CN109191096A - A kind of signing risk quantification method withholds risk quantification method, device and equipment - Google Patents

A kind of signing risk quantification method withholds risk quantification method, device and equipment Download PDF

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Publication number
CN109191096A
CN109191096A CN201810958095.6A CN201810958095A CN109191096A CN 109191096 A CN109191096 A CN 109191096A CN 201810958095 A CN201810958095 A CN 201810958095A CN 109191096 A CN109191096 A CN 109191096A
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China
Prior art keywords
information
value
payment account
characteristic value
signing
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CN201810958095.6A
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Chinese (zh)
Inventor
商瑾
孙传亮
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Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
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Alibaba Group Holding Ltd
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Priority to CN201810958095.6A priority Critical patent/CN109191096A/en
Publication of CN109191096A publication Critical patent/CN109191096A/en
Priority to TW108121258A priority patent/TWI707287B/en
Priority to PCT/CN2019/092691 priority patent/WO2020038099A1/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/085Payment architectures involving remote charge determination or related payment systems
    • G06Q20/0855Payment architectures involving remote charge determination or related payment systems involving a third party
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/382Payment protocols; Details thereof insuring higher security of transaction

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  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Engineering & Computer Science (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

Subject description discloses a kind of signing risk quantification method, withhold risk quantification method, device and equipment.This method comprises: obtaining historical information and/or information instantly of contracting before payment account is contracted;Extract the characteristic value of the characteristic value of historical information and/or signing information instantly before payment account is contracted;According to the characteristic value of extraction and corresponding weight, signing risk quantification point is obtained.Obtain at least one of payment account and facility information, environmental information and the consumption information of merchant account;At least one of at least one of the facility information of payment account, environmental information and consumption information facility information corresponding with merchant account, environmental information and consumption information are compared, at least one of facility information comparison result, environmental information comparison result and consumption information comparison result are obtained;The characteristic value of at least one of extraction comparison result;According to the characteristic value of extraction and its corresponding weight, obtain withholding risk quantification point.

Description

A kind of signing risk quantification method withholds risk quantification method, device and equipment
Technical field
This specification is related to technical field of risk control, more particularly, to a kind of signing risk quantification method, withholds risk Quantization method, device and equipment.
Background technique
It is rapid that signing withholds business development, successively derive periodically signing is withheld, immersion signing is withheld, small amount exempt from it is close Signing withholds and first enjoys paying to contract afterwards and withholds.In trade company's surge 98% of signing in 2017, turnover goes up Alipay 117%, market acceptance is good, and as signing withholds the overall development of business, the risk prevention system that signing withholds business is further heavy It wants.It entirely contracts the main flow withheld, is divided into signing and places an order and withhold.Once contracting successfully, link is withheld placing an order, user It does not need to verify again and pays the information such as close, the emphasis of risk quantification is it is necessary to preposition to signing link.For withholding link, also ten thousand It cannot lose vigilance.
Withhold the air control more blank of class business, not systematic solution in industry for signing at present.In every case Information is checked successfully, success of just will be signed.The information such as customer name, card number circulate very extensively in grey industrial chain, are very easy to It is used by bad person, walks signing and withhold to dispose of stolen goods.
Summary of the invention
This specification embodiment provides a kind of signing risk quantification method, withholds risk quantification method, device and equipment.Solution Existing signing of having determined withholds link and does not have systematic risk control solution problem.
In order to solve the above technical problems, this specification embodiment is achieved in that
A kind of signing risk quantification method that this specification embodiment provides, this method comprises:
Obtain the preceding historical information of payment account signing and/or payment account signing information instantly;
Extract the characteristic value of historical information before the payment account is contracted and/or the payment account signing information instantly Characteristic value;
Historical information before the characteristic value of historical information and the payment account are contracted before being contracted according to the payment account Weight and/or the payment account signing weight of the characteristic value of information and payment account signing information instantly instantly, obtain To signing risk quantification point.
One kind that this specification embodiment provides withholds risk quantification method, this method comprises:
Obtain at least one of payment account and facility information, environmental information and the consumption information of merchant account;
By at least one of the facility information of the payment account, environmental information and consumption information and the merchant account At least one of corresponding facility information, environmental information and consumption information are compared, and obtain facility information comparison result, ring At least one of border information comparison result and consumption information comparison result;
Extract at least one in the facility information comparison result, environmental information comparison result and consumption information comparison result The characteristic value of person;
According at least one in the facility information comparison result, environmental information comparison result and consumption information comparison result The characteristic value of person and its corresponding weight obtain withholding risk quantification point.
A kind of signing risk quantification device that this specification embodiment provides, the device include: to obtain module, extraction module With acquisition module;
The acquisition module, for obtaining the preceding historical information of payment account signing and/or payment account signing information instantly;
The extraction module, for extracting the characteristic value and/or the payment of historical information before the payment account is contracted The characteristic value of account signing information instantly;
The acquisition module, characteristic value and the payment account for historical information before being contracted according to the payment account The characteristic value of information and payment account signing are worked as instantly for the weight of historical information and/or payment account signing before contracting The weight of lower information obtains signing risk quantification point.
