CN108428121B - Data sharing and excitation method and system for counter-side calculation - Google Patents
Data sharing and excitation method and system for counter-side calculation Download PDFInfo
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Abstract
The invention provides a data sharing and excitation method and system for counter party calculation, which are based on a block chain technology and used for sharing data of a third party between a first party and a second party, and comprise the following steps: providing an analysis model supported by a second party to a first party so that the first party applies for and obtains authorization of a third party for accessing data of the second party; receiving a data sharing application sent by a first party, wherein the application comprises the analysis model and is recorded in a block chain; according to the sharing application of the first party, model calculation and charging are carried out on data authorized to be accessed by the third party by using the analysis model; and returning a request response result to the first party to form a request response result record and record the request response result record to the block chain. The invention is convenient for enterprise discovery and transaction implementation in a many-to-many mode, ensures reliable and credible transaction, is convenient for realizing micropayment by utilizing token and is convenient for forming a good data sharing ecological environment.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a data sharing and excitation method and system for opposite side calculation.
Background
In the current trading market, a fully open trading environment is not formed, and the problems of high opening cost, more trading mode constraints, incapability of transmitting trust, difficult authorization and the like exist. The essential reasons are that: firstly, a reliable trust mechanism is lacked, and the authorization of a user faces higher risks, such as information leakage, information being badly utilized and the like; secondly, the privacy of the enterprise is difficult to ensure, the cost for cooperation of the other party is high, and all or part of the database of the enterprise is usually required to be opened; thirdly, the cooperation mode has defects, the cooperation protocol content is mostly completed as the target, and a mechanism and power for mining the cooperation potential are not provided.
Chinese patent publication No. CN107067243A discloses a design and circulation method of a shared value token (GDS-Coin) for realizing a measure of a shared value of a real object or data in a block chain. The method enables the Value sharing measure (GDTP-Value) of the real object or the data under different scenes to be realized through the Value sharing token. Meanwhile, in the process of sharing value token circulation, the automatic legal transfer of the real object or data asset between the participant A and the participant B is realized through controlling the sharing safety process.
However, the shared value transaction of the above patent only occurs between two participants, and cannot satisfy the shared value transaction of three or more parties, and the shared value transaction of more than three parties in the real society is increasing, and the above patent cannot solve such problems.
Disclosure of Invention
In order to solve the problems, the invention provides a data sharing and incentive method for the opposite side calculation, which forms an open trading market by using a block chain technology and based on the opposite side calculation mode, and is convenient for enterprise discovery and trading implementation in a many-to-many mode. The invention aims to help ensure credibility and reliability of data sharing transaction between enterprises and realize token-based transaction consensus participation in a reward and consumption mechanism, so that the whole process is safe and reliable.
Specifically, according to an aspect of the present invention, there is provided a method for sharing and incentivizing data computed by a peer, based on a blockchain technique, for sharing data of a third party between a first party and a second party, comprising:
providing an analysis model supported by a second party to a first party so that the first party applies for and obtains authorization of a third party for accessing data of the second party;
receiving a data sharing application sent by a first party, wherein the application comprises the analysis model and is recorded in a block chain;
according to the sharing application of the first party, model calculation and charging are carried out on data authorized to be accessed by the third party by using the analysis model;
and returning a request response result to the first party to form a request response result record and record the request response result record to the block chain.
Preferably, the analysis model for providing the second party support to the first party further comprises: the amount of tokens consumed by the computational analysis model is determined by the computational complexity and resource consumption of the computational analysis model.
Preferably, the first party applying for and obtaining the third party's authorization to access the second party's data includes the following steps:
the first party obtains the authorization of the third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
Preferably, the receiving of the data sharing application sent by the first party, which includes the analysis model and is recorded in the blockchain, includes the following steps:
receiving a data sharing application sent by a first party;
the data sharing application is recorded in a blockchain and cannot be tampered through blockchain consensus, and meanwhile the third party obtains a token reward.
