CN111488624A - Data management method, device and medium based on block chain - Google Patents
Data management method, device and medium based on block chain Download PDFInfo
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Abstract
The application discloses a data management method, equipment and medium based on a block chain. The method comprises the steps that a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain; based on an intelligent contract, according to data demand application, a data providing end sends data to be calculated to a data service end, and the data demand end sends a data calculation model corresponding to the data to be calculated to the data service end; the data server calculates data to be calculated according to the data calculation model; and the data server side sends the data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain. The block chain-based data management method can ensure the confidentiality of data and a data calculation process under the condition that a data demand party, a data provider and a data service party are scattered, so that the data can achieve the effect of 'available invisible'.
Description
Technical Field
The present application relates to the field of blockchain application technologies, and in particular, to a method, device, and medium for data management based on blockchains.
Background
In the era of digital economy, data is a core asset of an enterprise, and encryption protection of data is one of effective means for protecting the assets of the enterprise. However, in the data full life cycle link, the confidentiality problem of the data calculation process is not solved well for technical reasons and the like.
In a traditional manner, in order to keep the data calculation process secret, an enterprise often keeps both data and data calculation under its own control, that is, both data and data calculation are in a uniform security domain of the enterprise, so as to ensure that the problem of secret leakage is not caused.
However, today, digital economies have driven the computing model and data sharing hierarchy to a completely new height, and it has not been possible for data consumers, providers, and servers to be highly dispersed, placing them in a uniform security domain. Under the circumstances, how to ensure the security of data and the data calculation process in the multi-party cooperation mode becomes a technical problem to be solved urgently.
Therefore, with the development of digital economy, there is an urgent need to develop a novel data management method to fill the above-mentioned security gap, so as to assist the development of digital economy to a new stage.
The above description is included in the technical recognition scope of the inventors, and does not necessarily constitute the prior art.
Disclosure of Invention
An embodiment of the present specification provides a data management method, device, and medium based on a block chain, which are used to solve the following technical problems in the prior art: with the development of data sharing hierarchy, data demanding parties, data providing parties and data serving parties have become dispersed, and how to ensure the security of data and a data calculation process in a multi-party cooperation mode becomes a technical problem to be solved urgently.
The embodiment of the specification adopts the following technical scheme:
a data management method based on a block chain comprises the following steps:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
Optionally, the applying for the data providing end to send the data to be calculated to the data server end according to the data requirement includes:
after the data providing end obtains the data demand application, the data providing end extracts the data to be calculated and sends a decryption request to a data decryption unit;
the data decryption unit judges whether normal decryption can be carried out or not, and if not, an error prompt is sent to the data providing end;
the data providing end sends a key calling request to a key storage unit after receiving the error prompt;
the key storage unit sends a key to the data providing unit;
and the data providing unit calls the key to decrypt the data to be calculated.
Optionally, the block chain-based data management method further includes:
the data providing unit integrates a decryption algorithm, and the data providing unit combines the key and the decryption algorithm to decrypt the data to be calculated;
and the data providing unit decrypts the data to be calculated and then clears the secret key.
Optionally, the block chain-based data management method further includes:
and the data decryption unit judges whether normal decryption can be carried out, and if so, the data to be calculated is decrypted and fed back to the data providing unit.
Optionally, the sending, by the data demand side, the data calculation model corresponding to the data to be calculated to the data service side includes:
the data server at least comprises a first subdata server and a second subdata server;
the data demand side divides the data calculation model into at least a first data calculation submodel and a second data calculation submodel;
and the data demand end sends the first data calculation sub-model to the first sub-data server side, and the data demand end sends the second data calculation sub-model to the second sub-data server side.
Optionally, the data server calculates the data to be calculated according to the data calculation model, including:
the first subdata server side calculates the data to be calculated according to the first data calculation submodel to obtain a data calculation sub-result, and sends the data calculation sub-result to the second subdata server side;
and the second sub data server side calculates the data calculation sub result according to the second data calculation sub model to obtain a data calculation result.
