CN111581280A - Service processing method, device and storage medium based on block chain - Google Patents

Service processing method, device and storage medium based on block chain Download PDF

Info

Publication number
CN111581280A
CN111581280A CN202010328254.1A CN202010328254A CN111581280A CN 111581280 A CN111581280 A CN 111581280A CN 202010328254 A CN202010328254 A CN 202010328254A CN 111581280 A CN111581280 A CN 111581280A
Authority
CN
China
Prior art keywords
service
related party
service related
party
block chain
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010328254.1A
Other languages
Chinese (zh)
Inventor
任飞
刘震
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aolin Technology Co ltd
Original Assignee
Aolin Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Aolin Technology Co ltd filed Critical Aolin Technology Co ltd
Priority to CN202010328254.1A priority Critical patent/CN111581280A/en
Publication of CN111581280A publication Critical patent/CN111581280A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A service processing method, device and storage medium based on block chain are provided, wherein the method comprises the following steps: obtaining scores of all service correlation parties, wherein the service correlation parties comprise a plurality of block chains participating in the service and a plurality of block chain link points participating in the service; and determining the business related parties according to the scores of all the business related parties and a preset evaluation rule. According to the invention, the scores of all the service related parties are obtained before the service is carried out, and the service related parties participating in the service are screened according to the scores and the preset selection rules, so that the service risk can be reduced, the data of each block chain participating in value circulation is more real and credible, and the service safety is improved.

