CN109447751A - A kind of exchange side's identity based on big data is counter to cheat recognition methods and its system - Google Patents
A kind of exchange side's identity based on big data is counter to cheat recognition methods and its system Download PDFInfo
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- CN109447751A CN109447751A CN201811251989.8A CN201811251989A CN109447751A CN 109447751 A CN109447751 A CN 109447751A CN 201811251989 A CN201811251989 A CN 201811251989A CN 109447751 A CN109447751 A CN 109447751A
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- Prior art keywords
- risk
- exchange side
- exchange
- transaction
- identity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
Abstract
The present invention relates to a kind of, and exchange side's identity based on big data is counter cheats recognition methods and its system, comprising: the transaction keyword in identification exchange of information；It trades if it exists keyword, then obtains exchange side's identity information, obtain the current position in exchange side；Judge the transaction risk of exchange side's identity, if identity transaction risk is high, determines that there are risk of fraud；The transaction risk that judgement exchange orientation is set determines that there are risk of fraud if position transaction risk is high；The user identity for having fraud is stored in risk identities database, after obtaining exchange side's identity information, exchange side's identity information is compared with the data in risk identities database；If exchange side's identity information compares successfully, determine that identity transaction risk is high；The address that fraud will be present is stored in risk address database, is obtained exchange orientation and is postponed, exchange side current location is compared with risk address database；If exchange side current location compares successfully, determine that position transaction risk is high.
Description
Technical field
The present invention relates to big data field, in particular to a kind of exchange side's identity based on big data is counter to cheat recognition methods
And its system.
Background technique
E-commerce has attracted pouring in for mass crime strength as a huge economic industry.Conventional business mode
Middle both sides are to trade face-to-face in real world, and then become virtual network trading in e-commerce, are increased not really
It is qualitative, to provide opportunity for fraudster.Under unsafe network environment, the authenticity verification of user is relatively weak,
Fraudster is easy to implement to cheat to gain fortune by cheating.Especially network hacker is implemented to provide technology for e-commerce fraud
It supports.Even, criminal is by pretending other people by exchanging with victim, thus defraudation.The prior art is to illegal point
The identification of son is relatively simple, can not initiative recognition camouflage criminal, to be difficult to carry out the criminal of the type
It accurately identifies.
Summary of the invention
Goal of the invention:
Aiming at the problem that mentioning in background technique, the present invention provides a kind of exchange side's identity based on big data and instead cheats identification side
Method and its system.
Technical solution:
A kind of exchange side's identity based on big data is counter to cheat recognition methods, comprising the following steps:
Identify the transaction keyword in exchange of information；
It trades if it exists keyword, then obtains exchange side's identity information, obtain the current position in exchange side；
Judge the transaction risk of exchange side's identity, if identity transaction risk is high, determines that there are risk of fraud；
The transaction risk that judgement exchange orientation is set determines that there are risk of fraud if position transaction risk is high；
Wherein:
Default transaction keyword is designated word and/or word, and transaction keyword is prestored and is stored in cloud processor；
The user identity for having fraud is stored in risk identities database, after obtaining exchange side's identity information, will be exchanged
Square identity information is compared with the data in risk identities database；If exchange side's identity information compares successfully, body is determined
Part transaction risk is high；
The address that fraud will be present is stored in risk address database, is obtained exchange orientation and is postponed, and exchange side is current
Position is compared with risk address database；If exchange side current location compares successfully, determine that position transaction risk is high.
As a kind of preferred embodiment of the invention, keyword of trading further includes picture, is stored in cloud processor specified
Picture；Picture in exchange of information is identified, if the picture is consistent with the picture of cloud processing storage, determines exist
Transaction keyword.
As a kind of preferred embodiment of the invention, the text in picture is identified, and judges that the text in picture is
No is transaction keyword.
As a kind of preferred embodiment of the invention, the position for obtaining exchange side includes longitude, the latitude, sea for obtaining exchange side
It pulls out；The position of exchange side is obtained including judging whether current location is common point, if not common point, and exchange side's present bit
It sets and compares successfully, then determine that position transaction risk is high.
Current common point is obtained if the position of exchange side is common point as a kind of preferred embodiment of the invention
Whether there is fraud, if so, and exchange side current location compare successfully, then determine that position transaction risk is high；Public position
The judgement set is judgement range with the preset range of the currently side of exchange position.
A kind of exchange side's identity based on big data is counter to cheat identifying system, comprising:
Keyword of trading obtains module, for obtaining transaction keyword；
Identity obtains module, for obtaining exchange side's identity；
Position acquisition module, for obtaining the room front position of exchange side；
Risk judgment module, for judging whether there is risk of fraud；
Cloud processor is used for store transaction keyword；Cloud processor further includes risk identities database and risk number of addresses
According to library；Risk identities database is used to be stored with the user identity of fraud；Risk address database is for being stored with fraud
The address of behavior.