Optionally, the data server calculates the data to be calculated according to the data calculation model, and further includes:
the data server performs grey-box calculation on the data to be calculated;
and the data server side verifies the calculation result.
Optionally, the data demand application is a loan application, and the data calculation model is a credit calculation model.
A blockchain-based data management system, wherein the system comprises a plurality of entities or nodes that collectively maintain data on a blockchain for data management:
a data demand end for receiving a data demand application,
and is used for sending the data calculation model corresponding to the data to be calculated to the data server,
the data management block chain is also used for signing the data calculation result and uploading the data calculation result to the data management block chain;
the data providing end is used for applying to send the data to be calculated to the data server end according to the data requirement;
and the data server is used for calculating the data to be calculated according to the data calculation model and sending a data calculation result to the data demand side.
An apparatus for block chain based data management, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
A non-transitory computer storage medium for blockchain based data management, storing computer-executable instructions, wherein the computer-executable instructions are configured to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
(1) in the data management method based on the block chain, which is exemplified in the embodiment of the present specification, the data providing terminal provides data to be calculated according to a data demand application, the data server calculates the data to be calculated, and the data demand terminal can only obtain a final data calculation result and cannot obtain the data to be calculated. By the method, under the condition that the data provider, the data server and the data demander are separated, the safety and the confidentiality of the data provided by the data provider can be ensured, and the data to be calculated can achieve the effect of 'available invisible' in the data demander. Meanwhile, the data demand end signs and sends the final calculation result of the data to the data management block chain, so that the authenticity, traceability and non-tamper of the calculation result can be ensured.
(2) In the data management method based on the block chain as exemplified in the embodiment of the present specification, after receiving a data demand application, a data providing end needs to decrypt data to be calculated first to send the data to a data service end, so that data security of the data providing end is further ensured. Meanwhile, the key storage unit is arranged to store the key, so that the data can be subjected to standby decryption by calling the key when the decryption of the data server fails, and the smooth data decryption can be further ensured.
(3) In the data management method based on the block chain, which is exemplified in the embodiments of the present specification, a data demand side splits a data calculation model, and sends each split sub-model to different sub-data service sides respectively; meanwhile, the data technical result of the previous subdata server is used as the calculation input value of the next subdata server to calculate, so that the calculation model of the data demand party is protected and is not known by other parties. Under the condition that a data provider, a data server and a data demand side are separated, the safety and the confidentiality of the data calculation model are guaranteed.
(4) In the data management system based on the block chain as exemplified in the embodiment of the present specification, the data providing terminal, the data service terminal, and the data requiring terminal become nodes on the block chain by constructing the data management block chain, and under the condition that the data providing terminal, the data service terminal, and the data requiring terminal are separated, the security and confidentiality of data calculation are ensured, so that the data to be calculated can achieve the effect of "available and invisible".
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart illustrating a block chain-based data management method according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more apparent, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step based on the embodiments in the description belong to the protection scope of the present application.
First, the technical concept of the technical solution disclosed in the present invention will be explained. In a traditional mode, in order to ensure the security of data and the calculation process thereof, an enterprise often controls the data and the calculation thereof, that is, the data and the calculation thereof are performed in a uniform security domain, so as to ensure that the problems of disclosure and the like are not caused. However, with the high development of digital economy, the data sharing and data computing mode has reached a completely new height today, data providers, data servers and data demanders have been separated, and data sharing and data application have not been satisfied in an enterprise, but have been performed in a multi-party cooperation mode. Therefore, in such a situation, how to ensure the security and confidentiality of data and data calculation among a plurality of subjects has become an urgent technical problem to be solved. At present, a novel data management method is urgently needed to be developed, the safety gap is filled, and the power-assisted digital economy is better developed.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings. Fig. 1 is a flowchart illustrating a data management method based on a block chain according to an embodiment of the present disclosure.
