CN106600021A - Account stolen probability determination method and apparatus - Google Patents
Account stolen probability determination method and apparatus Download PDFInfo
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- CN106600021A CN106600021A CN201510672587.5A CN201510672587A CN106600021A CN 106600021 A CN106600021 A CN 106600021A CN 201510672587 A CN201510672587 A CN 201510672587A CN 106600021 A CN106600021 A CN 106600021A
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Abstract
The invention provides an account stolen probability determination method and apparatus. The account stolen probability determination method includes obtaining a stolen predictive index for the payment account to be predicted; and determining the stolen probability of the payment account to be predicted with an account stolen probability model according to the stolen predictive index for the payment account to be predicted. The stolen probability of the payment account to be predicted is determined according to the stolen predictive index for the payment account to be predicted, so that whether the user's payment account is easy to be stolen or not can be prompted and the user can be guided to perform the operation for improving the payment account security, and the user experience is improved.
Description
Technical field
The application is related to secure payment technical field, more particularly to a kind of stolen method of determining probability of account and device.
Background technology
With the development of ecommerce, online payment becomes the commonly used means of payment of user, in this case, props up and pays a bill
The safety at family becomes user's focus of attention, but due to the bad use habit of user, for example：Payment is logged in Internet bar
Account, or using payment account purchase virtual goodses etc., or because payment cipher the factor such as uses in multiple websites, very
It is susceptible to the stolen situation of payment account.
But, whether prior art easily stolen to the payment account of user can not be pointed out, it is impossible to guide user to implement
The operation of payment account safety is improved, Consumer's Experience is poor.
The content of the invention
The purpose of the application is intended at least to solve to a certain extent one of technical problem in correlation technique.
For this purpose, first purpose of the application is to propose a kind of stolen method of determining probability of account.The method can basis
The stolen prediction index of payment account to be predicted determines the stolen probability of above-mentioned payment account to be predicted, such that it is able to user's
Whether payment account is easily stolen to be pointed out, and then user can be guided to implement to improve the operation of payment account safety, is carried
High Consumer's Experience.
Second purpose of the application is the determining device for proposing a kind of stolen probability of account.
To achieve these goals, the stolen method of determining probability of the account of the application first aspect embodiment, including：Obtain
The stolen prediction index of payment account to be predicted；According to the stolen prediction index of the payment account to be predicted, using account quilt
Steal the stolen probability that probabilistic model determines the payment account to be predicted.
In the stolen method of determining probability of account of the embodiment of the present application, obtain payment account to be predicted stolen prediction index it
Afterwards, according to the stolen prediction index of above-mentioned payment account to be predicted, using the stolen probabilistic model of account above-mentioned to be predicted is determined
Pay a bill the stolen probability at family, such that it is able to realize that the stolen probability to payment account is predicted, can paying a bill to user
Whether family is easily stolen to be pointed out, and then user can be guided to implement to improve the operation of payment account safety, improves use
Experience at family.
To achieve these goals, the determining device of the stolen probability of the account of the application second aspect embodiment, including：Obtain
Module, for obtaining the stolen prediction index of payment account to be predicted；Determining module, for being obtained according to the acquisition module
Payment account to be predicted stolen prediction index, determine the quilt of the payment account to be predicted using the stolen probabilistic model of account
Steal probability.
In the determining device of the stolen probability of account of the embodiment of the present application, obtain module and obtain the stolen pre- of payment account to be predicted
After surveying index, determining module according to the stolen prediction index of above-mentioned payment account to be predicted, using the stolen probabilistic model of account
Determine the stolen probability of above-mentioned payment account to be predicted, such that it is able to realize that the stolen probability to payment account is predicted, can
Pointed out with whether easily stolen to the payment account of user, and then user can be guided to implement to improve payment account safety
Operation, improve Consumer's Experience.
The aspect and advantage that the application is added will be set forth in part in the description, and partly will from the following description become bright
It is aobvious, or recognized by the practice of the application.
