WO2020211075A1

WO2020211075A1 - Decentralized secure multi-party data processing method and device, and storage medium

Info

Publication number: WO2020211075A1
Application number: PCT/CN2019/083427
Authority: WO
Inventors: 李升林; 黄高峰; 陈元丰; 张军; 孙立林
Original assignee: 云图有限公司
Priority date: 2019-04-19
Filing date: 2019-04-19
Publication date: 2020-10-22

Abstract

Embodiments of the present specification provide a decentralized secure multi-party data processing method and device and a storage medium. The method comprises: receiving a computation task provided by a blockchain node, wherein the computation task carries a contract identifier and a public key of a data requester, and a private contract corresponding to the contract identifier is pre-deployed on the blockchain node; obtaining, in response to the computation task, private data from a local data node; and performing collaborative computing, on the basis of the private data and a computation logic agreed upon in the private contract, with other computation nodes agreed upon in the private contract, and obtaining a computation result, such that one of the computation nodes agreed upon in the private contract encrypts the computation result by means of the public key, and uploads a ciphertext computation result to the blockchain node. The embodiments of the specification can reduce or eliminate the dependence of multi-party secure computation on centralization.

Description

Decentralized multi-party secure data processing method, device and storage medium

Technical field

This specification relates to the field of blockchain technology, in particular to a decentralized multi-party secure data processing method, device and storage medium.

Background technique

Secure Multi-Party Computation (MPC) refers to multiple parties holding their own private data to jointly execute a data calculation logic and obtain processing results, so as to realize the joint operation while ensuring the security of each party’s private data. Use the private data of all parties to achieve specific effects, so as to give full play to the value of the data.

However, the existing multi-party secure computing solutions generally have a centralized management module (such as a key management center or a node information configuration management module, etc.). Therefore, how to eliminate the dependence of multi-party secure computing on centralization has become an urgent technical problem to be solved.

Summary of the invention

The purpose of the embodiments of this specification is to provide a decentralized multi-party secure data processing method, device, and storage medium, so as to reduce or eliminate the dependence of multi-party secure computing on centralization.

To achieve the above objective, on the one hand, the embodiments of this specification provide a decentralized multi-party secure data processing method, the method includes:

Receiving a computing task provided by a blockchain node; the computing task carries a contract identifier and the public key of the data requester, and the privacy contract corresponding to the contract identifier is pre-deployed on the blockchain node;

In response to the computing task, obtaining private data from a local data node;

Based on the privacy data and the calculation logic agreed in the privacy contract, perform collaborative calculations with other computing nodes agreed in the privacy contract to obtain the calculation results; so that one of the calculation nodes agreed in the privacy contract is used The public key encrypts the calculation result, and uploads the ciphertext calculation result to the blockchain node.

On the other hand, the embodiment of this specification also provides a computing node, and the computing node includes:

The calculation task receiving module is used to receive the calculation task provided by the blockchain node; the calculation task carries the contract identification and the public key of the data requester, and the privacy contract corresponding to the contract identification is pre-deployed on the blockchain node on;

A private data acquisition module, which is used to acquire private data from a local data node in response to the computing task;

The multi-party collaborative calculation module is used to perform collaborative calculations with other computing nodes agreed in the privacy contract based on the privacy data and the calculation logic agreed in the privacy contract to obtain the calculation result; so that the privacy contract agreed One of the computing nodes of, encrypting the calculation result with the public key, and uploading the ciphertext calculation result to the blockchain node.

On the other hand, the embodiments of this specification also provide a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

On the other hand, the embodiment of this specification also provides another decentralized multi-party secure data processing method, which is applied to any blockchain node in a distributed network, and at least one privacy policy is pre-deployed on the blockchain node. Contract, the method includes:

Receiving a calculation transaction request initiated by a data requester; the calculation transaction request carries the contract identifier and the public key of the data requester;

Load the target privacy contract corresponding to the contract identifier;

Sending a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester;

When receiving the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract, save it in the target privacy contract, and the ciphertext calculation result is encrypted with the public key.