As shown in fig. 1, a block chain-based data management method includes that a data demand end receives a data demand application, and synchronizes the data demand application to each node of a data management block chain; based on an intelligent contract, applying for a data providing end according to data requirements to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data requiring end; the data server calculates data to be calculated according to the data calculation model; and the data server side sends the data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
In the data management method based on the block chain in this embodiment, the data providing terminal provides data to be calculated according to the data demand application, the data server calculates the data to be calculated, and the data demand terminal can only obtain the final data calculation result and cannot obtain the data to be calculated. By the method, under the condition that the data providing end, the data service end and the data demand end are separated, the safety and the confidentiality of the data provided by the data providing end can be ensured, and the data to be calculated can achieve the effect of 'available invisible' in the data demand end. And the data demand end signs the final calculation result of the data and sends the signature to the data management block chain, so that the authenticity, traceability and non-tamper of the calculation result can be ensured.
In this embodiment, the data providing end sends the data to be computed to the data server end according to the data demand application, including that the data providing end extracts the data to be computed after obtaining the data demand application, and sends a decryption request to the data decryption unit; the data decryption unit judges whether normal decryption can be performed:
if so, decrypting the data to be calculated and feeding the data back to the data providing unit;
if not, sending an error prompt to the data providing end; the data providing end sends a key calling request to the key storage unit after receiving the error prompt; the key storage unit sends the key to the data providing unit; the data providing unit calls the key to decrypt the data to be calculated.
After receiving the data demand application, the data providing end first needs to decrypt the data to be calculated to send the data to the data service end, so as to further guarantee the data security of the data providing end. The data providing end comprises a data providing unit, a data decrypting unit and a key storage unit, wherein the data decrypting unit firstly judges whether the data to be calculated can be normally decrypted or not, carries out decryption processing if the data to be calculated can be normally decrypted, and then sends the decrypted data to the data providing unit. If the data decryption unit fails and can not decrypt the data normally, an error prompt is sent to the data providing end, the data providing end sends a key calling request to the key storage unit according to the error prompt, the key storage unit sends the key to the data providing unit according to the instruction, and then the data to be calculated is decrypted in the data providing unit. By the method, when the data decryption unit fails to decrypt, disaster recovery decryption can be performed on the data by calling the key, and smooth data decryption is guaranteed.
In this embodiment, the data management method based on the blockchain further includes that the data providing unit integrates a decryption algorithm, and the data providing unit decrypts the data to be calculated by combining the key and the decryption algorithm; and the data providing unit decrypts the data to be calculated and then clears the key. The data providing unit stores a decryption algorithm in advance, but the data providing unit does not have a key and cannot decrypt the data, if the data decryption unit has an error, the data providing unit can acquire the key from the key storage unit and decrypt the data to be calculated by combining the key with the decryption algorithm in the key storage unit, and after decryption, the data providing unit automatically clears the acquired key so as to ensure that the key does not leak and further guarantee the confidentiality of the data.
In this embodiment, the data management method based on the blockchain further includes that the data service end at least includes a first sub data service end and a second sub data service end; the data demand side divides the data calculation model into at least a first data calculation submodel and a second data calculation submodel; and the data demand side sends the first data calculation submodel to the first sub data server side, and sends the second data calculation submodel to the second sub data server side.
The first sub data server side calculates data to be calculated according to the first data calculation sub model to obtain a data calculation sub result, and sends the data calculation sub result to the second sub data server side; and the second sub data server side calculates the data calculation sub result according to the second data calculation sub model to obtain a data calculation result.
The data demand side splits the data calculation model and sends each split sub-model to different sub-data server sides respectively. And the data server side calculates the data technical result of the previous sub-data server side as the calculation input value of the next sub-data server side. Therefore, the calculation model provided by the data demand party can be effectively protected, other parties are difficult to obtain all data calculation models, and the safety and the confidentiality of the data calculation model are ensured under the condition that the data supply party, the data service party and the data demand party are separated, so that the data safety is further ensured.