Description of the drawings
The above-mentioned and/or additional aspect of the application and advantage will be apparent from from the following description of the accompanying drawings of embodiments
With it is easy to understand, wherein：
Fig. 1 is the flow chart of the stolen method of determining probability one embodiment of the application account；
Fig. 2 is the flow chart of stolen another embodiment of method of determining probability of the application account；
Fig. 3 is the flow chart of the stolen method of determining probability further embodiment of the application account；
Fig. 4 is the flow chart of the stolen method of determining probability further embodiment of the application account；
Fig. 5 is the structural representation of determining device one embodiment of the stolen probability of the application account；
Fig. 6 is the structural representation of another embodiment of the determining device of the stolen probability of the application account.
Specific embodiment
Embodiments herein is described below in detail, the example of the embodiment is shown in the drawings, wherein identical from start to finish
Or similar label represents same or similar element or the element with same or like function.Retouch below with reference to accompanying drawing
The embodiment stated is exemplary, is only used for explaining the application, and it is not intended that the restriction to the application.Conversely, this Shen
Embodiment please includes all changes, modification and the equivalent fallen in the range of the spirit and intension of attached claims.
Fig. 1 is the flow chart of the stolen method of determining probability one embodiment of the application account, as shown in figure 1, the account
The stolen method of determining probability in family can include：
Step 101, obtains the stolen prediction index of payment account to be predicted.
Wherein, above-mentioned stolen prediction index can include：The use habit of payment account, account security and account make
With environmental information etc., specifically, the use habit of above-mentioned payment account can be：Morning logs in the information such as the frequency；
Above-mentioned account security can be：Whether the digital certificate and/or login password letter such as whether consistent with payment cipher is installed
Breath；Above-mentioned account environmental information can be：Whether in information such as the logged payment accounts in Internet bar.
Certainly, the stolen prediction index is not limited to that above-mentioned stolen prediction index can also treat pre- including above-mentioned
Other safety indexes of payment account are surveyed, it is numerous to list herein.
Step 102, according to the stolen prediction index of above-mentioned payment account to be predicted, is determined using the stolen probabilistic model of account
The stolen probability of above-mentioned payment account to be predicted.
Specifically, after obtaining the stolen prediction index of above-mentioned payment account to be predicted, can be by above-mentioned payment account to be predicted
Stolen prediction index substitute into the stolen probabilistic model of account, determine the stolen probability of above-mentioned payment account to be predicted.
Fig. 2 is the flow chart of stolen another embodiment of method of determining probability of the application account, as shown in Fig. 2 step
Before rapid 102, can also include：
Step 201, obtains the stolen probabilistic model of above-mentioned account.
In the present embodiment, step 101 can be with executed in parallel with step 201, it is also possible to successively perform, the present embodiment pair
Step 101 is not construed as limiting with the execution sequence of step 201, but the present embodiment is held before step 101 with step 201
Behavior is exemplified.
Fig. 3 is the flow chart of the stolen method of determining probability further embodiment of the application account, as shown in figure 3, step
Rapid 201 can be：
Step 301, selects the payment account of predetermined quantity.
Wherein, the size of above-mentioned predetermined quantity can when implementing according to demand of realizing and/or systematic function etc. voluntarily
Setting, the present embodiment is not construed as limiting to the size of above-mentioned predetermined quantity.As an example it is assumed that payment account is Alipay
Account, then can select whole Alipay accounts, it is also possible to selected section Alipay account.
Step 302, sets up the prediction index system of the payment account of above-mentioned predetermined quantity.
Specifically, setting up the prediction index system of the payment account of above-mentioned predetermined quantity can be：According to above-mentioned predetermined number
The safety indexes of the payment account of amount set up the prediction index system of the payment account of above-mentioned predetermined quantity.Wherein, on
Stating safety indexes can include：The use habit of payment account, account security and account use environment information etc..
Specifically, the use habit of above-mentioned payment account can be：Morning logs in the information such as the frequency；Above-mentioned account security
Can be：Whether the information such as whether digital certificate and/or login password consistent with payment cipher are installed；Above-mentioned account environment
Information can be：Whether in information such as the logged payment accounts in Internet bar.
Step 303, generates according to whether the payment account of above-mentioned predetermined quantity occurs stolen and above-mentioned prediction index system
State the stolen probabilistic model of account.