Description

Service processing method, device and storage medium based on block chain
Technical Field
The present invention relates to the field of block chain technology, and in particular, to a service processing method, device and storage medium based on a block chain.
Background
The block chain is one of the distributed general ledgers, one block chain is an independent account book, two different block chains are two different independent account books, and the two account books have no relevance. With the continuous development of the block chain technology, side chain, cross chain and multi-chain technologies appear, the value stored on one block chain by a user is converted into the value on the other block chain, and the circulation of the value among the block chains is completed.
In the process of value circulation between different blockchains, it cannot be guaranteed that data of each blockchain participating in value circulation is completely real and credible, so that data distortion between the blockchains may occur when business transaction is performed between the blockchains, and the security of the blockchain transaction is affected.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the defect that data distortion between block chains affects the security of block chain transaction when service transaction is performed between block chains in the prior art, thereby providing a service processing method, device and storage medium based on block chains.
According to a first aspect, the present embodiment provides a service processing method based on a block chain, including the following steps: obtaining evaluation results of corresponding service related parties according to the issued service intelligent contracts, wherein the service related parties comprise block chains participating in the services and/or block chain link points participating in the services; determining target business related parties according to the evaluation results of the business related parties and preset evaluation rules; and performing service processing based on the service intelligent contract and the target service related party.
Optionally, after the service processing is performed based on the service intelligent contract and the target service related party, the method further includes: acquiring transaction execution data and/or prediction machine feedback data of each target service related party; judging whether each target service related party meets a credible condition or not according to the service execution data and/or the prediction machine feedback data; and adjusting the evaluation result of the corresponding target service related party according to the judgment result.
Optionally, the evaluation result is a score; the adjusting the evaluation result of the corresponding target service related party according to the judgment result comprises the following steps: when any target service related party does not meet the credibility condition, reducing the score of the corresponding service related party; and when any target service related party meets the credibility condition, increasing the score of the corresponding service related party.
Optionally, the method further includes: and storing the obtained scores of the service related parties in a third party block chain.
According to a second aspect, the present embodiment provides a service processing apparatus based on a block chain, including: the system comprises a score acquisition module, a score evaluation module and a score evaluation module, wherein the score acquisition module is used for acquiring evaluation results of corresponding service related parties according to issued service intelligent contracts, and the service related parties comprise block chains participating in the services and/or block chain link points participating in the services; the service related party determining module is used for determining a target service related party according to the evaluation result of each service related party and a preset evaluation rule; and the service processing module is used for carrying out service processing based on the service intelligent contract and the target service related party.
Optionally, the score obtaining module includes: the feedback data acquisition module is used for acquiring transaction execution data and/or prediction machine feedback data of each target service related party; the credibility condition judgment module is used for judging whether each target business related party meets credibility conditions according to the business execution data and/or the prediction machine feedback data; and the adjusting module is used for adjusting the evaluation result of the corresponding target service related party according to the judgment result.
Optionally, the adjusting module includes: the first grading processing module is used for reducing the grading of a corresponding service related party when the service execution data does not meet the credibility condition; and the second grading processing module is used for increasing the grading of the corresponding service related party when the service execution data meets the credible condition.
Optionally, the apparatus further comprises: and the storage module is used for storing the obtained scores of the service related parties into a third party block chain.
According to a third aspect, this embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for processing a service based on a block chain according to the first aspect or any of the embodiments of the first aspect when executing the program.
According to a fourth aspect, the present embodiment provides a storage medium, on which computer instructions are stored, and the instructions, when executed by a processor, implement the steps of the method for processing a service based on a block chain according to the first aspect or any embodiment of the first aspect.
The technical scheme of the invention has the following advantages:
according to the block chain-based service processing method/device provided by the embodiment of the invention, the scores of all service related parties are obtained before the service is carried out, and the service related parties participating in the service are screened according to the scores and the preset evaluation rule, so that the service risk can be reduced, the data of each block chain participating in value circulation is more real and credible, and the service safety is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a service processing method based on a block chain in an embodiment of the present invention;
fig. 2 is a schematic block diagram of a specific example of a service processing apparatus based on a block chain in the embodiment of the present invention;
fig. 3 is a schematic block diagram of a specific example of an electronic device in the embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment provides a service processing method based on a block chain, as shown in fig. 1, including the following steps:
and S110, acquiring evaluation results of corresponding service related parties according to the issued service intelligent contract, wherein the service related parties comprise block chains participating in the service and/or block chain link points participating in the service.
Illustratively, the service-related parties may be a block chain participating in the same service and a block link point participating in the service, and the block chain participating in the same service and the block link point participating in the service may be determined according to a published service intelligence contract. The block chain participating in the service can comprise a federation chain, a private chain and a cross-chain network, and the block chain link points participating in the service can be other nodes in the same federation chain as the service publishing node. The evaluation result of each business-related party can be a score, such as any score of 1-10; or the character evaluation results such as "excellent", "good", "poor", and the like. Taking the evaluation result as a score as an example, the score of each service related party can be obtained by scoring the service related party by other service related parties in the historical service in the process that the service related party participates in the historical service; or the initial scores are set according to the initial scale of each business-related party and the assets, for example, the larger the scale of the business-related party is, the more the assets are, the higher the scores are, or the initial scores of the business-related parties are obtained according to the voting numbers of other business-related parties. The embodiment of the present application does not limit the determination method of the evaluation result.