Preferably, the model calculation and billing comprises the following steps:
after receiving a sharing application of a first party, evaluating model calculation cost, if the consumption of the tokens in the application is less than the calculation cost, refusing to perform calculation and data sharing, and if not, entering model calculation;
performing model calculation, and calculating a result according to the requirement of the first party and a set calculation model;
and charging according to the charging mode.
Preferably, the returning the request response result to the first party to form a request response result record, and recording the request response result record to the blockchain includes the following steps:
after model calculation is completed, a request response result is generated and sent to the first party;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
Correspondingly, according to another aspect of the present invention, there is also provided a partner-computing data sharing and incentive system, based on blockchain technology, for sharing data of a third party between a first party and a second party, comprising:
the index providing module is used for providing an analysis model supported by the second party for the first party so as to enable the first party to apply for and obtain the authorization of the third party for accessing the data of the second party;
the application receiving module is used for receiving a data sharing application sent by a first party, wherein the application comprises the analysis model and is recorded to the block chain;
the calculation module is used for performing model calculation and charging on data authorized to be accessed by the third party by using the analysis model according to the sharing application of the first party;
and the result returning module is used for returning the request response result to the first party, forming a request response result record and recording the request response result record to the block chain.
According to another aspect of the present invention, there is provided a method for sharing and incentivizing data computed by a peer, based on a blockchain technique, for sharing data of a third party between a first party and a second party, comprising:
receiving an analytical model provided by a second party;
applying for and obtaining authorization of a third party for accessing the data of the second party;
sending a data sharing application to the second party, wherein the application comprises the analysis model and is recorded in the block chain;
and receiving a request response result sent by the second party, forming a request response result record and recording the request response result record to the block chain.
Preferably, the receiving the analysis model provided by the second party further comprises: the amount of tokens consumed by the computational analysis model is determined by the computational complexity and resource consumption of the computational analysis model.
Preferably, the applying for and obtaining the third party's authorization to access the second party's data includes the steps of:
obtaining authorization of a third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
Preferably, the sending of the data sharing application to the second party, wherein the application includes the analysis model and is recorded in the blockchain, includes the following steps:
sending a data sharing application to the second party;
the data sharing application is recorded in a blockchain and cannot be tampered through blockchain consensus, and meanwhile the third party obtains a token reward.
Preferably, the receiving a request response result sent by the second party, forming a request response result record, and recording the request response result record to the blockchain includes the following steps:
receiving a request response result sent by a second party to form a request response result record;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
Accordingly, according to yet another aspect of the present invention, there is provided a peer-to-peer computing data sharing and incentive system, based on blockchain technology, for sharing third-party data between a first party and a second party, comprising:
the index receiving module is used for receiving the analysis model provided by the second party;
the authorization obtaining module is used for applying for and obtaining the authorization of the third party on accessing the data of the second party;
the application sending module is used for sending a data sharing application to the second party, wherein the application comprises the analysis model and is recorded to the block chain;
and the result receiving module is used for receiving the request response result sent by the second party, forming a request response result record and recording the request response result record to the block chain.
Correspondingly, according to still another aspect of the present invention, there is provided an apparatus for data sharing and incentive of a partner computing, comprising:
one or more processors, storage devices storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the methods as described above.
Correspondingly, according to a further aspect of the invention, a device for data sharing and incentive of a partner computing is also provided, and the device comprises the system as described above.
Accordingly, according to yet another aspect of the present invention, there is also provided a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method as described above.
The invention has the following beneficial effects: the behavior of multi-party transaction can be recorded on the block chain, especially the authorization process from the user, so that the transaction is reliable and credible; finally, a token-based transaction consensus participation reward and consumption mechanism is provided, so that micropayments can be realized by utilizing tokens conveniently, and a good data sharing ecological environment can be formed conveniently.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of the data sharing and excitation method of the opposite side calculation.
FIG. 2 is a schematic structural diagram of a data sharing and incentive system for computation of the other party according to the present invention.