On the other hand, the embodiment of this specification also provides a blockchain node, at least one privacy contract is pre-deployed on the blockchain node, and the blockchain node includes:

The calculation transaction request receiving module is used to receive the calculation transaction request initiated by the data demander; the calculation transaction request carries the contract identifier and the public key of the data demander;

The privacy contract loading module is used to load the target privacy contract corresponding to the contract identifier;

A computing task sending module is used to send a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester;

The calculation result storage module is used to save the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract in the target privacy contract, and use the ciphertext calculation result as the Public key encryption.

On the other hand, the embodiment of this specification also provides another computer storage medium on which a computer program is stored, and the computer program is applied to any blockchain node in a distributed network, and the blockchain node At least one privacy contract is pre-deployed, and when the computer program is executed by the processor, the following steps are implemented:

Load the target privacy contract corresponding to the contract identifier;

It can be seen from the technical solutions provided in the above embodiments of this specification that, in the embodiments of this specification, the privacy data required by the computing nodes during collaborative computing is kept locally on the data provider and not leaked to other data providers, thus ensuring data privacy Sex and safety. At the same time, when the privacy contract is executed, the computing task provided by the blockchain node triggers the computing node to perform collaborative calculation, and the settlement result of the collaborative calculation is one of the computing nodes agreed in the privacy contract, which is encrypted with the public key of the data requester After the chain is connected to the blockchain node network. Therefore, the entire collaborative computing process does not need to rely on any trusted third party, and has better decentralization characteristics.

Description of the drawings

In order to more clearly explain the technical solutions in the embodiments of this specification or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments described in this specification. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor. In the attached picture:

Figure 1 is a schematic diagram of the system architecture of a decentralized multi-party secure data processing system in some embodiments of this specification;

FIG. 2 is a schematic diagram of interaction of the decentralized multi-party secure data processing system in some embodiments of this specification;

Figure 3 is a structural block diagram of an MPC node in some embodiments of this specification;

Figure 4 is a block diagram of the block chain node in some embodiments of this specification;

Figure 5 is a flowchart of a decentralized multi-party secure data processing method on the MPC node side in some embodiments of this specification;

Fig. 6 is a flowchart of a decentralized multi-party secure data processing method on the side of a blockchain node in some embodiments of this specification.

detailed description

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only a part of the embodiments in this specification, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this specification.

At present, MPC technology plays an important role in user credit investigations, joint data analysis of research institutions, electronic elections, electronic voting, electronic auctions, secret sharing, threshold signatures and other scenarios. However, in view of the data privacy problem of multi-party secure computing, existing multi-party secure computing solutions generally have a centralized management module (such as a key management center or a node information configuration management module, etc.). The existence of these centralized management modules may easily lead to problems such as low security, cumbersome transaction processes, and resource consuming.

In order to reduce or eliminate the dependence of multi-party secure computing on centralization, some embodiments of this specification provide a decentralized multi-party secure data processing system as shown in FIG. 1. The system may include MPC computing group and blockchain node network.

The MPC computing group can be a distributed network, which can include multiple MPC nodes, each MPC node corresponds to a data provider, and each MPC node is connected to a blockchain node in the blockchain node network on. The multiple MPC nodes may jointly participate in multi-party secure computing based on the private data obtained separately (that is, the multiple MPC nodes may perform multi-party secure computing collaborative computing based on the private data obtained separately). The MPC node can be used to receive the computing task provided by the blockchain node; the computing task carries the contract identifier and the public key of the data requester, and the privacy contract corresponding to the contract identifier is pre-deployed on the blockchain node; In response to the computing task, obtain private data from a local data node; based on the private data and the calculation logic agreed in the privacy contract, perform collaborative calculation with other computing nodes agreed in the privacy contract to obtain a calculation result; In order to make one of the computing nodes agreed in the privacy contract encrypt the calculation result with the public key, and upload the ciphertext calculation result to the blockchain node.

The blockchain node in the blockchain node network can be used to receive a calculation transaction request initiated by a data demander; the calculation transaction request carries the contract identifier and the public key of the data demander; loading corresponds to the contract identifier The privacy contract; send the calculation task to the computing node agreed in the privacy contract; when receiving the ciphertext calculation result returned by one of the computing nodes agreed in the privacy contract, save it to the privacy contract In order to facilitate the query of the data demand side. Among them, in order to improve data security, the data requester can temporarily generate a pair of public and private keys before initiating a calculation transaction request. The private key is retained by itself, and the public key is sent to the blockchain with the calculation transaction request.