It is understood that the data demand side may also perform other processing on the data calculation model, for example, the data demand side may perform redundancy setting or confusion setting on the data calculation model, so that other parties cannot normally use the data calculation model after obtaining the data model, and the like, as long as the security of the data calculation model can be ensured.
In this embodiment, the data server calculates the data to be calculated according to the data calculation model, and further includes the data server performs gray box calculation on the data to be calculated; and the data server side verifies the calculation result.
In this embodiment, the data demand application is a loan application, and the data calculation model is a credit calculation model.
In another aspect, this embodiment further provides a data management system based on a blockchain, where the system includes the following entities or nodes that collectively maintain data on the blockchain for data management: the data demand end is used for receiving a data demand application, sending a data calculation model corresponding to the data to be calculated to the data server end, signing a data calculation result and uploading the data calculation result to the data management block chain; the data providing end is used for applying to send the data to be calculated to the data server end according to the data requirements; and the data server is used for calculating the data to be calculated according to the data calculation model and sending the data calculation result to the data demand party.
The data management block chain is constructed, so that the data providing end, the data service end and the data demand end become nodes on the block chain, and under the condition that the data providing end, the data service end and the data demand end are separated, the safety and the confidentiality of data calculation are ensured, and the data to be calculated can achieve the effect of 'available invisible'.
For the convenience of understanding, the following further describes specific contents of the above block chain-based data management method:
firstly, a data management block chain is constructed, wherein the block chain at least comprises a data providing end, a data service end, a data demand end and a plurality of public ends, and the public ends can be respectively registered to be nodes on the block chain.
The public end can provide a data demand application for the data demand end, and when the data demand end receives the data demand application submitted to the public end from the outside, for example, when the data demand end receives a loan application from the public end, the data demand application is synchronized to each node on the chain through the block chain.
The data providing end responds to the data service end, the data providing end outputs data to be calculated to the data service end, and the data demand end outputs a data calculation model, such as a credit model, to the data service end.
And the data server side gathers the data to be calculated and the data calculation model, and performs grey box calculation and verification.
And the data server outputs the data calculation result to the data demand end, and signs and synchronizes the data calculation result on the chain.
In the method, after receiving the data demand application, the data providing end firstly extracts the data to be calculated and decrypts the data to be calculated, and then the data can be sent to the data server end.
The data providing end comprises a data providing unit, a data decrypting unit and a key storing unit. The data decryption unit judges whether the data to be calculated can be normally decrypted or not, if the data to be calculated can be normally decrypted, decryption processing is carried out, and then the decrypted data are sent to the data providing unit. If the data decryption unit fails and can not decrypt the data normally, an error prompt is sent to the data providing end, the data providing end sends a key calling request to the key storage unit according to the error prompt, the key storage unit sends the key to the data providing unit according to the instruction, and then the data to be calculated is decrypted in the data providing unit. The data providing unit stores a decryption algorithm in advance, but no key exists in the data providing unit, if the data decryption unit has an error, the data providing unit can acquire the key from the key storage unit, the data to be calculated is decrypted by combining the key and the decryption algorithm in the key storage unit, and after decryption, the data providing unit automatically clears the acquired key so as to ensure that the key does not leak, thereby further ensuring the confidentiality of the data.
In addition, the data server at least comprises a first subdata server and a second subdata server; the data demand side divides the data calculation model into at least a first data calculation submodel and a second data calculation submodel; and the data demand side sends the first data calculation submodel to the first sub data server side, and sends the second data calculation submodel to the second sub data server side. The first sub data server side calculates data to be calculated according to the first data calculation sub model to obtain a data calculation sub result, and sends the data calculation sub result to the second sub data server side; and the second sub data server side calculates the data calculation sub result according to the second data calculation sub model to obtain a data calculation result.