The score can be pre-stored in the local of each service related party, and the obtaining mode can be that the service related party issuing the service intelligent contract obtains the scores of other service related parties through a side chain technology or an agent technology in a cross-chain mode. The method for obtaining the score of each service related party is not limited in this embodiment, and those skilled in the art can determine the score as needed.
Taking the private chain of the loan party, the bank and the guarantee institution as an example, when the loan party applies for a loan to the bank, the bank needs the guarantee institution to guarantee the loan behavior of the loan party, and three guarantee institutions A, B, C are willing to guarantee the loan, at this time, the bank party obtains scores locally stored by the three guarantee parties through a cross-chain technology.
And S120, determining the target business related party according to the evaluation result of each business related party and the preset evaluation rule.
For example, the preset evaluation rule may be set according to the requirement of the service-related party issuing the intelligent contract, and the preset evaluation rule may define, in the form of the intelligent contract, the rating level of other service-related parties required by the service-related party issuing the intelligent contract, and then obtain the target service-related party meeting the requirement of the preset evaluation rule according to the obtained rating of each service-related party and the preset evaluation rule. And if the preset evaluation rule stipulates that the score needs to meet more than 9 points, taking the service related party meeting more than 9 points as the target service related party.
And S130, performing service processing based on the service intelligent contract and the target service related party.
Taking the loan transaction as an example, the bank obtains scores of three security institutions A, B, C, wherein the scores are 70, 80 and 90 respectively, the bank side provides the security institution with the highest score as the target security institution in the evaluation rule of the bank side, and then the security institution C is obtained as the security institution required by the transaction, and then the loan side and the security institution C perform loan transaction processing based on the loan transaction intelligent contract.
According to the service processing method based on the block chain, the scores of all service related parties are obtained before the service is performed, and the service related parties participating in the service are screened according to the scores and the preset selection rules, so that the service risk can be reduced, the data of each block chain participating in value circulation is more real and credible, and the safety of service processing is improved.
As an optional implementation manner of this embodiment, after step S130, the method further includes:
firstly, transaction execution data and/or prediction machine feedback data of each target service related party are obtained.
Illustratively, the transaction execution data of each target service-related party represents transaction execution data, such as fund flow data, service flow data and the like, generated by each target service-related party when executing the service in the service, and the transaction execution data are correlated among the target service-related parties and can mutually verify the data authenticity of each other. The predictive speech machine feedback data represents the comparison result of the service data and the real data in the block chain, for example, if a certain service related party specifies that the petroleum price is 80 dollars, and the real petroleum price obtained according to the predictive speech machine feedback data is 35 dollars, the predictive speech machine feedback data is not real. The transaction execution data of the business-related party may be obtained by obtaining a blockchain ledger of the business-related party and obtaining the transaction execution data according to data information recorded in the blockchain ledger. The acquisition mode of the feedback data of the prediction machine can be obtained by receiving external internet data by the prediction machine.
Secondly, judging whether each target service related party meets a credible condition or not according to service execution data and/or prediction machine feedback data;
for example, the determination manner of whether the transaction execution data meets the trusted condition may be to determine whether the service execution data between the service related parties can be mutually adjudicated by looking up the service execution data of each service related party, for example, in a certain service, the block chain account of one service related party C records that 1000 pieces of money are transferred from the service related party a to the service related party B, when the block chain account of other service related parties passes through the transaction of other parties or the feedback of fund flow and service flow, it is considered that 1000 pieces of money are not transferred from the service related party a to the service related party B, at this time, the other service related parties consider that the service related party C does not meet the trusted condition; when the service execution data of the service related party A is considered to be consistent with the feedback data through the feedback of the fund flow and the service flow of other transaction related parties, the other service related parties consider that the service related party C meets the credible condition.
The judging mode of whether the transaction execution data meets the credible condition can also be that whether the transaction data of the service related party is consistent with the external access data is verified through the data feedback of the prediction machine. For example, in a certain service, the service-related party a says that the oil price is 80 dollars, and when the oil price is actually 35 dollars as verified by the feedback data of the prediction machine subsequently, the rest service-related parties consider that the service-related party a does not meet the credible condition; and when the oil price is actually confirmed to be 80 dollars by the feedback data of the prediction machine subsequently, the rest service related parties consider that the service related party A meets the credible condition.
And then, adjusting the evaluation result of the corresponding target service related party according to the judgment result.
In the service processing method based on the block chain provided by this embodiment, the evaluation result represents the rights of the service-related party in the whole service system block chain, and each service-related party scores other service-related parties according to the service condition of each time, so that the score can be dynamically revised, and the method has a reference value for selecting the subsequent service-related party, thereby further reducing the service risk and improving the service security.
As an optional implementation manner of this embodiment, when the evaluation result is a score, adjusting the score of the corresponding service related party according to the determination result, includes:
when any target service related party does not meet the credibility condition, reducing the score of the corresponding service related party;
