CN106096974A - A kind of anti-cheat method for shopping at network and system - Google Patents
A kind of anti-cheat method for shopping at network and system Download PDFInfo
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Abstract
The present invention provides a kind of anti-cheat method for shopping at network, including the shopping at network record obtaining user；Shop access attribute and user's shopping property of described user is obtained according to described shopping at network record；Shop access attribute according to described user and user's shopping property and the weight coefficient of correspondence, calculate user and practise fraud index；User is practised fraud index with preset first threshold compared with, if described user practises fraud index more than preset first threshold, it is determined that user for shopping at network cheating user.By analyzing shop access attribute and the shopping property of customers, it is accurately positioned out and there is the user that brush single file is, by carrying out the management such as shielding to having the user that brush single file is, can effectively contain that brush single file is the harm causing shopping at network, reach to purify network shopping environment, improve the purpose of the credibility of electricity business's platform.
Description
Technical field
The present invention relates to technical field of electronic commerce, be specifically related to a kind of anti-cheat method for shopping at network and be
System.
Background technology
In recent years, shopping at network has become as a kind of important shopping way of consumer, due to shopping at network convenience,
Economy, increasing people hanker after shopping at network.But network virtual, consumer cannot experience business truly
The evaluation of product material, quality, the most most of shopping at network buyer Primary Reference difference shop commodity when picking commodities and pin
Amount.Therefore, along with the rise of shopping at network, brush singly becomes a universal problem in shopping at network, and brush singly refers to electronics
Seller's payment in shopping asks someone to disguise oneself as client, improves the sales volume of commodity with the shopping way mixed the spurious with the genuine, thus improves on-line shop
The false sales behavior of ranking.Single by brush, the sales volume of the commodity in shop increases, and shop can also obtain the best
Degree of commenting, and obviously deliver wrong information to buyer through brushing single Sales Volume of Commodity with shop evaluation, mislead consumer
Purchasing behavior, serious threat arrived flatbed electricity business website prestige in the minds of consumer, and, the business that real client buys
Product, also due to there are more quality problems in the existence that brush single file is.
How to identify that the brush single file in network shopping is, thus ensure Sales Volume of Commodity in shopping at network, shop evaluation, user
The verity of review information and objectivity, be e-commerce field problem demanding prompt solution.
Summary of the invention
The technical problem to be solved be for prior art in the presence of drawbacks described above, it is provided that a kind of for
The anti-cheat method of shopping at network and system, identify that there is brush single file in shopping at network is present in prior art in order to solving
User and the problem of retail shop.
For achieving the above object, the present invention provides a kind of anti-cheat method for shopping at network, including:
Obtain the shopping at network record of user；
Shop access attribute and user's shopping property of described user is obtained according to described shopping at network record；
Shop access attribute according to described user and user's shopping property and the weight coefficient of correspondence, calculate user's cheating
Index；
User is practised fraud index with preset first threshold compared with, if described user practises fraud index more than preset first
Threshold value, it is determined that user is shopping at network cheating user.
Preferably, the described shopping at network record obtaining user, including: obtain the net of the user using same hardware information
Network shopping record, the user of described use same hardware information includes using identical media access control address (MAC Address)
Or the user of identical International Mobile Station Equipment Identification (IMEI).
Preferably, described shop access attribute includes one of or combination in any: user stop in shop time
Between, with shop trading volume, similar commodity shop visit capacity；
Described user's shopping property includes one of or combination in any: number of times of averagely doing shopping, commercial articles searching mode,
Confirm time of receiving, shopping frequency.
Preferably, after judging that user is shopping at network cheating user, described method also includes: obtain shopping at network
The conclusion of the business record in the shop that cheating user bought；Strike a bargain attribute and business according to the user that the described record that strikes a bargain calculates described shop
Product conclusion of the business attribute, the described user attribute that strikes a bargain includes that user strikes a bargain conversion ratio, and described user strikes a bargain conversion ratio for producing in shop
Ratio between user number and the user number accessing shop of raw purchasing behavior；Described commodity conclusion of the business attribute includes that commodity become
Handing over rate of increase, described commodity conclusion of the business rate of increase is the conclusion of the business of the conclusion of the business increment of commodity and default similar commodity in described shop
Ratio between increment；User according to described shop strikes a bargain attribute and commodity conclusion of the business attribute and the weight coefficient of correspondence, meter
Calculate shop cheating index；By described shop cheating index compared with the Second Threshold preset, if described shop cheating index is big
In described Second Threshold, it is determined that shop is shopping at network cheating shop.
