CN114329601B

CN114329601B - Multi-party calculation contribution degree evaluation method, device, server and storage medium

Info

Publication number: CN114329601B
Application number: CN202111663692.4A
Authority: CN
Inventors: 加雄伟
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2021-12-31
Filing date: 2021-12-31
Publication date: 2023-01-17
Anticipated expiration: 2041-12-31
Also published as: CN114329601A

Abstract

The invention discloses a method and a device for evaluating multi-party calculation contribution degree, a server and a storage medium, belongs to the technical field of block chains, and solves the problem of low reliability of evaluation of multi-party calculation contribution degree. The method comprises the following steps: responding to the contribution calculation request, if the identity identification information of the requesting party and the identity identification information of the requested party are checked from the stored identity identification information of each participant of the multi-party calculation task, and the identity identification is determined to be passed for the identity identification information of any participant of the multi-party calculation task; if the stored task identification is determined through checking, under the condition that a contribution degree calculation model obtained by negotiation performed by the cooperation device and the participation device in advance is determined to be stored, reading related data of the multi-party calculation task from the block chain service system; and processing the related data of the multi-party computing task according to the contribution degree computing model to obtain contribution degree evaluation information. The method is favorable for obtaining a credible and reliable multi-party calculation contribution degree evaluation result.

Description

Multi-party calculation contribution degree evaluation method, device, server and storage medium

Technical Field

The invention relates to the technical field of block chains, in particular to a method, a device, a server and a storage medium for evaluating multi-party calculation contribution degree.

Background

Data security and stable privacy protection are the focus of attention of all parties in the industry, data nearby calculation and different data security domains become important requirements of data owners and custody parties, and meanwhile, the data owners and custody parties also have motivation to cooperate with other parties so as to rely on respective data sharing and creation values. Thus, multi-party computing is becoming a popular trend.

In multi-party computing, credible multi-party computing contribution degree evaluation is of great importance to promoting application and development of multi-party computing. However, because the data is 'available and invisible', researches on the integrity and contribution degree of each participant in the calculation are less, and a precaution mechanism is also absent for data counterfeiting of the calculation contribution degree, so that the credibility of the multi-party calculation contribution degree evaluation cannot be ensured.

Disclosure of Invention

Therefore, the invention provides a method, a device, a server and a storage medium for evaluating the multi-party calculation contribution degree, which are used for solving the problem that the reliability of the evaluation of the multi-party calculation contribution degree cannot be ensured in the related technology.

In order to achieve the above object, a first aspect of the present invention provides a method for evaluating multi-party computation contribution, the method comprising:

responding to a contribution calculation request received through a multi-party calculation service proxy data interface of an evaluation system server, and acquiring task identification of a multi-party calculation task, identification information of a requesting party and identification information of a requested party from the contribution calculation request;

if the identity identification information of the requesting party and the identity identification information of the requested party are checked from the stored identity identification information of each participant of the multi-party computing task and are the identity identification information of any participant of the multi-party computing task, the identity identification is determined to be passed; each participant comprises at least one cooperation device and at least two participant devices;

if the task identifier is determined to be stored through checking and the contribution degree calculation model obtained by the negotiation between the cooperation device and the participation device in advance is determined to be stored, reading the related data of the multi-party calculation task from the block chain service system through a block chain service agent data interface;

and processing the related data of the multi-party computing task according to the contribution degree computing model to obtain contribution degree evaluation information of the device corresponding to the requested party to the multi-party computing task, and feeding back the contribution degree evaluation information to the device corresponding to the requesting party.

Wherein the contribution evaluation information comprises participation degree and value contribution degree; the relevant data of the multi-party computing task comprises: specific indexes of participation degree and specific indexes of value contribution degree; the specific indexes of the value contribution degree comprise: the single calculation amount, the calculation times and the number of updated and received parameters for completing the calculation;

the processing the relevant data of the multi-party computing task according to the contribution degree computing model to obtain the contribution degree evaluation information of the device corresponding to the requested party to the multi-party computing task includes:

calculating the sum of the specific index values of the participation degrees of the participants, and calculating the ratio of the specific index value of the participation degree of the requested party to the specific index value of the participation degree of the participants to obtain the value of the participation degree of the requested party; wherein, the specific index of the participation degree comprises any one of participation duration, participation period and participation times;

calculating the sum of the effective contribution degrees of the participants according to the specific indexes of the value contribution degrees of the participants, and calculating the ratio of the effective contribution degree of the requested party to the sum of the effective contribution degrees of the participants to obtain the value of the value contribution degree of the requested party; and calculating the product of the single calculated amount and the calculated times of the corresponding calculation, and adding the product and the updated and received parameter number to obtain the effective contribution of each participant.

Wherein the data related to the multi-party computing task is valid data; before processing the data related to the multi-party computing task according to the contribution degree computing model, the multi-party computing contribution degree evaluation method further comprises the following steps:

reading index information and log information of a data set of the multi-party computing task from a block chain service system;

acquiring index information of actual calculation data when the requested party participates in the multi-party calculation task from the log information;

the index information of the calculation data comprises method information and parameter information for obtaining the calculation data and summary information of the calculation data; the summary information of the calculation data is used for uniquely determining the content of the calculation data; the summary information in the index information of the calculation data is encrypted and is not allowed to be modified;

and calculating a correlation value of the index information of the actual calculation data and the index information of the data set of the multi-party calculation task, and determining that the correlation data of the multi-party calculation task is valid data under the condition that the correlation value is greater than a preset correlation threshold value.

Wherein the multi-party computing task comprises task executable code; the cooperation device and the participation device are used for acquiring a pre-appointed data set through index information of a shared data set and processing the data set according to the same task executable code so as to process the multi-party computing task;

the cooperative device and the participating device are further used for executing the multi-party computing task in a secure container and performing correlation check on the index information and the actual computing data of the data set during the execution process of the task executable code;

before responding to the contribution degree calculation request received by the multi-party calculation service agent data interface of the evaluation system server, the multi-party calculation contribution degree evaluation method further comprises the following steps:

and storing the log information of the cooperative device and the log information of the participating devices, which are received through a multi-party computing service proxy data interface, into the block chain service system through a block chain service proxy data interface.

Wherein the relevant data of the multi-party computing task is the relevant data stored into the block chain service system by an evaluation system server after the cooperation device and the participant device execute the multi-party computing task;

in a case that the multi-party computing task is a one-time computing task, before the responding to the contribution degree computing request received through the multi-party computing service agent data interface of the evaluation system server, the multi-party computing contribution degree evaluation method further includes:

receiving task starting state information of the multi-party computing task sent by the cooperation device through the multi-party computing service agent data interface; wherein the task start state information is information sent to an evaluation system server when the cooperative device sends a task execution notification message to each participating device to cause the participating devices to start executing the multi-party computing task; wherein the task execution notification message includes at least one of: task identification, calculation codes and calculation parameters of the multi-party calculation task, identification information or description information of other participating devices except the participating devices, and encryption information of data returned by the participating devices to the cooperative device after calculation is finished;

storing task starting state information of the multi-party computing task to the block chain service system through a block chain service agent data interface;

storing first task execution information of the participating device received through the multi-party computing service proxy data interface to the blockchain service system through the blockchain service proxy data interface; wherein the first task execution information is that the participating device executes, after receiving the task execution notification message, the multi-party computing task: information for recording related information of at least one operation of task check and authentication, task execution and task execution result feedback;

storing second task execution information of the collaboration device received through the multi-party computing service proxy data interface to the blockchain service system through the blockchain service proxy data interface; the second task execution information is an execution result of the multi-party computing task recorded by the cooperation device and is sent to the block chain service agent data interface after the multi-party computing is finished.