Specifically, generate according to whether the payment account of above-mentioned predetermined quantity occurs stolen and above-mentioned prediction index system
Stating the stolen probabilistic model of account can be：Whether stolen and above-mentioned prediction is occurred according to the payment account of above-mentioned predetermined quantity
Index system, by regression algorithm fitting the stolen probabilistic model of above-mentioned account is obtained.Wherein, above-mentioned regression algorithm can be with
For linear regression and logistic regression (linear regression and logistic regression；Hereinafter referred to as：
Logit) algorithm, naturally it is also possible to which, using other regression algorithms, the present embodiment is not construed as limiting to this.
Specifically, first whether stolen and above-mentioned prediction index system can be occurred according to the payment account of above-mentioned predetermined quantity
Training sample set is set up, wherein, above-mentioned training sample set can be：
In above-mentioned training sample set, xi(i=1,2 ..., are n) each safety indexes in prediction index system, yj
(j=1,2 ..., n) represent above-mentioned predetermined quantity payment account whether occur it is stolen, wherein, yjValue be " 1 " table
Show that payment account occurs stolen, yjValue be " 0 " represent payment account do not occur it is stolen.For example, x11, x12..., x1n
For each safety indexes of account that ID in the payment account of above-mentioned predetermined quantity is 1, y1=1 expression ID is 1 to pay a bill
There is stolen event in family.
Then the stolen probabilistic model of the above-mentioned account of generation is fitted to above-mentioned training sample set using logit algorithms,
The stolen probabilistic model of account of generation can be as shown in formula (1).
Wherein, P for payment account stolen probability, Z=a1x1+a2x2+…+anxn, xi(i=1,2 ..., are n) prediction
Each safety indexes in index system, a1, a2..., anFor known fitting coefficient.
After generating the stolen probabilistic model of above-mentioned account, in step 102 it needs to be determined that during the stolen probability of account to be predicted,
Just the stolen prediction index of above-mentioned payment account to be predicted can be substituted into the quilt that formula (1) calculates acquisition payment account to be predicted
Steal probability.
Fig. 4 is the flow chart of the stolen method of determining probability further embodiment of the application account, as shown in figure 4, step
After 102, can also include：
Step 401, if the stolen probability of above-mentioned payment account to be predicted is more than or equal to predetermined threshold, treats to above-mentioned
The stolen risk of prediction payment account is pointed out.
Specifically, above-mentioned predetermined threshold can be when implementing according to sets itselfs such as demand of realizing and/or systematic functions, this
Embodiment is not construed as limiting to the size of above-mentioned predetermined threshold, for example, above-mentioned predetermined threshold can be 50%.
That is, if the stolen probability of above-mentioned payment account to be predicted were more than or equal to predetermined threshold, could be to
Pointed out using the user of above-mentioned payment account to be predicted, the stolen risk of above-mentioned payment account to be predicted is higher, enters one
Step, can guide above-mentioned user to implement to improve the operation of the payment account safety, the wind stolen to reduce payment account
Danger.
In the stolen method of determining probability of above-mentioned account, after obtaining the stolen prediction index of payment account to be predicted, according to upper
The stolen prediction index of payment account to be predicted is stated, using the stolen probabilistic model of account the quilt of above-mentioned payment account to be predicted is determined
Probability is stolen, such that it is able to realize that the stolen probability to payment account is predicted, can whether easy to the payment account of user
It is stolen to be pointed out, and then user can be guided to implement to improve the operation of payment account safety, improve Consumer's Experience.
Fig. 5 for the stolen probability of the application account determining device one embodiment structural representation, the account in the present embodiment
The determining device of stolen probability can realize the flow process of the application Fig. 1-embodiment illustrated in fig. 4, as shown in figure 5, above-mentioned account
The determining device of stolen probability can include：Obtain module 51 and determining module 52；
Module 51 is obtained, for obtaining the stolen prediction index of payment account to be predicted；Wherein, above-mentioned stolen prediction index
Can include：The use habit of payment account, account security and account use environment information etc., specifically, on
Stating the use habit of payment account can be：Morning logs in the information such as the frequency；Above-mentioned account security can be：Whether
Digital certificate is installed and/or the information such as whether login password consistent with payment cipher；Above-mentioned account environmental information can be：
Whether in information such as the logged payment accounts in Internet bar.
