KR20220079736A - Method and system for managing user reputation based on blockchain - Google Patents

Abstract

Disclosed is a method and system for managing user's reputation based on blockchain.
According to an embodiment of the present invention, as a method for managing a reputation, one or more first application servers collect reputation information of one or more other users for use of an application service and identification information of the other users. registering in the blockchain network; When the block chain network, the account of the reputation processing system requesting sharing of the registered reputation information is satisfied with the first smart contract node of the block chain network, the registered reputation information and sharing the registered identification information with the reputation processing system. classifying, by the reputation processing system, the shared reputation information into preset grades using a model trained to classify the reputation information; and registering, by the reputation processing system, the classified reputation information and the shared identification information in the block chain network.

Description

Method and system for managing user's reputation based on blockchain

The present invention relates to a method and system for managing the reputation of application users, and more particularly, to a method and system for integrally managing the reputation of users using a blockchain-based smart contract.

The content described in this section merely provides background information on the present invention and does not constitute the prior art.

As wireless communication technology develops and demand for mobile services increases, various types of application services (app services) are being provided.

Among users who use app services, there are malicious users who anomalously use or abuse services provided by app servers (company providing app services). For example, if the app service is a service for trading goods, such as 'Used Market', 'Carrot', 'Flea Market', 'Used Country', etc. Or, there are malicious users who deliver a completely different type of product from the registered one. These malicious users repeat malicious actions by resubscribing to other app services that provide similar services.

Many existing app servers (app service providers) have accumulated user feedback (reputation) in order to block malicious users from signing up to manage their reputation, and have used this for user management. . However, it is not easy in terms of cost for small-scale companies to self-manage the reputation of a large number of users. In addition, since many existing app servers do not share the reputation of users managed by themselves, it is difficult to block malicious users who re-subscribe to other app services, which can be said to be inefficient.

A method of managing the reputation of users dispersed in many app servers can be considered by integrating with a centralized server, but in this case, user information can be easily leaked due to an administrator's mistake or malicious attack. In addition, there is a risk that personal information may be misused by the administrator in this method.

An embodiment of the present invention has a main purpose to provide a method for protecting users' personal information while being able to manage users' reputations in an integrated way.

According to an embodiment of the present invention, as a method for managing a reputation, one or more first application servers collect reputation information of one or more other users for use of an application service and identification information of the other users. registering in the blockchain network; When the block chain network, the account of the reputation processing system requesting sharing of the registered reputation information is satisfied with the first smart contract node of the block chain network, the registered reputation information and sharing the registered identification information with the reputation processing system. classifying, by the reputation processing system, the shared reputation information into preset grades using a model trained to classify the reputation information; and registering, by the reputation processing system, the classified reputation information and the shared identification information in the block chain network.

According to another embodiment of the present invention, there is provided a system for managing a reputation, comprising: a blockchain network composed of a plurality of blockchain nodes; one or more first application servers; and a reputation processing system, wherein the first application servers register reputation information of one or more other users for use of the application service and identification information of the other users in a blockchain network, and the blockchain network includes , when the account of the reputation processing system requesting sharing of the registered reputation information is satisfied with the first smart contract node of the blockchain network, the registered reputation information and the registered identification information is shared with the reputation processing system, the reputation processing system classifies the shared reputation information into preset grades using a model trained to classify the reputation information, and the classified reputation information and the sharing It provides a system characterized by registering the identified identification information in the block chain network.

As described above, according to an embodiment of the present invention, since the reputation of users distributed in many app servers can be integrated and shared with various app servers, a malicious user can re-subscribe to other app services actions can be prevented in advance.

In addition, according to another embodiment of the present invention, since the user's personal information is encrypted and registered in the block chain, it is possible to protect the user's personal information.

1 is an exemplary diagram for explaining a reputation management system and related components.
2 is a block diagram for explaining the configuration of a flat plate processing system.
3 is a flowchart illustrating an example of a method for managing user's reputation.
4 is a flowchart illustrating an example of a method of classifying user's reputation into preset ratings.
5 is a block diagram illustrating a machine learning model for classifying reputation information.
6 is a flowchart illustrating an example of a method of sharing user's reputation.
7 is a flowchart illustrating an example of a method of grouping user reputations into a plurality of groups.
8 is a block diagram illustrating a machine learning model for grouping reputation information.
9 is a flowchart illustrating an example of a method for sharing grouping information.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

In addition, in describing the components of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. Throughout the specification, when a part 'includes' or 'includes' a certain element, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. . In addition, the '... Terms such as 'unit' and 'module' mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software.

