CN109902476A - A kind of anti-cheat method and system - Google Patents
A kind of anti-cheat method and system Download PDFInfo
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- CN109902476A CN109902476A CN201910070894.4A CN201910070894A CN109902476A CN 109902476 A CN109902476 A CN 109902476A CN 201910070894 A CN201910070894 A CN 201910070894A CN 109902476 A CN109902476 A CN 109902476A
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Abstract
The present invention relates to a kind of anti-cheat methods of client, comprising: receives the request for business service end；In response to existing from the unique identification with the associated server in business service end, the request for business service end is associated with the unique identification；And the unique identification is sent to the business service end.
Description
Technical field
The present invention relates to a kind of Internet technical field, particularly a kind of anti-cheat method and system.
Background technique
For internet economy mode, encouraged and providing certain reward to client client go test, using or
Evaluating new product or service becomes a kind of normality.However, this mode also provides convenience for cribber.In the prior art
Cribber is generally discharged by identification user equipment.However, existing user equipment identification technology is mainly just for some aobvious
Property index, such as: IMEI, android_id etc..These parameters are easy not distort, and many IMEI of mobile phone on the market are one
Sample, it be easy to cause multiple equipment to be identified as an equipment.Therefore, this field needs a kind of completely new anti-identification of practising fraud of user
Method and system.
Summary of the invention
For the technical problems in the prior art, the invention proposes a kind of anti-cheat methods of client, comprising:
Receive the request for business service end；In response to existing from unique mark with the associated server in business service end
Know, the request for business service end is associated with the unique identification；And described in being sent to the business service end
Unique identification.
The anti-cheat method of client as described above, wherein the unique identification is at least partially based on the client
Hardware and/or software information.
The anti-cheat method of client as described above, wherein the unique identification is at least partially based on the client
Safety detection.
The anti-cheat method of client as described above, wherein the safety detection includes detecting the ring of the client
One or more of border, historical information, operating habit.
The anti-cheat method of client as described above further comprises: in response to there is no come to take with the business
The unique identification of the business associated server in end requests unique mark to the associated server in the business service end
Know.
The anti-cheat method of client as described above further comprises: the associated clothes in Xiang Suoshu business service end
Business device reports the hardware and/or software information of the client.
The anti-cheat method of client as described above, further comprise: operational safety detects program；And to the industry
The business associated server of server-side reports safety detection result.
The anti-cheat method of client as described above further comprises: coming from the business service end in response to receiving
Refusal service refuses the reason of servicing as a result, prompting the user with.
The invention proposes a kind of anti-cheat methods at business service end, comprising: receives the unique identification from client；
The unique identification is reported to the associated server in business service end；It receives the risk from the server and inquires knot
Fruit；And agrees to or refuse to service the client.
The anti-cheat method at business service end as described above, wherein being directed to the same unique identification, different time institute
Stating risk query result may be different.
The anti-cheat method at business service end as described above further comprises: in response to client described in granted service,
It records the behavior of the client and is sent to the server.
The anti-cheat method at business service end as described above further comprises: in response to refusing to service the client,
The reason of sending refusal service to the client.
The invention proposes a kind of anti-recognition methods of practising fraud of server, comprising: receives unique mark that business service end reports
Know；According to the unique identification, the risk of the corresponding client of the unique identification is determined；And it is mentioned to the business service end
For determining Risk Results.
The anti-cheat method of server as described above further comprises extract the corresponding client of the unique identification hard
Part and/or software information.
The anti-cheat method of server as described above, further comprises extracting the corresponding client of the unique identification
Safety detection result.