Certainly, the stolen prediction index is not limited to that above-mentioned stolen prediction index can also treat pre- including above-mentioned
Other safety indexes of payment account are surveyed, it is numerous to list herein.
Determining module 52, for according to the stolen prediction index for obtaining the payment account to be predicted that module 51 is obtained, using account
The stolen probabilistic model in family determines the stolen probability of above-mentioned payment account to be predicted.
Specifically, obtain module 51 to obtain after the stolen prediction index of above-mentioned payment account to be predicted, determining module 52 can
So that the stolen prediction index of above-mentioned payment account to be predicted is substituted into into the stolen probabilistic model of account, above-mentioned payment to be predicted is determined
The stolen probability of account.
Fig. 6 is the structural representation of another embodiment of the determining device of the stolen probability of the application account, with the account shown in Fig. 5
The determining device of the stolen probability in family is compared, and difference is to obtain module 51, is additionally operable on determining module 52 determines
Before stating the stolen probability of payment account to be predicted, the stolen probabilistic model of above-mentioned account is obtained.
Wherein, obtaining module 51 can include：Select submodule 511, setting up submodule 512 and generate submodule 513；
Wherein, submodule 511 is selected, for selecting the payment account of predetermined quantity；Wherein, the size of above-mentioned predetermined quantity
Can be when implementing according to sets itselfs such as demand of realizing and/or systematic functions, the present embodiment is to above-mentioned predetermined quantity
Size be not construed as limiting.As an example it is assumed that payment account is Alipay account, then whole Alipays can be selected
Account, it is also possible to selected section Alipay account.
Setting up submodule 512, for setting up the prediction index body of the payment account of the predetermined quantity for selecting submodule 511 to select
System；Wherein, setting up submodule 512, set up specifically for the safety indexes of the payment account according to above-mentioned predetermined quantity
State the prediction index system of the payment account of predetermined quantity.Wherein, above-mentioned safety indexes can include：Payment account
Use habit, account security and account use environment information etc..Specifically, the use habit of above-mentioned payment account
Can be：Morning logs in the information such as the frequency；Above-mentioned account security can be：Whether digital certificate and/or login are installed
The information such as whether password consistent with payment cipher；Above-mentioned account environmental information can be：Whether in the logged payment in Internet bar
The information such as account.
Submodule 513 is generated, it is stolen for whether being occurred according to the payment account of the predetermined quantity for selecting submodule 511 to select
The stolen probabilistic model of above-mentioned account is generated with the prediction index system that setting up submodule 512 is set up.Wherein, submodule 513 is generated,
Whether there is stolen and above-mentioned prediction index system specifically for the payment account according to above-mentioned predetermined quantity, by regression algorithm
Fitting obtains the stolen probabilistic model of above-mentioned account.Wherein, above-mentioned regression algorithm can be logit algorithms, naturally it is also possible to
Using other regression algorithms, the present embodiment is not construed as limiting to this.
Specifically, whether generation submodule 513 first can occur stolen and above-mentioned according to the payment account of above-mentioned predetermined quantity
Prediction index Establishing training sample set, wherein, above-mentioned training sample set can be：
In above-mentioned training sample set, xi(i=1,2 ..., are n) each safety indexes in prediction index system, yj
(j=1,2 ..., n) represent above-mentioned predetermined quantity payment account whether occur it is stolen, wherein, yjValue be " 1 " table
Show that payment account occurs stolen, yjValue be " 0 " represent payment account do not occur it is stolen.For example, x11, x12..., x1n
For each safety indexes of account that ID in the payment account of above-mentioned predetermined quantity is 1, y1=1 expression ID is 1 to pay a bill
There is stolen event in family.
Then generate submodule 513 and the above-mentioned account quilt of generation is fitted to above-mentioned training sample set using logit algorithms
Probabilistic model is stolen, the stolen probabilistic model of account of generation can be as shown in formula (1).