Preferably, the described user attribute that strikes a bargain also includes: wireless side accounting, described wireless side accounting refers to user in shop
Use the conclusion of the business number of times of wireless client and the ratio of all purchase conclusion of the business total degrees.
The present invention also provides for a kind of anti-cheating system for shopping at network, including:
Input module, for obtaining the shopping at network record of user, specifically for obtaining the use using same hardware information
The shopping at network record at family, the user of described use same hardware information includes using identical media access control address (MAC
Address) or the user of identical International Mobile Station Equipment Identification (IMEI), it is additionally operable to obtain what shopping at network cheating user bought
The conclusion of the business record in shop.
Attribute module, for obtaining shop access attribute and user's shopping of described user according to described shopping at network record
Attribute, includes one of or combination in any specifically for obtaining described shop access attribute: user stops in shop
Time, with shop trading volume, similar commodity shop visit capacity；And specifically for obtain described user's shopping property include following its
One of or combination in any: number of times of averagely doing shopping, commercial articles searching mode, confirm receive the time, shopping frequency；It is additionally operable to according to institute
Stating the record that strikes a bargain to calculate the user in described shop and strike a bargain attribute and commodity conclusion of the business attribute, the described user attribute that strikes a bargain includes that user becomes
Handing over conversion ratio, the described user conversion ratio that strikes a bargain is to produce the user number of purchasing behavior and the user people accessing shop in shop
Ratio between number；Described commodity conclusion of the business attribute includes commodity conclusion of the business rate of increase, and described commodity conclusion of the business rate of increase is described shop
Ratio between the conclusion of the business increment of interior commodity with the conclusion of the business increment of default similar commodity；It is additionally operable to obtain wireless side account for
Ratio, in described wireless side accounting refers to shop, user uses the conclusion of the business number of times of wireless client and all purchase conclusion of the business total degrees
Ratio.
Index module, for the shop access attribute according to described user and the weight system of user's shopping property and correspondence
Number, calculates user and practises fraud index, is additionally operable to the user according to described shop and strikes a bargain attribute and commodity conclusion of the business attribute and the power of correspondence
Weight coefficient, calculates shop cheating index.
Output module, for user practised fraud index compared with default first threshold, the index if described user practises fraud
More than the first threshold preset, it is determined that user is shopping at network cheating user, is additionally operable to described shop cheating index with pre-
If Second Threshold compare, if described shop cheating index is more than described Second Threshold, it is determined that shop is that shopping at network is made
Fraud shop.
Anti-cheat method for shopping at network provided by the present invention and system, by analyzing the shop of customers
Paving access attribute and shopping property, is accurately positioned out and has the user that brush single file is, by entering having the user that brush single file is
Row shieldings etc. manage, and can effectively contain that brush single file is the harm causing shopping at network, and brush single user is purchased by the present invention
The shop bought is further analyzed, and by analyzing the shop conclusion of the business attribute in shop and user strikes a bargain attribute, finds out and has
The shop that brush single file is, is reduced the management of credit rating etc., reaches to purify network shopping environment, improve electricity business by shop single to brush
The purpose of the credibility of platform.
Accompanying drawing explanation
For the technical scheme in the clearer explanation embodiment of the present invention, in embodiment being described below required for make
Accompanying drawing do and introduce simply, it should be apparent that, the accompanying drawing in describing below is some embodiments of the present invention, for ability
From the point of view of the those of ordinary skill of territory, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
The schematic flow sheet of the anti-cheat method first embodiment for shopping at network that Fig. 1 provides for the present invention；
The schematic flow sheet of anti-cheat method the second embodiment for shopping at network that Fig. 2 provides for the present invention；
The anti-cheating system structural representation for shopping at network that Fig. 3 provides for the present invention.