One kind that this specification embodiment provides withholds risk quantification device, which includes: acquisition module, compares mould Block, extraction module and acquisition module;
The acquisition module, for obtaining facility information, environmental information and the consumption information of payment account and merchant account At least one of;
The comparison module, for by the facility information of the payment account, environmental information and consumption information at least At least one of one facility information corresponding with the merchant account, environmental information and consumption information are compared, and are obtained At least one of facility information comparison result, environmental information comparison result and consumption information comparison result;
The extraction module, for extracting the facility information comparison result, environmental information comparison result and consumption information The characteristic value of at least one of comparison result;
The acquisition module, for according to the facility information comparison result, environmental information comparison result and consumption information The characteristic value of at least one of comparison result and its corresponding weight obtain withholding risk quantification point.
A kind of signing risk quantification equipment that this specification embodiment provides, comprising: memory and processor, it is described to deposit Reservoir stores program, and is configured to execute above-mentioned signing risk quantification method by the processor.
One kind that this specification embodiment provides withholds risk quantification equipment, comprising: memory and processor, it is described to deposit Reservoir stores program, and is configured to be executed by the processor and above-mentioned withholds risk quantification method.
At least one above-mentioned technical solution that this specification embodiment uses can reach following the utility model has the advantages that having erected Whole air control frame;The experience for weakening people, carries out risk identification not against the experience of expert;The quantization for obtaining signing and withholding While dividing, the signing portrait of user is given;The double-point information of payment mechanism and trade company is compared, collaboration is played and makees With generating more data values.
Detailed description of the invention
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only The some embodiments recorded in this specification, for those of ordinary skill in the art, in not making the creative labor property Under the premise of, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram for signing risk quantification method that this specification embodiment provides;
Fig. 2 is a kind of flow diagram for withholding risk quantification method that this specification embodiment provides;
Fig. 4 is a kind of structural schematic diagram for signing risk quantification device that this specification embodiment provides;
Fig. 5 is a kind of structural schematic diagram for withholding risk quantification device that this specification embodiment provides;
Fig. 3 is that the general signing that this specification embodiment provides withholds air control frame;
Fig. 6 is interface schematic diagram of the quantization point greater than 60;
Fig. 7 is the interface schematic diagram that quantization is divided into 30-60;
Fig. 8 is interface schematic diagram of the quantization point less than 30.
Specific embodiment
This specification embodiment provides a kind of signing risk quantification method, withholds risk quantification method, apparatus and equipment.
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation Attached drawing in book embodiment is clearly and completely described the technical solution in this specification embodiment, it is clear that described Embodiment be merely a part but not all of the embodiments of the present application.Based on this specification embodiment, this field Those of ordinary skill's every other embodiment obtained without creative efforts, all should belong to the application The range of protection.
Fig. 1 is a kind of flow diagram for signing risk quantification method that this specification embodiment provides, process signal Figure includes:
Step 105, the preceding historical information of payment account signing and/or payment account signing information instantly are obtained;
In this specification embodiment, the executing subject of the step can set for such as mobile phone, tablet computer, PC terminal It is standby, or server end.
In this specification embodiment, historical information includes payment account history signing habit, branch before payment account is contracted It pays a bill at least one of identity before conflict and payment account are contracted before operation, payment account signing before the signing of family;Payment account Instantly information includes payment account signing time segment information, payment account signing channel information, payment account signing equipment for signing At least one of information and payment account signing environmental information.In practical applications, payment account contract before historical information and Instantly information is not limited to above- mentioned information for payment account signing.Wherein, signing channel information include short message certification, finger print identifying and At least one of face authentication;Facility information of contracting includes device operating system and/or device model;Signing environmental information packet Include IP world and/or LBS environment.
Further, in this specification embodiment, payment account history signing habit includes that payment account is contracted Whether there is or not signings to withhold history and historical behavior performance under same merchant account for the preference and/or payment account for withholding consumption;Branch The preceding operation of family signing of paying a bill includes that payment account changing in special time period ties up mobile phone number, payment account in special time period Interior changes at least one of the deletion record number of close number and payment account in special time period;Before payment account signing Conflict jumps the equipment of performance and payment account in special time period including IP of the payment account in special time period and jumps Performance;Identity includes whether payment account be easy in the high-risk list of signing and/or payment account before payment account is contracted Stolen crowd.Specifically, in this specification embodiment, above-mentioned special time period include but is not limited to 00:00-07:00 and Signing first 3 minutes to when contracting.
Step 110, historical information characteristic value and/or the payment account before the payment account is contracted is extracted to contract instantly Information characteristics value;
In this specification embodiment, historical information characteristic value and/or branch before being contracted using WOE model extraction payment account It pays a bill family signing information characteristics value instantly.In practical applications, the payment account extracted carries out the preference that signing withholds consumption Spending characteristic value is 6, and payment account has signing to withhold history and historical behavior performance 5 under same merchant account, and payment account is 01: It is 3 that changing in the 00-03:00 period, which ties up 4 sub-eigenvalue of mobile phone, and payment account changes in 3 minutes before signing and ties up 1 spy of mobile phone Value indicative is 1, and it is 2 that payment account changes close 4 sub-eigenvalue within the 01:00-03:00 period, 3 minutes before signing of payment account Inside changing close 1 sub-eigenvalue is 1, and 4 several characteristic values of deletion record of the payment account within the 01:00-03:00 period are 5, payment It is 2 that IP of the account within the 01:00-03:00 period, which jumps 2 sub-eigenvalues, and payment account is within the 01:00-03:00 period It is 2 that equipment, which jumps 2 sub-eigenvalues, and payment account is 3 in high-risk name single eigenvalue of contracting, and payment account is that easily stolen crowd is special Value indicative is 3, and it is 3 that the payment account signing time, which is 02:30 characteristic value, and it is 0 that payment account signing channel, which is finger print identifying characteristic value, It is 1 that payment account signing equipment mobile phone, which is iPhone6 characteristic value, and payment account signing environment LBS information is that Beijing characteristic value is 1。
Step 115, it is gone through before the characteristic value of historical information and payment account signing before being contracted according to the payment account The weight of history information and/or the payment account signing characteristic value of information and payment account signing instantly information instantly Weight obtains signing risk quantification point.