After generating the stolen probabilistic model of above-mentioned account, in determining module 52 it needs to be determined that the stolen probability of account to be predicted
When, it is possible to the stolen prediction index of above-mentioned payment account to be predicted is substituted into into formula (1) and calculates acquisition payment account to be predicted
Stolen probability.
Further, the determining device of the stolen probability of above-mentioned account can also include：
Reminding module 53, for after the stolen probability that determining module 52 determines above-mentioned payment account to be predicted, if on
The stolen probability for stating payment account to be predicted is more than or equal to predetermined threshold, then the risk stolen to above-mentioned payment account to be predicted
Property is pointed out.
Specifically, above-mentioned predetermined threshold can be when implementing according to sets itselfs such as demand of realizing and/or systematic functions, this
Embodiment is not construed as limiting to the size of above-mentioned predetermined threshold, for example, above-mentioned predetermined threshold can be 50%.
If that is, the stolen probability of above-mentioned payment account to be predicted is more than or equal to predetermined threshold, reminding module
53 can to using above-mentioned payment account to be predicted user point out, the stolen risk of above-mentioned payment account to be predicted compared with
Height, further, it is possible to guide above-mentioned user to implement to improve the operation of the payment account safety, to reduce payment account
Stolen risk.
In the determining device of the stolen probability of above-mentioned account, obtain module 51 obtain payment account to be predicted stolen prediction index it
Afterwards, determining module 52 is according to the stolen prediction index of above-mentioned payment account to be predicted, determined using the stolen probabilistic model of account on
State the stolen probability of payment account to be predicted, such that it is able to realize that the stolen probability to payment account is predicted, can to
Whether the payment account at family is easily stolen to be pointed out, and then user can be guided to implement to improve the operation of payment account safety,
Improve Consumer's Experience.
It should be noted that in the description of the present application, term " first ", " second " etc. are only used for describing purpose, and
It is not intended that indicating or implying relative importance.Additionally, in the description of the present application, unless otherwise stated, " multiple "
It is meant that two or more.
In flow chart or here any process described otherwise above or method description are construed as, expression includes one
Or more module, fragment or parts for being used for the code of executable instruction the step of realize specific logical function or process,
And the scope of the preferred implementation of the application includes other realization, wherein order that is shown or discussing can not be pressed,
Including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be by the application's
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each several part of the application can be realized with hardware, software, firmware or combinations thereof.In above-mentioned reality
In applying mode, software that multiple steps or method can in memory and by suitable instruction execution system be performed with storage or
Firmware is realizing.For example, if realized with hardware, and in another embodiment, can be with well known in the art
Any one of row technology or their combination are realizing：With for realizing the logic gates of logic function to data signal
Discrete logic, the special IC with suitable combinational logic gate circuit, programmable gate array
(Programmable Gate Array；Hereinafter referred to as：PGA), field programmable gate array (Field Programmable
Gate Array；Hereinafter referred to as：FPGA) etc..
Those skilled in the art be appreciated that to realize all or part of step that above-described embodiment method is carried is can
Completed with the hardware that correlation is instructed by program, described program can be stored in a kind of computer-readable recording medium,
The program upon execution, including one or a combination set of the step of embodiment of the method.
Additionally, each functional module in the application each embodiment can be integrated in a processing module, or each
Module is individually physically present, it is also possible to which two or more modules are integrated in a module.Above-mentioned integrated module both may be used
To be realized in the form of hardware, it would however also be possible to employ the form of software function module is realized.If the integrated module is with soft
The form of part functional module is realized and as independent production marketing or when using, it is also possible to be stored in an embodied on computer readable
In storage medium.
Storage medium mentioned above can be read only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specific example ",
Or the description of " some examples " etc. means to combine specific features, structure, material or feature that the embodiment or example are described
In being contained at least one embodiment of the application or example.In this manual, the schematic representation of above-mentioned term is differed
Surely identical embodiment or example are referred to.And, the specific features of description, structure, material or feature can be any
One or more embodiments or example in combine in an appropriate manner.
Although embodiments herein has been shown and described above, it is to be understood that above-described embodiment be it is exemplary,
It is not intended that the restriction to the application, one of ordinary skill in the art within the scope of application can be to above-described embodiment
It is changed, changes, replacing and modification.