illustratively, taking the oil price as an example, the data fed back by the prediction machine verifies that the service execution data of the service related party a does not meet the credibility condition, then the service execution data of the service related party a is considered to be untrustworthy by other service related parties, and each other service related party reduces the score of the service related party a.
And when any target service related party meets the credible condition, increasing the score of the corresponding service related party.
For example, taking the example that the block chain ledger of the business related party C records that the business related party a transfers 1000 pieces of money to the business related party B, when the block chain ledger of the other business related party confirms that the business related party a transfers 1000 pieces of money to the business related party B through the transaction of other parties or the feedback of the fund flow and the business flow, the other business related parties consider that the business execution data of the business related party C is credible, and each other business related party increases the score of the business related party a.
According to the block chain-based service processing method provided by this embodiment, by judging whether the service execution data meets the trusted condition, scores of corresponding service-related parties are increased or decreased, rights and interests of each service-related party in the block chain of the whole service system are dynamically adjusted through a constructed reward and punishment mechanism, the service-related parties execute transactions meeting the trusted condition for many times, the scores are improved, corresponding participation in the block chain of the whole service system is also improved, and thus forward excitation of each service-related party is realized, and the whole system develops towards a healthier direction.
As an optional implementation manner of this embodiment, the method further includes: and storing the obtained scores of the service related parties in a third party block chain.
Illustratively, the third-party block chain does not participate in the service, does not belong to the service-related party, and is only used for storing the scores of the service-related parties, and the scores of the service-related parties can be obtained by reading the data information of the third-party block chain. The mode of storing the score of the service-related party into the third-party blockchain may be to transmit the data of the service-related party blockchain to the third-party blockchain by a chain-crossing technology such as a side chain or a proxy technology.
In the service processing method based on the block chain, the score of the service related party is stored in the third party block chain, and when the score needs to be read or adjusted, the data stored in the third party block chain is directly read, so that convenience in reading and adjusting the score is improved.
The present embodiment provides a service processing apparatus based on a block chain, as shown in fig. 2, including:
the score obtaining module 210 is configured to obtain, according to the issued service intelligent contract, a corresponding evaluation result of each service related party, where the service related party includes a block chain participating in the service and/or a block chain link point participating in the service; the specific implementation manner is described in step S110 of the method of this embodiment, and is not described herein again.
The service related party determining module 220 is configured to determine a target service related party according to the evaluation result of each service related party and a preset evaluation rule; the specific implementation manner is described in step S120 of the method of this embodiment, and is not described herein again.
And the service processing module 230 is configured to perform service processing based on the service intelligent contract and the target service related party. The specific implementation manner is described in step S130 of the method of this embodiment, and is not described herein again.
The service processing apparatus based on the blockchain according to this embodiment obtains the scores of the service-related parties before performing the service, and screens the service-related parties participating in the service according to the scores and the preset selection rule, so that the service risk can be reduced, the data of each blockchain participating in value circulation is more real and reliable, and the security of the service is improved.
As an optional implementation manner of this embodiment, the score obtaining module 210 includes:
the feedback data acquisition module is used for acquiring transaction execution data and/or prediction machine feedback data of each target service related party; the specific implementation manner is described in the method related to this embodiment, and is not described herein again.
The credibility condition judgment module is used for judging whether each target business related party meets credibility conditions according to the business execution data and/or the prediction machine feedback data; the specific implementation manner is described in the method related to this embodiment, and is not described herein again.
And the adjusting module is used for adjusting the evaluation result of the corresponding target service related party according to the judgment result. The specific implementation manner is described in the method related to this embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the adjusting module includes:
the first grading processing module is used for reducing the grading of a corresponding service related party when the service execution data does not meet the credibility condition; the specific implementation manner is described in the method related to this embodiment, and is not described herein again.
And the second grading processing module is used for increasing the grading of the corresponding service related party when the service execution data meets the credible condition. The specific implementation manner is described in the method related to this embodiment, and is not described herein again.
As an optional implementation manner of this embodiment, the apparatus further includes: and the storage module is used for storing the obtained scores of the service related parties into a third party block chain. The specific implementation manner is described in the method related to this embodiment, and is not described herein again.
The embodiment of the present application also provides an electronic device, as shown in fig. 3, including a processor 310 and a memory 320, where the processor 310 and the memory 320 may be connected by a bus or in other manners.
Processor 310 may be a Central Processing Unit (CPU). The Processor 310 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or any combination thereof.
The memory 320 is a non-transitory computer readable storage medium, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the service processing method based on the block chain in the embodiment of the present invention. The processor executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions, and modules stored in the memory.
The memory 320 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 320 may optionally include memory located remotely from the processor, which may be connected to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 320 and, when executed by the processor 310, perform a blockchain-based traffic processing method as in the embodiment shown in fig. 1.
The details of the electronic device may be understood with reference to the corresponding related description and effects in the embodiment shown in fig. 1, and are not described herein again.
The embodiment also provides a computer storage medium, where a computer-executable instruction is stored, and the computer-executable instruction can execute the service processing method based on the block chain in any method embodiment. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.