The anti-cheat method of server as described above further comprises determining that the unique identification is corresponding based on data model
Client risk, wherein the data model is at least partially based on one or more of following information:
A. the quantity of the client with same or similar hardware and/or software information；
B. the quantity of the client with same or similar environment；
C. the quantity of the client with same or similar historical information；And
D. the quantity of the client with same or similar operating habit.
The anti-cheat method of server as described above further comprises determining that the unique identification is corresponding based on data model
Client risk, wherein the data model is at least partially based on one or more of following information:
E. the difference of client and available type with same or similar hardware and/or software information；
F. the difference of the client with same or similar environment and available environment；
G. the difference of the client with same or similar historical information and real user；And
H. the difference of the client with same or similar operating habit and real user.
The anti-cheat method of server as described above further comprises: receiving marking for unique from the client
The request of knowledge；And the unique identification with the client associate is returned to the client.
The anti-cheat method of server as described above further comprises: being believed according to the hardware of the client and/or software
Breath；And/or safety detection result updates the data model.
The anti-cheat method of server as described above further comprises: according to the visitor from the business service end
The behavior at family end updates the data model.
The anti-cheat method of server as described above, wherein the server and the business service end are same service
End.
The invention proposes a kind of clients, comprising: service application unit, for receiving asking for business service end
It asks；It, will be described for business service end in response to existing from the unique identification with the associated server in business service end
Request be associated with the unique identification；And the unique identification is sent to the business service end；And server communication
Unit, in response to there is no from the unique identification with the associated server in business service end, to it is described
The associated server in business service end requests the unique identification.
Client as described above, wherein server communication unit includes parameter acquisition module, for by a kind of or more
Kind high-level language obtains the hardware and/or software parameter of the multiple dimensions of the client.
Client as described above, wherein server communication unit includes safety detection module, for detecting the client
One or more of the environment at end, historical information, operating habit.
The invention proposes a kind of servers, comprising: data model determines institute for the unique identification according to client
The risk for the client stated；Access unit, the unique identification reported for receiving business service end；It receives and comes from the number
According to the Risk Results of model determined according to the unique identification, and determining risk knot is provided to the business service end
Fruit.
Server as described above, wherein the access unit is further used for receiving being directed to only from the client
The request of one mark；And the unique identification with the client associate is returned to the client；And according to the client
The hardware and/or software information at end；And/or safety detection result；And/or the client from the business service end
Behavior updates the data model.
The invention proposes a kind of business service ends, comprising: service unit；Access unit comes from client for receiving
Unique identification；The unique identification is reported to the associated server in business service end；It receives and comes from the server
Risk query result；And agrees to or refuse to service the client.
Detailed description of the invention
In the following, the preferred embodiment of the present invention will be described in more detail in conjunction with attached drawing, in which:
Fig. 1 is that the equipment of the prior art identifies schematic diagram；
Fig. 2 is the schematic diagram according to the anti-cheating identifying system client device of one embodiment of the invention；
Fig. 3 is the anti-cheating identifying system server schematic diagram according to one embodiment of the invention；
Fig. 4 is the schematic diagram according to the anti-cheating identifying system of one embodiment of the invention；And
Fig. 5 is the anti-cheating recognition methods flow chart according to one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In the following detailed description, the specific embodiment for being used to illustrate the application as the application a part may refer to
Each Figure of description.In the accompanying drawings, similar appended drawing reference describes substantially similar component in different drawings.This Shen
Each specific embodiment please has carried out description detailed enough following, so that having the general of ability domain-dependent knowledge and technology
Logical technical staff can implement the technical solution of the application.It should be appreciated that can also be using other embodiments or to the application
Embodiment carry out structure, logic or electrical property change.
Fig. 1 is that the equipment of the prior art identifies schematic diagram.It is logged in as shown, user 100 accesses business service end 105.
Business service end 105 according to 100 mobile phone hardness index of user, such as: IMEI, android-id etc. determine 100 equipment of user.
Fig. 2 is the schematic diagram according to the anti-cheating identifying system client device of one embodiment of the invention.As shown,
Client 101 can have client end processor 212, client memory 214, communication unit 216 and display 218.