Under the condition that the multi-party computing task is a multi-time repetitive computing task, each participating device is used for continuously executing the multi-party computing task and exchanging intermediate process parameters with other participating devices through the cooperation device, wherein the intermediate process parameters at least comprise intermediate computing results; wherein, when being used for continuously executing the multi-party computing task, each of the participating devices is specifically configured to:

receiving an evaluation notification message sent by the cooperative device, wherein the evaluation notification message is used for notifying the participating devices to execute an evaluation task so as to evaluate the state of an intermediate calculation result of the participating devices executing the multi-party calculation task;

under the condition that the intermediate calculation result meets the execution condition of a preset calculation process, the multi-party calculation task is continuously executed, and a corresponding evaluation result is fed back to the cooperation device;

sending an execution end notification message and an execution final result of the multi-party computing task to the cooperation apparatus in case that a predetermined computing termination condition is satisfied;

and wherein the first task execution information further comprises: at least one of the intermediate calculation result, the state of executing the intermediate calculation result, the evaluation result, the execution end notification message and the execution final result recorded by the participating device while continuously executing the multi-party calculation task; the second task execution information further includes: at least one of the intermediate process parameters, the evaluation notification message, the evaluation result, the execution end notification message, and the execution final result recorded by the cooperation apparatus.

The task starting state information and the second task execution information are information which is sent to the multiparty computing service agent data interface after being processed by first safety guarantee, and the first task execution information is information which is sent to the multiparty computing service agent data interface after being processed by second safety guarantee;

the first security and safety process includes: at least one of the first signature processing and the encryption processing after the first signature processing; the information to be sent in the task starting state information and the second task execution information is sent; the first signature processing includes: the cooperation device generates first summary information for at least part of the information to be sent, and uses a private key of the cooperation device to sign the first summary information; the encryption processing after the first signature processing comprises: the cooperation device encrypts the information to be sent after the first signature processing by using a preset encryption mode; the second security and safety process includes: at least one of the second signature processing and the encryption processing after the second signature processing; wherein the second signature processing comprises: the participating device generates second summary information for at least part of the sent first task execution information, and signs the second summary information by using a private key of the participating device; the encryption processing after the second signature processing comprises: the cooperation device encrypts the first task execution information subjected to the second signature processing by using a preset encryption mode; the storing the task starting state information of the multi-party computing task to the block chain service system through a block chain service agent data interface comprises:

if the task starting state information is encrypted, decrypting the encrypted task starting state information by using a preset decryption mode, and verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted task starting state information carries the signature of the cooperation device, and if the signature passes the verification, storing the task starting state information to the block chain service system through a block chain service proxy data interface;

the storing first task execution information of the participating device received through the multi-party computing service proxy data interface to the blockchain service system through the blockchain service proxy data interface comprises:

if the first task execution information is encrypted first task execution information, decrypting the encrypted first task execution information by using a preset decryption mode, and under the condition that the decrypted first task execution information carries a signature of a participating device, verifying the signature of the participating device by using public key information of the participating device, if the signature passes the verification, storing the first task execution information to the blockchain service system through a blockchain service proxy data interface;

the storing second task execution information of the collaboration device, which is received through the multi-party computing service proxy data interface, to the blockchain service system through the blockchain service proxy data interface includes:

if the second task execution information is encrypted second task execution information, decrypting the encrypted second task execution information by using a preset decryption mode, verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted second task execution information carries the signature of the cooperation device, and if the signature passes the verification, storing the second task execution information to the block chain service system through a block chain service proxy data interface.

Wherein the task is a successfully negotiated and registered task; before responding to the contribution degree calculation request received by the multi-party calculation service agent data interface of the evaluation system server, the multi-party calculation contribution degree evaluation method further comprises the following steps:

receiving a task registration request from the cooperative device in response to a multi-party computing service agent data interface of an evaluation system server, wherein the task registration request is used for registering a multi-party computing task pre-negotiated by the cooperative device and the participating devices, and task information of the multi-party computing task comprises at least one of the following information items: selecting a model for multi-party calculation, calculating times of the multi-party calculation and data set information for the multi-party calculation;

under the condition that the multi-party computing task is determined to be allowed to be registered according to a preset task registration strategy, generating a task identifier of the multi-party computing task;

storing the task identifier and the task information in an evaluation system server, and/or storing the task identifier and the task information in the blockchain service system through the blockchain service proxy data interface of the evaluation system server;

feeding back a processing result of the task registration request to the cooperative device through a multi-party computing service agent data interface of an evaluation system server so as to inform the participating device of being ready to participate in the multi-party computing task, and receiving information which is fed back by the participating device and is used for indicating acceptance and being ready to participate in the multi-party computing task.

Wherein, the cooperative device and the participant device are registered devices, and before responding to the contribution degree calculation request received by the multi-party calculation service proxy data interface of the evaluation system server, the multi-party calculation contribution degree evaluation method further comprises:

receiving, by the multi-party computing service proxy data interface, a first device registration request of the cooperating device and a second device registration request of the participating device;

performing a registration check on the cooperating device and the participating device according to a predetermined device registration policy;

in the case that the registration check result is that the registration of the cooperative device and the participating device is permitted, signing the certificate of the cooperative device and signing the certificate of the participating device using a private key of an evaluation system server;

storing relevant information of a processing process of device registration of the cooperation device and the participation device to the block chain service system through the block chain service agent data interface;

feeding back first device registration response information to the cooperative device through the multi-party computing service proxy data interface, wherein the first device registration response information comprises a registration check result of the cooperative device, a certificate of the cooperative device with an evaluation system server signature, a certificate of the evaluation system server and a public key of the evaluation system server;

and feeding back second device registration response information to the participating device through the multi-party computing service proxy data interface, wherein the second device registration response information comprises a registration check result of the participating device, a certificate of the participating device with an evaluation system server signature, a certificate of the evaluation system server and a public key of the evaluation system server.

The second aspect of the present invention provides a multi-party calculation contribution degree evaluation device, including: the multi-party computing service agent module is used for responding to a contribution computing request received through a multi-party computing service agent data interface of the evaluation system server and acquiring task identification of a multi-party computing task, identity identification information of a requesting party and identity identification information of a requested party from the contribution computing request;

the service strategy module is used for checking the identity identification information of the requesting party and the identity identification information of the requested party from the stored identity identification information of each participant of the multi-party computing task, and determining that the identity identification is passed if the identity identification information is the identity identification information of any participant of the multi-party computing task; each participant comprises at least one cooperation device and at least two participant devices;

the block chain service agent module is used for reading the related data of the multi-party computing task from the block chain service system through a block chain service agent data interface under the conditions that the task identification is determined to be stored through checking and the contribution degree computing model obtained by the negotiation performed in advance by the cooperation device and the participation device is determined to be stored;

the service strategy module is further used for processing the relevant data of the multi-party computing task according to the contribution degree computing model to obtain contribution degree evaluation information of a device corresponding to the requested party to the multi-party computing task;

the multi-party computing service agent module is also used for feeding back the contribution degree evaluation information to a device corresponding to the requesting party.

A third aspect of the present invention provides a contribution degree evaluation service system server, including: one or more processors; a memory having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to implement the multiparty computation contribution evaluation method of the present invention; one or more I/O interfaces connected between the processor and the memory and configured to enable information interaction between the processor and the memory.

A fifth aspect of the present invention provides a computer-readable medium, on which a computer program is stored, which program, when executed by a processor, implements a multi-party computation contribution evaluation method according to the present invention as described above.

The invention has the following advantages: by introducing an evaluation system service framework and a block chain service system, the method and the system can simultaneously provide the trust-improving related requirements for the related devices of the multi-party computing task, thereby ensuring that all parties of the multi-party computing task obtain a reliable multi-party computing contribution degree evaluation mechanism. The method is beneficial to the application and popularization of the multi-party computing technology, and is beneficial to the credible and safe reutilization of own data and the establishment of value of data parties.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.

FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;

FIG. 2 is a flowchart of a method for evaluating multi-party computation contribution according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating identity registration between a multi-party computing cooperation device and a multi-party computing participant device according to an embodiment of the present invention;

FIG. 4 is a flow chart of a registration process for multi-party computing tasks according to an embodiment of the present invention;

FIG. 5 is a flowchart of a multi-party computing service system for data storage according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating a one-time computing execution of a multi-party computing task according to an embodiment of the present invention;

FIG. 7 is a flow chart of performing repetitive computations for a multi-party computing task according to an embodiment of the present invention;

FIG. 8 is a flowchart of the evaluation of the contribution of the multi-party computing task according to the embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a multi-party calculation contribution degree evaluation apparatus according to an embodiment of the present invention;

FIG. 10 is a block diagram of a multi-party computing service system according to an embodiment of the present invention;

fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are given by way of illustration and explanation only, not limitation.