1 is an exemplary diagram for explaining a system (hereinafter referred to as a 'reputation management system') and related configurations for managing user's reputation for using an application (app) or application service (app service).

One or more user devices (110-m, m is a natural number greater than or equal to 1) are electronic devices possessed or used by users who use the app service, and are implemented in various forms such as mobile, tablet PC, PDA, and desktop PC as shown in FIG. 1 . it might be

The user device 110-m may perform a function for users to access various app servers 120-n, where n is a natural number equal to or greater than 1). Also, the user device 110 - m may perform a function of providing an app service provided by the app servers 120 - n to users. Furthermore, the user device 110-m may also perform a function of registering the reputation (reputation information) of users with respect to other users who have used the same app service in the app server 120-n that provides the corresponding app service. .

In this specification, users are divided into a first user, a second user, and a third user. That is, the users may be divided into a first user, a second user, and a third user. The first user corresponds to a user who registers reputation information about the use of the app service of another user in the app server 120-n. The second user and the third user correspond to users who request subscription to an app service. The second user and the third user may be general users who do not fall under the blocking target, or may be malicious users that do not fall under the blocking target. Accordingly, processes for determining whether the second user and the third user are subject to blocking may be applied to the subscription requests of the second user and the third user. Each of the first user, the second user, and the third user may be one or more.

The user device 110 - m may be divided into a first user device 112 , a second user device 114 , and a third user device 116 . The first user device 112 corresponds to a device used by the first user who registers reputation information for other users' use of the app service in the app server 120-n. The second user device 114 and the third user device 116 correspond to devices used by the second and third users to request subscription to an app service.

Since each of the first user, the second user, and the third user is one or more, each of the first user device 112 , the second user device 114 , and the third user device 116 used by them may be one or more. .

As described above, since the user device 110 - m corresponds to a device owned or possessed by users, the user device 110 - m and a user using the corresponding user device 110 - m may be identified. Accordingly, the first user and the first user device 112 may be identified, the second user and the second user device 114 may be identified, and the third user and the third user device 116 may also be identified. can

One or more app servers 120-n are servers possessed or managed by an operator or administrator providing app services, and may perform wired/wireless communication with the user device 110-m and the reputation processing system 140 . Also, the app server 120-n may perform wired/wireless communication with the block chain network 130 .

The app server 120-n may perform a function of providing an app service provided by itself to the user device 110-m. In addition, the app server 120-n may perform a function of registering and sharing reputation information for other users received from the user device 110-m with the block chain network 130 . Furthermore, the app server 120-n receives the reputation information (reputation information classified by a level set in advance in the management system) from the reputation processing system 140, and uses the shared reputation information (classified reputation information) to create a new User management such as blocking or approving the subscription of a second or third user who wants to join may be performed.

In this specification, the app servers 120-n are divided into a first app server 122 , a second app server 124 and a third app server 126 . That is, the app servers 120-n may be divided into a first app server 122 , a second app server 124 , and a third app server 126 .

The first app server 122 corresponds to a server that registers reputation information on the app service use of other users provided by the first user to the block chain network 130 . The second app server 124 and the third app server 126 receive the app service subscription requests of the second and third users, and transmit the reputation information and grouping information of the second and third users to the block chain network 130 ) corresponds to the server shared from Each of the first app server 122, the second app server 124 and the third app server 126 may be one or more.

The blockchain network 130 may be composed of a plurality of blockchain nodes 132 .

Blockchain is a data forgery prevention technology that distributes and stores managed data in the form of a chain created based on a peer-to-peer (P2P) format instead of a centralized system.