As a kind of preferred embodiment of the invention, it further includes the picture obtained in exchange that keyword of trading, which obtains module, and
Picture is identified；Cloud processor is also used to store designated pictures.
As a kind of preferred embodiment of the invention, keyword of trading obtains module and is also used to identify the text in picture, and
Judge whether the text is transaction keyword.
As a kind of preferred embodiment of the invention, position acquisition module obtains longitude, latitude, the height above sea level of exchange side, and will
Longitude, latitude, the height above sea level of exchange side are exported to risk judgment module, and the position of risk judgment module judgement exchange side whether there is
Risk of fraud；Position acquisition module also judges whether exchange orientation and set is common point.
As a kind of preferred embodiment of the invention, position acquisition module obtains the accurate location of exchange side, and according to exchange
The accurate location of side, which determines, determines range.
The present invention realize it is following the utility model has the advantages that
Sensitive information is judged whether there is by the identification of the exchange content to exchange side.The sender of sensitive information is sentenced
It is disconnected, user is prompted if exchange side's risk of fraud height.Fraud judgement is carried out with address by the behavior to exchange side, is mentioned
The accuracy of height judgement.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is a kind of anti-flow chart for cheating recognition methods of exchange side's identity based on big data provided by the invention；
Fig. 2 is a kind of anti-transaction keyword recognition for cheating recognition methods of exchange side's identity based on big data provided by the invention
Flow chart；
Fig. 3 is a kind of anti-picture character identification stream for cheating recognition methods of exchange side's identity based on big data provided by the invention
Journey；
Fig. 4 is that identification is set in a kind of anti-exchange orientation for cheating recognition methods of exchange side's identity based on big data provided by the invention
Flow chart；
Fig. 5 is a kind of anti-common point identification stream for cheating recognition methods of exchange side's identity based on big data provided by the invention
Cheng Tu；
Fig. 6 is a kind of anti-system block diagram for cheating identifying system of exchange side's identity based on big data provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one
With reference to Fig. 1-5.
Specifically, a kind of exchange side's identity based on big data is counter to cheat recognition methods, comprising the following steps:
S101: the transaction keyword in identification exchange of information.
S102: keyword of trading if it exists then obtains exchange side's identity information, obtains the current position in exchange side.
S103: the transaction risk of judgement exchange side's identity determines that there are risk of fraud if identity transaction risk is high.
S104: the transaction risk that judgement exchange orientation is set determines that there are risk of fraud if position transaction risk is high.
Wherein:
Default transaction keyword is designated word and/or word, and transaction keyword is prestored and is stored in cloud processor 4.
As an embodiment of the present embodiment, keyword of trading is come across in exchange, then at once to transaction key
Word is reacted.It trades keyword can include: transfer accounts, trade, money, payment, bank's card number, account etc. keyword, exchanging
Occurs transaction keyword in the process, then keyword recognition of trading module intercepts the transaction keyword immediately.Transaction keyword recognition
Module and cloud processor 5 are wirelessly connected, and transaction keyword recognition module can obtain the default transaction stored in cloud processor 5
Keyword, and be compared with exchange content.
As an embodiment of the present embodiment, presetting transaction keyword can be by user's sets itself, keyword of trading
Transaction keyword root in identification module is according to the default transaction keyword real-time update in cloud processor 5.
The user identity for having fraud is stored in risk identities database 6, it, will after obtaining exchange side's identity information
Exchange side's identity information is compared with the data in risk identities database 6.If exchange side's identity information compares successfully, sentence
It is high to determine identity transaction risk.
Risk identities database 6 is set in cloud processor 5, wherein the user identity there are fraud is included,
The user identity there are risk of fraud can be included as an embodiment of the present embodiment, in risk identities database 6.
As an embodiment of the present embodiment, if thering is user to be determined risk of fraud the user will be included in
In the risk identities database 6.Preferably, if the risk of fraud for having user to be determined preset times, which will be determined
Have and cheats and be included in the risk identities database 6.
If determining risk of fraud with the presence of user, it can be appealed, complaint can eliminate risk identities database 6 after passing through
Interior record.
Identity obtains module after transaction keyword recognition module identifies transaction keyword, obtains the identity of the exchange side
Information, and the identity information is exported to risk judgment module 4, risk judgment module 4 is by the identity information and risk identities number
It is compared according to the user identity in library 6, if there are the user information, risk judgment modules 4 in the risk identities database 6
Determine that the identity transaction risk is high, user is prompted to pay close attention to transaction risk.
The address that fraud will be present is stored in risk address database 7, is obtained exchange orientation and is postponed, by exchange side
Current location is compared with risk address database 7.If exchange side current location compares successfully, position transaction risk is determined
It is high.