In this specification embodiment, by the characteristic value of historical information before the payment account signing of WOE model extraction and its Multiplied result simultaneously is added to obtain first and value by corresponding multiplied by weight;Further, go out payment account using WOE model discrimination It is greater than the characteristic value of corresponding first preset threshold before contracting in the characteristic value of historical information;And/or by the payment of WOE model extraction Multiplied result the corresponding multiplied by weight of information and is added to obtain second and value by account signing instantly;Further, it utilizes WOE model discrimination goes out the characteristic value that payment account signing is greater than corresponding second preset threshold in the characteristic value of information instantly;
In this specification embodiment, payment account carries out signing and withholds the first preset threshold of preference of consumption to be 3, branch Paying a bill, to have signing to withhold history and historical behavior to show the first preset threshold under same merchant account be 3 at family, and payment account is in spy Changing in section of fixing time and tying up the first preset threshold of mobile phone number is 3, and it is default that payment account changes close number first in special time period Threshold value is 3, and payment account deletion record number first threshold in special time period is 3, and payment account is in special time period The first preset threshold of IP number of hops be 1, equipment number of hops first preset threshold of the payment account in special time period It is 2, payment account is 2 in high-risk the first preset threshold of list of contracting, and payment account is easily stolen the first preset threshold of crowd It is 2.
In this specification embodiment, filters out and be greater than corresponding first preset threshold before contracting in the characteristic value of historical information Payment account history signing habit, payment account signing before it is high-risk operation, payment account signing before it is high-risk conflict and branch pay a bill High-risk identity before family is contracted.Specifically, filter out the result is that: payment account carries out signing and withholds the preference feature of consumption Value is 6, and payment account has signing to withhold history and historical behavior performance 5 under same merchant account, and payment account is in 01:00-03: It is 4 that changing in 00 period, which ties up 4 sub-eigenvalue of mobile phone, payment account 4 numbers of the deletion record within the 01:00-03:00 period Characteristic value is 4, and it is 2 that IP of the payment account within the 01:00-03:00 period, which jumps 2 sub-eigenvalues, and payment account is high in signing Name single eigenvalue of endangering is 3, and payment account is that easily stolen crowd characteristic value is 3.
In this specification embodiment, the payment account filtered out carries out signing and withholds the preference characteristic value of consumption to be 6 Corresponding weight is -5, and payment account has signing to withhold history and historical behavior 5 corresponding weights of performance under same merchant account It is -3.2, it is 2.6 that it is 4 corresponding weights that payment account changing within the 01:00-03:00 period, which ties up 4 sub-eigenvalue of mobile phone, branch 4 several characteristic values of deletion record of the family within the 01:00-03:00 period of paying a bill are that 4 corresponding weights are 2.4, and payment account exists It is 1.8 that it is 2 corresponding weights that IP in the 01:00-03:00 period, which jumps 2 sub-eigenvalues, and payment account is in high-risk list of contracting Characteristic value be 3 corresponding weights be 3.3, payment account be easily stolen crowd characteristic value be 3 corresponding weights be 4.3.By WOE The characteristic value that model discrimination goes out is input in Logic Regression Models, and multiplied result is simultaneously added by corresponding multiplied by weight, is obtained It is 0.4 to first and value.
In this specification embodiment, it is 2 that the payment account signing time, which is the second preset threshold of 02:30, payment account label It is 1 that about channel, which is the second preset threshold of finger print identifying, and it is 1 that payment account signing equipment mobile phone, which is the second preset threshold of iPhone6, It is 1 that payment account signing environment LBS information, which is the second preset threshold of Beijing,.
In this specification embodiment, filters out and be greater than corresponding second preset threshold in the characteristic value of information instantly of contracting It is 3 that the payment account signing time, which is 02:30 characteristic value,.
The characteristic value that WOE model discrimination goes out is input in Logic Regression Models, corresponding multiplied by weight and by phase Multiply results added, obtaining second with value is 0.3.
In this specification embodiment, it be 3 corresponding weights is 0.1 that the payment account signing time, which is 02:30 characteristic value,.
In this specification embodiment, if historical information and information instantly of contracting before being signing that step 105 obtains, In step 115, first is added with value 0.4 with second with value 0.3, obtains signing risk quantification and be divided into 0.7.If step 105 obtains What is taken is historical information before contracting, then in step 115, obtains signing risk quantification and be divided into 0.4.If what step 105 obtained is Instantly information obtains signing risk quantification and is divided into 0.3 then in step 115 for signing.
It is highly preferred that taking separately obtained signing risk quantification with 100.If what step 105 obtained is history letter before contracting Information, then the signing risk quantification obtained are divided into 70 instantly for breath and signing;If what step 105 obtained is historical information before contracting, The signing risk quantification then obtained is divided into 40;If what step 105 obtained is information instantly of contracting, obtained signing risk quantification It is divided into 30.