FIG. 3 is a schematic diagram of another data sharing and incentive system for computation of the other party according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The invention forms an open trading market by using a block chain technology and based on a mode of counter-side calculation, thereby facilitating enterprise discovery and trading implementation under a many-to-many mode; meanwhile, the behavior of multi-party transaction can be recorded on the block chain, especially the authorization process from the user, so that the transaction is reliable and credible; finally, a token-based transaction consensus participation reward and consumption mechanism is provided, so that micropayments can be realized by utilizing tokens conveniently, and a good data sharing ecological environment can be formed conveniently.
Fig. 1 is a flow chart of a data sharing and incentive method calculated by the other party.
As shown in fig. 1, a data sharing process is illustrated by taking two enterprises a and B as an example, the original data of the user C is stored in the database of the enterprise B, and the value of the data to the enterprise a is greater, so that the data sharing between the enterprise a and the enterprise B about the user C is realized, and the following steps are performed:
step S10, enterprise B provides the supported indexes such as original data type, format, range, analysis model and the like to enterprise A; further, there are many ways to calculate the number of tokens consumed by the disclosed computational analysis model: providing direct pricing or uniform pricing of a data sharing platform;
step S20, enterprise A strives to obtain user C authorization for accessing enterprise B data; further, user C may authorize access to some data rather than all data;
step S30, the enterprise A sends a data sharing application to the enterprise B, wherein the application comprises an analysis model, a signature authorized by the user C, a signature of the enterprise A and the like, and the application is recorded in a block chain (the consensus verifier obtains the token award amount);
step S40, after receiving the sharing application of A, enterprise B performs model calculation and charging (such as in the form of token); furthermore, settlement is respectively carried out according to the two calculation modes;
at step 50, enterprise B returns the request response result, forms a request response result record, and records the result record to the blockchain (consensus verification token award amount).
The process of step S10, enterprise B providing supported indicators of raw data type, format, scope, analytical model, etc. to enterprise a, is described in detail below, including the following steps:
step S101, the enterprise B provides the supported indexes such as the original data type, format, range, analysis model, etc. to the enterprise a, and actually, the information may be disclosed to all data sharing participants, and the main indexes include:
● description of raw data owned by the enterprise, such as the physical examination result data of the publicly owned users of the health physical examination institution;
● enterprises can disclose data ranges, such as the presence of disclosure options for various parameters in physical examination data, so that other enterprises can determine whether there is data of interest;
● enterprise-supported public data formats, such as storage formats, numbers of pieces, etc.;
●, the enterprise supports the description of the analysis model, the index is key, and the external calculation analysis model supported by the enterprise comprises input, output, calculation method, calculation model, etc., the analysis model generally provides the enterprise with the original data after communicating with each enterprise, such as enterprise B, and selects the supported calculation analysis model;
step S102, disclosing the amount of tokens to be consumed by the computational analysis model, where the amount of tokens is determined by the computational complexity and resource consumption of the computational analysis model, and there may be multiple computational methods: the method comprises the following steps that firstly, a provider directly performs pricing, for example, an enterprise B estimates the token consumption by itself, the token consumption of a computational analysis model is directly priced, and other enterprises use data of the enterprise B if the pricing is reasonable, otherwise, the data cannot be used; alternatively, the data sharing platform performs uniform pricing, i.e. the token consumption generated by various types of model operations is uniformly specified, similar to the unit price of commodities, and each enterprise can calculate the token consumption according to the calculation complexity of the calculation analysis model.
The process of enterprise a seeking authorization for user C to access enterprise B data at step S20 is described in detail below, including the steps of:
step S201, the enterprise B provides the original data of the user C to the enterprise A, the authorization of the user C needs to be obtained, and the enterprise A can obtain the authorization of the user C through purchasing, negotiation and other modes;
step S202, after the user C agrees to authorize, the user C will participate in the sharing application signature of the enterprise A to assist in completing the data sharing of the enterprise B. More particularly, user C may grant access to a portion of the data, rather than all of the data, to enterprise A.