The data demand side splits the data calculation model and sends each split sub-model to different sub-data server sides respectively. And the data server side calculates the data technical result of the previous sub-data server side as the calculation input value of the next sub-data server side. Therefore, the safety and the confidentiality of the data calculation model can be protected.
Of course, the data demand side may also perform other processing on the data calculation model, for example, the data demand side may perform redundancy setting or confusion setting on the data calculation model, so that other parties cannot normally use the data calculation model after obtaining the data model, and the like, as long as the security of the data calculation model can be ensured.
The present embodiment further provides a device for data management based on a block chain, where the device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
The present embodiments also provide a non-volatile computer storage medium for data management based on blockchains, the non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is directed to methods, apparatus (systems), and computer program products according to embodiments of the present invention
A flowchart and/or block diagram of an article. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A data management method based on a block chain is characterized by comprising the following steps:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
2. The block chain-based data management method according to claim 1, wherein the applying for the data providing end to send the data to be calculated to the data service end according to the data requirement includes:
after the data providing end obtains the data demand application, the data providing end extracts the data to be calculated and sends a decryption request to a data decryption unit;
the data decryption unit judges whether normal decryption can be carried out or not, and if not, an error prompt is sent to the data providing end;
the data providing end sends a key calling request to a key storage unit after receiving the error prompt;
the key storage unit sends a key to the data providing unit;
and the data providing unit calls the key to decrypt the data to be calculated.
3. The blockchain-based data management method of claim 2, further comprising:
the data providing unit integrates a decryption algorithm, and the data providing unit combines the key and the decryption algorithm to decrypt the data to be calculated;
and the data providing unit decrypts the data to be calculated and then clears the secret key.
4. The block chain-based data management method according to claim 1, wherein the data demand side sends a data calculation model corresponding to the data to be calculated to the data service side, and the method comprises:
the data server at least comprises a first subdata server and a second subdata server;
the data demand side divides the data calculation model into at least a first data calculation submodel and a second data calculation submodel;
and the data demand end sends the first data calculation sub-model to the first sub-data server side, and the data demand end sends the second data calculation sub-model to the second sub-data server side.
5. The block chain-based data management method according to claim 4, wherein the data server calculates the data to be calculated according to the data calculation model, and the method comprises:
the first subdata server side calculates the data to be calculated according to the first data calculation submodel to obtain a data calculation sub-result, and sends the data calculation sub-result to the second subdata server side;
and the second sub data server side calculates the data calculation sub result according to the second data calculation sub model to obtain a data calculation result.
6. The block chain-based data management method according to claim 1, wherein the data server calculates the data to be calculated according to the data calculation model, and further comprising:
the data server performs grey-box calculation on the data to be calculated;
and the data server side verifies the calculation result.
7. The blockchain-based data management method according to claims 1 to 6, wherein:
the data demand application is a loan application, and the data calculation model is a credit calculation model.
8. A blockchain-based data management system, the system comprising a plurality of following entities or nodes that collectively maintain data on a blockchain for data management:
a data demand end for receiving a data demand application,
and is used for sending the data calculation model corresponding to the data to be calculated to the data server,
the data management block chain is also used for signing the data calculation result and uploading the data calculation result to the data management block chain;
the data providing end is used for applying to send the data to be calculated to the data server end according to the data requirement;
and the data server is used for calculating the data to be calculated according to the data calculation model and sending a data calculation result to the data demand side.
9. An apparatus for block chain based data management, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
10. A non-transitory computer storage medium for blockchain based data management, storing computer-executable instructions configured to:
a data demand end receives a data demand application and synchronizes the data demand application to each node of a data management block chain;
based on an intelligent contract, applying for a data providing end according to the data demand to send data to be calculated to a data service end, and sending a data calculation model corresponding to the data to be calculated to the data service end by the data demand end;
the data server calculates the data to be calculated according to the data calculation model;
and the data server side sends a data calculation result to the data demand side, signs the data calculation result and uploads the data calculation result to the data management block chain.
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