Risk address database 7 is set in cloud processor 5, wherein the address there are fraud is included, as
An embodiment of the present embodiment can include the address there are risk of fraud in risk address database 7.
As an embodiment of the present embodiment, if thering is address to be determined risk of fraud the address will be included in
In the risk address database 7.Preferably, if the risk of fraud for having address to be determined preset times, which will be determined
Have and cheats and be included in the risk address database 7.
If determining risk of fraud with the presence of address, it can be appealed, complaint can eliminate risk address database 7 after passing through
Interior record.
Address acquisition module obtains the address of the exchange side after transaction keyword recognition module identifies transaction keyword
Information, and the address information is exported to risk judgment module 4, risk judgment module 4 is by the address information and risk number of addresses
It is compared according to the address in library 7, if there are the address information in the risk address database 7, risk judgment module 4 determines
The address transaction risk is high, and user is prompted to pay close attention to transaction risk.
As a kind of preferred embodiment of the invention, keyword of trading further includes picture, is stored in cloud processor 5 specified
Picture.Picture in exchange of information is identified, if the picture is consistent with the picture of cloud processing storage, determines exist
Transaction keyword.Then identifying to picture including picture in exchange of information, specific picture may also include expression packet.Cloud
Specified picture is stored in processor 5, such as the picture comprising Transaction Information, transaction request.Transaction keyword recognition module
Identify that picture is that default picture determines there is transaction keyword.
As a kind of preferred embodiment of the invention, the text in picture is identified, and judges that the text in picture is
No is transaction keyword.Keyword recognition module of trading can recognize the text in picture, and extract to the text in picture,
Identification is compared with preset transaction keyword in the text after extraction text.Determine to deposit if the text is transaction keyword
In transaction keyword.
As a kind of preferred embodiment of the invention, the position for obtaining exchange side includes longitude, the latitude, sea for obtaining exchange side
It pulls out.The position of exchange side is obtained including judging whether current location is common point, if not common point, and exchange side's present bit
It sets and compares successfully, then determine that position transaction risk is high.
Position acquisition device specifically obtains the longitude and latitude and height above sea level of exchange side, that is, determines the plan-position and building of exchange side
Layer is set exchange orientation and is accurately positioned, improves the accuracy of positioning.It obtains exchange orientation to postpone, position acquisition module 3 is right
Exchange orientation is set to be compared with risk address database 7.
In addition, whether it is that common point determines to current location that position acquisition device obtains exchange orientation and postpones also,
As an embodiment of the present embodiment, the built-in map of position acquisition device, wherein the range of mark common point.If handing over
Not common point is set in stream orientation, and the exchange orientation is set and compared successfully with risk address database 7, and risk judgment module 4 is sentenced
The fixed position transaction risk is high.
Current common point is obtained if the position of exchange side is common point as a kind of preferred embodiment of the invention
Whether there is fraud, if so, and exchange side current location compare successfully, then determine that position transaction risk is high.Public position
The judgement set is judgement range with the preset range of the currently side of exchange position.
If exchange orientation is set to common point, the fraud record of the common point is obtained, is taken advantage of if the common point exists
Swindleness behavior, and the exchange orientation is set and is compared successfully with risk address database 7, risk judgment module 4 determines position transaction wind
Danger is high.
As an embodiment of the present embodiment, common point setting determines range, which is set specific
Point centered on position, using the preset range of the central point as judgement range.It is round half that preset range, which is with central point,
Diameter is the range of 2km.
Embodiment two
With reference to Fig. 6.
Specifically, a kind of exchange side's identity based on big data is counter to cheat identifying system, comprising:
Keyword of trading obtains module 1, for obtaining transaction keyword.
Identity obtains module, for obtaining exchange side's identity.
Position acquisition module 3, for obtaining the room front position of exchange side.
Risk judgment module 4, for judging whether there is risk of fraud.
Cloud processor 5 is used for store transaction keyword.Cloud processor 5 further includes risk identities database 6 and risk
Address database 7.Risk identities database 6 is used to be stored with the user identity of fraud.Risk address database 7 is for depositing
Contain the address of fraud.
As a kind of preferred embodiment of the invention, it further includes the picture obtained in exchange that keyword of trading, which obtains module 1,
And picture is identified.Cloud processor 5 is also used to store designated pictures.
As a kind of preferred embodiment of the invention, keyword of trading obtains module 1 and is also used to identify the text in picture, and
Judge whether the text is transaction keyword.
As a kind of preferred embodiment of the invention, position acquisition module 3 obtains longitude, latitude, the height above sea level of exchange side, and will
Longitude, latitude, the height above sea level of exchange side are exported to risk judgment module 4, and risk judgment module 4 judges whether the position of exchange side deposits
In risk of fraud.Position acquisition module 3 also judges whether exchange orientation and set is common point.
