes the steps of:
step 1: evaluating personal basic information, wherein the personal basic information comprises names, ages, academic calendars, physical health conditions, family addresses, contact ways, incomes, working properties, unit information, personal social relations, family structure relations, family social status relations, business registration information and the like;
step 2: evaluating personal credit information, wherein the personal credit information comprises historical loans, repayment records, overdue records, bank credit, credit line, sesame credit and the like;
and step 3: evaluating personal consumption information, wherein the personal consumption information comprises bank card consumption level, consumption capacity and high-risk consumption;
and 4, step 4: and evaluating personal business information, wherein the personal business information comprises online retail transaction information, patent information, personal company qualification, land transfer information, pledge information and the like.
5. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the generation module comprises the following steps:
step 1: after the user information is evaluated, an evaluation result is obtained;
step 2: and generating the user characteristic identification through the evaluation result.
6. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the building block comprises the following steps:
step 1: the characteristic identification contains wind control model data, so that the wind control model data are uploaded to a block chain server;
step 2: building a wind control model based on a block chain in a block chain server by utilizing the user characteristic identification;
and step 3: on the basis of the wind control model based on the block chain, the wind control model can be perfected aiming at the service requirement in each updating, and the butt joint performance of the wind control model and the service requirement in work is improved.
7. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the auditing module receives user data, calls a wind control model in a block chain and audits.
8. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the auditing module comprises the following steps:
step 1: receiving data information of a user, wherein the data information of the user comprises information required by the user for handling services in advance;
step 2: 3, calling the data of the wind control model in the block chain server according to the information data required by the user for pre-handling the service, and performing the step 3 after the calling is finished;
and step 3: performing wind control examination on user data according to data of a wind control model in the called block chain server;
and 4, step 4: and in the auditing process, the credit of the user is judged through the wind control model and a specific algorithm, and then an auditing result is generated.
9. The method for building the wind control model based on the block chain according to claim 1, wherein the method comprises the following steps: the authorization module comprises an audit success and an audit failure, the audit success comprises a pre-authorization message, and the audit failure comprises a rejection.
CN202011547019.XA 2020-12-24 2020-12-24 Block chain-based wind control model construction method Pending CN112541818A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113393317A (en) * 2021-06-10 2021-09-14 罗忠明 Automobile financial loan wind control system based on algorithm, big data and block chain
CN113436006A (en) * 2021-07-07 2021-09-24 中国银行股份有限公司 Loan risk prediction method and device based on block chain
CN113487294A (en) * 2021-07-23 2021-10-08 重庆富民银行股份有限公司 On-line service non-inductive verification method based on list mechanism
CN113706047A (en) * 2021-09-03 2021-11-26 北京十速网络科技有限公司 Personal credit information authenticity evaluation method and system based on block chain technology
CN113793152A (en) * 2021-07-16 2021-12-14 数字驱动(福州)科技有限责任公司 Individual user risk assessment method and system based on Internet account
CN115345734A (en) * 2022-10-19 2022-11-15 山东新科凯邦通信器材有限公司 Industrial chain financial wind control model construction method based on block chain

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CN107330785A (en) * 2017-07-10 2017-11-07 广州市触通软件科技股份有限公司 A kind of petty load system and method based on the intelligent air control of big data
CN110135971A (en) * 2019-04-15 2019-08-16 上海良鑫网络科技有限公司 Assessing credit risks System and method for based on weak variable data
CN110599328A (en) * 2019-09-09 2019-12-20 腾讯科技(深圳)有限公司 Block chain based risk user determination method, device, equipment and storage medium

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CN107330785A (en) * 2017-07-10 2017-11-07 广州市触通软件科技股份有限公司 A kind of petty load system and method based on the intelligent air control of big data
CN110135971A (en) * 2019-04-15 2019-08-16 上海良鑫网络科技有限公司 Assessing credit risks System and method for based on weak variable data
CN110599328A (en) * 2019-09-09 2019-12-20 腾讯科技(深圳)有限公司 Block chain based risk user determination method, device, equipment and storage medium

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113393317A (en) * 2021-06-10 2021-09-14 罗忠明 Automobile financial loan wind control system based on algorithm, big data and block chain
CN113436006A (en) * 2021-07-07 2021-09-24 中国银行股份有限公司 Loan risk prediction method and device based on block chain
CN113793152A (en) * 2021-07-16 2021-12-14 数字驱动(福州)科技有限责任公司 Individual user risk assessment method and system based on Internet account
CN113487294A (en) * 2021-07-23 2021-10-08 重庆富民银行股份有限公司 On-line service non-inductive verification method based on list mechanism
CN113706047A (en) * 2021-09-03 2021-11-26 北京十速网络科技有限公司 Personal credit information authenticity evaluation method and system based on block chain technology
CN115345734A (en) * 2022-10-19 2022-11-15 山东新科凯邦通信器材有限公司 Industrial chain financial wind control model construction method based on block chain

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