Fig. 2 is a kind of flow diagram for withholding risk quantification method that this specification embodiment provides, process signal Figure includes:
Step 205, at least one in facility information, environmental information and the consumption information of payment account and merchant account is obtained Person;
In this specification embodiment, the executing subject of the step can set for such as mobile phone, tablet computer, PC terminal It is standby, or server end.
In this specification embodiment, the facility information of payment account and merchant account includes device geographical location information And/or use number of devices;Environmental information includes geographical location information and/or IP information;Consumption information includes order number, payment At least one of time and the means of payment.
Step 210, by least one of the facility information of the payment account, environmental information and consumption information with it is described At least one of the corresponding facility information of merchant account, environmental information and consumption information are compared, and obtain facility information ratio At least one of relatively result, environmental information comparison result and consumption information comparison result;
In practical applications, made past 7 days with the associated account 1 of AppleStore and Alipay, account 2 and account 3 As shown in table 1 with number of devices situation, account 1 is 0 using number of devices difference, and account 2 is 3 using number of devices difference, and account 3 makes It is 0 with number of devices difference.
It withholds risk quantification point and to withhold risk as shown in table 1.
Table 1
AppleStore Alipay Withhold risk quantification point Withhold risk
Account 1 Use number of devices 1 Use number of devices 1 15 Safety is withheld
Account 2 Use number of devices 4 Use number of devices 1 84 It is high-risk to withhold
Account 3 Use number of devices 4 Use number of devices 4 28 It is suspicious to withhold
In practical applications, in past one month and the associated account 4 of AppleStore and Alipay, account 5 and account 6 The LBS information occurred respectively is as shown in table 2, and account 4LBS information difference is 0, and account 5LBS information difference is 4, account 6LBS Information difference is 0.
Table 2
AppleStore Alipay Withhold risk quantification point Withhold risk
Account 4 Always used in a city Always used in a city 20 Safety is withheld
Account 5 It is used in 5 cities Always used in a city 88 It is high-risk to withhold
Account 6 It is used in 5 cities It is used in 5 cities 30 It is suspicious to withhold
In practical applications, disappeared respectively past three months with the associated account 7 of AppleStore and Alipay and account 8 The quantity for taking game products is as shown in table 3, and the number differences that account 7 consumes game products are 0, and account 8 consumes game products Number differences are 15.
Table 3
Step 215, it extracts in the facility information comparison result, environmental information comparison result and consumption information comparison result The characteristic value of at least one;
In this specification embodiment, it is using the characteristic value of number of devices difference 0 using account 1 in WOE model extraction table 1 6, account 2 is 4 using the characteristic value of number of devices difference 3, and account 3 is 6 using the characteristic value of number of devices difference 0;Utilize WOE model The characteristic value for extracting account 4LBS information difference 0 in table 2 is 4, and the characteristic value of account 5LBS information difference 4 is 6, account 6LBS letter The characteristic value for ceasing difference 0 is 4;It is using the characteristic value that account 7 in WOE model extraction table 3 consumes the number differences 0 of game products 3, the characteristic value that account 8 consumes the number differences 15 of game products is 8.
Step 220, according in the facility information comparison result, environmental information comparison result and consumption information comparison result The characteristic value of at least one and its corresponding weight, obtain withholding risk quantification point.
In this specification embodiment, using Logic Regression Models by the characteristic value of the facility information comparison result and its Multiplied result simultaneously is added to obtain first and value by corresponding multiplied by weight;Further, go out facility information using WOE model discrimination It is greater than the characteristic value of corresponding first threshold in the characteristic value of comparison result;Described it will be greater than corresponding first using Logic Regression Models Multiplied result is simultaneously added by the corresponding multiplied by weight of the characteristic value of threshold value, obtains first and value;And/or utilize logistic regression Model is by the corresponding multiplied by weight of the characteristic value of the environmental information comparison result and is added multiplied result to obtain second And value;Further, gone out using WOE model discrimination in the characteristic value of environmental information comparison result and be greater than the spy of corresponding second threshold Value indicative;It by the corresponding multiplied by weight of the characteristic value for being greater than corresponding second threshold and will be multiplied using Logic Regression Models Results added obtains second and value;And/or utilize Logic Regression Models by the characteristic value of the consumption information comparison result and its Multiplied result simultaneously is added to obtain third and value by corresponding multiplied by weight;Further, go out consumption information using WOE model discrimination It is greater than the characteristic value of corresponding third threshold value in the characteristic value of comparison result;It described will be greater than corresponding third using Logic Regression Models Multiplied result is simultaneously added by the corresponding multiplied by weight of the characteristic value of threshold value, obtains third and value.
In this specification embodiment, account 1 is 1 using the first threshold of number of devices difference in table 1, and 2 use of account is set The first threshold 2 of standby number difference, account 3 are 2 using the first threshold of number of devices difference;Account 4LBS information difference in table 2 First threshold is 2, and the first threshold of account 5LBS information difference is 3, and the first threshold of account 6LBS information difference is 2;In table 3 The first threshold that account 7 consumes the number differences of game products is 3, and account 8 consumes the first threshold of the number differences of game products Value is 4.
In this specification embodiment, the information gone out using WOE model discrimination is as follows: account 1 uses number of devices difference 0 Characteristic value is 6, and account 2 is 4 using the characteristic value of number of devices difference 3, and account 3 is 6 using the characteristic value of number of devices difference 0;Account The characteristic value of family 5LBS information difference 4 is 6, and the characteristic value of account 6LBS information difference 0 is 4;The number of the consumption game products of account 8 The characteristic value for measuring difference 15 is 8.