Step S30 is described in detail below as a process in which enterprise a sends a data sharing application to enterprise B, where the application includes an analysis model, a signature authorized by user C, a signature of enterprise a, and the like, and records the data sharing application to the blockchain, and the process includes the following steps:
step S301, the enterprise A sends a data sharing application to the enterprise B, and the application content comprises the following steps:
● application for accessing content descriptions, such as raw physical examination data of user C in Enterprise B;
● applying for an access record ID, a unique identification of data storage in the blockchain;
● analytical models selected from the supporting computational analytical models disclosed by Enterprise B;
● user C authorizes the signature to indicate that the data access is granted to user C;
● Enterprise A signature, initiator signature;
● token consumption, the amount of tokens obtained after enterprise B has completed data sharing, and the amount of tokens that enterprise A needs to consume;
● a token award amount for the blockchain consensus verifier, the application recording a token award amount for the blockchain consensus verifier;
step S302, the data sharing application sent by the enterprise A to the enterprise B is recorded in the blockchain and cannot be tampered through blockchain consensus, and meanwhile, the user verifying the record in the blockchain obtains the token reward.
The following describes in detail the process of model calculation and billing after enterprise B receives the sharing application from a in step S40, including the following steps:
step S401, after receiving the sharing application of A, enterprise B firstly carries out model calculation cost evaluation, the result is in the form of token, if the token consumption (reward to enterprise B) in the application is not as good as the calculation cost, calculation and data sharing are refused, otherwise, step S402 is carried out;
step S402, enterprise B carries out model calculation, and calculates the result according to the requirements of the applied enterprises and the established calculation model;
step S403, enterprise B charges (for example, in the form of token), and different methods are adopted according to different charging modes after calculation is completed, for example, if an applicant direct pricing mode is adopted, the charging price of enterprise B is the token consumption in the application; if a uniform pricing mode is adopted, the enterprise B calculates the price according to the uniform pricing, and after calculation, the token settlement and change giving are carried out with the enterprise A.
The process of returning the request response result, forming a request response result record and recording to the blockchain by enterprise B at step S50 is described in detail below, and includes the following steps:
step S501, after the enterprise B completes model calculation, a request response result is generated, and the structure is as follows:
● responding to the result record ID, responding to the unique identification of the result record in the block chain;
●, applying for the visit record ID, and responding to the corresponding visit record application;
● calculating the result of the model output in response to the content description, which is also the result the applicant expects to obtain;
● Enterprise B signature, indicating that the result was generated by Enterprise B;
● token consumption K, where a token in an account of enterprise a is decreased by K and correspondingly an account of enterprise B is increased by K (note that K < (r) > token consumption in the application);
● a token award amount for the blockchain consensus verifier, the application recording a token award amount for the blockchain consensus verifier;
● authorizing access to the list so that the user in the free authorization list can read the original content in the request response result (the verifier can not read the original data, only can perform hash verification of the block data)
● authorization access list multiple signature, which can be 1/N or M/N
Step S502, the data sharing application response sent by the enterprise B to the enterprise A is recorded in the blockchain through blockchain consensus and cannot be tampered, and meanwhile, the user verifying the record in the blockchain obtains the token reward.
Correspondingly, as shown in fig. 2, the present invention further provides a peer-computing data sharing and incentive system 100, based on blockchain technology, for data sharing between a peer and a self-peer, for an enterprise a, comprising:
an index receiving module 110, configured to receive an index provided by an opposite party, where the index includes an original data type, a format, a range, and an analysis model;
an authorization obtaining module 120, configured to apply for and obtain authorization to access data of an opposite party;
the application sending module 130 is configured to send a data sharing application to the other party, where the application includes an analysis model, a user authorized signature, and a self-owned signature, and is recorded in the block chain;
the result receiving module 140 is configured to receive the request response result, form a request response result record, and record the request response result record to the blockchain.