As a kind of preferred embodiment of the invention, position acquisition module 3 obtains the accurate location of exchange side, and according to exchange
The accurate location of side, which determines, determines range.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of exchange side's identity based on big data is counter to cheat recognition methods, which comprises the following steps:
Identify the transaction keyword in exchange of information；
It trades if it exists keyword, then obtains exchange side's identity information, obtain the current position in exchange side；
Judge the transaction risk of exchange side's identity, if identity transaction risk is high, determines that there are risk of fraud；
The transaction risk that judgement exchange orientation is set determines that there are risk of fraud if position transaction risk is high；
Wherein:
Default transaction keyword is designated word and/or word, and transaction keyword is prestored and is stored in cloud processor；
The user identity for having fraud is stored in risk identities database, after obtaining exchange side's identity information, will be exchanged
Square identity information is compared with the data in risk identities database；If exchange side's identity information compares successfully, body is determined
Part transaction risk is high；
The address that fraud will be present is stored in risk address database, is obtained exchange orientation and is postponed, and exchange side is current
Position is compared with risk address database；If exchange side current location compares successfully, determine that position transaction risk is high.
2. a kind of exchange side's identity based on big data according to claim 1 is counter to cheat recognition methods, which is characterized in that
Keyword of trading further includes picture, and specified picture is stored in cloud processor；Picture in exchange of information is identified,
If the picture is consistent with the picture of cloud processing storage, determine there is transaction keyword.
3. a kind of exchange side's identity based on big data according to claim 2 is counter to cheat recognition methods, which is characterized in that
Text in picture is identified, and judges whether the text in picture is transaction keyword.
4. a kind of exchange side's identity based on big data according to claim 1 is counter to cheat recognition methods, which is characterized in that
The position for obtaining exchange side includes longitude, latitude, the height above sea level for obtaining exchange side；The position for obtaining exchange side includes judging current position
Whether point is common point, if not common point, and exchange side current location compares successfully, then determines that position transaction risk is high.
5. a kind of exchange side's identity based on big data according to claim 4 is counter to cheat recognition methods, which is characterized in that
If the position of exchange side be common point, obtain whether current common point fraud occurred, if so, and exchange side work as
Front position compares successfully, then determines that position transaction risk is high；The judgement of common point is with the default of the currently side of exchange position
Range is to determine range.
6. a kind of exchange side's identity based on big data according to claim 1-5 is counter to cheat identifying system,
It is characterized in that, comprising:
Keyword of trading obtains module, for obtaining transaction keyword；
Identity obtains module, for obtaining exchange side's identity；
Position acquisition module, for obtaining the room front position of exchange side；
Risk judgment module, for judging whether there is risk of fraud；
Cloud processor is used for store transaction keyword；Cloud processor further includes risk identities database and risk number of addresses
According to library；Risk identities database is used to be stored with the user identity of fraud；Risk address database is for being stored with fraud
The address of behavior.
7. a kind of exchange side's identity based on big data according to claim 6 is counter to cheat identifying system, which is characterized in that
Keyword of trading obtains module, further includes the picture obtained in exchange, and identify to picture；Cloud processor is also used to deposit
Store up designated pictures.
8. a kind of exchange side's identity based on big data according to claim 7 is counter to cheat identifying system, which is characterized in that
Transaction keyword obtains module and is also used to identify the text in picture, and judges whether the text is transaction keyword.
9. a kind of exchange side's identity based on big data according to claim 6 is counter to cheat identifying system, which is characterized in that
Position acquisition module obtains longitude, latitude, the height above sea level of exchange side, and by the longitude, latitude, height above sea level of exchange side to risk judgment mould
Block output, risk judgment module judge that the position of exchange side whether there is risk of fraud；Position acquisition module also judges exchange side
Whether position is common point.
10. a kind of exchange side's identity based on big data according to claim 9 is counter to cheat identifying system, feature exists
In position acquisition module obtains the accurate location of exchange side, and is determined according to the accurate location of exchange side and determine range.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811251989.8A CN109447751A (en) | 2018-10-25 | 2018-10-25 | A kind of exchange side's identity based on big data is counter to cheat recognition methods and its system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811251989.8A CN109447751A (en) | 2018-10-25 | 2018-10-25 | A kind of exchange side's identity based on big data is counter to cheat recognition methods and its system |
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| CN112416979A (en) * | 2020-11-24 | 2021-02-26 | 平安普惠企业管理有限公司 | Anti-fraud method, device and equipment based on geographic position and storage medium |
| CN113709293A (en) * | 2020-05-20 | 2021-11-26 | 阿瓦亚管理有限合伙公司 | System and method for transaction authentication |
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