In this specification embodiment, in table 1 account 1 using the characteristic value of number of devices difference 0 be 6 corresponding weights be- 1.3, it is 4.7 that account 2, which is 4 corresponding weights using the characteristic value of number of devices difference 3, and account 3 uses the feature of number of devices difference 0 It is -1.8 that value, which is 6 corresponding weights,;It is 1.6 that the characteristic value of account 5LBS information difference 4, which is 6 corresponding weights, in table 2, account The characteristic value of 6LBS information difference 0 is that 4 corresponding weights are -2.3;Account 8 consumes the feature of the number differences 15 of game products Value is that 1 corresponding weight is 0.2.
The characteristic value that WOE model discrimination goes out is input in Logic Regression Models, corresponding multiplied by weight and by phase Multiply results added, obtain first and value be 0.2, second and value is 0.4 and third and value are at least one of 0.2.If step Facility information, environmental information and the consumption information of payment account and merchant account are obtained in 205 simultaneously, then by first and value, Second and value be added with third and value, obtain withholding risk quantification and be divided into 0.8;If payment account is obtained in step 205 simultaneously With the facility information and environmental information of merchant account, then first and value is added with second and value, obtains withholding risk quantification point It is 0.6;If the environmental information and consumption information of payment account and merchant account are obtained in step 205 simultaneously, by the second He Value is added with third and value, is obtained withholding risk quantification and is divided into 0.6;If payment account and trade company are obtained in step 205 simultaneously First and value are then added with third and value by the facility information and consumption information of account, obtain withholding risk quantification and are divided into 0.3; If only obtaining the facility information of payment account and merchant account in step 205, using first and value as withholding risk quantification Point;If only obtaining the environmental information of payment account and merchant account in step 205, using second and value as withholding risk amount Change and divides;If only obtaining the consumption information of payment account and merchant account in step 205, using third and value as withholding risk Quantization point.
It is highly preferred that taking separately the obtained risk quantification that withholds with 100.As shown in fig. 6, withholding risk quantification point is greater than 60 Withhold and withheld to be high-risk, withheld as shown in fig. 7, withholding risk quantification point withholding between 30-60 to be suspicious, such as Fig. 8 institute Show, withholds risk quantification point withholding to withhold safely less than 30.
Fig. 3 is that the general signing that this specification embodiment provides withholds air control frame, to realize that one of Fig. 1 contracts One of risk quantification method and Fig. 2 withhold risk quantification method.For signing link, first layer L1 obtains payment account label About preceding historical information and/or information instantly of contracting;Historical information module in second layer L2 and instantly information module utilize WOE mould Type extracts the characteristic value of the information obtained, and filters out the characteristic value greater than preset threshold;It will be greater than using Logic Regression Models Multiplied result is added by the characteristic value of preset threshold multiplied by its corresponding weight, is obtained the sum value;Signing wind is obtained according to value Danger quantization point (falseness signing risk point);Third layer L3 will contract risk quantification point output to Alipay account and merchant account. For link is withheld, first layer L1 is obtained in facility information, environmental information and the consumption information of payment account and merchant account At least one, and the information that will acquire is made comparisons;Device conflict module, environmental warfare module and consumption punching in second layer L2 Prominent module utilizes the characteristic value of WOE model extraction comparison result, and filters out the characteristic value greater than preset threshold;It is returned using logic Return model to will be greater than the characteristic value of preset threshold multiplied by its corresponding weight, and multiplied result is added, obtains the sum value;According to Value obtains withholding risk quantification point (falseness withholds risk point);Third layer L3 will withhold risk quantification point output to Alipay account And merchant account.
Fig. 4 is a kind of structural schematic diagram for signing risk quantification device that this specification embodiment provides, the structural representation Figure includes: to obtain module 405, extraction module 410 and acquisition module 415;
The acquisition module 405 is believed instantly for obtaining historical information and/or payment account signing before payment account is contracted Breath;
The extraction module 410, for extracting the characteristic value and/or the branch of historical information before the payment account is contracted The characteristic value for family signing information instantly of paying a bill;Specifically for historical information before being contracted using payment account described in WOE model extraction Characteristic value and/or payment account signing information instantly characteristic value.
The acquisition module 415, characteristic value and the payment for historical information before being contracted according to the payment account The weight of historical information and/or the payment account signing characteristic value of information and the payment account label instantly before account is contracted The about weight of information instantly obtains signing risk quantification point.
Further, historical information includes: payment account history signing habit, payment account before the payment account is contracted At least one of identity before conflict and payment account are contracted before operation, payment account signing before signing;The payment account label About information includes: payment account signing time segment information, payment account signing channel information, payment account signing equipment letter instantly At least one of breath and payment account signing environmental information.
Further, the acquisition module 415, being specifically used for will be before payment account signing using Logic Regression Models Multiplied result is simultaneously added to obtain first and value by the corresponding multiplied by weight of the characteristic value of historical information, and/or by the branch Multiplied result the corresponding multiplied by weight of characteristic value of information and is added to obtain second and value by family signing of paying a bill instantly;According to Described first obtains signing risk quantification point with value and/or described second and value.Still further, being directed to the payment account label The characteristic value of about preceding historical information goes out to be greater than using WOE model discrimination the characteristic value of corresponding first preset threshold;It is returned using logic Return model for the corresponding multiplied by weight of characteristic value for being greater than corresponding first preset threshold and be added multiplied result, obtains To first and value;And/or the characteristic value for payment account signing information instantly, go out to be greater than using WOE model discrimination pair Answer the characteristic value of the second preset threshold;Using Logic Regression Models by described greater than the characteristic value for corresponding to the second preset threshold and its Multiplied result is simultaneously added by corresponding multiplied by weight, obtains second and value.