Claims (14)
1. the stolen method of determining probability of a kind of account, it is characterised in that include：
Obtain the stolen prediction index of payment account to be predicted；
According to the stolen prediction index of the payment account to be predicted, using the stolen probabilistic model of account described to be predicted is determined
Pay a bill the stolen probability at family.
2. method according to claim 1, it is characterised in that described according to the stolen pre- of the payment account to be predicted
Index is surveyed, is determined before the stolen probability of the payment account to be predicted using the stolen probabilistic model of account, also included：
Obtain the stolen probabilistic model of the account.
3. method according to claim 2, it is characterised in that the stolen probabilistic model of the acquisition account includes：
Select the payment account of predetermined quantity；
Set up the prediction index system of the payment account of the predetermined quantity；
Whether stolen and described prediction index system occurs according to the payment account of the predetermined quantity, and to generate the account stolen general
Rate model.
4. method according to claim 3, it is characterised in that whether the payment account according to the predetermined quantity
The stolen and described prediction index system of generation generates the stolen probabilistic model of the account to be included：
Whether stolen and described prediction index system is occurred according to the payment account of the predetermined quantity, is fitted by regression algorithm
Obtain the stolen probabilistic model of the account.
5. the method according to claim 3 or 4, it is characterised in that the payment account for setting up the predetermined quantity
Prediction index system include：
The prediction index of the payment account of the predetermined quantity is set up according to the safety indexes of the payment account of the predetermined quantity
System.
6. method according to claim 5, it is characterised in that the safety indexes include：The use of payment account
Custom, account security and account use environment information.
7. the method according to claim 1-4 any one, it is characterised in that the stolen probabilistic model of the utilization account
After determining the stolen probability of the payment account to be predicted, also include：
If the stolen probability of the payment account to be predicted is more than or equal to predetermined threshold, to the payment account to be predicted
Stolen risk is pointed out.
8. the determining device of the stolen probability of a kind of account, it is characterised in that include：
Module is obtained, for obtaining the stolen prediction index of payment account to be predicted；
Determining module, the stolen prediction index of the payment account to be predicted for being obtained according to the acquisition module, using account
Stolen probabilistic model determines the stolen probability of the payment account to be predicted.
9. device according to claim 8, it is characterised in that
The acquisition module, was additionally operable to before the stolen probability that the determining module determines the payment account to be predicted, obtained
Obtain the stolen probabilistic model of the account.
10. device according to claim 9, it is characterised in that the acquisition module includes：
Submodule is selected, for selecting the payment account of predetermined quantity；
Setting up submodule, for setting up the prediction index system of the payment account of the predetermined quantity that the selection submodule is selected；
Submodule is generated, whether the payment account of the predetermined quantity for selecting according to the selection submodule occurs stolen and institute
The prediction index system for stating setting up submodule foundation generates the stolen probabilistic model of the account.
11. devices according to claim 10, it is characterised in that
The generation submodule, refers to specifically for whether the payment account according to the predetermined quantity occurs stolen and described prediction
Mark system, by regression algorithm fitting the stolen probabilistic model of the account is obtained.
12. devices according to claim 10 or 11, it is characterised in that
The setting up submodule, sets up described predetermined specifically for the safety indexes of the payment account according to the predetermined quantity
The prediction index system of the payment account of quantity.
13. devices according to claim 12, it is characterised in that the safety indexes include：Payment account makes
With custom, account security and account use environment information.
14. devices according to claim 8-11 any one, it is characterised in that also include：
Reminding module, for after the stolen probability that the determining module determines the payment account to be predicted, if described
The stolen probability of payment account to be predicted is more than or equal to predetermined threshold, then the risk stolen to the payment account to be predicted
Pointed out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510672587.5A CN106600021A (en) | 2015-10-16 | 2015-10-16 | Account stolen probability determination method and apparatus |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510672587.5A CN106600021A (en) | 2015-10-16 | 2015-10-16 | Account stolen probability determination method and apparatus |
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| CN106600021A true CN106600021A (en) | 2017-04-26 |
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| CN201510672587.5A Pending CN106600021A (en) | 2015-10-16 | 2015-10-16 | Account stolen probability determination method and apparatus |
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