As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

When the terms "comprises" and/or "comprising" are used herein, the terms "comprises," "comprising," "includes," "including," "includes" and/or "including," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

Embodiments of the invention may be described with reference to plan and/or cross-sectional views in light of idealized schematic illustrations of the invention. Accordingly, the example illustrations can be modified in accordance with manufacturing techniques and/or tolerances.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

In an actual application scenario, in multi-party calculation, as data is 'available and invisible', a plurality of problems exist for the integrity, contribution degree, profit allocation method and the like of each participant in calculation. Credible multi-party computing contribution degree evaluation is important for promoting application and development of multi-party computing. The industry has less research on the problem, most of the research is concentrated on multi-party calculation, the research on the contribution degree calculation in the multi-party calculation is insufficient, and meanwhile, a precaution mechanism is also lacked for data counterfeiting of the calculation contribution degree.

Fig. 1 shows a system architecture diagram of an embodiment of the invention. In FIG. 1, the architecture includes a multi-party computing service system 10, a contribution evaluation service framework 20, and a blockchain service system 30. Wherein, the multi-party computing service system 10 includes at least one multi-party computing cooperation device 110 and at least two multi-party computing participant devices 120; the contribution degree evaluation service framework 20 includes at least one multi-party computation service agent module 210, a service policy module 220 and at least one block chain service agent module 230, and the service policy module 220 may specifically include a data management unit 221, a contribution degree computation unit 222 and a contribution degree computation model management unit 223.

As shown in FIG. 1, with the support of the multi-party computing collaboration device 110, the multi-party computing participant devices 120 interact with the designated multi-party computing tasks to cooperatively compute the multi-party computing tasks. The multi-party computing cooperation device 110 issues the multi-party computing task to the multi-party computing participation device 120, and the latter feeds back the computing result to the former after computing. The multi-party computing task may be a one-time computing task or a persistent computing task. In the case of a persistent computing task, the multi-party computing cooperation device 110 and the multi-party computing participant device 120 may exchange the intermediate computing process result for the multi-party computing task. That is, the multi-party computing participant device 120 may continuously interact with the multi-party computing cooperation device 110 according to a prior agreement when performing multi-party computing tasks.

In an embodiment of the present invention, the related information of the multi-party computing task at least includes: identification, type, parameters, interaction method, etc. of the multi-party computing task.

In some embodiments, the information related to the multi-party computing task may further include: information for identifying the identity of the multi-party computing collaboration device 110, such as corresponding identification information, credentials, etc., and information for identifying the multi-party computing participant devices 120 participating in the relevant multi-party computing tasks, such as corresponding identification information, credentials, etc.

In some embodiments, the information related to the multi-party computing task may further include: the communication channel data encryption information comprises an encryption and decryption method, parameters, an encryption and decryption key and the like. The multi-party computing cooperation device 110 can encrypt the communication channel data encryption information using the public key of each of the multi-party computing participant devices 120, so that the multi-party computing participant devices 120 decrypt the relevant information using their own private keys to obtain the unencrypted communication channel data information. The multi-party computing collaboration device 110 may interact with different multi-party computing participant devices 120 using different key hierarchies or keys for the same multi-party computing task.

In fig. 1, the blockchain service system 30 is used for storing data generated by a multi-party computing task during registration, execution and the like, and supporting reading of relevant data for contribution evaluation. Data generated during the access of the relevant data and during the access will also be stored in the blockchain service system 30. The block chain service system 30 is not specifically limited in the embodiment of the present invention, and any block chain service system that satisfies data tamper resistance and can ensure data consistency, integrity, and privacy is applicable to the embodiment of the present invention.

With continued reference to fig. 1, in some embodiments, the contribution evaluation service framework 20 refers to a service system for completing the contribution evaluation service in the embodiments of the present invention; the contribution evaluation service refers to an application or service for evaluating the contribution of each multiparty computing participation system completing the multiparty computing task.

In the embodiment of the present invention, the contribution degree refers to the participation degree and the value contribution degree of a certain multi-party computing participant device 120 or all multi-party computing participant devices 120 for a certain multi-party computing task. The participation degree can be expressed by percentage, and the specific indexes for measuring participation in the multi-party computing task can comprise: length of participation time, calculation period of participation, or number of calculations of participation. The value contribution can also be expressed in percentage, and the effective calculation amount for completing the multi-party calculation task is measured. The effective calculation amount generally refers to a weighted value of the number of bytes and the number of times of calculation, and is applicable to different calculation methods.

In the embodiment of the present invention, there is a specific identifier for each multi-party computing task, namely, the task identifier of the multi-party computing task. This particular identification may be stored with the respective multi-party computing task data for use in finding and identifying relevant data for the stored multi-party computing tasks in the blockchain services system 30.

With continued reference to FIG. 1, a multi-party computing service broker module 210 is responsible for interacting with the multi-party computing service system 10. There may be multiple multi-party computing service proxy modules 210. A multi-party computing service broker module 210 may interact with one or more multi-party computing service systems. The multi-party computing cooperation device 110 and the multi-party computing participation device 120 in the multi-party computing service system interact with the multi-party computing service agent module 210 respectively, and relevant interaction items comprise registration of the multi-party computing cooperation device 110, registration of the multi-party computing participation device 120, initiation/execution/data updating of multi-party computing tasks, contribution degree evaluation and the like. The multi-party computing service system 10 can write the above related information into the block chain service system 30 at the same time.

The service policy module 220 is responsible for managing service policies in the processes of multi-party computing task service, contribution degree computation and the like, including a security authentication mechanism and the like.

The data management unit 221 is responsible for processing data related to the multi-party computing task from the multi-party computing service system 10 and/or the blockchain service system 30, so as to support the contribution degree computing unit 222 to compute the contribution degree and assist in storing data submitted by each participant of the multi-party computing task, and the related data is finally stored in the blockchain service system 30; the contribution degree calculation unit 222 is responsible for calculating the contribution degree of each of the multi-party calculation participating devices 120 for the selected multi-party calculation task and the selected contribution degree calculation model; the contribution degree calculation model management unit 223 is responsible for managing the calculation model of the contribution degree.

A blockchain service agent module 230 for taking charge of interaction with the blockchain service system 30.

In the embodiment of the present invention, the contribution evaluation service framework 20, through the interaction of the blockchain service agent module 230 and the blockchain service system 30, stores and reads the data information related to the contribution evaluation. There may be more than one blockchain service agent module 230. A blockchain service broker module 230 may interact with one or more blockchain service systems 30.

In the description of the embodiments described below, the participating devices are multi-party computing participating devices, and the cooperating devices are multi-party computing cooperating devices.

In a first aspect, an embodiment of the present invention provides a method for evaluating a multi-party computation contribution.

Fig. 2 is a flowchart illustrating a multiparty calculation contribution evaluation method according to an embodiment of the present invention. As shown in fig. 2, the method in an embodiment of the present invention includes the following steps.

S210, responding to the contribution calculation request received by the data interface of the multi-party calculation service agent of the evaluation system server, and acquiring the task identification of the multi-party calculation task, the identification information of the requesting party and the identification information of the requested party from the contribution calculation request.

S220, if the identity identification information of the requesting party and the identity identification information of the requested party are checked from the stored identity identification information of each participant of the multi-party computing task and are the identity identification information of any participant of the multi-party computing task, the identity identification is determined to be passed; each participant comprises at least one cooperating device and at least two participating devices.

And S230, reading related data of the multi-party computing task from the block chain service system through the data interface of the block chain service agent if the task identifier is determined to be stored through checking and the contribution degree computing model obtained by the negotiation between the cooperative device and the participating device in advance is determined to be stored.

And S240, processing the relevant data of the multi-party computing task according to the contribution degree computing model to obtain contribution degree evaluation information of the device corresponding to the requested party to the multi-party computing task, and feeding back the contribution degree evaluation information to the device corresponding to the requesting party.

According to the method for evaluating the multi-party calculation contribution degree, an evaluation system service framework and a block chain service system are introduced, and meanwhile, the related requirement for improving the trust is provided for the related devices of the multi-party calculation task, so that all parties of the multi-party calculation task can be guaranteed to obtain a reliable multi-party calculation contribution degree evaluation mechanism. The method is beneficial to the application and popularization of multi-party computing technology, and is beneficial to trusted and safe reuse of own data and creation of value for data parties.