Fig. 5 is a kind of structural schematic diagram for withholding risk quantification device that this specification embodiment provides, the structural representation Figure includes: to obtain module 505, comparison module 510, extraction module 515 and acquisition module 520;
The acquisition module 505, for obtaining facility information, environmental information and the consumption letter of payment account and merchant account At least one of breath;
The comparison module 510, for by the facility information of the payment account, environmental information and consumption information extremely At least one of few one facility information corresponding with the merchant account, environmental information and consumption information are compared, and are obtained At least one of to facility information comparison result, environmental information comparison result and consumption information comparison result;
The extraction module 515, for extracting the facility information comparison result, environmental information comparison result and consumption letter Cease the characteristic value of at least one of comparison result;
The acquisition module 520, for being believed according to the facility information comparison result, environmental information comparison result and consumption The characteristic value and its corresponding weight for ceasing at least one of comparison result obtain withholding risk quantification point.
Further, the facility information includes: device geographical location information and/or using number of devices;The environment Information includes: geographical location information and/or IP information;The consumption information includes: in order number, time of payment and the means of payment At least one.
Further, it is specifically used for extracting the facility information comparison result, environmental information comparison result and consumption information The characteristic value of at least one of comparison result.
Further, the acquisition module 520, specifically for the facility information is compared knot using Logic Regression Models Multiplied result is simultaneously added to obtain first and value by the corresponding multiplied by weight of the characteristic value of fruit, and/or by the environmental information Multiplied result simultaneously is added to obtain second and value by the corresponding multiplied by weight of the characteristic value of comparison result, and/or disappears described Multiplied result is simultaneously added by the corresponding multiplied by weight of the characteristic value of charge information comparison result, obtains third and value;According to institute First is stated to obtain withholding risk quantification point with value, described second and value and at least one of the third and value;Further, For the characteristic value of the facility information comparison result, go out to be greater than the characteristic value of corresponding first threshold using WOE model discrimination;Benefit With Logic Regression Models by the corresponding multiplied by weight of the characteristic value for being greater than corresponding first threshold and by multiplied result phase Add, obtains first and value;And/or the characteristic value for the environmental information comparison result, go out to be greater than pair using WOE model discrimination Answer the characteristic value of second threshold;Utilize the Logic Regression Models power that the characteristic value for being greater than corresponding second threshold is corresponding Heavy phase multiplies and is added multiplied result, obtains second and value;And/or the characteristic value for the consumption information comparison result, benefit Go out to be greater than the characteristic value of corresponding third threshold value with WOE model discrimination;It described will be greater than corresponding third threshold using Logic Regression Models Multiplied result is simultaneously added by the corresponding multiplied by weight of the characteristic value of value, obtains third and value.
A kind of signing risk quantification equipment that this specification embodiment provides, comprising: memory and processor, it is described to deposit Reservoir stores program, and is configured to be executed by the processor and obtains historical information and/or payment before payment account is contracted Account signing information instantly;Extract the characteristic value of historical information and/or payment account signing before the payment account is contracted Instantly the characteristic value of information;It is gone through before the characteristic value of historical information and payment account signing before being contracted according to the payment account The weight of history information and/or the payment account signing characteristic value of information and payment account signing instantly information instantly Weight obtains signing risk quantification point
One kind that this specification embodiment provides withholds risk quantification equipment, comprising: memory and processor, it is described to deposit Reservoir stores program, and is configured to execute facility information, the ring for obtaining payment account and merchant account by the processor At least one of border information and consumption information;It will be in the facility information of the payment account, environmental information and consumption information At least one of at least one facility information corresponding with the merchant account, environmental information and consumption information are compared, Obtain at least one of facility information comparison result, environmental information comparison result and consumption information comparison result;Described in extraction The characteristic value of at least one of facility information comparison result, environmental information comparison result and consumption information comparison result;According to The characteristic value of at least one of the facility information comparison result, environmental information comparison result and consumption information comparison result and Its corresponding weight obtains withholding risk quantification point.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate one A machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element There is also other identical elements in process, method, commodity or equipment.
The above is only the embodiments of this specification, are not limited to this specification.For those skilled in the art For, this specification can have various modifications and variations.All any modifications made within the spirit and principle of this specification, Equivalent replacement, improvement etc., should be included within the scope of the claims of this specification.

Claims (22)

1. a kind of signing risk quantification method, which is characterized in that this method comprises:
Obtain the preceding historical information of payment account signing and/or payment account signing information instantly;
Extract the feature of the characteristic value of historical information before the payment account is contracted and/or the payment account signing information instantly Value;
The weight of historical information before the characteristic value of historical information and the payment account are contracted before being contracted according to the payment account And/or the weight of the payment account signing characteristic value of information and payment account signing instantly information instantly, it is signed About risk quantification point.
2. signing risk quantification method according to claim 1, which is characterized in that
Historical information includes: operation, branch before payment account history signing habit, payment account signing before the payment account is contracted At least one of identity before the preceding conflict of family signing of paying a bill is contracted with payment account;
Payment account signing instantly information include: payment account signing time segment information, payment account signing channel information, At least one of payment account signing facility information and payment account signing environmental information.