Claims (10)

1. A service processing method based on block chain is characterized by comprising the following steps:
obtaining evaluation results of corresponding service related parties according to the issued service intelligent contracts, wherein the service related parties comprise block chains participating in the services and/or block chain link points participating in the services;
determining target business related parties according to the evaluation results of the business related parties and preset evaluation rules;
and performing service processing based on the service intelligent contract and the target service related party.
2. The method of claim 1, wherein after the business process based on the business intelligence contract and the target business related party, the method further comprises:
acquiring transaction execution data and/or prediction machine feedback data of each target service related party;
judging whether each target service related party meets a credible condition or not according to the service execution data and/or the prediction machine feedback data;
and adjusting the evaluation result of the corresponding target service related party according to the judgment result.
3. The method of claim 2, wherein the evaluation result is a score; the adjusting the evaluation result of the corresponding target service related party according to the judgment result comprises the following steps:
when any target service related party does not meet the credibility condition, reducing the score of the corresponding service related party;
and when any target service related party meets the credibility condition, increasing the score of the corresponding service related party.
4. The method according to any one of claims 1-3, further comprising: and storing the obtained scores of the service related parties in a third party block chain.
5. A device for processing block chain based service, comprising:
the system comprises a score acquisition module, a score evaluation module and a score evaluation module, wherein the score acquisition module is used for acquiring evaluation results of corresponding service related parties according to issued service intelligent contracts, and the service related parties comprise block chains participating in the services and/or block chain link points participating in the services;
the service related party determining module is used for determining a target service related party according to the evaluation result of each service related party and a preset evaluation rule;
and the service processing module is used for carrying out service processing based on the service intelligent contract and the target service related party.
6. The apparatus of claim 5, wherein the score obtaining module comprises:
the feedback data acquisition module is used for acquiring transaction execution data and/or prediction machine feedback data of each target service related party;
the credibility condition judgment module is used for judging whether each target business related party meets credibility conditions according to the business execution data and/or the prediction machine feedback data;
and the adjusting module is used for adjusting the evaluation result of the corresponding target service related party according to the judgment result.
7. The apparatus of claim 6, wherein the adjustment module comprises:
the first grading processing module is used for reducing the grading of a corresponding service related party when the service execution data does not meet the credibility condition;
and the second grading processing module is used for increasing the grading of the corresponding service related party when the service execution data meets the credible condition.
8. The apparatus of any of claims 5-7, further comprising:
and the storage module is used for storing the obtained scores of the service related parties into a third party block chain.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the block chain based traffic processing method according to any of claims 1-4 are implemented when the processor executes the program.
10. A storage medium having stored thereon computer instructions, which, when executed by a processor, perform the steps of the blockchain based traffic processing method of any of claims 1 to 4.
CN202010328254.1A 2020-04-23 2020-04-23 Service processing method, device and storage medium based on block chain Pending CN111581280A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010328254.1A CN111581280A (en) 2020-04-23 2020-04-23 Service processing method, device and storage medium based on block chain

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010328254.1A CN111581280A (en) 2020-04-23 2020-04-23 Service processing method, device and storage medium based on block chain

Publications (1)

Publication Number Publication Date
CN111581280A true CN111581280A (en) 2020-08-25

Family

ID=72120277

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010328254.1A Pending CN111581280A (en) 2020-04-23 2020-04-23 Service processing method, device and storage medium based on block chain

Country Status (1)