A plurality of blocks (blockchain nodes) are bundled and stored in a chain form, and the blockchain nodes 132 are sequentially connected over time. Since the blockchain is a distributed ledger structure, everyone who participates in the 　blockchain　network 130 owns the ledger for transactions, and when checking the transaction details, it is necessary to collate and verify the ledgers owned by all users. Even when you want to add a block (node) for an additional transaction, arbitrary manipulation is impossible because the validity of the transaction must be verified by everyone participating in the 　blockchain　network 130.

Existing centralized systems have a risk of hacking, but since all users store data in blockchain, a malicious attacker must attack all user transaction data in order to forge or forge it. Therefore, in blockchain, it is virtually impossible to hack, so the transparency of transactions can be recognized.

The blockchain network 130 may register reputation information provided from the app servers 120-n to one or more blockchain nodes 132 , and share this reputation information with the reputation processing system 140 . In addition, the blockchain network 130 registers the reputation information (classified reputation information) or grouping information provided from the reputation processing system 140 to one or more blockchain nodes 132, and registers them with the app servers 120-n ) can be shared.

The blockchain nodes 132 may include one or more smart contract nodes. The smart contract node is a blockchain node 132 that includes various conditions used in the present invention.

Various conditions include the first condition on whether the account of the reputation processing system is satisfied with the smart contract node (corresponding to the account registered in the smart contract node), the account of the second app server 124, and the second user The second condition for whether or not the identification information of the smart contract node is satisfied (the account and identification information registered in the smart contract node) is satisfied with the smart contract node (smart contract node) A third condition on whether or not it matches the account and identification information registered to may be included.

A smart contract node with a first condition registered is referred to as a first smart contract node, a smart contract node with a second condition registered is referred to as a second smart contract node, and a smart contract node with a third condition registered is referred to as a third Let's call it a smart contract node.

Smart contract is a technology that concludes and executes various types of contracts based on blockchain. In a smart contract, the process of contract execution and verification is automated through the network, so that the effect of rights and obligations between the contracting parties, the client, is achieved without the intervention of an intermediary, etc. It is direct, electronic, and instantaneous.

The reputation processing system 140 is an electronic device that integrally manages users' reputation information, and may perform wired/wireless communication with the app server 120-n and the block chain network 130 .

The reputation processing system 140 receives the reputation information registered in the blockchain network 130 by the app server 120-n to be shared from the blockchain network 130, classifies them into preset grades, and the classified reputation The information can be re-registered in the blockchain network 130 .

Reputation information corresponds to information in which the first user evaluated other users who used the same app service as himself. Here, the target of evaluation may be a method, process, result, etc. of other users using the corresponding app service. For example, the first user evaluates the method, process, result, etc. of other users' use of the app service, and according to the evaluation method (evaluation criteria) provided by the app server 120-n, the reputation of the other user Information may be registered in the app server 120-n.

Reputation information may have different or the same evaluation grades according to the evaluation criteria provided by each of the app servers 120-n. For example, one app server 120-n may provide evaluation criteria divided from 1 to 5, and in another app server 120-n, three steps of 'recommended', 'normal' and 'not recommended'. Evaluation criteria that are divided into , may be provided.

The identification information is an identification (ID) of each user capable of distinguishing each of the users. In the present invention, various types of information that can identify each user can be used as identification information. For example, phone number information, usim information, ip address, and the like of each of the user devices 110 - m may be used as identification information. In addition, each user's address, name, etc. may be used as identification information. Identification information may be extracted from personal information that users provide to the app servers 120-n in the process of requesting a subscription to the app service.

Even when a tablet PC, a desktop PC, or the like is used as the user device 110-m, phone number information of each of the user devices 110-m may be used as identification information. For example, in the process of a user requesting to subscribe to an app service using a desktop PC, the app servers 120 - n may request authentication of a mobile device possessed by the corresponding user, and through this authentication request, the corresponding user Mobile phone number information possessed by the user may be collected.

Accordingly, even when the corresponding user requests to subscribe to another app service, the app server 120 - n that provides the other app service may determine who the corresponding user is by using the phone number information collected in advance. As a result, the user may prevent the user from evading or deceiving his/her reputation by requesting a subscription with the phone number information of another user using different user devices 110-m.