3. signing risk quantification method according to claim 2, which is characterized in that described to be contracted according to the payment account The weight of historical information and/or the payment account are contracted instantly before the characteristic value of preceding historical information and the payment account are contracted The weight of the characteristic value of information and payment account signing information instantly, obtaining signing risk quantification point includes:
The corresponding multiplied by weight of characteristic value of historical information is simultaneously before the payment account is contracted using Logic Regression Models Multiplied result is added to obtain first and value, and/or the characteristic value of payment account signing information instantly is corresponding Multiplied result simultaneously is added to obtain second and value by multiplied by weight;It is signed according to described first with value and/or described second and value About risk quantification point.
4. signing risk quantification method according to claim 3, which is characterized in that described to utilize Logic Regression Models by institute It states the corresponding multiplied by weight of characteristic value of historical information before payment account is contracted and is added multiplied result to obtain the first He Multiplied result the corresponding multiplied by weight of characteristic value of information and is added by value and/or payment account signing instantly Include: to second and value
The characteristic value of historical information before contracting for the payment account goes out to be greater than corresponding first using WOE model discrimination default The characteristic value of threshold value;Utilize the Logic Regression Models weight that the characteristic value for being greater than corresponding first preset threshold is corresponding It is multiplied and is added multiplied result, obtain first and value;And/or
For the characteristic value of payment account signing information instantly, is gone out using WOE model discrimination and be greater than corresponding second default threshold The characteristic value of value;Utilize the Logic Regression Models weight phase that the characteristic value for being greater than corresponding second preset threshold is corresponding Multiply and be added multiplied result, obtains second and value.
5. signing risk quantification method according to claim 1, which is characterized in that described to extract the payment account signing The characteristic value of the characteristic value of preceding historical information and/or payment account signing information instantly includes:
The characteristic value of historical information and/or payment account signing are worked as before being contracted using payment account described in WOE model extraction The characteristic value of lower information.
6. one kind withholds risk quantification method, which is characterized in that this method comprises:
Obtain at least one of payment account and facility information, environmental information and the consumption information of merchant account;
At least one of the facility information of the payment account, environmental information and consumption information is corresponding with the merchant account At least one of facility information, environmental information and consumption information be compared, obtain facility information comparison result, environment letter Cease at least one of comparison result and consumption information comparison result;
Extract at least one of the facility information comparison result, environmental information comparison result and consumption information comparison result Characteristic value;
According at least one of the facility information comparison result, environmental information comparison result and consumption information comparison result Characteristic value and its corresponding weight obtain withholding risk quantification point.
7. according to claim 6 withhold risk quantification method, which is characterized in that
The facility information includes: device geographical location information and/or using number of devices;
The environmental information includes: geographical location information and/or I P information;
The consumption information includes: at least one of order number, time of payment and means of payment.
8. according to claim 7 withhold risk quantification method, which is characterized in that described to be compared according to the facility information As a result, the characteristic value and its corresponding weight of at least one of environmental information comparison result and consumption information comparison result, obtains Include: to risk quantification point is withheld
It by the corresponding multiplied by weight of the characteristic value of the facility information comparison result and will be multiplied using Logic Regression Models Results added obtains first and value, and/or simultaneously by the corresponding multiplied by weight of the characteristic value of the environmental information comparison result Multiplied result is added to obtain second and value, and/or the weight that the characteristic value of the consumption information comparison result is corresponding It is multiplied and is added multiplied result to obtain third and value;According to described first and value, described second and value and the third and value At least one of obtain withholding risk quantification point.
9. according to claim 8 withhold risk quantification method, which is characterized in that described to utilize Logic Regression Models by institute It states the corresponding multiplied by weight of characteristic value of facility information comparison result and multiplied result is added to obtain first and value, and/ Or by the corresponding multiplied by weight of the characteristic value of the environmental information comparison result and multiplied result is added to obtain the second He Value, and/or by the corresponding multiplied by weight of the characteristic value of the consumption information comparison result and be added to obtain by multiplied result Third and value include:
For the characteristic value of the facility information comparison result, go out to be greater than the feature of corresponding first threshold using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding first threshold and using Logic Regression Models by being multiplied Fruit is added, and obtains first and value;And/or
For the characteristic value of the environmental information comparison result, go out to be greater than the feature of corresponding second threshold using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding second threshold and using Logic Regression Models by being multiplied Fruit is added, and obtains second and value;And/or
For the characteristic value of the consumption information comparison result, go out to be greater than the feature of corresponding third threshold value using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding third threshold value and using Logic Regression Models by being multiplied Fruit is added, and obtains third and value.
10. according to claim 9 withhold risk quantification method, which is characterized in that described to extract the facility information ratio The characteristic value of at least one of relatively result, environmental information comparison result and consumption information comparison result includes:
Using in facility information comparison result, environmental information comparison result described in WOE model extraction and consumption information comparison result The characteristic value of at least one.
11. a kind of signing risk quantification device, which is characterized in that the device includes: to obtain module, extraction module and acquisition mould Block;
The acquisition module, for obtaining the preceding historical information of payment account signing and/or payment account signing information instantly;
The extraction module, for extracting the characteristic value of historical information and/or the payment account before the payment account is contracted The characteristic value of signing information instantly;
The acquisition module is contracted for the characteristic value of historical information before being contracted according to the payment account and the payment account The characteristic value of information and payment account signing are believed instantly instantly for the weight of preceding historical information and/or payment account signing The weight of breath obtains signing risk quantification point.