Country Link
CN (1) CN111581280A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112395642A (en) * 2020-11-20 2021-02-23 湖南智慧政务区块链科技有限公司 Secure multi-party privacy calculation method, device, equipment and storage medium
CN113034159A (en) * 2021-03-23 2021-06-25 上海万向区块链股份公司 Enterprise credible credit assessment system and method based on block chain prediction machine technology

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106778109A (en) * 2016-11-24 2017-05-31 江苏通付盾科技有限公司 A kind of certification authority evaluation method and device based on intelligent contract
US20200021439A1 (en) * 2017-02-06 2020-01-16 Hitachi, Ltd. Trust management system and trust management method
CN110837980A (en) * 2019-11-18 2020-02-25 华润智慧能源有限公司 Enterprise credit rating method, device, equipment and storage medium
CN110930095A (en) * 2019-12-02 2020-03-27 上海航翼网络科技有限公司 Supply chain logistics monitoring and early warning method based on block chain prediction machine technology

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106778109A (en) * 2016-11-24 2017-05-31 江苏通付盾科技有限公司 A kind of certification authority evaluation method and device based on intelligent contract
US20200021439A1 (en) * 2017-02-06 2020-01-16 Hitachi, Ltd. Trust management system and trust management method
CN110837980A (en) * 2019-11-18 2020-02-25 华润智慧能源有限公司 Enterprise credit rating method, device, equipment and storage medium
CN110930095A (en) * 2019-12-02 2020-03-27 上海航翼网络科技有限公司 Supply chain logistics monitoring and early warning method based on block chain prediction machine technology

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112395642A (en) * 2020-11-20 2021-02-23 湖南智慧政务区块链科技有限公司 Secure multi-party privacy calculation method, device, equipment and storage medium
CN112395642B (en) * 2020-11-20 2024-02-13 湖南智慧政务区块链科技有限公司 Secure multiparty privacy computing method, device, equipment and storage medium
CN113034159A (en) * 2021-03-23 2021-06-25 上海万向区块链股份公司 Enterprise credible credit assessment system and method based on block chain prediction machine technology

Similar Documents

Publication Publication Date Title
US11218494B2 (en) Predictive fraud analysis system for data transactions
Xu et al. Sok: Decentralized exchanges (dex) with automated market maker (amm) protocols
US11568415B2 (en) Decentralized safeguard against fraud
Liu et al. Friendships in online peer-to-peer lending
CN106575327B (en) Analyzing facial recognition data and social network data for user authentication
US8560436B2 (en) System and method for assessing credit risk in an on-line lending environment
US20110320341A1 (en) Methods and systems for improving timely loan repayment by controlling online accounts, notifying social contacts, using loan repayment coaches, or employing social graphs
US20130006845A1 (en) Systems and methods for underwriting loans
US20160379182A1 (en) Methods for Providing an Online Consumer Network
US10803154B2 (en) Multicomputer system for user data authentication and processing
CN114386043B (en) Decentralised privacy maintenance reputation evaluation method for crowd sensing
CN111581280A (en) Service processing method, device and storage medium based on block chain
KR20200094983A (en) Block chain based electronic contract method and system
US20240187416A1 (en) Systems and methods for enhanced authorization messages
CN110533419A (en) Sharing method, device and the server of air control model based on block chain
CN110941644B (en) Policy data generation method, device, equipment and storage medium
CN114077948A (en) Transaction supervision method and device on blockchain and electronic equipment
CN112116473A (en) Cross-chain notary mechanism evaluation system and platform
US20230259757A1 (en) Tiered input structures for machine learning models
WO2015136503A1 (en) Secured disintermediated system for seeking and acquiring funding
Brass FRIENDSHIPS IN ONLINE PEER-TO-PEER LENDING: PIPES, PRISMS, AND RELATIONAL HERDING.
KR102107454B1 (en) System for multiplication of financial payment networks, method for financial services using the same and computer program for the same
KR20220153145A (en) Device for signing insurance contract and method thereof
CN111194441B (en) Data management method and related system based on block chain
May The rule of law and technocratisation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200825