According to one embodiment of present invention, client end processor 212 can include one or more CPU, GPU, ASIC,
FPGA or their combination.Client end processor 212 is able to carry out the software being stored in client memory 214 to execute sheet
The method of text description.Client end processor 212 can be implemented in several different ways.For example, 212 energy of client end processor
It is enough embeded processor, processor core, microprocessor, logic circuit, hardware FSM, DSP or their combination.As
One specific example, client end processor 212 can be 32 bit processors, such asProcessor.
According to one embodiment of present invention, client memory 214 can store software, data, log or they
Combination.Client memory 214 can be internal storage.In another embodiment, client memory 214 can be outer
Portion's storage unit.Client memory 214 can be volatile memory or nonvolatile memory.For example, client stores
Device 214 can be the nonvolatile memory of such as NVRAM, flash memory, magnetic disk storage, or the volatibility of such as SRAM is deposited
Reservoir.Client memory 214 can be the main memory unit for client 101.
Communication unit 216 can be wired or wireless communication interface.For example, communication unit 216 can be client device
Network interface card.Communication unit 216 can be radio modem or wire line MODEM.In one embodiment,
Communication unit 216 can be WiFi modem.In further embodiments, communication unit 216 can be 3G modulation /demodulation
Device, 4G modem, LTE modem, bluetooth module, radio frequency receiver or their combination.Client device can
Communication network is connected to using communication unit 216 or with communication is coupled.Client 101 is able to use communication unit
216 transmission of member receives packet or message.
Client 101 is smart phone, and display 218 can be the touch-screen display of smart phone.It can be such as
The touch-screen display of liquid crystal display (LCD).As understood by those skilled in the art, client 101 can also include it
The device of his function, to meet the needs of client.
Fig. 3 is the anti-cheating identifying system server schematic diagram according to one embodiment of the invention.As shown, server
103 can have one or more processors 302, memory 304, server communication unit 306 and database 308.Processor
302 can be coupled to memory 304 and server communication unit 306 by high-speed bus.
Processor 302 can include one or more central processing unit (CPU), graphics processing unit (GPU), dedicated collection
At circuit (ASIC), field programmable gate array (FPGA) or their combination.Processor 302, which is able to carry out, is stored in memory
Software or computer-readable instruction in 304 is to execute method described herein or operation.Processor 302 can be with several differences
Mode implement.For example, processor 302 can include one or more embeded processors, processor core, miniature processing
Device, logic circuit, hardware finite state machines (FSM), digital signal processor (DSP) or their combination.For example, processor
402 can be 64 bit processors.
Memory 304 can store software, data, log or their combination.Memory 304 can be storage inside
Device.Alternatively, memory 304 can be external memory, such as reside in memory node, Cloud Server or storage server
Memory.Memory 304 can be volatile memory or nonvolatile memory.For example, memory 304 can be such as
Nonvolatile RAM (NVRAM), flash memory, magnetic disk storage nonvolatile memory, it is or such as, quiet
The volatile memory of state random access memory (SRAM).Memory 304 can be the primary storage list for server 103
Member.
Server communication unit 306 can include one or more wired or wireless communication interfaces.For example, server communication
Unit 306 can be the network interface card of server 103.Server communication unit 306 can be radio modem or have
Line modem.In a kind of modification, server communication unit 306 can be WiFi modem.In other modifications
In, server communication unit 306 can be 3G modem, 4G modem, LTE modem, bluetooth module, penetrate
Frequency receiver, antenna or their combination.Server 103 be able to use server communication unit 306 be connected to communication network or
Person with communication couples.Server 103 is able to use the transmission of server communication unit 306 or receives packet or disappear
Breath.
Fig. 4 is the schematic diagram according to the anti-cheating identifying system of one embodiment of the invention.With reference to Fig. 2, Fig. 3 and Fig. 4,
Anti- cheating identifying system of the invention includes server 103 and business service end 105.Server 103 and business service end can be with
It is different server, different services is provided；It is also possible to the same server, it is different to provide runs different programs
Service.
