KR20140108472A - Method, cloud server and payment system for managing related payment information - Google Patents

Method, cloud server and payment system for managing related payment information Download PDF

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Publication number
KR20140108472A
KR20140108472A KR1020130022400A KR20130022400A KR20140108472A KR 20140108472 A KR20140108472 A KR 20140108472A KR 1020130022400 A KR1020130022400 A KR 1020130022400A KR 20130022400 A KR20130022400 A KR 20130022400A KR 20140108472 A KR20140108472 A KR 20140108472A
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information
specific
payment
payment information
prediction result
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KR1020130022400A
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Korean (ko)
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이재원
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비씨카드(주)
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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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/02—Payment architectures, schemes or protocols involving a neutral party, e.g. certification authority, notary or trusted third party [TTP]
    • G06Q20/023—Payment architectures, schemes or protocols involving a neutral party, e.g. certification authority, notary or trusted third party [TTP] the neutral party being a clearing house
    • 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/389—Keeping log of transactions for guaranteeing non-repudiation of a transaction
    • 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists

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

Abstract

A method for managing payment related information, a cloud server and a payment system are provided. A cloud server for managing settlement related information according to the present invention includes a settlement information receiver for receiving settlement information from a blind terminal, an information pattern extractor for analyzing the settlement information and extracting a specific information pattern based on the association between the settlement information, A specific prediction result generation unit for generating a specific prediction result based on the extracted specific information pattern, and a storage unit for storing the payment information, the specific information pattern, and the specific prediction result.

Description

METHOD, CLOUD SERVER AND PAYMENT SYSTEM FOR MANAGING RELATED PAYMENT INFORMATION,

The present invention relates to a method for managing payment related information, a cloud server and a payment system, and more particularly, to a method for managing payment information in a cloud computing environment and providing related information using payment information, Server and billing system.

Generally, receipts received by consumers as proof of purchase using a credit card display detailed information (product name, unit price, quantity, etc.) of the purchased product in addition to merchant information, credit card information, and total payment amount.

However, when the settlement is processed on the settlement system, the detailed information of the purchased commodity is not provided as the settlement information, and thus various applications of the settlement information are limited.

In this situation, attempts have been recently made to incorporate merchandise name, unit price, quantity, and amount information into the payment information, and use it as marketing information using accumulative big-data. However, There is a limitation in the management of the payment information.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems of the prior art, and it is an object of the present invention to include specific purchase product information in billing information and manage it as big-data through cloud computing .

Also, a method, a server, and a system that can actively utilize marketing data by extracting a new pattern of purchase by a consumer using the big-data are provided.

In order to accomplish the above object, a payment system according to an embodiment of the present invention may include an approval terminal for requesting approval of payment when payment is requested, an approval for the payment, A VAN server for transmitting an approval request for the settlement received from the merchant terminal to the card company server, receiving the approval result from the credit card company server and transmitting the authorization result to the merchant terminal, A cloud server for storing and accumulating payment information for settlement, extracting a specific information pattern based on the association between the accumulated payment information, and providing a specific prediction result generated based on the extracted specific information pattern to the merchant terminal, and a cloud server.

In order to achieve the above object, a cloud server for managing settlement related information according to an embodiment of the present invention includes a settlement information receiver for receiving settlement information from an affiliate terminal, A specific prediction result generation unit for generating a specific prediction result based on the extracted specific information pattern and a storage unit for storing the payment information, the specific information pattern, and the specific prediction result .

In one aspect of the present invention, the cloud server further includes a prediction result providing unit for providing the generated specific prediction result to the franchisee terminal at the request of the franchisee terminal.

In one aspect of the present invention, the cloud server further includes a security processing unit for decrypting the payment information received encrypted and encrypting the payment information, the specific information pattern, and the specific prediction result stored in the storage unit .

In one aspect of the present invention, the security processing unit performs the encryption and decryption using at least one of a Secure Socket Layer (SSL) and a Secure Shell (SSH) security method, ) To monitor traffic transmitted and received between the cloud server and the affiliate terminal in real time.

In one aspect of the present invention, the cloud server selects any one of the plurality of operating servers including the payment information receiving unit, the information pattern extracting unit, and the prediction result generating unit, and the operation server based on a specific selection criterion, And a load balancing unit for connecting the selected operating server to the merchant terminal, wherein the specific selection criterion includes a health check, a load balancing check, a network proximity check, Geographic proximity, and admin policy. ≪ RTI ID = 0.0 >

According to an aspect of the present invention, the storage unit stores the payment information in a master repository and a plurality of sub-repositories connected to the main repository.