Detailed description of the invention
For making those skilled in the art be more fully understood that technical scheme, below in conjunction with the accompanying drawings with embodiment to this
Invention is described in further detail.Obviously, described embodiment is a part of embodiment of the present invention rather than whole enforcement
Example.Based on the embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
Every other embodiment, broadly falls into the scope of protection of the invention.
The schematic flow sheet of the anti-cheat method first embodiment for shopping at network that Fig. 1 provides for the present invention, such as Fig. 1
The shown anti-cheat method first embodiment for shopping at network comprises the steps:
Step S101, obtains the shopping at network record of user；
Concrete, when obtaining the shopping at network record of user, owing to brush single user is frequently by using virtual ip address, void
Intending the modes such as VPN uses the identical physical equipment different user of simulation to buy, thus improves the disguise that brush is single, because of
This, the present invention provides a kind of preferably mode to be to obtain the shopping at network record of the user using same hardware information, described in make
Include using identical media access control address (MAC Address) or identical international movement to set with the user of same hardware information
The user of standby mark (IMEI).In concrete implementation mode, can be by the way of reading hardware information, as being provided with shopping
The user of the digital certificate of website, in that context it may be convenient to read hardware information.
Step S102, obtains the shop access attribute of described user according to described shopping at network record and user does shopping genus
Property；
Concrete, whether it is brush single user for analyzing user, needs to access from user behavior and user's generation in shop
Purchasing behavior two aspect be analyzed, be i.e. analyzed in terms of shop access attribute and user's shopping property two.
Described shop access attribute includes one of or combination in any:
User is in shop residence time: user's time of staying before shop produces purchasing behavior, due to brush single user
The commodity sometimes referred as reserved bought, it is the shortest that it buys the front time of staying in shop, therefore, when one produces purchase row
For shop time of staying of user too short or during less than certain mean residence time preset, counted brush single user
Consider scope.
With shop trading volume: owing to the choice of shopping at network is big, the purchase of user excessively will not be concentrated in a shop,
If user is when the ratio of shop purchase commodity is higher than a default ratio, that is listed in brush single user considers model
Enclose.
Similar commodity shop visit capacity: consumption habit based on user, the most generally has what commodity got a good buy by shopping around to purchase
Buying behavior, brush single user then will not lose time to compare, therefore using the visit capacity in shop, similar commodity place as brush but
User considers index.
Described user's shopping property includes one of or combination in any:
Averagely do shopping number of times: any commodity have certain use cycle, if the user while average in the time period
Shopping number of times has exceeded a normal threshold value, is that the probability of brush single user is relatively big, therefore lists number of times of averagely doing shopping in brush
Single user consider scope.
Commercial articles searching mode: owing to brush single user typically directly uses the mode of commodity web page interlinkage to obtain the letter of commodity
Breath, or find commodity by the way of the search of full name accurately, the most whether searched by the way of search of diversification
The commodity of rear purchase, that lists brush single user in considers scope.
Confirm to receive the time: in the purchasing behavior of brush single user, in existence stream information, commodity the most do not arrive, but use
The situation received in family, accordingly, it would be desirable to consider really acknowledging receipt of ETCD estimated time of commencing discharging in user's purchasing behavior.
Shopping frequency: owing to the purchasing behavior of brush single user is the most excessively concentrated, the interval between twice shopping is too short, because of
This, need to consider the shopping frequency of user.
It is understood that above-mentioned shop access attribute and user's shopping property, need to set according to the actual requirements difference
Threshold value or scope compare, as within normal range, be then not counted in the scope of considering and carry out next step analysis.
Step S103, according to the shop access attribute of described user and user's shopping property and the weight coefficient of correspondence, meter
Calculate user to practise fraud index；
Concrete, set different weight coefficients for shop access attribute with user's shopping property, as can be according to commodity
Character different weight coefficients is set so that different attributes calculate user practise fraud index result in play due work
With.
Step S104, user is practised fraud index with preset first threshold compared with, if described user practises fraud, index is more than
The first threshold preset, it is determined that user is shopping at network cheating user.
Concrete, first threshold can be set according to practical situation, the cheating index of user is more than the first threshold preset
, it is defined as brush single user.