2 is a block diagram for explaining the configuration of the reputation processing system 140, and FIG. 3 is a flowchart for explaining an example of a method for managing reputation information. 4 is a flowchart illustrating an example of a method of classifying reputation information into preset grades, and FIG. 5 is a block diagram illustrating a machine learning model 240 for classifying reputation information.

As shown in FIG. 2 , the reputation processing system 140 includes a memory 210 , a processor 220 , a communication unit 230 , a reputation information classification machine learning model 240 , and a reputation information grouping machine learning model 250 . can be configured.

The communication unit 230 corresponds to a configuration for performing communication with the app servers 120-n and the block chain network 130 . The process of sharing reputation information and identification information from the block chain network 130 and the process of sharing the classified reputation information and grouping information with the block chain network 130 may be performed through the communication unit 230 .

One or more programs for managing reputation information are recorded in the memory 210 . In addition, the memory 210 may further store identification information of users, a scaling factor preset for each of the app servers 120-n, preset grades, reputation information of users, preset differences, and the like.

The processor 220 may execute programs recorded in the memory 210 to perform reputation information management. In addition, the processor 220 may classify the reputation information of the first users into preset ratings by using the reputation information classification machine learning model 240 trained to classify the reputation information into preset ratings. Furthermore, the processor 220 may group the reputation information of the first users into a plurality of groups by using the reputation information grouping machine learning model 250 trained to group the reputation information into a plurality of groups.

At least one of the reputation information classification machine learning model 240 and the reputation information grouping machine learning model 250 may be located within the reputation processing system 140 as shown in FIG. 2 or located outside the reputation processing system 140 . have.

Referring to FIG. 3 , when the first user inputs reputation information of one or more other users for using the app service to the first user device 112 ( S302 ), the first user device 112 displays the input reputation information is transmitted to the first app server 122 that provides the corresponding app service (S304).

The first app server 122 selects the identification information of other users from the identification information of users stored therein (S306), and registers the transmitted reputation information and the selected identification information in the block chain network (S308).

The block chain network 130 transmits a notification (noti.) notifying that the reputation information is registered to the reputation processing system 140 (S310). In addition, when a request (reputation information sharing request, transaction query) that is a response to the notification is transmitted from the reputation processing system 140 (S312), the block chain network 130 transmits the account of the reputation processing system 140 to the first smart It is determined whether it matches the account registered in the contract node (S314). The block chain network 130 shares the reputation information and identification information of other users with the reputation processing system 140 when the first smart contract is satisfied (S316).

The reputation processing system 140 classifies the reputation information into preset grades using the reputation information classification machine learning model 240 (S318). Here, since the evaluation information has an evaluation level according to each evaluation criterion of the plurality of first app servers 122, a standardized level is required to manage it in an integrated manner. The preset grades may correspond to standardized evaluation grades.

In order to classify the reputation information, the reputation information classification machine learning model 240 uses the reputation information, the scaling coefficients and preset grades of each of the first app servers 122 as a training data set as shown in FIG. , can be learned in advance to scale reputation information and output classified reputation information from the scaled reputation information.

A specific example of classifying reputation information into preset grades is shown in FIG. 4 . When reputation information having an evaluation grade according to each of the first app servers 122 is shared (S402), the reputation information classification machine learning model 240 is preset for each of the first app servers 122 The (shared) reputation information may be scaled by applying a scaling factor to the (shared) reputation information (S404). In addition, the reputation information classification machine learning model 240 may classify the scaled reputation information into preset grades (S406).

Referring back to FIG. 3 , when the classification of the evaluation information is completed, the reputation processing system 140 registers the classified evaluation information and the shared identification information in the block chain network 130 ( S320 ).

According to the embodiment, the identification information registered in the block chain network 130 in the process S308 may be identification information encrypted in the first app server 122 . As a method of encrypting identification information, a hashing technique using a hash function may be used.

To this end, the first app servers 122 may store a hash function in advance, hash the identification information using the stored hash function, and register the hashed identification information in the block chain network 130 .

However, the first app servers 122 do not register a hash key for verifying hashed identification information in the blockchain network 130 . Therefore, even if the identification information is leaked, only the legitimate app server 120-n that knows the hashing key and other user's information can know whose personal information the corresponding identification information is, so the damage of personal information leakage can be prevented. have.