In addition, in an aspect of the present invention, the cloud server further includes a monitoring unit for monitoring the access of the merchant terminal to the storage unit and generating a log.

Further, in one aspect of the present invention, the payment information includes at least one of merchant information, purchase product information, credit card information, and benefit information.

According to another aspect of the present invention, there is provided a method for managing settlement related information in a cloud server, the method comprising the steps of: (a) receiving payment information from an affiliate terminal; (b) (C) analyzing the stored payment information to extract a specific information pattern based on the association between the stored payment information, and (d) generating a specific prediction result based on the extracted specific information pattern .

In one aspect of the present invention, the payment related information management method further includes the step of (e) providing the generated specific prediction result to the merchant terminal according to a request from the merchant terminal.

Also, in one aspect of the present invention, the settlement-related information management method further includes: (e) encrypting and storing the specific information pattern and the specific prediction result.

In addition, in one aspect of the present invention, the step (c) includes a step of decrypting the payment information encrypted and stored.

Further, in one aspect of the present invention, the payment information includes at least one of merchant information, purchase product information, credit card information, and benefit information.

According to an embodiment of the present invention, specific purchase product information may be included in the payment information, and accumulated information may be accumulated in big-data.

Also, by extracting a new pattern of purchase by a consumer using the big data, the customer can actively utilize the data in marketing data.

It should be understood that the effects of the present invention are not limited to the above effects and include all effects that can be deduced from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a diagram illustrating a configuration of a payment related information management system 100 according to an embodiment of the present invention.
2 is a block diagram illustrating the configuration of a cloud server 140 according to an embodiment of the present invention.
3 is a flowchart illustrating a process of providing settlement information by the cloud server 140 according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "indirectly connected" . Also, when an element is referred to as "comprising ", it means that it can include other elements, not excluding other elements unless specifically stated otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a configuration of a payment related information management system 100 according to an embodiment of the present invention.

Related information management system 100 according to an embodiment of the present invention includes an affiliate terminal 110, a van server 120, a card issuer server 130, and a cloud server 140 can do.

When the merchant terminal 110 is requested to settle a purchase item through settlement using a credit card or mobile settlement using a mobile communication terminal of a buyer, the merchant terminal 110 transmits an approval request for the requested payment to a van To the cloud server 140, and transmits the payment information to the cloud server 140.

In addition, the merchant terminal 110 may transmit the payment information to the cloud server 140 after receiving the approval request result from the VAN company server 120.

The payment information may include merchant information, purchase merchandise information, credit card information, and benefit information. The merchant information may include a merchant name, a business number, an address, a telephone number, a representative name, and the like.

The purchased product (service) information may include a product name, a unit price, a quantity, an amount, a grand total, etc., and may further include a product code corresponding to the product name.

The credit card information may include a card name, a card number, an expiration date, a bill amount, a payment term, an approval number, an approval date and time, a merchant number, and the like.

The benefit information may include a membership card name, membership card number, earned membership points, used membership points, remaining membership points, and the like.

The billing information transmitted from the merchant terminal 110 to the cloud server 140 may be encrypted and transmitted using a security method such as SSL (Secure Socket Layer) or SSH (Secure Shell).

Meanwhile, the VAN company server 120 transmits an approval request for settlement received from the merchant terminal 110 to the card issuer server 130, receives an approval result from the card issuer server 130, ).

On the other hand, the card issuer server 130 approves the settlement in response to the approval request for payment received from the VAN company server 120, and transmits the approval result to the VAN server 120 Lt; / RTI >

1, there is a VAN server 120 between a merchant terminal 110 and a card issuer server 130, but a VAN server 120 is omitted The merchant terminal 110 directly requests the card issuer server 130 to approve the payment and directly receives the payment approval result from the card issuer server 130. [

Meanwhile, the cloud server 140 may be connected to the merchant terminal 110 to receive payment information from the merchant terminal 110. [

For reference, the payment information received from the merchant terminal 110 by the cloud server 140 may be received when the merchant terminal 110 requests authorization from the vant company server 120 for settlement , And may be received after the merchant terminal 110 receives the approval result of the settlement from the van server (VAN) server 120.