In some embodiments, the cooperating device and the participating device are both registered devices, and before responding to a contribution degree calculation request received through a multi-party calculation service proxy data interface of the evaluation system server, the multi-party calculation contribution degree evaluation method further comprises: the following steps are carried out.

And S11, receiving a first device registration request of the cooperative device and a second device registration request of the participating device through a multi-party computing service agent data interface.

And S12, performing registration check on the cooperative device and the participating devices according to a preset device registration strategy.

And S13, in the case that the registration check result is that the cooperative device and the participating device are allowed to be registered, using the private key of the evaluation system server to sign the certificate of the cooperative device and sign the certificate of the participating device.

And S14, storing the relevant information of the device registration processing process of the cooperative device and the participating device to the block chain service system through the block chain service agent data interface.

S15, feeding back first device registration response information to the cooperative device through the multi-party computing service agent data interface, wherein the first device registration response information comprises a registration check result of the cooperative device, a certificate of the cooperative device with an evaluation system server signature, a certificate of the evaluation system server and a public key of the evaluation system server.

And S16, feeding back second device registration response information to the participating device through the multi-party computing service proxy data interface, wherein the second device registration response information comprises a registration check result of the participating device, a certificate of the participating device with an evaluation system server signature, a certificate of the evaluation system server and a public key of the evaluation system server.

In this embodiment, the multi-party computing collaboration device and the multi-party computing participant device need to be registered in the contribution evaluation service framework before organizing or participating in the multi-party computing task. During registration, the device's own identity, public key and certificate need to be provided, and private keys corresponding to the public keys of the multi-party computing cooperation device and the multi-party computing participating device need to be stored in the device. The contribution degree evaluation service framework signs the certificates of the multi-party computing cooperation device and the multi-party computing participation device by using the private key of the self server, stores the signature information into the corresponding certificate and feeds the signature information back to the multi-party computing cooperation device and the multi-party computing participation device. The contribution degree evaluation service framework stores the registration information of the multi-party computing cooperative device and the multi-party computing participation device, and the related information can also be stored in the block chain service system.

Fig. 3 illustrates an identity registration flow diagram of a multi-party computing cooperative device and a multi-party computing participant device in an exemplary embodiment of the present invention. As shown in fig. 3, the identity registration procedure may include the following steps.

As indicated by "request registration device" in S301 in fig. 3, the multi-party calculation cooperation device and the multi-party calculation participation device register the own devices with the contribution degree evaluation service framework, respectively.

In this step, the number of the multi-party computing cooperation devices may be one or more, and the number of the multi-party computing participation devices may also be one or more, and usually may be more.

As shown in S302 in fig. 3 as "processing the request", the multi-party computing service agent module of the contribution degree evaluation service framework receives the relevant request, and requests the service policy module of the contribution degree evaluation service framework to perform permission detection and the like. The rights may be, for example, rights to participate in a multi-party computing task.

As indicated by "check policy" in S303 in fig. 3, the service policy module of the contribution evaluation service framework detects the relevant request information. If the certificate passes the check, the service policy module signs the certificates of the multi-party computing cooperative device and the multi-party computing participant devices using a private key of the contribution evaluation service framework.

If the check is passed, the service policy module of the contribution evaluation service framework stores the relevant data to the blockchain service system through the blockchain service agent module, as shown in S304 of fig. 3 as "store multi-party computing system registration information".

In some embodiments, as in fig. 3, in the process of checking the multi-party computing cooperative device and the multi-party computing participating device, the contribution evaluation service framework may obtain parameter data information required for the check from the blockchain service platform.

As shown in S305 of fig. 3, which is "processing request" and S306, which is "feeding back registration request", the service policy module of the contribution degree evaluation service framework feeds back the registration check information to the multi-party computing cooperation device and the multi-party computing participant device through the multi-party computing service agent module.

In this step, if the registration is successful, the multi-party computing participating device and the multi-party computing cooperating device may obtain the certificate of the device signed by the contribution degree evaluation service framework, and may also obtain information such as the certificate of the contribution degree evaluation service framework and the public key of the contribution degree evaluation service framework. If the registration fails, the multi-party computing participant devices and the multi-party computing cooperation devices may obtain registration failure information, including the reason for the failure.

In the embodiment of the invention, the identity registration can ensure that the multi-party computing participation device and the multi-party computing cooperation device participate in the processing of the multi-party computing task with credible identity information, thereby being beneficial to the credible safety of data parties.

In some embodiments, the multi-party computing task is a successful negotiated and registered task; before the step S110, the method for evaluating the multi-party calculation contribution degree further includes the following steps.

S21, responding to a multiparty computing service agent data interface of an evaluation system server, receiving a task registration request from a cooperative device, wherein the task registration request is used for registering a multiparty computing task negotiated in advance by the cooperative device and a participating device, and task information of the multiparty computing task comprises at least one of the following information items: model selection for multi-party computation, number of times of multi-party computation, and data set information for multi-party computation.

S22, under the condition that the multi-party computing task is allowed to be registered according to the preset task registration strategy, the task identification of the multi-party computing task is generated.

And S23, storing the task identifier and the task information in the evaluation system server, and/or storing the task identifier and the task information to the block chain service system through a block chain service proxy data interface of the evaluation system server.

And S24, feeding back a processing result of the task registration request to the cooperative device through a multi-party computing service agent data interface of the evaluation system server so as to inform the participating device of preparing to participate in the multi-party computing task and receive the related information fed back by the participating device and used for indicating acceptance and preparing to participate in the multi-party computing task.

In embodiments of the present invention, multi-party computing tasks may be registered by multi-party computing collaboration devices. Before the multiparty computing task is registered, the multiparty computing cooperation device and one or more multiparty computing participant devices negotiate the multiparty computing task, which specifically comprises model selection of multiparty computing, times of multiparty computing, data set information of multiparty computing and the like.

In some embodiments, after the negotiation of the multi-party computing task is completed, whether the negotiation is successful or not, the multi-party computing cooperative device and the multi-party computing participating device may store the relevant operation information in the blockchain service system through the contribution degree evaluation service framework. Specifically, the related operation information may be stored in the blockchain service system through the contribution service evaluation framework, or may be directly stored in the blockchain service system.

After the multi-party computing task negotiation is successful, the multi-party computing cooperation device registers or registers the negotiated multi-party computing task information to the contribution degree evaluation service framework, and obtains the unique identification of the multi-party computing task from the contribution degree evaluation framework; after the multi-party computing task negotiation and registration are successful, the multi-party computing cooperation device distributes multi-party computing task information to the multi-party computing participation device, wherein the multi-party computing task information comprises identification of the multi-party computing task and the like; and after the multi-party computing task is successfully registered, the multi-party computing task is executed between the multi-party computing cooperative device and one or more multi-party computing participation devices.

FIG. 4 illustrates a flow diagram for registration of a multi-party computing task in accordance with an exemplary embodiment of the present invention. In this embodiment, the registration process for multi-party computing tasks may include the following steps.

As shown at S401 in FIG. 4, the multi-party computing collaboration device negotiates multi-party computing tasks with the multi-party computing participant device (S).

As shown in S402 in fig. 4, if the coordination is successful, the multi-party computing cooperation apparatus sends the description information of the negotiated multi-party computing task to the contribution degree evaluation service framework to register (register) the multi-party computing task information.

As S403 in fig. 4, the service policy module of the contribution evaluation service framework checks the service policy that is expected to be defined, for example, whether the multi-party computing cooperative device and the multi-party computing participant device are registered, whether the multi-party computing task description information is complete, and the like.

As shown in S405-S407 of fig. 4, the contribution degree evaluation service framework stores the processing result, and the related processing result may be stored in the blockchain service system. Meanwhile, the registration processing result is fed back to the multi-party computing cooperation device.

As shown in S408 in fig. 4, the multi-party computing cooperation apparatus transmits the feedback information to each of the relevant multi-party computing participating apparatuses.

As shown in S409-S411 in fig. 4, each relevant multi-party computing participating device sends information on whether to accept and prepare to participate in the multi-party computing task to the multi-party computing cooperation device, and may send the information to the contribution degree evaluation service framework to store the relevant information.