According to an embodiment, the reputation processing system 140 may integrate the graded evaluation information based on the identification information. That is, the reputation processing system 140 may aggregate one or more ratings for the same other user.

Meanwhile, different first users may evaluate different reputations with respect to the use of the app service of one other user. In this case, a plurality of reputation information having different ratings may be generated for one different user (same identification information), and the plurality of reputation information may be classified into different ratings.

In this case, the reputation processing system 140 1) registers all of the plurality of reputation information classified into different grades in the block chain network 130, or 2) the highest grade or the most among the plurality of reputation information. Reputation information classified as a low grade may be registered in the block chain network 130 . In addition, the reputation processing system 140 3) calculates the average or median value of the plurality of reputation information, and registers the reputation information of the closest grade to the calculated value among the preset grades in the block chain network 130 You may.

6 is a flowchart illustrating an example of a method of sharing reputation information in order to block a malicious second user from joining.

First, the second user may request to subscribe to the app service provided by the second app server 124 by providing his/her personal information to the second app server 124 using the second user device 114 ( S602).

The second app server 124 generates the identification information of the second user from the personal information of the second user (S604), and uses the identification information of the second user (registers the identification information of the second user in the blockchain network) )), a request (transaction query) of the second user's reputation information can be shared to the block chain network 130 (S606).

The block chain network 130 determines whether the account of the second app server 124 and the identification information of the second user are satisfied with the second smart contract node (S608). Specifically, the block chain network 130 corresponds to the account of the second app server 124 and the account registered in the second smart contract node, and the second user's identification information is registered reputation information (classified reputation information). ) to determine whether it corresponds to any one of them. Here, the reputation information corresponding to the identification information of the second user means reputation information registered by the first user for the second user's use of the app service.

When the second smart contract node is satisfied, the block chain network 130 selects reputation information corresponding to the identification information of the second user from among the registered reputation information (S610), and transfers the selected reputation information to the second app server It is shared to (124) (S612).

The second app server 124 that has received the shared reputation information of the second user may determine whether to allow the subscription of the second user based on the shared reputation information (S614). For example, the second app server 124 may disallow the subscription of the second user when the reputation information of the second user is a relatively low rating among preset ratings. This is because there is a high possibility that the second user corresponds to a malicious user. Alternatively, the second app server 124 may allow the subscription of the second user when the reputation information of the second user is a relatively high rating among preset ratings. This is because the possibility that the second user corresponds to a malicious user is low.

7 is a flowchart illustrating an example of a method of grouping reputation information into a plurality of groups, and FIG. 8 is a block diagram illustrating a machine learning model 250 for grouping reputation information.

The reputation processing system 140 may group the classified reputation information into several groups using the reputation information grouping machine learning model 250 ( S702 ). The groups may include one or more blacklist groups corresponding to the blocking target and one or more general groups not corresponding to the blocking target.

As a method of grouping the reputation information, 1) a method of setting a rating range for each group in advance and grouping the reputation information into a group set as a rating range to which the rating of the corresponding reputation information belongs may be used. In addition, 2) as a method of grouping reputation information, a method of calculating a rating difference between reputation information (S704) and grouping reputation information whose rating difference is less than or equal to a preset difference into one group (S706) may be used. . The method of 2) is to group reputation information with a close grade difference (grade distance) into one group.

As shown in FIG. 8 , in order to implement the grouping method of 2), the reputation information grouping machine learning model 250 is trained in advance to output grouping information by using the classified reputation information and a preset difference as a training data set. can be

When the grouping is completed, the reputation processing system 140 may register the result of grouping the reputation information (grouping information) and identification information of each of the reputation information in the block chain network 130 (S710).

According to an embodiment, the second app server 124 may request a group to which the second user belongs or whether the second user belongs to a blacklist group corresponding to a blocking target. In the latter case, it may be appropriate for the reputation processing system 140 to register the grouping information for the reputation information grouped into the blacklist group in the block chain network 130 for quick confirmation.

Accordingly, the reputation processing system 140 may further perform the process of selecting the reputation information grouped into the blacklist group from among the grouped reputation information ( S706 ). In this case, the reputation processing system 140 may register grouping information for the reputation information grouped into the blacklist group in the block chain network 130 (S710).