The cloud server 140 may distribute and store the payment information received from the merchant terminal 110 into a plurality of sub-stores connected to the main storage and the main storage, respectively. At this time, the SSH (Secure Shell) It can be encrypted and stored in the same security method.

Here, the number of slave repositories can be flexibly adjusted according to the addition of service functions or users (vendors).

In addition, the cloud server 140 may extract a specific information pattern based on the correlation between accumulated payment information, and generate a specific prediction result based on the extracted specific information pattern.

Thereafter, when a request for a specific prediction result is received from the franchisee terminal 110, the cloud server 140 may provide the requested specific prediction result to the franchisee terminal 110.

The cloud server 140 may include a plurality of operation servers and may connect a specific operation server among the plurality of operation servers to the franchise terminal 110 according to a specific selection criterion when the franchisee terminal 110 is connected.

The cloud server 140 can perform real-time monitoring of traffic transmitted and received between the affiliated terminal 110 and the operation server through the Unified Threat Management (UTM) To monitor the access of the log to generate the log.

2 is a block diagram illustrating the configuration of a cloud server 140 according to an embodiment of the present invention.

The cloud server 140 according to an exemplary embodiment of the present invention includes a payment information receiving unit 141, a storage unit 142, an information pattern extracting unit 143, a prediction result providing unit 144, a security processing unit 145, A balancing unit 146 and a monitoring unit 147. [

The payment information receiving unit 141 can receive the payment information from the merchant terminal 110. [

At this time, when the payment information received from the merchant terminal 110 is encrypted, the security processing unit 145 may decrypt the encrypted payment information and transmit the decrypted payment information to the storage unit 142, Information may be encrypted by a security method such as SSH (Secure Shell) and transmitted to the storage unit 142.

Meanwhile, the storage unit 142 may distribute and store the payment information received from the payment information receiving unit 141 in a plurality of sub-stores connected to the main storage and the main storage.

The storage unit 142 stores the specific information pattern extracted by the information pattern extracting unit 143 and the specific prediction result generated by the prediction result providing unit 144 in addition to the payment information in a master storage and a plurality of slave storage Respectively.

Accordingly, when a failure occurs in the master storage and the normal service can not be provided, the storage unit 142 can provide a normal service using any one of a plurality of slave storage units.

The storage unit 142 can flexibly adjust (add) the number of slave storage according to a service function or a user (company) addition.

The information pattern extracting unit 143 may analyze the payment information accumulated in the main storage and the plurality of slave stores through the storage unit 142 to extract a specific pattern based on the association between payment information .

As a result of analyzing the settlement information, if the frequency of purchasing 'cappuccino' and 'waffle' together is high in a coffee shop, the information pattern extracting unit 143 extracts a specific purchase pattern matching cappuccino and waffle Can be extracted.

As another example, if the frequency of purchasing the baby diaper and the beer together is very high as a result of analyzing the payment information, the information pattern extracting unit 143 may extract a specific purchase pattern matching the diaper and the beer.

The prediction result delivering unit 144 can generate a specific prediction result based on the specific information pattern extracted from the information pattern extracting unit 143. [

If the cappuccino and waffle are extracted in a specific purchase pattern, the prediction result providing unit 144 may be more likely to purchase the waffle when purchasing the cappuccino at the coffee shop, So that discount information on waffles can be provided when purchasing cappuccino.

In addition, when the baby diaper and the beer are extracted with a specific purchase pattern, the prediction result providing unit 144 can provide information on the product placement so that the consumers can purchase the beer easily when purchasing the baby diaper from the shopping mall.

The prediction result providing unit 144 may provide the requested prediction result to the franchisee terminal 110 upon receiving a request for a specific prediction result from the franchisee terminal 110. [

For example, when a request for a prediction result for a mart and a baby diaper is received from the merchant terminal 110, the prediction result providing unit 144 determines whether the relationship between the baby diaper and the beer in the mart, Store product placement information to the merchant terminal (110).

Meanwhile, when the payment information received by the payment information receiving unit 141 is encrypted, the security processing unit 145 may decrypt the encrypted payment information and transmit the decrypted payment information to the storage unit 142. [

In addition, the security processing unit 145 may encrypt the decrypted payment information using a security method such as SSH (Secure Shell), and transmit the decrypted payment information to the storage unit 142. [

In addition to the settlement information, the security processing unit 145 may encrypt the specific information pattern extracted by the information pattern extracting unit 143 and the specific prediction result generated by the prediction result providing unit 144 and transmit the encrypted information to the storage unit 142 .