Correspondingly, as shown in fig. 3, the present invention further provides a peer-computing data sharing and incentive system 200, based on blockchain technology, for data sharing between a peer and a self-peer, for an enterprise B, comprising:
the index providing module 210 is configured to provide an index supported by the other party to the other party, where the index includes an original data type, a format, a range, and an analysis model;
an application receiving module 220, configured to receive a data sharing application, where the application includes an analysis model, a user authorized signature, and an opposite side signature, and records the application to a block chain;
a calculation module 230 for model calculation and billing;
and the result returning module 240 is configured to return the request response result, form a request response result record, and record the request response result record to the blockchain.
Example 1
Enterprise a is a medical product company, enterprise B is a physical examination organization, and user C is a user who has performed physical examination at B, so B has health data of the user, and the data has great value for a, and can be used for popularization, research and development of medical products. Under traditional scenarios, B cannot provide a with user health data because privacy is involved and law may be violated. Even if B can obtain partial data public authorization by signing an authorization protocol with C and the like, how subsequent data is processed and transmitted is unknown to C, so that C cannot completely trust B and generally cannot sign a similar authorization protocol. Therefore, in the traditional non-blockchain scene, the participating parties do not trust each other, the process is not transparent, and the mode is difficult to succeed. After the blockchain technology is applied, as described in the invention, the processes of authorization, data access, charging and the like of the user C, the enterprise A and the enterprise B are all included in the blockchain, and the data and transaction processes cannot be tampered, so that the success of the mode can be promoted fundamentally.
Meanwhile, the mode of the opposite side calculation is reflected, the enterprise B does not need to send the original data to the A, but only sends the result, conditional data protection is achieved, the requirement of the A is met, and the method is innovative and improves flexibility.
Therefore, the invention forms an open trading market by using the block chain technology and based on the mode of the computation of the other side, thereby facilitating the enterprise discovery and the trade implementation under the many-to-many mode; meanwhile, the behavior of multi-party transaction can be recorded on the block chain, especially the authorization process from the user, so that the transaction is reliable and credible; finally, a token-based transaction consensus participation reward and consumption mechanism is provided, so that micropayments can be realized by utilizing tokens conveniently, and a good data sharing ecological environment can be formed conveniently.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (17)
1. A data sharing and incentive method for computation of a counterpart, based on a blockchain technique, for sharing data of a third party between a first party and a second party, comprising:
providing an analysis model supported by a second party to a first party so that the first party applies for and obtains authorization of a third party for accessing data of the second party; disclosing the amount of tokens consumed by the computational analysis model, wherein the amount of tokens is determined by the computational complexity and resource consumption of the computational analysis model;
receiving a data sharing application sent by a first party, wherein the application comprises the analysis model and is recorded in a block chain; the data sharing application is recorded into a blockchain and cannot be tampered through block chain consensus, and meanwhile, the third party obtains token rewards;
according to the sharing application of the first party, model calculation and charging are carried out on data authorized to be accessed by the third party by using the analysis model;
and returning a request response result to the first party to form a request response result record and record the request response result record to the block chain.
2. A partner-computed data sharing and incentive method according to claim 1, characterized in that:
the first party applying for and obtaining third party authorization for accessing the second party data comprises the following steps:
the first party obtains the authorization of the third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
3. A partner-computed data sharing and incentive method according to claim 1, characterized in that:
the model calculation and charging comprises the following steps:
after receiving a sharing application of a first party, evaluating model calculation cost, if the consumption of the tokens in the application is less than the calculation cost, refusing to perform calculation and data sharing, and if not, entering model calculation;
performing model calculation, and calculating a result according to the requirement of the first party and a set calculation model;
and charging according to the charging mode.
4. A partner-computed data sharing and incentive method according to claim 1, characterized in that:
the method for returning the request response result to the first party to form a request response result record and record the request response result record to the block chain comprises the following steps:
after model calculation is completed, a request response result is generated and sent to the first party;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
5. A peer-computing data sharing and incentive system, based on blockchain techniques, for sharing third-party data between a first party and a second party, comprising:
the index providing module is used for providing an analysis model supported by the second party for the first party so as to enable the first party to apply for and obtain the authorization of the third party for accessing the data of the second party; disclosing the amount of tokens consumed by the computational analysis model, wherein the amount of tokens is determined by the computational complexity and resource consumption of the computational analysis model;
the application receiving module is used for receiving a data sharing application sent by a first party, wherein the application comprises the analysis model and is recorded to the block chain; the data sharing application is recorded into a blockchain and cannot be tampered through block chain consensus, and meanwhile, the third party obtains token rewards;
the calculation module is used for performing model calculation and charging on data authorized to be accessed by the third party by using the analysis model according to the sharing application of the first party;
and the result returning module is used for returning the request response result to the first party, forming a request response result record and recording the request response result record to the block chain.