12. signing risk quantification device according to claim 11, which is characterized in that
Historical information includes: operation, branch before payment account history signing habit, payment account signing before the payment account is contracted At least one of identity before the preceding conflict of family signing of paying a bill is contracted with payment account;
Payment account signing instantly information include: payment account signing time segment information, payment account signing channel information, At least one of payment account signing facility information and payment account signing environmental information.
13. signing risk quantification device according to claim 12, which is characterized in that the acquisition module is specifically used for The corresponding multiplied by weight of characteristic value of historical information and by phase before the payment account is contracted using Logic Regression Models Multiply results added and obtain first and value, and/or the weight that the characteristic value of payment account signing information instantly is corresponding It is multiplied and is added multiplied result to obtain second and value;Signing wind is obtained with value and/or described second and value according to described first Danger quantization point.
14. signing risk quantification device according to claim 13, which is characterized in that described to utilize Logic Regression Models Multiplied result simultaneously is added to obtain first by the corresponding multiplied by weight of characteristic value of the preceding historical information of payment account signing And value, and/or by the corresponding multiplied by weight of the characteristic value of payment account signing information instantly and by multiplied result phase Add to obtain second and value include:
The characteristic value of historical information before contracting for the payment account goes out to be greater than corresponding first using WOE model discrimination default The characteristic value of threshold value;Utilize the Logic Regression Models weight that the characteristic value for being greater than corresponding first preset threshold is corresponding It is multiplied and is added multiplied result, obtain first and value;And/or
For the characteristic value of payment account signing information instantly, is gone out using WOE model discrimination and be greater than corresponding second default threshold The characteristic value of value;Utilize the Logic Regression Models weight phase that the characteristic value for being greater than corresponding second preset threshold is corresponding Multiply and be added multiplied result, obtains second and value.
15. signing risk quantification device according to claim 14, which is characterized in that the extraction module is specifically used for The characteristic value of historical information and/or payment account signing are believed instantly before being contracted using payment account described in WOE model extraction The characteristic value of breath.
16. one kind withholds risk quantification device, which is characterized in that described device includes: acquisition module, and comparison module extracts mould Block and acquisition module;
The acquisition module, in facility information, environmental information and the consumption information for obtaining payment account and merchant account At least one;
The comparison module, for by least one of the facility information of the payment account, environmental information and consumption information At least one of facility information corresponding with the merchant account, environmental information and consumption information are compared, and obtain equipment At least one of information comparison result, environmental information comparison result and consumption information comparison result;
The extraction module compares for extracting the facility information comparison result, environmental information comparison result and consumption information At least one of as a result characteristic value;
The acquisition module, for being compared according to the facility information comparison result, environmental information comparison result and consumption information At least one of as a result characteristic value and its corresponding weight obtain withholding risk quantification point.
17. according to claim 16 withhold risk quantification device, which is characterized in that
The facility information includes: device geographical location information and/or using number of devices;
The environmental information includes: geographical location information and/or I P information;
The consumption information includes: at least one of order number, time of payment and means of payment.
18. according to claim 17 withhold risk quantification device, which is characterized in that the acquisition module is specifically used for Using Logic Regression Models by the corresponding multiplied by weight of the characteristic value of the facility information comparison result and by multiplied result Addition obtains first and value, and/or by the corresponding multiplied by weight of the characteristic value of the environmental information comparison result and by phase Multiply results added and obtains second and value, and/or the multiplied by weight that the characteristic value of the consumption information comparison result is corresponding And multiplied result is added to obtain third and value;According in described first and value, described second and value and the third and value At least one obtains withholding risk quantification point.
19. according to claim 18 withhold risk quantification device, which is characterized in that described to utilize Logic Regression Models Multiplied result simultaneously is added to obtain first and value by the corresponding multiplied by weight of the characteristic value of the facility information comparison result, And/or by the corresponding multiplied by weight of the characteristic value of the environmental information comparison result and multiplied result is added to obtain second And value, and/or by the corresponding multiplied by weight of the characteristic value of the consumption information comparison result and be added multiplied result Include: to third and value
For the characteristic value of the facility information comparison result, go out to be greater than the feature of corresponding first threshold using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding first threshold and using Logic Regression Models by being multiplied Fruit is added, and obtains first and value;And/or
For the characteristic value of the environmental information comparison result, go out to be greater than the feature of corresponding second threshold using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding second threshold and using Logic Regression Models by being multiplied Fruit is added, and obtains second and value;And/or
For the characteristic value of the consumption information comparison result, go out to be greater than the feature of corresponding third threshold value using WOE model discrimination Value;It is tied the corresponding multiplied by weight of the characteristic value for being greater than corresponding third threshold value and using Logic Regression Models by being multiplied Fruit is added, and obtains third and value.
20. according to claim 19 withhold risk quantification device, which is characterized in that the extraction module is specifically used for Using in facility information comparison result, environmental information comparison result described in WOE model extraction and consumption information comparison result extremely The characteristic value of few one.
21. a kind of signing risk quantification equipment, comprising: memory and processor, the memory stores program, and is matched It is set to and signing risk quantification method described in any one of 1-5 is required as the processor perform claim.
22. one kind withholds risk quantification equipment, comprising: memory and processor, the memory stores program, and is matched It is set to and is required to withhold risk quantification method described in any one of 6-10 as the processor perform claim.
CN201810958095.6A 2018-08-22 2018-08-22 A kind of signing risk quantification method withholds risk quantification method, device and equipment Pending CN109191096A (en)

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