The business application for operating in client 101 needs to access business service end to be serviced.Client 101 is used
To execute the access at business service end.According to one embodiment of present invention, client 101 includes: service application unit, is used for
Receive the request for example from business application for business service end 105.After receiving the request, the determination of client 101 is
It is no to there is the unique identification for being used for access service server-side 105.If there is come from and the associated server in business service end 105
103 unique identification will be associated with the request at business service end 105 with unique identification.Then, it is sent out to business service end 105
Send unique identification.Business service end can will be sent collectively to business clothes for the request at business service end 105 and unique identification
Business end 105；It can also be by the two separately send.If there is no unique identification, client 101 passes through server communication unit
306, to the software/hardware information for reporting mobile phone with the associated server 103 in business service end 105, requested only to server 103
One mark.
According to an embodiment of the present invention, server 103 provides visitor by software information to mobile phone and hardware information
The unique identification of 101 equipment of family end.Wherein, unique identification is at least partially based on the software/hardware information of mobile phone.In some implementations
In example, the hardware information of mobile phone includes but is not limited to graphics processor information, central processing unit information, memory information, mobile phone SN
Code, mobile phone IMEI, network interface card information, camera information etc..The software information of mobile phone includes but is not limited to Android ID, IOS edition
Sheet, user account information, installation software information etc..According to an embodiment of the present invention, wherein client 101 is obtained including parameter
Module, for obtaining the soft of client 101 by one or more high-level languages, such as C language, the software module of Java language
Part/hardware parameter.
In some embodiments, unique identification is also at least partially based on environment software locating for client-user device/hard
Part information, such as: the software/hardware information of network locating for user equipment.In further embodiments, unique identification also at least portion
Divide historical information, operating habit etc. based on user's operation.According to an embodiment of the present invention, client 101 further includes safety
Detection module, for detecting client 101, and obtain client 101 user equipment local environment software/hardware information and
One or more of historical information, operating habit of user etc..
According to one embodiment of present invention, client 101 is communicated by SDK module 102 with server 103.SDK module
102 can adapt in a variety of clients 101, set up communication connection as communication interface and server 103.
According to one embodiment of present invention, business service end 105 includes communication interface.Communication interface and client 101
Communication receives unique identification from client 101.Further, communication interface is in communication with each other with server 103.Business service end
105, which send unique identification to server 103, is inquired, and receives query result from server 103.
According to one embodiment of present invention, business service end 105 includes: service unit and access unit.Access unit
For receiving the unique identification from client 101；It is described unique to being reported with the associated server 103 in business service end 105
Mark；Receive the risk query result from the server 103；And it is sent to client 101 and agrees to or refuse service
As a result.
According to one embodiment of present invention, 101 client of client, 101 server 103 includes: access unit, is used for
Receive the unique identification that business service end 105 reports；Data model, for the unique identification according to client 101, determining visitor
The risk at family end 101.Further, access unit receives the risk knot determined according to unique identification from data model 104
Fruit, and determining Risk Results are provided to business service end 105.
On the other hand, the access unit of server 103 is further used for receiving marking for unique from client 101
The request of knowledge；And it is returned and the associated unique identification of client 101 to client 101.Further, server 103 is according to visitor
The hardware and/or software information at family end 101；And/or safety detection result；And/or the client from the business service end 105
The behavior at end 101 updates data model 104.Software/hardware information and safety of the data model 104 based on historic customer end
Testing result, the authenticity for client device corresponding to unique identity.
According to one embodiment of present invention, data model 104 based on sorting machine learning model, have the engineering of supervision
Practise model or unsupervised machine learning model.In some embodiments, data model 104 is at least based on one in following information
Person or more persons, determine the risk of client corresponding to some unique identification:
A. the quantity of the client with same or similar hardware and/or software information；
B. the quantity of the client with same or similar environment；
C. the quantity of the client with same or similar historical information；And
D. the quantity of the client with same or similar operating habit.
For example, if having the same or similar hardware/software information, environment, historical information or operating habit
The quantity of client be more than scheduled threshold value it may be considered that the client risk is higher.