In addition, the security processing unit 145 can perform real-time surveillance through the Unified Threat Management (UTM) on the traffic transmitted and received between the merchant terminal 110 and the operation server connected to the merchant terminal 110 .

In a case where the cloud server 140 includes a plurality of operating servers, the load balancing unit 146 may load balance servers 110 and 110 of a plurality of operating servers in accordance with a specific selection criterion when accessing the merchant terminal 110 ) Can be connected.

Here, the specific selection criteria may include one or more of a health check, a load balancing check, a network proximity check, and a geographic proximity of the operating server.

Each selection criterion will be described in detail.

1. Operating server health check (health check)

The load balancing unit 146 transmits a message for checking the operation status to a plurality of operation servers such as Internet Group Management Protocol (IGMP), User Datagram Protocol (UDP), Transmission Control Protocol (TCP), HyperText Transfer Protocol ) Message, and it is possible to select a server which can be serviced by confirming that the corresponding server is operating normally through a predetermined response period.

Accordingly, the load balancing unit 146 can monitor the operation state of the operation server, so that the agent terminal 110 can be prevented from being connected to the downed operation server.

2. Load balancing check

In addition, the load balancing unit 146 may check the load status (currently available sessions, network usage, etc.) of each of the plurality of operation servers at a specific period to prevent the franchise terminal 110 from being connected to the overloaded server have.

3. Network proximity check

The load balancing unit 146 measures the round trip time (RTT) of the network section between the merchant terminal 110 and each of the operation servers to determine whether the operation server and the merchant terminal 110 having a quick response Can be connected.

That is, the load balancing unit 146 may connect the operating server and the merchant terminal 110 in consideration of the current network state.

4. Geographic proximity

In addition, the load balancing unit 146 may select a specific operation server among a plurality of operation servers in consideration of the geographical location of the merchant terminal 110. [

For example, in the case of a country where the RTT is less than 10 ms, such as in Korea, there is no significant correlation. However, in the case of a country having a large RTT between the east and the west such as the United States, the local DNS server set in the network environment of the merchant terminal 110 By selecting the nearest server, a fast response speed can be provided.

Generally, geographically close RTTs are small, so network proximity and geographical location results are often the same, but they can have different consequences if network failure or congestion occurs.

5. Operator policy (admin policy)

In addition, the load balancing unit 146 may select a specific operation server among a plurality of operation servers according to an operator's policy. The operator's policy may randomly select an operation server, If the performance of the A server is higher than that of the B server, the traffic of the A server and the B server is set to a specific ratio (for example, (For example, 2: 1)).

That is, the load balancing unit 146 improves the stability of the system by connecting the optimal server among the plurality of operational servers, which can perform the same function, to the merchant terminal 110, It is possible to increase the availability of the cloud server 140 because of preventing the traffic from being concentrated, and it is possible to deal with the traffic processing and the failure more quickly.

Meanwhile, the monitoring unit 147 may monitor the access of the merchant terminal 110 to the storage unit 142 connected to the main (master) storage unit and a plurality of sub-slave storage units to generate a log and provide the log .

3 is a flowchart illustrating a process of providing settlement information by the cloud server 140 according to an embodiment of the present invention.

For reference, the cloud server 140 includes a plurality of operating servers.

First, the cloud server 140 connects a specific operation server among a plurality of operation servers to an affiliate terminal 110 according to a specific selection criterion when the affiliate terminal 110 is connected (S301).

Here, the specific selection criterion may include at least one of an operational server health check, a load balancing check, a network proximity check, a geographic proximity, and an admin policy. And a detailed description thereof will be omitted since it has been described above.

After S301, the cloud server 140 can receive payment information from the merchant terminal 110 (S302).

At this time, the received payment information may be encrypted using SSL (Secure Socket Layer) method, and the cloud server 140 may decrypt the encrypted payment information or may encrypt the encrypted payment information using another method.

In addition, the cloud server 140 can monitor the traffic received in S302 in real time using Unified Threat Management (UTM).

After step S302, the cloud server 140 may distribute and store the payment information received in step S302 into a master storage and a plurality of slave storage, respectively (S303).

At this time, the cloud server 140 can encrypt and store the payment information using the SSH (Secure Shell) method.

For reference, the number of slave repositories can be flexibly adjusted depending on the service function or the addition of users (vendors).