Through the steps S401-S411, the multi-party computing task can be ensured to be a registered and registered computing task, and the credible safety of the tasks processed by the multi-party computing task can be ensured.

In the embodiment of the invention, in order to protect data privacy, each participant of the multi-party computing task encrypts data by using a public key of a contribution evaluation service framework or a pre-agreed encryption algorithm/key when storing the data. So that only the owner of the private key or the owner of a previously agreed decryption algorithm/key of the contribution evaluation service framework can decrypt the usage related data. Meanwhile, the contribution degree evaluation service framework stores the information of each participant of the multi-party calculation task, so that when the contribution degree of the multi-party calculation is calculated, only the participants of the multi-party calculation can inquire and calculate the contribution degree of the multi-party calculation through identity recognition.

In the embodiment of the invention, when the multi-party computing task is registered, if the task is registered successfully, the contribution degree evaluation service framework gives a unique identifier to the multi-party computing task, and stores the related identifier and the multi-party computing task information in the self or block chain platform. Meanwhile, the multi-party computing task participating party and the contribution degree evaluation service framework negotiate the encryption method and parameters of the subsequent data. The related encryption method can directly use the public key of the contribution degree evaluation service framework to encrypt data, and can also use other preset encryption/decryption methods and random encryption/decryption keys. If the key is the same as the key, the contribution evaluation service framework and each participant of the multi-party computing task are required to store the information related to the key.

In the embodiment of the invention, the multi-party computing cooperation device and the multi-party computing participation device in the multi-party computing service system can store the data information into the block chain service system through the contribution degree evaluation service framework. The data storage process of the multi-party computing service system is described below by way of specific embodiments.

FIG. 5 is a flow chart illustrating data storage by the multi-party computing service system according to an embodiment of the invention. In fig. 5, the data storage flow of the multi-party computing service system may include the following steps.

In some embodiments, the multi-party computing participant device may store the data to the blockchain service system through step S501, or through steps S502, S503 and step S50B.

As shown at S501 in fig. 5, the multi-party computing participant device may store data directly to the blockchain service system.

As shown at S502 in fig. 5, the multi-party computing participant device may send a first data storage request to a multi-party computing service proxy module of the contribution evaluation service framework.

As shown in S503 in fig. 5, the multi-party computing service agent module processes the first data storage request, sends the data from the multi-party computing participant device to the service policy module, and performs validity and permission check on the data sent from the multi-party computing participant device through the service policy module.

In this step, the service policy module sends the data passing the validity and authority check to the blockchain service agent module of the contribution evaluation service framework.

As shown in S50B in fig. 5, the contribution evaluation service framework sends the data to be stored by the multi-party computing participant device to the blockchain service system through the blockchain service agent module.

In some embodiments, the multi-party computing cooperation apparatus may store the data to the blockchain service system through step S504, or through steps S505, S506 and step S50B.

As shown at S504 in fig. 5, the multi-party computing cooperation apparatus may directly store the data to the blockchain service system.

As shown at S505 in fig. 5, the multi-party computing collaboration device may send a second data storage request to the multi-party computing service proxy module of the contribution evaluation service framework.

As shown in S506 in fig. 5, the multi-party computing service agent module processes the second data storage request, sends the data from the multi-party computing cooperative device to the service policy module, and performs validity and permission check on the data sent from the multi-party computing cooperative device through the service policy module.

As shown in S50B in fig. 5, the contribution evaluation service framework sends the data to be stored by the multi-party computing cooperative device to the blockchain service system through the blockchain service agent module.

In the embodiment of the invention, when the multi-party computing participation device and the multi-party computing cooperation device store data, identification information of own equipment is required to be attached respectively; if the information related to the multi-party computing task is stored, the identification (task identification) of the multi-party computing task is also attached. If the related data is stored in the block chain service system through the contribution degree evaluation service framework, the contribution degree evaluation service framework can attach the identification related information of the contribution degree evaluation service framework to the data finally stored in the block chain service system, so that the related data can be conveniently searched, extracted and processed further, and the data acquisition efficiency is improved.

In some embodiments, the relevant data of the multi-party computing task is the relevant data stored into the blockchain service system by the evaluation system server after the cooperating and participating devices perform the multi-party computing task; in the case where the multi-party computing task is a one-time computing task, before step S110, the multi-party computing contribution degree evaluating method further includes the following steps.

S31, receiving task starting state information of the multi-party computing task sent by the cooperation device through the multi-party computing service agent data interface.

Wherein the task start state information is information sent to the evaluation system server when the cooperating device sends a task execution notification message to each participating device to cause the participating devices to begin executing the multi-party computing task; wherein the task execution notification message includes at least one of: the task identification, the calculation code and the calculation parameter of the multi-party calculation task, the identification information or the description information of other participating devices except the participating device, and the encryption information of data returned by the participating device to the cooperative device after the calculation is finished.

And S32, storing the task starting state information of the multi-party computing task to the block chain service system through the block chain service agent data interface.

And S33, storing the first task execution information of the participating device received through the multi-party computing service agent data interface into the block chain service system through the block chain service agent data interface.

Wherein, the first task execution information is executed for the multi-party computing task after the participating device receives the task execution notification message: information for recording related information of at least one operation of task check and authentication, task execution and task execution result feedback;

and S34, storing the second task execution information of the cooperative device received by the multi-party computing service agent data interface to the block chain service system through the block chain service agent data interface.

The second task execution information is the execution result of the multi-party computing task recorded by the cooperation device and is sent to the block chain service agent data interface after the multi-party computing is finished.

Through the above steps S31-S34, after the negotiation and registration of the multi-party computing task are successful, the multi-party computing cooperation device notifies each relevant multi-party computing participating device to execute the multi-party computing task.

In the task execution process of the embodiment of the invention, the task starting state information and the second task execution information are information which is sent to the data interface of the multiparty computing service agent after being processed by the first security guarantee, and the first task execution information is information which is sent to the data interface of the multiparty computing service agent after being processed by the second security guarantee.

The first security assurance process includes: at least one of the first signature processing and the encryption processing after the first signature processing; the information to be sent in the task starting state information and the second task execution information is sent; the first signature process includes: the cooperation device generates first summary information for at least part of the information to be sent, and uses a private key of the cooperation device to sign the first summary information; the encryption processing after the first signature processing comprises the following steps: the cooperation device encrypts the information to be sent after the first signature processing by using a preset encryption mode; the second security assurance process includes: performing at least one of encryption processing after the second signature processing and the second signature processing; wherein the second signature processing comprises: the participating device generates second summary information for at least part of the sent first task execution information, and signs the second summary information by using a private key of the participating device; the encryption processing after the second signature processing comprises: the cooperation device encrypts the first task execution information after the second signature processing by using a preset encryption mode;

the S32 may specifically include: and if the task starting state information is encrypted, decrypting the encrypted task starting state information by using a preset decryption mode, verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted task starting state information carries the signature of the cooperation device, and if the signature passes the verification, storing the task starting state information to the block chain service system through a block chain service agent data interface.

The step S33 may specifically include: and if the first task execution information is the encrypted first task execution information, decrypting the encrypted first task execution information by using a preset decryption mode, verifying the signature of the participating device by using public key information of the participating device under the condition that the signature of the participating device is carried by the decrypted first task execution information, and if the signature passes the verification, storing the first task execution information to the blockchain service system through a blockchain service proxy data interface.

The step S34 may specifically include: and if the second task execution information is encrypted second task execution information, decrypting the encrypted second task execution information by using a preset decryption mode, verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted second task execution information carries the signature of the cooperation device, and if the signature passes the verification, storing the second task execution information to the block chain service system through a block chain service proxy data interface.

In the above embodiment, the data and result data in the relevant process obtained by processing the multi-party computing task may be recorded to the blockchain service system through the contribution degree evaluation service framework. Before writing into the blockchain service system, the stored data may be encrypted using a public key of the contribution evaluation service framework, or the data may be encrypted using a pre-agreed encryption algorithm and key. The multi-party computing participation device counts the computation amount of the multi-party computing task and the data amount of the accessed self data and other information, and uploads the information to the block chain service system through the contribution degree evaluation service framework.