9 is a flowchart illustrating an example of a method of sharing grouping information in order to block a malicious third user from joining.

First, the third user may request to subscribe to the app service provided by the third app server 126 by providing his/her personal information to the third app server 126 using the third user device 116 . (S902).

The third app server 126 generates the third user's identification information from the third user's personal information (S904), and uses the third user's identification information (the third user's identification information is registered in the blockchain network) ) may request (transaction query) the third user's grouping information to the block chain network 130 (S906).

The blockchain network 130 determines whether the account of the third app server 126 and the identification information of the third user are satisfied with the third smart contract node (S908). Specifically, in the block chain network 130, the account of the third app server 126 matches the account registered in the third smart contract node, and the third user's identification information corresponds to any one of the registered grouping information. decide whether or not Here, the grouping information corresponding to the identification information of the third user means grouping information about the reputation information registered by the first user for the third user's use of the app service.

When the third smart contract node is satisfied, the block chain network 130 selects grouping information corresponding to the identification information of the third user from among the registered grouping information (S910), and transfers the selected grouping information to the third app server (126) to share (S912).

The third app server 126 that has received the third user's grouping information shared may determine whether to allow the third user's subscription based on the shared grouping information (S914). For example, when the third user's grouping information is a relatively low group, the third app server 126 may disallow the third user to join. This is because there is a high possibility that the third user corresponds to a malicious user. Alternatively, the third app server 126 may allow the third user to join when the third user's grouping information is a relatively high group. This is because the possibility that the third user corresponds to a malicious user is low.

In the case of the embodiment in which the reputation processing system 140 registers the grouping information for the reputation information grouped into the blacklist group in the block chain network 130, the grouping information of the third user (the third user belongs to the blacklist group) means) may mean that the third user corresponds to a malicious user. In this case, the third app server 126 may determine whether to allow the third user to join according to whether grouping information for the third user is shared from the block chain network 130 . For example, the third app server 126 disallows the third user's subscription when the third user's grouping information is shared, and allows the third user's subscription when the third user's grouping information is not shared. can allow

3, 4, 6, 7 and 9 describe that each process is sequentially executed, this is merely illustrative of the technical idea of an embodiment of the present invention. In other words, those of ordinary skill in the art to which an embodiment of the present invention pertains will not depart from the essential characteristics of an embodiment of the present invention. It will be possible to apply various modifications and variations by changing and executing one or more of each process in parallel. Accordingly, FIGS. 3, 4, 6, 7 and 9 are not limited to a time-series order.

Meanwhile, each of the processes illustrated in FIGS. 3, 4, 6, 7 and 9 may be implemented as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored. That is, the computer-readable recording medium may be a non-transitory medium such as ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage device, and also carrier wave (eg, It may further include transitory media such as transmission over the Internet) and data transmission medium. In addition, the computer-readable recording medium is distributed in network-connected computer systems, and computer-readable codes may be stored and executed in a distributed manner.

The above description is merely illustrative of the technical idea of this embodiment, and a person skilled in the art to which this embodiment belongs may make various modifications and variations without departing from the essential characteristics of the present embodiment. Accordingly, the present embodiments are intended to explain rather than limit the technical spirit of the present embodiment, and the scope of the technical spirit of the present embodiment is not limited by these embodiments. The protection scope of this embodiment should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present embodiment.

110-m: user device 120-n: application server
130: blockchain network

Claims (16)