The anti-cheat method for shopping at network that the present embodiment is provided, it is possible to access behavior and business from the shop of user
Product purchasing behavior is set out, and based on the comprehensive analysis being to brush single file, sets and different consider the attribute that brush single file is and carry out
Consider, it is possible to orient the user that brush is single accurately, it is simple to shopping at network platform carries out the management such as shielding to brush single user, purify
The environment of shopping at network, improves the credit worthiness of shopping at network platform.
The schematic flow sheet of anti-cheat method the second embodiment for shopping at network that Fig. 2 provides for the present invention, such as Fig. 2
Shown anti-cheat method the second embodiment for shopping at network includes:
Step S201, obtains the conclusion of the business record in the shop that shopping at network cheating user bought.
Concrete, that one determines according to embodiments of the present invention shopping at network cheating user, can further analyze
Cheating shop.The commodity bought due to shopping at network cheating user, it is also possible to normal purchase rather than brush are single, therefore,
In needs further its shop bought of extraction, the conclusion of the business record of all commodity is analyzed, and gets rid of the shop of normal purchase
Paving, finds out the single shop of brush.
Step S202, strikes a bargain attribute and commodity conclusion of the business attribute according to the user that the described record that strikes a bargain calculates described shop.
Concrete, the described user attribute that strikes a bargain includes that user strikes a bargain conversion ratio, and described user strikes a bargain conversion ratio in shop
Ratio between user number and the user number accessing shop of interior generation purchasing behavior, if there is brush single file in a shop
Can directly place an order purchase for, brush single user, conclusion of the business ratio of the single commodity of its brush typically can be the highest, therefore, is listed in brush single
Shop consider scope.
Described commodity conclusion of the business attribute includes commodity conclusion of the business rate of increase, and described commodity conclusion of the business rate of increase is commodity in described shop
Conclusion of the business increment and the conclusion of the business increment of default similar commodity between ratio, it is generally the case that after commodity are reached the standard grade, its become
The trend that friendship amount helically rises, as the sales volume of commodity occurs that an amplification suddenly is excessive, is just to brush the probability of single commodity
Very big, accordingly, it is that probability is the biggest that shop exists brush single file, and therefore, that picks up the single shop of brush considers scope.
Preferably, the attribute that strikes a bargain of user described in the present embodiment also includes:
Wireless side accounting, in described wireless side accounting refers to shop, user uses the conclusion of the business number of times of wireless client with all
Buy the ratio of conclusion of the business total degree, owing to wireless client occupies certain ratio in the daily purchasing behavior of user, one
If its ratio that mode is wireless client bought of commodity is excessive or too small, all there is the probability that brush is single, therefore by nothing
What line end accounting listed Shua Dan retail shop in considers scope.
Step S203, strikes a bargain attribute and commodity conclusion of the business attribute and the weight coefficient of correspondence according to the user in described shop, meter
Calculate shop cheating index.
Concrete, according to different property values, set weight coefficient in conjunction with practical situation, so that different property values is to shop
Paving cheating index produces due impact.
Step S204, by described shop cheating index compared with the Second Threshold preset, if described shop cheating index
More than described Second Threshold, it is determined that shop is shopping at network cheating shop.
The anti-cheat method for shopping at network that the present embodiment is provided, it is possible on the basis determining brush single user
On, by the conclusion of the business record in the shop that brush single user was bought is analyzed, by the conclusion of the business attribute to the commodity in shop
With the analysis of the conclusion of the business attribute of user, determine that there is the shop that brush single file is, in order to shopping at network platform shop single to brush is entered
The management such as row degree of lowering credit, purify the environment of shopping at network, improve the credit worthiness of shopping at network platform.
The anti-cheating system structural representation for shopping at network that Fig. 3 provides for the present invention.
Input module 301, for obtaining the shopping at network record of user, uses same hardware information specifically for obtaining
The shopping at network record of user, the user of described use same hardware information includes using identical media access control address
(MAC Address) or the user of identical International Mobile Station Equipment Identification (IMEI), be additionally operable to obtain shopping at network cheating user and buy
The conclusion of the business record in the shop crossed.