It can be seen that in the above-mentioned decentralized multi-party secure data processing system, the private data required for each MPC node's calculation is kept locally on the data provider and not leaked to other data providers, thus ensuring the privacy of data And safety. At the same time, when the privacy contract is executed, the blockchain node triggers the MPC node agreed in the privacy contract to perform collaborative calculations, and the settlement result of the collaborative calculation is one of the MPC nodes agreed in the privacy contract (specifically, it can be agreed in the privacy contract ), after being encrypted with the public key of the data requester, it is uploaded to the blockchain node network. Therefore, the entire collaborative computing process does not need to rely on any trusted third party, and has better decentralization characteristics.

In some embodiments of this specification, each MPC node may correspond to one or more data nodes as needed. For example, when the same data provider signs up with different privacy contracts, the data provider can configure different data nodes for different privacy contracts. This kind of privacy data isolation can help improve the privacy data security of the data provider. Among them, the data node needs to register with the local MPC node in advance to wait to participate in the calculation. When the privacy contract is executed, the data node is responsible for providing the locally stored private data to the local MPC node. Before the MPC node performs collaborative calculations, it needs to obtain the calculation logic specified in the privacy contract to facilitate calculations in accordance with the calculation logic. In some embodiments, the MPC node can carry the contract identifier in the calculation task to match the calculation logic specified in the corresponding privacy contract from the blockchain node. In other embodiments, the MPC node may also obtain the calculation logic specified in the privacy contract in other ways. For example, the calculation task carries the calculation logic corresponding to the contract identifier, etc.; this specification does not limit this, and the specific method can be selected according to needs.

It should be pointed out that the privacy contract mentioned in this manual refers to a privacy smart contract, that is, a smart contract with privacy protection to prevent sensitive information from being exposed. In some embodiments of this specification, both the MPC node and the data node may be deployed locally on the data provider, so as to further improve the privacy data security of the data provider.

In some embodiments of this specification, each MPC node may be preloaded with a multi-party secure computing virtual machine (Virtual Machine, VM for short) to provide a runtime environment corresponding to the multi-party secure computing logic in the privacy contract. When the data provider corresponding to an MPC node has signed N private smart contracts at the same time, the MPC node can be configured with N corresponding virtual machines. In some exemplary embodiments, the multi-party secure computing virtual machine may be, for example, a Low Level Virtual Machine (LLVM for short), which can execute LLVM IR bytecode. Before the privacy contract is chained, the developer (or data provider) entrusted by the data provider can compile the MPC calculation function written in the high-level language into LLVM IR bytecode (that is, compile the high-level language program into a bytecode file), Then set parameters in combination with computing participants (ie MPC nodes), charging rules, etc., and finally can be compiled into a blockchain smart contract (ie, the aforementioned privacy contract). It can be seen that the calculation logic stored in the privacy contract can be a bytecode file. Correspondingly, when the MPC node performs collaborative computing, it can call the Just In Time Compilation (JIT compiler for short) of the virtual machine to convert the bytecode file containing the multi-party secure computing logic into executable code.

Because the existing multi-party secure computing technology uses the MPC BOOL circuit as the calculation script, the circuit file is extremely large and it is difficult to customize the algorithm (ie, the calculation logic), so it is not suitable for distributed application (Decentralized Application, referred to as DAPP) development scenarios. In the embodiment of this specification, it is no longer necessary to write a complicated MPC circuit, but a high-level language is used to write the MPC calculation function and compile it into LLVM IR bytecode; and the MPC node can call the JIT compiler of the pre-configured virtual machine , Convert the bytecode file containing MPC calculation functions into executable code. Therefore, in the embodiments of this specification, the calculation logic can be conveniently customized through high-level language programming, so that the DAPP development scenario can be better enriched.

In some embodiments of this specification, the MPC node may request the local data node for private data corresponding to the specified calculation parameter according to the specified calculation parameter carried in the calculation task. Among them, the designated calculation parameter indicates the result demand of the data demander. Therefore, the specified calculation parameter can be a result parameter or data index value. For example, in an exemplary scenario, the designated calculation parameter designated by the data demander may be the average sales price of a 5-carat diamond ring in 2018. For another example, in another exemplary scenario, the specified calculation parameter specified by the data demander may be the health index of the target population, and so on.