6. A peer-computing data sharing and incentive system according to claim 5, characterized in that:
the first party applying for and obtaining authorization of a third party for accessing the second party data includes:
the first party obtains the authorization of the third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
7. A peer-computing data sharing and incentive system according to claim 5, characterized in that:
the model calculation and charging comprises the following steps:
after receiving a sharing application of a first party, evaluating model calculation cost, if the consumption of the tokens in the application is less than the calculation cost, refusing to perform calculation and data sharing, and if not, entering model calculation;
performing model calculation, and calculating a result according to the requirement of the first party and a set calculation model;
and charging according to the charging mode.
8. A peer-computing data sharing and incentive system according to claim 5, characterized in that:
the returning the request response result to the first party to form a request response result record, and the recording to the block chain includes:
after model calculation is completed, a request response result is generated and sent to the first party;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
9. A data sharing and incentive method for computation of a counterpart, based on a blockchain technique, for sharing data of a third party between a first party and a second party, comprising:
receiving an analytical model provided by a second party; disclosing the amount of tokens consumed by the computational analysis model, wherein the amount of tokens is determined by the computational complexity and resource consumption of the computational analysis model;
applying for and obtaining authorization of a third party for accessing the data of the second party;
sending a data sharing application to the second party, wherein the application comprises the analysis model and is recorded in the block chain; the data sharing application is recorded into a blockchain and cannot be tampered through block chain consensus, and meanwhile, the third party obtains token rewards;
and receiving a request response result sent by the second party, forming a request response result record and recording the request response result record to the block chain.
10. A partner-computed data sharing and incentive method according to claim 9, characterized in that:
the application and obtaining of authorization of a third party for accessing data of a second party comprises the following steps:
obtaining authorization of a third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
11. A partner-computed data sharing and incentive method according to claim 9, characterized in that:
the receiving of the request response result sent by the second party, forming a request response result record, and recording the request response result record to the block chain includes the following steps:
receiving a request response result sent by a second party to form a request response result record;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
12. A peer-computing data sharing and incentive system, based on blockchain techniques, for sharing third-party data between a first party and a second party, comprising:
the index receiving module is used for receiving the analysis model provided by the second party; disclosing the amount of tokens consumed by the computational analysis model, wherein the amount of tokens is determined by the computational complexity and resource consumption of the computational analysis model;
the authorization obtaining module is used for applying for and obtaining the authorization of the third party on accessing the data of the second party;
the application sending module is used for sending a data sharing application to the second party, wherein the application comprises the analysis model and is recorded to the block chain; the data sharing application is recorded into a blockchain and cannot be tampered through block chain consensus, and meanwhile, the third party obtains token rewards;
and the result receiving module is used for receiving the request response result sent by the second party, forming a request response result record and recording the request response result record to the block chain.
13. A peer-computing data sharing and incentive system according to claim 12, characterized in that:
the applying for and obtaining authorization of a third party for accessing data of a second party includes:
obtaining authorization of a third party through purchase or negotiation;
and the third party participates in the sharing application signature of the first party to assist in finishing the data sharing of the second party.
14. A peer-computing data sharing and incentive system according to claim 12, characterized in that:
the receiving a request response result sent by a second party, forming a request response result record, and recording the request response result record to the block chain, includes:
receiving a request response result sent by a second party to form a request response result record;
the request response result is subject to blockchain consensus, is entered in blockchain without being tampered with, and the third party receives a token award.