Attribute module 302, for obtaining shop access attribute and the user of described user according to described shopping at network record
Shopping property, includes one of or combination in any specifically for obtaining described shop access attribute: user stops in shop
Time of staying, with shop trading volume, similar commodity shop visit capacity；And specifically for obtain described user's shopping property include with
Lower one of them or combination in any: number of times of averagely doing shopping, commercial articles searching mode, confirm time of receiving, shopping frequency；It is additionally operable to root
The user calculating described shop according to the described record that strikes a bargain strikes a bargain attribute and commodity conclusion of the business attribute, and the described user attribute that strikes a bargain includes using
Family conclusion of the business conversion ratio, the described user conversion ratio that strikes a bargain is to produce the user number of purchasing behavior and the use accessing shop in shop
Ratio between the number of family；Described commodity conclusion of the business attribute includes commodity conclusion of the business rate of increase, and described commodity conclusion of the business rate of increase is described
Ratio between the conclusion of the business increment of commodity with the conclusion of the business increment of default similar commodity in shop；It is additionally operable to obtain wireless side
Accounting, in described wireless side accounting refers to shop, user uses the conclusion of the business number of times of wireless client and all purchase conclusion of the business total degrees
Ratio.
Index module 303, is used for the shop access attribute according to described user and user's shopping property and the weight of correspondence
Coefficient, calculates user and practises fraud index, is additionally operable to the user according to described shop and strikes a bargain attribute and commodity conclusion of the business attribute and correspondence
Weight coefficient, calculates shop cheating index.
Output module 304, for index of user being practised fraud compared with the first threshold preset, refers to if described user practises fraud
Number more than preset first threshold, it is determined that user for shopping at network practise fraud user, be additionally operable to by described shop cheating index and
The Second Threshold preset compares, if described shop cheating index is more than described Second Threshold, it is determined that shop is shopping at network
Cheating shop.
Anti-cheating system for shopping at network provided by the present invention, it is possible to determine brush single user and the single shop of brush
Paving, in order to brush single user is shielded, to the management such as brush single shop degree of lowering credit, purification network by shopping at network platform
The environment of shopping, improves the credit worthiness of shopping at network platform.
In several embodiments provided herein, it should be understood that disclosed method, apparatus and system, permissible
Realize by another way.Such as, apparatus embodiments described above is only schematic, drawing of described functional module
Point, the division of a kind of logic function, actual can have other dividing mode when realizing, and the most multiple modules can be in conjunction with
Or it is desirably integrated into another system, or some features can be ignored, or do not perform.
Last it is noted that above example is only in order to illustrate technical scheme, it is not intended to limit；Although
With reference to previous embodiment, the present invention is described in detail, it will be understood by those within the art that: it still may be used
So that the technical scheme described in foregoing embodiments to be modified, or wherein portion of techniques feature is carried out equivalent；
And these amendment or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. the anti-cheat method for shopping at network, it is characterised in that including:
Obtain the shopping at network record of user；
Shop access attribute and user's shopping property of described user is obtained according to described shopping at network record；
Shop access attribute according to described user and user's shopping property and the weight coefficient of correspondence, calculate user's cheating and refer to
Number；
User is practised fraud index with preset first threshold compared with, if described user practises fraud index more than preset the first threshold
Value, it is determined that user is shopping at network cheating user.
2. as claimed in claim 1 for the anti-cheat method of shopping at network, it is characterised in that the network of described acquisition user
Shopping record, including:
Obtaining the shopping at network record of the user using same hardware information, the user of described use same hardware information includes making
With identical media access control address (MAC Address) or the user of identical International Mobile Station Equipment Identification (IMEI).
3. as claimed in claim 1 for the anti-cheat method of shopping at network, it is characterised in that:
Described shop access attribute includes one of or combination in any: user is in shop residence time, with shop transaction
Amount, similar commodity shop visit capacity；
Described user's shopping property includes one of or combination in any: number of times of averagely doing shopping, commercial articles searching mode, confirmation
Receive the time, shopping frequency.