In some embodiments of this specification, the privacy contract generally stipulates that there are multiple MPC nodes participating in the calculation. Therefore, for any one of the MPC nodes, it can be performed together with other computing nodes agreed in the privacy contract. Collaborative computing to jointly complete a multi-party secure computing task. In order to prevent repeated submission of calculation results, one of the MPC nodes may be agreed as the calculation result submission node in the privacy contract, and each MPC node may perform peer-to-peer communication to facilitate collaborative calculations. After the calculation result submission node obtains the calculation result, it can first encrypt the calculation result with the public key of the data requester to obtain the ciphertext calculation result; then construct a blockchain transaction to upload the ciphertext calculation result to the chain through the transaction To the blockchain node so that the blockchain node can save it in the corresponding privacy contract.

In some embodiments of this specification, when each blockchain node in the blockchain node network discovers a calculation transaction request, it can load the corresponding privacy contract according to the contract identifier carried in the calculation transaction request, and check the local connection Whether the MPC node is a computing participant of the privacy contract; if the locally connected MPC node is a computing participant of the privacy contract, the corresponding computing task is generated and provided to the locally connected MPC node to trigger the locally connected MPC node to perform multi-party Safe calculation. When any blockchain node in the blockchain node network receives the ciphertext calculation result returned for the calculation task, it can be synchronized to all the blockchain nodes in the blockchain node network. Correspondingly, the data requester can send a calculation result query request to any blockchain node in the blockchain node network through a visual operation terminal (such as a smart phone, a computer, etc.). Upon receiving the calculation result query request from the data demander, the blockchain node may provide the ciphertext calculation result to the data demander. When the data requester obtains the ciphertext calculation result, it needs to decrypt the ciphertext calculation result with the private key corresponding to the public key, so that the plaintext calculation result can be obtained.

In some embodiments of this specification, in the aforementioned decentralized multi-party secure data processing system, the interaction between various nodes may be as shown in FIG. 2.

As shown in FIG. 3, in some embodiments of this specification, the MPC node may include a computing task receiving module 31, a privacy data acquiring module 32, and a multi-party collaborative computing module 33. among them:

The computing task receiving module 31 can be used to receive computing tasks provided by blockchain nodes; the computing tasks carry the contract identifier and the public key of the data requester, and the privacy contract corresponding to the contract identifier is pre-deployed in the block On the chain node;

The private data acquisition module 32 may be used to acquire private data from a local data node in response to the computing task;

The multi-party collaborative computing module 33 can be used to perform collaborative calculations with other computing nodes agreed in the privacy contract based on the privacy data and the calculation logic agreed in the privacy contract to obtain a calculation result; so that the privacy contract One of the computing nodes agreed in the, encrypts the calculation result with the public key, and uploads the ciphertext calculation result to the blockchain node.

In some other embodiments of this specification, the MPC node may further include a virtual machine loading module 30. The virtual machine loading module 30 can be used to pre-load the target virtual machine to provide a runtime environment of the computing logic.

As shown in FIG. 4, in some embodiments of this specification, the blockchain node may include a calculation transaction request receiving module 41, a privacy contract loading module 42, a calculation task sending module 43, and a calculation result saving module 44. among them:

The calculation transaction request receiving module 41 may be used to receive a calculation transaction request initiated by a data demander; the calculation transaction request carries the contract identifier and the public key of the data demander;

The privacy contract loading module 42 can be used to load the target privacy contract corresponding to the contract identifier;

The computing task sending module 43 can be used to send computing tasks to the computing nodes agreed in the target privacy contract; the computing tasks carry the contract identifier and the public key of the data requester;

The calculation result storage module 44 may be used to save the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract in the target privacy contract, and the ciphertext calculation result is used The public key encryption.

In some other embodiments of this specification, the blockchain node may further include a calculation result providing module 45. The calculation result providing module 45 may be used to provide the ciphertext calculation result to the data requester when the calculation result query request from the data requester is received.