15. An apparatus for data sharing and incentivization of computing by a peer, comprising:
one or more processors, storage devices storing one or more programs;
the one or more programs, when executed by the one or more processors, implement the method of any of claims 1-4, 9-11.
16. An apparatus for data sharing and incentivization of computing by a peer, comprising:
the apparatus comprising a system according to any of claims 5-8, 12-14.
17. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-4, 9-11.
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Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109117607B (en) * | 2018-09-06 | 2021-01-26 | 杭州安恒信息技术股份有限公司 | Software license management method and system based on private chain |
| CN109389505A (en) * | 2018-10-22 | 2019-02-26 | 成都凡特客科技有限公司 | A kind of ternary chain type enterprise increment assessment management platform based on block chain technology |
| US11184446B2 (en) * | 2018-12-05 | 2021-11-23 | Micron Technology, Inc. | Methods and apparatus for incentivizing participation in fog networks |
| CN109510713A (en) * | 2018-12-29 | 2019-03-22 | 杭州趣链科技有限公司 | A kind of shared motivational techniques of the flow based on block chain |
| CN109829716B (en) * | 2019-01-04 | 2021-08-03 | 武汉大学 | Block chain-based application evidence-based circulation method and device |
| CN109902109B (en) * | 2019-02-20 | 2021-04-30 | 北京邮电大学 | Multi-party collaborative data mining method and device |
| CN109978623B (en) * | 2019-03-27 | 2021-11-16 | 杭州师范大学 | Vehicle networking information sharing excitation method based on block chain |
| CN110175867B (en) * | 2019-04-26 | 2021-07-27 | 华中科技大学 | Block chain excitation method and system based on shared integral |
| CN110322273A (en) * | 2019-05-29 | 2019-10-11 | 西安电子科技大学 | A kind of user's excitation information processing method and system based on QoS |
| CN110430161B (en) * | 2019-06-27 | 2021-08-17 | 布比（北京）网络技术有限公司 | Unsupervised data anonymous sharing method and system based on block chain |
| CN111260468B (en) * | 2020-01-08 | 2024-03-15 | 阿尔法云计算(深圳)有限公司 | Block chain-based data operation method, related equipment and storage medium |
| CN111343249A (en) * | 2020-02-14 | 2020-06-26 | 哈希未来(北京)科技有限公司 | Data sharing method and device based on block chain system and storage medium |
| CN111526180B (en) * | 2020-03-30 | 2022-05-24 | 中国建设银行股份有限公司 | Data sharing method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106651346A (en) * | 2016-11-28 | 2017-05-10 | 上海凯岸信息科技有限公司 | Block chain-based credit investigation data sharing and trading system |
| CN106788987A (en) * | 2016-11-28 | 2017-05-31 | 树读（上海）信息科技有限公司 | A kind of collage-credit data based on block chain is shared and transaction system |
| CN107067243A (en) * | 2017-04-19 | 2017-08-18 | 迅鳐成都科技有限公司 | Shareable value token is designed at circulation method in a kind of block chain |
| CN107085807A (en) * | 2017-04-19 | 2017-08-22 | 迅鳐成都科技有限公司 | A kind of data assets method of commerce based on block chain |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9407620B2 (en) * | 2013-08-23 | 2016-08-02 | Morphotrust Usa, Llc | System and method for identity management |
-
2018
- 2018-02-08 CN CN201810129545.0A patent/CN108428121B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106651346A (en) * | 2016-11-28 | 2017-05-10 | 上海凯岸信息科技有限公司 | Block chain-based credit investigation data sharing and trading system |
| CN106788987A (en) * | 2016-11-28 | 2017-05-31 | 树读（上海）信息科技有限公司 | A kind of collage-credit data based on block chain is shared and transaction system |
| CN107067243A (en) * | 2017-04-19 | 2017-08-18 | 迅鳐成都科技有限公司 | Shareable value token is designed at circulation method in a kind of block chain |
| CN107085807A (en) * | 2017-04-19 | 2017-08-22 | 迅鳐成都科技有限公司 | A kind of data assets method of commerce based on block chain |
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