4. as claimed in claim 1 for the anti-cheat method of shopping at network, it is characterised in that judging that user is network
After shopping cheating user, described method also includes:
Obtain the conclusion of the business record in the shop that shopping at network cheating user bought；
Striking a bargain attribute and commodity conclusion of the business attribute according to the user that the described record that strikes a bargain calculates described shop, described user strikes a bargain attribute
Striking a bargain conversion ratio including user, the described user conversion ratio that strikes a bargain is the user number producing purchasing behavior in shop and access shop
Ratio between the user number of paving；Described commodity conclusion of the business attribute includes commodity conclusion of the business rate of increase, described commodity conclusion of the business rate of increase
For ratio between the conclusion of the business increment of commodity with the conclusion of the business increment of default similar commodity in described shop；
User according to described shop strikes a bargain attribute and commodity conclusion of the business attribute and the weight coefficient of correspondence, calculates shop cheating and refers to
Number；
By described shop cheating index compared with the Second Threshold preset, if described shop cheating index is more than described second threshold
Value, it is determined that shop is shopping at network cheating shop.
5. as claimed in claim 4 for the anti-cheat method of shopping at network, it is characterised in that described user strikes a bargain attribute also
Including:
Wireless side accounting, in described wireless side accounting refers to shop, user uses the conclusion of the business number of times of wireless client and all purchases
The ratio of conclusion of the business total degree.
6. the anti-cheating system for shopping at network, it is characterised in that including:
Input module, for obtaining the shopping at network record of user；
Attribute module, for obtaining the shop access attribute of described user according to described shopping at network record and user does shopping genus
Property；
Index module, is used for the shop access attribute according to described user and user's shopping property and the weight coefficient of correspondence, meter
Calculate user to practise fraud index；
Output module, for index of user being practised fraud compared with default first threshold, if described user practises fraud, index is more than
The first threshold preset, it is determined that user is shopping at network cheating user.
7. as claimed in claim 6 for the anti-cheating system of shopping at network, it is characterised in that:
Described input module, specifically for obtaining the shopping at network record of the user using same hardware information, described use phase
Include with the user of hardware information using identical media access control address (MAC Address) or identical international mobile device mark
Know the user of (IMEI).
8. as claimed in claim 6 for the anti-cheating system of shopping at network, it is characterised in that:
Described attribute module, includes one of or combination in any specifically for obtaining described shop access attribute: user
In shop residence time, with shop trading volume, similar commodity shop visit capacity；And do shopping genus specifically for obtaining described user
Property include one of or combination in any: number of times of averagely doing shopping, commercial articles searching mode, confirm time of receiving, shopping frequency.
9. as claimed in claim 6 for the anti-cheating system of shopping at network, it is characterised in that:
Described input module, is additionally operable to obtain the conclusion of the business record in the shop that shopping at network cheating user bought；
Described attribute module, is additionally operable to strike a bargain belong to according to strike a bargain attribute and commodity of the user that the described record that strikes a bargain calculates described shop
Property, the described user attribute that strikes a bargain includes that user strikes a bargain conversion ratio, and the described user conversion ratio that strikes a bargain buys row for producing in shop
For user number and access shop user number between ratio；Described commodity conclusion of the business attribute includes that commodity strike a bargain and increases
Rate, described commodity conclusion of the business rate of increase is the conclusion of the business increment of the conclusion of the business increment of commodity and the similar commodity preset in described shop
Between ratio；
Described index module, is additionally operable to the user according to described shop and strikes a bargain attribute and commodity conclusion of the business attribute and the weight system of correspondence
Number, calculates shop cheating index；
Described output module, is additionally operable to by described shop cheating index compared with the Second Threshold preset, if described shop is made
Fraud index is more than described Second Threshold, it is determined that shop is shopping at network cheating shop.
10. as claimed in claim 9 for the anti-cheating system of shopping at network, it is characterised in that:
Described attribute module, is additionally operable to obtain wireless side accounting, and in described wireless side accounting refers to shop, user uses wireless visitor
The conclusion of the business number of times of family end and the ratio of all purchase conclusion of the business total degrees.
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| CN201610388324.6A CN106096974A (en) | 2016-06-02 | 2016-06-02 | A kind of anti-cheat method for shopping at network and system |
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| CN201610388324.6A CN106096974A (en) | 2016-06-02 | 2016-06-02 | A kind of anti-cheat method for shopping at network and system |
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| CN107124391A (en) * | 2016-09-22 | 2017-09-01 | 北京小度信息科技有限公司 | The recognition methods of abnormal behaviour and device |
| CN107146089A (en) * | 2017-03-29 | 2017-09-08 | 北京三快在线科技有限公司 | The single recognition methods of one kind brush and device, electronic equipment |
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