After step S303, the cloud server 140 extracts a specific information pattern based on the association between the payment information accumulated in the master repository and the plurality of sub-slave repositories, and extracts a specific prediction result based on the extracted specific information pattern (S304).

Details for extracting the specific information pattern are omitted in the above description.

After receiving the request for the specific prediction result from the franchisee terminal 110 (S304), the cloud server 140 may provide the requested specific prediction result to the franchisee terminal 110 (S305).

At this time, the cloud server 140 can encrypt and transmit a specific prediction result provided to the merchant terminal 110, and can monitor the traffic transmitted in S305 in real time using the Unified Threat Management (UTM) .

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included within the scope of the present invention.

100: Payment information providing system
110: merchant terminal, 120: VAN server, 130: card company server
140: cloud server
141: payment information receiving unit, 142:
143: information pattern extracting unit, 144: prediction result providing unit
145: security processing unit, 146: load balancing unit
147:

Claims (14)

In a payment system,
An agent terminal requesting approval of the payment when payment is requested;
A card issuer server for performing the approval for the settlement and transmitting the performed approval result;
A VAN server for transmitting an approval request for the settlement received from the merchant terminal to the card company server, receiving the approval result from the credit card company server, and transmitting the authorization result to the merchant terminal; And
The method includes storing and accumulating payment information for the payment, extracting a specific information pattern based on the association between the accumulated payment information, and providing a specific prediction result generated based on the extracted specific information pattern to the merchant terminal A cloud server;
.
A cloud server for managing settlement related information,
A payment information receiver for receiving payment information from the merchant terminal;
An information pattern extracting unit for analyzing the payment information and extracting a specific information pattern based on the association between the payment information;
A specific prediction result generation unit for generating a specific prediction result based on the extracted specific information pattern; And
And a storage unit for storing the payment information, a specific information pattern, and a specific prediction result.
3. The method of claim 2,
A prediction result providing unit for providing the generated specific prediction result to the franchisee terminal according to a request from the franchisee terminal;
And a cloud server.
3. The method of claim 2,
A security processing unit for decrypting the payment information encrypted and received, and encrypting the payment information, the specific information pattern, and the specific prediction result stored in the storage unit;
And a cloud server.
5. The method of claim 4,
The security processing unit performs encryption and decryption using at least one of a Secure Socket Layer (SSL) and a Secure Shell (SSH) security method, and uses the Unified Threat Management (UTM) A cloud server that real-time monitors traffic transmitted and received between merchant terminals.
3. The method of claim 2,
A plurality of operating servers including the payment information receiving unit, the information pattern extracting unit, and the prediction result generating unit; And
A load balancing unit that selects any one of the operation servers based on a specific selection criterion and connects the selected operation server to the affiliated terminal;
Wherein the specific selection criteria includes at least one of a health check of the operational server, a load balancing check, a network proximity check, a geographic proximity and an admin policy ). ≪ / RTI >
3. The method of claim 2,
Wherein the storage unit stores the payment information in a master repository and a plurality of sub-repositories connected to the main repository.
3. The method of claim 2,
A monitoring unit for monitoring access of the merchant terminal to the storage unit and generating a log;
And a cloud server.
3. The method of claim 2,
Wherein the payment information includes at least one of merchant information, purchase product information, credit card information, and benefit information.
As for how the cloud server manages payment related information,
(a) receiving payment information from a merchant terminal;
(b) storing the received payment information;
(c) analyzing the stored payment information and extracting a specific information pattern based on the association between the stored payment information; And
(d) generating a specific prediction result based on the extracted specific information pattern;
Related information management method.
11. The method of claim 10,
(e) providing the generated specific prediction result to the franchisee terminal according to a request from the franchisee terminal;
Further comprising the steps of:
11. The method of claim 10,
(e) encrypting and storing the specific information pattern and the specific prediction result;
Further comprising the steps of:
11. The method of claim 10,
(C) decrypting the payment information encrypted and stored;
Related information management method.
11. The method of claim 10,
Wherein the payment information includes at least one of merchant information, purchase product information, credit card information, and benefit information.
KR1020130022400A 2013-02-28 2013-02-28 Method, cloud server and payment system for managing related payment information KR20140108472A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190002894U (en) * 2017-12-14 2019-11-22 밍탁 추이 Cloud biometric payment and retail management systems and payment methods

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190002894U (en) * 2017-12-14 2019-11-22 밍탁 추이 Cloud biometric payment and retail management systems and payment methods

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