FIG. 6 illustrates a one-time computing execution flow of a multi-party computing task in an exemplary embodiment of the invention. As shown in FIG. 6, the execution flow of the multi-party computing task includes the following steps.

As shown in S601 in fig. 6, the multi-party computing cooperative device notifies the multi-party computing participating devices to start the one-time computing multi-party computing task.

In this step, the multi-party computing cooperation device notifies each multi-party computing participating device to perform the negotiated and registered one-time multi-party computing task. The notification content includes identification of the multi-party computing task, computing code and parameters, etc.

In some embodiments, the notification content may further include: a returned data encryption mode and a returned data password are used for returning data after the computation of the multi-party computation participation device is finished; the notification content may also include, for example, information about other multi-party computing participant devices other than the currently notified participant device, such as the identities and device descriptions of the other participant devices.

In some embodiments, the multi-party computing cooperation device may encrypt the notification content using the public key of the multi-party computing participation device or other pre-negotiated encryption and decryption mechanism when sending the notification content, and decrypt the notification content using its own private key (or pre-negotiated encryption and decryption mechanism) to obtain the notification content after the multi-party computing participation device receives the information. Other mechanisms may also be employed between the multi-party computing cooperation device and the multi-party computing participant device to protect the security and privacy of communications.

As shown in S602-S604 in FIG. 6, the multi-party computing cooperation apparatus stores the state information of the multi-party computing task execution starting execution to the blockchain service system through the contribution degree service evaluation framework.

In the above steps, when the multi-party computing cooperation device stores information, the multi-party computing cooperation device may sign the stored information using its own private key. The specific signature method may include: and generating a summary of the key information or all the information of the stored information, and then encrypting the generated summary by using the private key of the multi-party computing cooperation device. The signature information is stored to the block chain service system together with the stored information through a contribution degree evaluation service framework.

The multi-party computing cooperation device can also use the public key of the contribution degree evaluation service framework to encrypt the storage information of the multi-party computing cooperation device and the signature information of the storage information. Therefore, the related information can be checked only by possessing the private key of the contribution degree evaluation service framework, and the data security and the privacy of the multi-party computing cooperative device are guaranteed. The encryption process can be processed by the multi-party computing cooperation device or a contribution degree evaluation service framework. The multi-party computing cooperation apparatus may also encrypt the related data using other encryption algorithms and keys agreed in advance.

As shown in S605 in fig. 6, the relevant multiparty computing participant device receives and parses the multiparty computing task from the multiparty computing cooperation device, and then performs the multiparty computing task.

In this step, the involved multi-party computing participant devices are multi-party computing participant devices that receive the negotiated and registered one-time multi-party computing task.

In the embodiment of the invention, the multi-party calculation task is a task needing to be negotiated in advance; if the multi-party computing task information is encrypted, the multi-party computing participating device decrypts the multi-party computing task information according to an agreed rule and executes task processing according to the decrypted multi-party computing task information; the associated multi-party computing participant devices may inspect and authenticate the multi-party computing task prior to performing the multi-party computing task; and if the authentication is passed, executing the multi-party computing task. During the checking, authentication and execution process, the related multi-party computing participant devices record the related information for uploading storage and participation contribution evaluation. For uploading and storing, reference may be made to the flow chart of data storage described above with reference to fig. 5, which is not described again in the embodiments of the present invention.

As shown in S506 in FIG. 6, the relevant multi-party computing participant devices feed back the processing results of the one-time task to the multi-party collaborating device.

In the step, if the multi-party calculation result is accepted and executed, the multi-party calculation result is fed back; and if the information is not accepted or the execution fails, feeding back related indication information.

As shown in S507-S509 in fig. 6, the related multi-party computing participating devices upload the recorded task information to the block chain service system through the contribution degree evaluation service framework.

Specifically, the related multi-party computing participating devices can upload the related information of the task, such as checking, authentication, execution and feedback, to the blockchain service system through the contribution degree evaluation service framework.

In some embodiments, the interested multi-party computing participant devices may generate digests of key or all of the data information that needs to be uploaded and stored to the blockchain service system, and then encrypt the generated digests using the multi-party computing participant devices' own private keys. The signature information is stored to the blockchain service system together with the storage information through a contribution degree evaluation service framework.

In this embodiment, the uploaded related information may also be encrypted using the contribution evaluation service framework public key or other algorithm or key agreed in advance. Therefore, the relevant information can be checked only by possessing the private key of the contribution degree evaluation service framework, thereby ensuring the data security and privacy of the multi-party computing participant device. The encryption process can be processed by the multi-party computing and participating device, and can also be processed by the contribution degree evaluation service framework. The multi-party computing participant devices may also encrypt the relevant data using other encryption algorithms and keys agreed upon in advance. The specific processing procedure is similar to the data storage procedure of the multi-party computing cooperation apparatus in the above steps S602-S604, and the details are not repeated in the embodiment of the present invention.

As shown in S610-S612 in fig. 6, after the multi-party computation is finished, the multi-party computation coordination apparatus writes the multi-party computation execution condition into the blockchain service system through the contribution degree evaluation service framework.

Specifically, the data storage process of the multi-party computing cooperation apparatus is similar to the data storage process of the multi-party computing cooperation apparatus in the above steps S602-S604, and the details of the embodiment of the present invention are not repeated.

In the one-time computation multiparty computation task execution process, by negotiating and registering multiparty computation tasks in advance, relevant processing processes and result data are recorded to a block chain service system through a contribution degree evaluation service framework and an encryption mechanism in a data interaction process, so that data privacy in the one-time computation multiparty computation task execution process is protected, and the credibility and reliability of the multiparty computation task execution process are improved.

In some embodiments, the multi-party computing task may also be a multi-party computing task that requires multiple repetitive computations, i.e., requires the multi-party computing participant devices to perform repetitive computations and cooperate with other multi-party computing participant devices during the computation (exchange of intermediate computing parameters, etc.). The multi-party computing participant devices may communicate and cooperate with each other through the multi-party computing collaboration device. Federated computations are a type of multi-party computing task that compares typically multiple repetitive computations.

In the process of multiple repeated multi-party computing tasks, the multi-party computing participation device performs computation for multiple times, and in the computation process, parameters such as intermediate computation results and the like are exchanged with other multi-party computing participation devices through the multi-party computing cooperation device. Meanwhile, the multi-party computing cooperation device can also actively send a task evaluation notification to the multi-party computing participation device for successfully executing the multi-party computing task so as to check and judge the execution effect.

In some embodiments, where the multi-party computing task is a multiple-repetition computing task, each participating device is configured to continuously perform the multi-party computing task and to exchange intermediate process parameters with other participating devices via the collaborating device, the intermediate process parameters including at least intermediate computing results.

In this embodiment, each participating device, when configured to continuously perform a multi-party computing task, is specifically configured to: receiving an evaluation notification message sent by the cooperative device, wherein the evaluation notification message is used for notifying the participating devices to execute an evaluation task so as to evaluate the state of an intermediate calculation result of the participating devices executing the multi-party calculation task; under the condition that the intermediate calculation result meets the execution condition of the preset calculation process, the multi-party calculation task is continuously executed, and a corresponding evaluation result is fed back to the cooperation device; in the case that a predetermined computation termination condition is satisfied, an execution end notification message and an execution final result of the multi-party computation task are sent to the cooperation apparatus.

Wherein the first task execution information further includes: the participating device records at least one of an intermediate calculation result, a state of executing the intermediate calculation result, an evaluation result, an execution end notification message and an execution final result when continuously executing the multi-party calculation task; the second task execution information further includes: and recording at least one of the intermediate process parameters, the evaluation notification message, the evaluation result, the execution end notification message and the execution final result by the cooperation device.

In this embodiment, in comparison with the execution process of the multi-party computing task of one-time computing, the multi-party computing task of multiple repetitive computing needs to cooperate with other computing participating devices and perform task evaluation during the task computing process to check and judge the execution result during the task computing process. And uploading data generated in the cooperation and task evaluation to a block chain service system through a contribution evaluation system service framework, so that the data privacy of the repeated calculation in the multi-party calculation task execution process is protected, and the credibility and reliability of the multi-party calculation task execution process are improved.