In some embodiments, data model 104 determines that some is unique at least based on one or more of following information
Identify the risk of corresponding client:
A. the difference of client and available type with same or similar hardware and/or software information；
B. the difference of the client with same or similar environment and available environment；
C. the difference of the client with same or similar historical information and real user；And
D. the difference of the client with same or similar operating habit and real user.
For example, if having the same or similar hardware/software information, environment, historical information or operating habit
Client and available type, environment or real user there are the probability of difference be more than predetermined threshold, it may be considered that the client
Hold risk higher.For example, so-called similar to refer to essentially identical and different parameter at 2 or less.
According to one embodiment of present invention, model 104 can comprehensively consider believes with the same or similar hardware/software
The quantity of the client of breath, environment, historical information or operating habit and with true type, environment or the difference of user, give
The score of client degree of risk out, such as the positive integer of 0-100.
Business service end 105 receives that the risk from server 103 is inquired as a result, being determined according to the size of risk same
The service business application program of meaning or refusal client 101.For example, if query result is that risk is high or low；That
Service is then provided when risk is low, it is on the contrary then refuse to service.If query result is the score of client degree of risk, example
Service is provided if risk score is greater than 60 points, it is on the contrary then refuse to service.
Fig. 5 is the anti-cheating recognition methods flow chart according to one embodiment of the invention.As shown, the anti-knowledge of practising fraud of user
Other method 400 includes: client, server and the method executed respectively at business service end；Wherein, the anti-cheating of client is known
Method 200, includes the following steps:
In step 210, request of the business application for business service end 105 is received.Business application operates in
Client.
Unique identification is determined whether before client 101 is communicated with business service end 105 in step 220.If
In the presence of from the unique identification with the associated server 103 in business service end 105, by the asking for business service end 105
It asks and is associated with the unique identification.If there is no from the unique identification with the associated server 103 in business service end 105,
To the hardware and/or software information for reporting the client 101 with the associated server 105 in business service end 105, request is unique
Mark.Client 101 receives the unique identification from server 103, and is used for the communication with business service end 105 later.
In step 230, client 101 sends the unique identification to the business service end 105.According to the present invention one
A embodiment, client 101 can will be sent together with unique identification for the request at business service end 105；It can also first send out
It send unique identification, after standby service server-side granted service, is requested sending.After sending unique identification, if business service end
105 granted services, then business application is communicated with business service end 105, executes follow-up work.If business service end 105
Refusal service as a result, in some embodiments, business service end 105 can user the reason of prompting refusal service.
The anti-cheat method 400 in business service end, includes the following steps:
In step 410, the unique identification from client 101 is received.
In step 420, the unique identification is reported to the associated server 103 in the business service end 105, inquiry is only
The corresponding risk of one mark.
In step 430, the risk query result from the server 103 is received.According to one embodiment of present invention,
Risk query result may be the result of direct instruction risk height.For example, risk corresponding to unique identification be "high" or
" low ".According to one embodiment of present invention, risk query result may be a score, be used to refer to the height of risk.
For example, risk query result may for " 0 " point expression devoid of risk and in the case that " 100 " point expression is cheating equipment certainly
" 60 " point.Business service end 105 is to determine whether the service of offer.
In step 440, agrees to or refusal services the client.As previously mentioned, if the unique identification of the equipment is corresponding
Risk is lower, is not belonging to cheating situation, then 105 granted service of business service end, such as execute the reward mechanism of request.If this sets
The case where corresponding risk attributes of standby unique identification are higher, may belong to cheating, then refuse to service.Further, if this sets
The corresponding risk of standby unique identification is very high, and confirmation belongs to cheating situation, and the correlation before business service end 105 can deduct is encouraged
It encourages, subsequent activities can not be participated in.In some embodiments, if risk corresponding to unique identification is "high",
Refusal service；If risk corresponding to unique identification is " low ", granted service.In some embodiments, divide table for " 0 "
Show devoid of risk and " 100 " point indicate in the case where being certainly cheating equipment, risk query result is " 60 " point or hereinafter, business clothes
Business 105 granted service of end；If risk query result is greater than " 60 " point, the refusal service of business service end 105；If risk is inquired
As a result it is greater than " 85 " point, then the resultant awards before deducting.