In some embodiments of this specification, the aforementioned nodes may be desktop computers, tablet computers, notebook computers, smart phones, digital assistants, smart wearable devices, and so on. Among them, smart wearable devices may include smart bracelets, smart watches, smart glasses, smart helmets, and so on. Of course, the node is not limited to the aforementioned electronic device with a certain entity, and it can also be software running in the aforementioned electronic device.

For the convenience of description, when describing the above nodes, the functions are divided into various units and described separately. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and/or hardware.

As shown in FIG. 5, the decentralized multi-party secure data processing method on the MPC node side may include the following steps:

S501. Receive a computing task provided by a blockchain node; the computing task carries a contract identifier and a public key of a data requester, and a privacy contract corresponding to the contract identifier is pre-deployed on the blockchain node.

S502. In response to the computing task, obtain private data from a local data node.

S503. Based on the privacy data and the calculation logic agreed in the privacy contract, perform collaborative calculation with other computing nodes agreed in the privacy contract to obtain a calculation result; so that one of the calculation nodes agreed in the privacy contract , Encrypting the calculation result with the public key, and uploading the ciphertext calculation result to the blockchain node.

As shown in Fig. 6, the decentralized multi-party secure data processing method on the blockchain node side may include the following steps:

S601. Receive a calculation transaction request initiated by a data demander; the calculation transaction request carries a contract identifier and the public key of the data demander.

S602. Load the target privacy contract corresponding to the contract identifier.

S603. Send a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester.

S604: When receiving the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract, save it in the target privacy contract, and the ciphertext calculation result is encrypted with the public key.

Although the process flow described above includes multiple operations appearing in a specific order, it should be clearly understood that these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel (for example, using parallel processors or Multi-threaded environment).

The present invention is described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated It is a device that realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device. The device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment. The instructions provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram.

In a typical configuration, the computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory.

The memory may include non-permanent memory in computer readable media, 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 computer readable media.

Computer-readable media include permanent and non-permanent, removable and non-removable media, and any method or technology can be used to store information. The information can be computer-readable instructions, data structures, program modules, 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, CD-ROM, digital versatile disc (DVD) or other optical storage, Magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

It should also be noted that the terms "including", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, or device including a series of elements not only includes those elements, but also includes no Other elements clearly listed, or they also include elements inherent to the process, method, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other same elements in the process, method, or device that includes the element.

Those skilled in the art should understand that the embodiments of this specification can be provided as methods, systems or computer program products. Therefore, this specification may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the method embodiment, since it is basically similar to the system embodiment, the description is relatively simple, and for related parts, please refer to the partial description of the system embodiment.

The above descriptions are only examples of this specification and are not intended to limit this specification. For those skilled in the art, this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included in the scope of the claims of this specification.

Claims

A decentralized multi-party secure data processing method, characterized in that the method includes:

Receiving a computing task provided by a blockchain node; the computing task carries a contract identifier and the public key of the data requester, and the privacy contract corresponding to the contract identifier is pre-deployed on the blockchain node;

In response to the computing task, obtaining private data from a local data node;

Based on the privacy data and the calculation logic agreed in the privacy contract, perform collaborative calculations with other computing nodes agreed in the privacy contract to obtain the calculation results; so that one of the calculation nodes agreed in the privacy contract is used The public key encrypts the calculation result, and uploads the ciphertext calculation result to the blockchain node.
The decentralized multi-party secure data processing method according to claim 1, wherein the calculation task is generated by the blockchain node according to a received calculation transaction request, and the calculation transaction request is determined by the data request Party initiated.
The decentralized multi-party secure data processing method according to claim 1, wherein said obtaining private data from a local data node comprises:

According to the specified calculation parameter carried in the calculation task, request the local data node for private data corresponding to the specified calculation parameter.
The decentralized multi-party secure data processing method of claim 1, wherein the local data node is a pre-registered local data node.
The decentralized multi-party secure data processing method of claim 1, further comprising:

The target virtual machine is preloaded to provide a runtime environment of the computing logic.
The decentralized multi-party secure data processing method according to claim 5, wherein the calculation logic is a bytecode file, and the source code corresponding to the bytecode file is a high-level language program;

Correspondingly, when performing collaborative calculations, the just-in-time compiler of the target virtual machine is invoked to convert the calculation logic into executable code.
A computing node, characterized in that the computing node includes:

The calculation task receiving module is used to receive the calculation task provided by the blockchain node; the calculation task carries the contract identification and the public key of the data requester, and the privacy contract corresponding to the contract identification is pre-deployed on the blockchain node on;

A private data acquisition module, which is used to acquire private data from a local data node in response to the computing task;

The multi-party collaborative calculation module is used to perform collaborative calculations with other computing nodes agreed in the privacy contract based on the privacy data and the calculation logic agreed in the privacy contract to obtain the calculation result; so that the privacy contract agreed One of the computing nodes of, encrypting the calculation result with the public key, and uploading the ciphertext calculation result to the blockchain node.
8. The computing node of claim 7, wherein the computing task is generated by the blockchain node according to a received computing transaction request, and the computing transaction request is initiated by the data demander.
The computing node according to claim 7, wherein the obtaining private data from a local data node comprises:

According to the specified calculation parameter carried in the calculation task, request the local data node for private data corresponding to the specified calculation parameter.
8. The computing node of claim 7, wherein the local data node is a pre-registered local data node.
8. The computing node of claim 7, further comprising:

The virtual machine loading module is used to preload the target virtual machine to provide the runtime environment of the computing logic.
11. The computing node of claim 11, wherein the computing logic is a bytecode file, and the source code corresponding to the bytecode file is a high-level language program;

Correspondingly, when the multi-party collaborative computing module performs collaborative computing, it calls the just-in-time compiler of the target virtual machine to convert the computing logic into executable code.
A computer storage medium, on which a computer program is stored, characterized in that the following steps are implemented when the computer program is executed by a processor:

Receiving a computing task provided by a blockchain node; the computing task carries a contract identifier and the public key of the data requester, and the privacy contract corresponding to the contract identifier is pre-deployed on the blockchain node;

In response to the computing task, obtaining private data from a local data node;

Based on the privacy data and the calculation logic agreed in the privacy contract, perform collaborative calculations with other computing nodes agreed in the privacy contract to obtain the calculation results; so that one of the calculation nodes agreed in the privacy contract is used The public key encrypts the calculation result, and uploads the ciphertext calculation result to the blockchain node.
A decentralized multi-party secure data processing method, characterized in that it is applied to any blockchain node in a distributed network, at least one privacy contract is pre-deployed on the blockchain node, and the method includes:

Receiving a calculation transaction request initiated by a data requester; the calculation transaction request carries the contract identifier and the public key of the data requester;

Load the target privacy contract corresponding to the contract identifier;

Send a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester;

When receiving the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract, save it in the target privacy contract, and the ciphertext calculation result is encrypted with the public key.
The method for decentralized multi-party secure data processing according to claim 14, characterized in that it further comprises:

When receiving a calculation result query request from the data demander, the ciphertext calculation result is provided to the data demander.
A block chain node, characterized in that at least one privacy contract is pre-deployed on the block chain node, and the block chain node includes:

The calculation transaction request receiving module is used to receive the calculation transaction request initiated by the data demander; the calculation transaction request carries the contract identifier and the public key of the data demander;

The privacy contract loading module is used to load the target privacy contract corresponding to the contract identifier;

A computing task sending module is used to send a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester;

The calculation result storage module is used to save the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract in the target privacy contract, and use the ciphertext calculation result as the Public key encryption.
The blockchain node of claim 16, further comprising:

The calculation result providing module is configured to provide the ciphertext calculation result to the data requester when the calculation result query request from the data requester is received.
A computer storage medium having a computer program stored thereon, wherein the computer program is applied to any blockchain node of a distributed network, and at least one privacy contract is pre-deployed on the blockchain node, When the computer program is executed by the processor, the following steps are implemented:

Receiving a calculation transaction request initiated by a data requester; the calculation transaction request carries the contract identifier and the public key of the data requester;

Load the target privacy contract corresponding to the contract identifier;

Sending a computing task to the computing node agreed in the target privacy contract; the computing task carries the contract identifier and the public key of the data requester;

When receiving the ciphertext calculation result returned by one of the computing nodes agreed in the target privacy contract, save it in the target privacy contract, and the ciphertext calculation result is encrypted with the public key.