FIG. 7 illustrates an execution flow of a repetitive computation of a multi-party computing task in an exemplary embodiment of the invention. As shown in FIG. 7, the execution flow of the multi-party computing task includes the following steps.

As shown in S701 in fig. 7, the multi-party computing cooperation apparatus notifies each of the relevant multi-party computing participating apparatuses to perform the multi-party computing task.

The processing procedure of step S701 is similar to the processing procedure of step S601 in fig. 6 described above, and reference may be specifically made to the processing flow of S601.

As shown in S702 "Start executing" in FIG. 7, each multi-party computing participant device initiates execution of the multi-party computing task.

In this step, each of the multi-party computing participating devices may check and determine whether to receive the multi-party computing task of the repetitive computing and inform the multi-party computing cooperation device whether to accept and execute the multi-party computing task.

As shown in S703 "execute and update parameters" in fig. 7, if the multi-party computing participant device accepts the task, the multi-party computing task is continuously executed, and in the process of executing, the execution intermediate process parameters are continuously updated to the multi-party computing cooperation device.

As shown in "notify evaluation" in S704 in fig. 7, the multi-party computing cooperation apparatus sends an evaluation notification message to each multi-party computing participating apparatus for notifying each multi-party computing participating apparatus to execute an evaluation task, i.e. a task of evaluating the multi-party computing task.

In this step, the evaluation notification message at least includes task identifiers of the multi-party computing tasks to be evaluated.

As shown in S705 "feedback evaluation" in fig. 7, each of the multi-party computing participating devices receives the task evaluation, processes the evaluation task sent by the multi-party computing cooperating device to evaluate the intermediate result state executed by the multi-party computing participating device, and feeds back the evaluation result of the evaluation task to the multi-party computing cooperating device, so that the multi-party computing participating device can execute its own computing process.

In this step, the evaluation of the intermediate result state may include, for example: whether the current results meet target computational solution, whether computational performance meets computational performance requirements, and the like.

As shown in S706 "end execution" in fig. 7, after the multi-party computing cooperation device processes the multi-party computing task, the multi-party computing participation device notifies the multi-party computing cooperation device that the execution of the multi-party computing task is ended, and feeds back information such as a final result obtained by executing the multi-party computing task.

In some embodiments, the termination of the multi-repetitive multi-party computing task may be based on a predetermined computing termination condition, or may be determined by the multi-party computing cooperation apparatus whether and when to terminate. In multiple repetitive multiparty computing tasks, each multiparty computing participant performs computation independently and is based on own data and information such as parameters transmitted by the multiparty computing collaboration device, and data may not be directly transmitted between each multiparty computing participant.

As shown in S70A "review and record task information" and S70B "storage information" in fig. 7, the multiparty computing cooperation apparatus stores execution information of the multiparty computing task through the contribution degree evaluation service framework.

The specific processing procedure may refer to S603 and S604, and steps S611 and S612 in fig. 6.

As shown in S70C "review and record task information" and S70D "storage information" in fig. 7, the multiparty computation participation device stores execution information of the multiparty computation task through the contribution degree evaluation service framework. The specific processing procedure may refer to S608 and S609 in fig. 6.

Through the clients S70A, S70B, S70C and S70D in fig. 7, during the process of multiple repetitive multiparty computing tasks, the multiparty computing cooperation apparatus and the multiparty computing participant apparatus can continuously write information available for contribution evaluation to the blockchain service system through the contribution evaluation service framework as needed. The associated write processes and processing mechanisms are similar to those described above for the one-time computing task in the embodiment described in connection with FIG. 6. The difference between the two methods is that in the multi-time repetitive multi-party computing task, when the multi-party computing cooperation device and the multi-party computing participation device write information, the multi-party computing task identifier needs to be explicitly added so as to facilitate the subsequent contribution degree evaluation and computation.

That is, during the execution of the repetitive multiparty computing task, the multiparty computing cooperation device and the multiparty computing participant device continuously store their own status information through the contribution degree evaluation service framework, so as to facilitate subsequent contribution degree evaluation.

In some embodiments, the contribution evaluation information includes the participation degree and the value contribution degree; the data relevant to the multi-party computing task includes: specific indexes of participation degree and specific indexes of value contribution degree; specific indicators of value contribution include: the amount of single calculation to complete the calculation, the number of calculations, and the number of parameters to update and receive.

In this embodiment, the step of processing the data related to the multi-party computing task according to the contribution degree computing model in step S140 to obtain the contribution degree evaluation information of the device corresponding to the requested party for the multi-party computing task may specifically include the following steps.

S41, calculating the sum of the specific index values of the participation degrees of the participants, and calculating the ratio of the specific index value of the participation degree of the requested party to the specific index value of the participation degree of the participants to obtain the value of the participation degree of the requested party; wherein, the specific index of the participation degree comprises any one of participation duration, participation period and participation frequency.

S42, calculating the sum of the effective contribution degrees of all the participating parties according to the specific indexes of the value contribution degrees of all the participating parties, and calculating the ratio of the effective contribution degrees of the requested party to the sum of the effective contribution degrees of all the participating parties to obtain the value of the value contribution degrees of the requested party; and after the product of the single calculation amount and the calculation times of the corresponding calculation is calculated, the product is added with the number of the updated and received parameters to obtain the effective contribution degree of each participant.

In the embodiment of the invention, the contribution degree calculation model refers to the contribution degree of each party participating in the multi-party calculation task in calculation of the contribution degree of each party in the multi-party calculation task. The contribution calculation model is typically stored in the form of executable code, for example, in the form of a smart contract. The contribution degree calculation model can be stored in the contribution degree evaluation service framework and can also be stored in the block chain service system.

In this embodiment, the contribution degree may be calculated by an effective contribution degree ratio. Illustratively, the processing of relevant data for processing multi-party computing tasks using the pre-negotiated contribution level computing model may be represented by the following expression:

effective contribution = amount of calculation data + number of calculations + number of updated and accepted parameters; total effective contribution = the sum of the effective contributions of all relevant parties; contribution = effective contribution/total effective contribution; wherein all interested parties comprise at least one of all multi-party computing participating devices and multi-party computing cooperating devices performing data computation in the multi-party computing task.

In the embodiment of the present invention, the contribution degree calculation method may be various. For example, in a multi-party calculation task of one-time calculation, the effective contribution degree can be directly calculated data amount or calculation times; in the multi-party calculation task of repetitive calculation, the effective contribution degree can be equal to the sum of the calculation data amount and the number of updated and accepted parameters, or the effective contribution degree can be equal to the sum of the calculation times and the number of updated and accepted parameters.

In some embodiments, the calculation of the effective contribution degree involves: the total calculated amount (the calculated data amount of all related parties), the actual calculated amount (the actual calculated data amount of each related party), the effective calculated amount (for example, the calculated amount for multi-party task processing according to the effective data set), the data validity of the data set, and the like.

In some embodiments, the data related to the multi-party computing task is valid data; in this embodiment, before step S140, the multiparty calculation contribution evaluation method further includes the following steps.

S51, reading data sets and log information of multi-party computing tasks from a block chain service system; s52, acquiring index information of actual calculation data when the requested party participates in the multi-party calculation task from the log information; the index information of the calculation data comprises method information and parameter information for obtaining the calculation data and summary information of the calculation data; the abstract information of the calculation data is used for uniquely determining the content of the calculation data; calculating the summary information in the index information of the data as encrypted information which is not allowed to be modified; s53, calculating a correlation value of the index information of the actual calculation data and the index information of the data set of the multi-party calculation task, and determining the correlation data of the multi-party calculation task as effective data under the condition that the correlation value is greater than a preset correlation threshold value.

In the embodiment of the invention, in the block chain service system, the specific calculation data does not need to be stored, and the index information of the data used for calculation can be stored. Through the index information, the cooperative device can plan multi-party calculation, and the participant device can find real calculation data. Specifically, the collaborating device and the participating device can find the corresponding calculation data through the index information, and can determine whether the calculation data is the real corresponding calculation data by comparing the abstracts, so as to determine the relevance of the actual calculation data and the data set of the multi-party calculation task.

In this embodiment, in the data validity, the data set may be pre-agreed by the multi-party computing cooperative device and the multi-party computing participant device before the multi-party computing task is executed by comparing the correlation of the actual computing data with the data set of the multi-party computing task.