According to one embodiment of present invention, if in response to granted service client 101, the behavior of client 101 is recorded
And it is sent to the server 103.If sending the original of refusal service to client 101 in response to refusing service client 101
Cause.
The anti-recognition methods 300 of practising fraud of server, includes the following steps:
In step 310, the unique identification that business service end 105 reports is received.
The risk of the corresponding client 101 of the unique identification is determined according to the unique identification in step 320.
In step 330, Xiang Suoshu business service end 105 provides determining Risk Results.
As previously mentioned, server 103 and business service end 105 can be same server, or different services
Device.The unique identification risk attributes query demand that server 103 is sent according to business service end 105 carries out wind to unique identification
Dangerous determined property judges whether the feature for meeting normal device.
According to one embodiment of present invention, server 103 includes data model 104, for determining that unique identification is corresponding
Risk.For example, data model 104 is at least partially based on one or more of following information, determines client 101
Risk:
A. the quantity of the client 101 with same or similar hardware and/or software information；
B. the quantity of the client 101 with same or similar environment；
C. the quantity of the client 101 with same or similar historical information；And
D. the quantity of the client 101 with same or similar operating habit.
Data model 104 is at least partially based on one or more of following information, determines the risk of client 101:
E. the difference of client 101 and available type with same or similar hardware and/or software information；
F. the difference of the client 101 with same or similar environment and available environment；
G. the difference of the client 101 with same or similar historical information and real user；And
H. the difference of the client 101 with same or similar operating habit and real user.
According to one embodiment of present invention, 104 sorting machine learning model of data model, have the machine learning mould of supervision
Type or unsupervised machine learning model.In some embodiments, known device of the data source of data model 104 from magnanimity
Information bank.In some embodiments, the data source of data model 104 comes from client.Server 103, which receives, comes from client
101 for unique identification request and to client 101 return with the associated unique identification of client 101.Wherein, for
The request of unique identification includes the hardware of client and/or software information and/or safety detection result.Server 103 is according to this
A little information update data models.In some embodiments, the data source of data model 104 comes from business service end.Server 103
According to the behavior of the client from the business service end 105, the data model is updated.
In some embodiments of the present invention, combined using java and c bilingual, by software and hardware and safety detection
The sampling of equal various dimensions parameter, compares, and pass through in conjunction with the information of various facility informations and mobile phone in background data base
The judgement of running environment and software and hardware goes whether screening apparatus has abnormal operation from multiple dimensions such as equipment and user, and realization is set
The accurate judgement of standby accurate identification and cheating.
Above-described embodiment is used for illustrative purposes only, and is not limitation of the present invention, in relation to the general of technical field
Logical technical staff can also make a variety of changes and modification without departing from the present invention, therefore, all equivalent
Technical solution also should belong to scope disclosed by the invention.
Claims (27)
1. a kind of anti-cheat method of client, comprising:
Receive the request for business service end；
It, will be described for business service end in response to existing from the unique identification with the associated server in business service end
Request be associated with the unique identification；And
The unique identification is sent to the business service end.
2. according to the method described in claim 1, wherein the unique identification be at least partially based on the client hardware and/
Or software information.
3. according to the method described in claim 1, wherein the unique identification is at least partially based on the safety inspection of the client
It surveys.
4. according to the method described in claim 3, wherein the safety detection includes detecting the environment of the client, history letter
One or more of breath, operating habit.
5. according to the method described in claim 1, further comprising: in response to there is no come to be associated with the business service end
Server unique identification, request the unique identification to the associated server in the business service end.