A method for managing reputation comprising:
Registering, by one or more first application servers, reputation information of one or more other users for use of the application service and identification information of the other users in the blockchain network;
When the block chain network, the account of the reputation processing system requesting sharing of the registered reputation information is satisfied with the first smart contract node of the block chain network, the registered reputation information and sharing the registered identification information with the reputation processing system.
classifying, by the reputation processing system, the shared reputation information into preset grades using a model trained to classify the reputation information; and
and registering, by the reputation processing system, the classified reputation information and the shared identification information in the block chain network. According to claim 1,
The first application servers,
Hashing the identification information of the other users using a hash function, and registering the hashed identification information in the block chain network,
Method, characterized in that the hash key (hash key) for verifying the hashed identification information is not registered in the blockchain network. According to claim 1,
Reputation information of the other users,
Has an evaluation grade according to the evaluation criteria of each of the first application servers,
The classification step is
scaling the shared reputation information according to a scaling factor preset for each of the first application servers; and
and classifying the scaled reputation information into the preset grades. According to claim 1,
The step of registering the classified reputation information and the shared identification information in the block chain network,
A method characterized in that among the reputation information classified into different grades for the same identification information, the reputation information classified as the lowest grade is registered in the block chain network. According to claim 1,
requesting, by the second application server, to share the reputation information to the block chain network using the identification information of the second user; and
The block chain network, the account of the second application server
and when the identification information of the second user is satisfied with the second smart contract node of the block chain network, reputation information corresponding to the identification information of the second user from among the classified reputation information is transferred to the second application server. The method of claim 1, further comprising the step of sharing. According to claim 1,
grouping, by the reputation processing system, the classified reputation information into groups including a blacklist group by using a model trained to group the reputation information; and
The method further comprising the step of registering, by the reputation processing system, the grouping information and corresponding identification information with respect to the one or more reputation information grouped into the blacklist group, in the block chain network. 7. The method of claim 6,
The grouping step is
calculating a grade difference between the classified reputation information; and
and grouping reputation information whose rating difference is less than or equal to a preset difference into one group. 7. The method of claim 6,
requesting, by a third application server, to share the grouping information to the block chain network by using the third user's identification information; and
The block chain network is the account of the third application server
and when the identification information of the third user is satisfied with the third smart contract node of the block chain network, sharing grouping information corresponding to the identification information of the third user among the grouping information to the third application server. Method, characterized in that it further comprises. As a system for managing reputation,
a blockchain network composed of a plurality of blockchain nodes;
one or more first application servers; and
including a reputation processing system;
The first application servers,
Registering the reputation information of one or more other users for the use of the application service and the identification information of the other users in the blockchain network,
The blockchain network is
When the account of the reputation processing system requesting sharing of the registered reputation information is satisfied with the first smart contract node of the block chain network, the registered reputation information and the registered identification information are shared with the reputation processing system,
The flat plate processing system,
A system characterized in that the shared reputation information is classified into preset grades using a model trained to classify reputation information, and the classified reputation information and the shared identification information are registered in the block chain network. . 10. The method of claim 9,
The first application servers,
Hashing the identification information of the other users using a hash function, and registering the hashed identification information in the block chain network,
A hash key for verifying the hashed identification information is not registered in the blockchain network. 10. The method of claim 9,
Reputation information of the other users,
Has an evaluation grade according to the evaluation criteria of each of the first application servers,
The flat plate processing system,
Scaling the shared reputation information according to a scaling factor preset for each of the first application servers,
The system according to claim 1, wherein the scaled reputation information is classified into the preset grades. 10. The method of claim 9,
The flat plate processing system,
A system characterized in that among the reputation information classified into different ratings for the same identification information, the reputation information classified as the lowest rating is registered in the block chain network. 10. The method of claim 9,
Using the second user's identification information, further comprising a second application server for requesting the sharing of reputation information to the block chain network,
The blockchain network is
account of the second application server
and when the identification information of the second user is satisfied with the second smart contract node of the block chain network, reputation information corresponding to the identification information of the second user from among the classified reputation information is transferred to the second application server. A system characterized in that it is shared. 10. The method of claim 9,
The flat plate processing system,
Using a model trained to group reputation information, the classified reputation information is grouped into groups including a blacklist group,
With respect to the one or more reputation information grouped into the blacklist group, the grouping information and the identification information corresponding thereto are registered in the block chain network. 15. The method of claim 14,
The flat plate processing system,
Calculate the grade difference between the classified reputation information,
The system according to claim 1, wherein the reputation information whose rating difference is less than or equal to a preset difference is grouped into one group. 15. The method of claim 14,
Using a third user's identification information, further comprising a third application server for requesting the sharing of the grouping information to the block chain network,
The blockchain network is
account of the third application server
and when the identification information of the third user is satisfied with the third smart contract node of the block chain network, sharing grouping information corresponding to the identification information of the third user among the grouping information to the third application server Characterized system.

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