6. according to the method described in claim 5, further comprising: the associated server in Xiang Suoshu business service end reports
The hardware and/or software information of the client.
7. according to the method described in claim 5, further comprising: operational safety detects program；And to the business service
The associated server is held to report safety detection result.
8. according to the method described in claim 1, further comprising: in response to receiving from business service end refusal service
As a result, prompt the user with refusal service the reason of.
9. a kind of anti-cheat method at business service end, comprising:
Receive the unique identification from client；
The unique identification is reported to the associated server in business service end；
Receive the risk query result from the server；And
Agree to or refusal services the client.
10. risk described in different time is inquired according to the method described in claim 9, being wherein directed to the same unique identification
It as a result may be different.
11. according to the method described in claim 9, further comprising: in response to client described in granted service, recording the visitor
The behavior at family end is simultaneously sent to the server.
12. according to the method described in claim 9, further comprising: servicing the client, Xiang Suoshu client in response to refusal
End sends the reason of refusal service.
13. a kind of anti-recognition methods of practising fraud of server, comprising:
Receive the unique identification that business service end reports；
According to the unique identification, the risk of the corresponding client of the unique identification is determined；And
Determining Risk Results are provided to the business service end.
14. further comprising according to the method for claim 13, the hardware for extracting the corresponding client of the unique identification
And/or software information.
15. further comprising according to the method for claim 13, extracting the corresponding client of the unique identification
Safety detection result.
16. further comprising according to the method for claim 13, determining that the unique identification is corresponding based on data model
The risk of client, wherein the data model is at least partially based on one or more of following information:
A. the quantity of the client with same or similar hardware and/or software information；
B. the quantity of the client with same or similar environment；
C. the quantity of the client with same or similar historical information；And
D. the quantity of the client with same or similar operating habit.
17. further comprising according to the method for claim 13, determining that the unique identification is corresponding based on data model
The risk of client, wherein the data model is at least partially based on one or more of following information:
A. the difference of client and available type with same or similar hardware and/or software information；
B. the difference of the client with same or similar environment and available environment；
C. the difference of the client with same or similar historical information and real user；And
D. the difference of the client with same or similar operating habit and real user.
18. method according to claim 16 or 17, further comprises: receiving marking for unique from the client
The request of knowledge；And the unique identification with the client associate is returned to the client.
19. according to the method for claim 18, further comprising: according to the hardware and/or software information of the client；
And/or safety detection result updates the data model.
20. according to the method for claim 19, further comprising: according to the client from the business service end
Behavior, update the data model.
21. according to the method for claim 13, wherein the server and the business service end are same server-side.
22. a kind of client, comprising:
Service application unit, for receiving the request for business service end；It is come from and the business service end in response to existing
The request for business service end is associated with by the unique identification of associated server with the unique identification；And to institute
It states business service end and sends the unique identification；And
Server communication unit, in response to there is no from described unique with the associated server in business service end
Mark requests the unique identification to the associated server in the business service end.
23. client according to claim 22, wherein server communication unit includes parameter acquisition module, for passing through
One or more high-level languages obtain the hardware and/or software parameter of the multiple dimensions of the client.
24. client according to claim 22, wherein server communication unit includes safety detection module, for detecting
One or more of the environment of the client, historical information, operating habit.
25. a kind of server, comprising:
Data model determines the risk of the client for the unique identification according to client；
Access unit, the unique identification reported for receiving business service end；Receive the basis from the data model
The Risk Results that the unique identification determines, and determining Risk Results are provided to the business service end.
26. server according to claim 25, wherein the access unit is further used for receiving from the client
The request for unique identification at end；And the unique identification with the client associate is returned to the client；And root
According to the hardware and/or software information of the client；And/or safety detection result；And/or the institute from the business service end
The behavior for stating client updates the data model.
27. a kind of business service end, comprising:
Service unit；
Access unit, for receiving the unique identification from client；It is reported to the associated server in business service end
The unique identification；Receive the risk query result from the server；And agrees to or refuse to service the client.
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