FIG. 8 is a flow diagram illustrating a multi-party computation task contribution evaluation, according to an embodiment of the invention. In fig. 8, the process flow of multi-party calculation task contribution evaluation includes the following steps.

As shown in the "negotiated contribution calculation model" in S801 and S802 in fig. 8, the multi-party computing cooperation apparatus and the multi-party computing participating apparatus may first perform negotiation of a contribution calculation method.

As shown in the "storage contribution degree calculation unit" in S8021 and S8022 in fig. 8, the contribution degree evaluation system service framework receives, through the multi-party computing service agent module, a contribution degree calculation model negotiated and determined by the multi-party computing cooperation device and the multi-party computing participation device, and stores the contribution degree calculation model to the blockchain service system through the blockchain service agent module of the contribution degree evaluation system service framework.

As shown in "request to calculate contribution degree" of S803 in fig. 8, any one of the parties of the multi-party computing service system participating in the multi-party computing task sends a contribution degree calculation request to the multi-party computing service agent module of the contribution degree evaluation system service framework.

That is, any party of the multi-party computing service system participating in the multi-party computing task may apply for and query the contribution degree of each party (at least one of the multi-party computing participating device and the multi-party computing cooperation device) in the multi-party computing task, or may apply for and query the contribution degree of a party in agreement (at least one of the multi-party computing participating device and the multi-party computing cooperation device that can be queried in advance).

As shown in fig. 8 by C1 "process request", C2 "check request", and C3 "check contribution calculation model and data set", before calculating the contribution, the checking process is performed by the contribution evaluation system service framework.

For example, the multi-party computing service agent module sends the contribution degree computing request to the contribution degree computing unit, the contribution degree computing unit checks the relevant identity information (performs identity authentication) of the multi-party computing participating device and the multi-party computing cooperating device of the multi-party computing task, and after the identity authentication is passed, the contribution degree computing request which passes the identity authentication is sent to the data processing unit.

At least one of the data processing unit and the service policy module may perform at least one of the following check items: checking task information of the multi-party computing (to determine that related task information of the multi-party computing task requesting the computation of the contribution degree is stored), checking related log information (to determine that an operation log of the task requesting the computation of the contribution degree is stored), determining that a contribution degree computation model obtained by negotiation performed in advance by the cooperation device and the participating device has been stored through the checking, and determining that a correlation value of actual computation data of the multi-party computing task requesting the computation of the sharing degree and a data set of the multi-party computing task is greater than a predetermined correlation threshold value through the checking.

As indicated by "calculate contribution degree" at C4 in fig. 8, the contribution degree calculating unit may calculate the contribution degree of the requested multi-party calculation task through a pre-negotiated contribution degree calculation model.

As shown in B1 "read information" in fig. 8, the relevant data for calculating the contribution degree may be read from the blockchain service system after the relevant checks of C1-C3 pass or during the process of calculating the contribution degree.

As shown in C5 "feedback contribution degree information" in fig. 8, the contribution degree calculating unit sends the calculation result of the contribution degree of the multi-party calculation task to the multi-party calculation service agent module of the contribution degree evaluation system service framework.

As indicated by 804 "feedback contribution information" in fig. 8, the contribution evaluation system service framework may send the calculation result of the contribution of the multi-party calculation task to the participant (e.g., at least one of the multi-party calculation cooperative device and the multi-party calculation participant device) requesting to calculate the contribution through the multi-party calculation service agent module.

In the embodiment of the invention, all parties related to the multi-party computing service system can select a contribution degree computing method which is determined in advance and stored in the block chain service system; and the data of the contribution degree calculation is from the related data stored in the block chain service system. The block chain service system ensures the safety and consistency of data stored by each participant of a multi-party computing task, and ensures the privacy protection of related data through a contribution degree evaluation service framework. Meanwhile, the credibility of the contribution degree of the multi-party computing task is checked through the correlation of the data sets.

As can be seen from the contribution degree calculating method described in conjunction with fig. 8, when calculating the contribution degree, the contribution degree evaluation service framework needs to check the multi-party computing participating devices of the multi-party computing task, the related identity information of the multi-party computing cooperating device, the task information of the multi-party computing, and the related log information to calculate, and the related log information may be stored in the blockchain service system, and encrypted and stored in the contribution degree evaluation system service framework by using the encryption method described in the foregoing embodiment of the present invention. When calculating the contribution degree, the related decryption using method is referred to the decryption processing procedure of the previous embodiment, and is not described herein again.

In some embodiments, the multi-party computing task includes task executable code; and the cooperation device and the participation device are used for acquiring a preset data set through the index information of the shared data set and processing the data set according to the same task executable code so as to process the multi-party computing task.

In this embodiment, the multi-party computing task may be based on the data set agreed by each participant (the collaboration device and the participant device), and each participant need not share the data set itself, but only need to share the index information (identification, summary, etc.) of the data sets, thereby saving the storage space; meanwhile, each participant of the multi-party computing task can execute according to the same executable code, thereby ensuring the certainty of the multi-party computing task. In some embodiments, the collaboration device and the participant device are further configured to execute the multi-party computing task in the secure container and perform a correlation check on the index information of the data set and the actual computing data during execution of the task executable code.

In this embodiment, the execution code of the multi-party computing task may be executed in the secure containers of the multi-party computing cooperative device and the multi-party computing participating device, and the execution code may check the data set during the execution process, thereby further ensuring the trustworthiness of the computation.

In some embodiments, before step S110, the method for evaluating multi-party calculation contribution degree further includes: and storing the log information of the cooperative device and the log information of the participating devices, which are received by the multi-party computing service agent data interface, into the block chain service system through the block chain service agent data interface.

In the embodiment of the invention, the data set information of the multi-party computing task, the task executable code of the multi-party computing task and the log information of each participant can be safely stored in the block chain platform, so that the safety of data and codes can be provided, the privacy of the data can be protected, and the multi-party safe computing is more credible.

According to the method for evaluating the multi-party calculation contribution degree, the credibility and the reliability of the evaluation of the multi-party calculation contribution degree can be ensured, and the data safety and the privacy protection of each party are protected.

In a second aspect, an embodiment of the present invention provides a multi-party calculation contribution degree evaluation apparatus.

Fig. 9 is a schematic structural diagram of a multi-party calculation contribution degree evaluation device according to an embodiment of the present invention. As shown in fig. 9, the multi-party calculation contribution degree evaluation apparatus 900 includes the following modules.

And the multiparty computation service agent module 910 is configured to, in response to a contribution computation request received through a multiparty computation service agent data interface of the evaluation system server, obtain task identifiers of the multiparty computation tasks, identification information of the requesting party, and identification information of the requested party from the contribution computation request.

A service policy module 920, configured to check the identity identification information of the requesting party and the identity identification information of the requested party from the stored identity identification information of each participant of the multiparty computation task, and determine that the identity identification is passed if the identity identification information is the identity identification information of any participant of the multiparty computation task; each participant comprises at least one cooperating device and at least two participating devices.

The blockchain service agent module 930 is configured to, if it is determined through the check that the task identifier has been stored and it is determined that the contribution degree calculation model obtained through the negotiation performed by the cooperative device and the participating device in advance has been stored, read the relevant data of the multi-party calculation task from the blockchain service system through the blockchain service agent data interface.

The service policy module 920 is further configured to process relevant data of the multi-party computing task according to the contribution degree computing model, so as to obtain contribution degree evaluation information of a device corresponding to the requested party for the multi-party computing task.

The multi-party computing service agent module 910 is further configured to feed back contribution evaluation information to a device corresponding to the requesting party.

According to the multi-party calculation contribution degree evaluation device provided by the embodiment of the invention, the credibility and the reliability of the evaluation of the multi-party calculation contribution degree can be ensured, and the data security and the privacy protection of each party are simultaneously protected.

In some embodiments, the contribution evaluation information includes the participation degree and the value contribution degree; the data relevant to the multi-party computing task includes: specific indexes of participation degree and specific indexes of value contribution degree; specific indicators of the value contribution degree include: the amount of single calculation to complete the calculation, the number of calculations, and the number of parameters to update and receive.

The service policy module 920 is specifically configured to, when the service policy module 920 is configured to process relevant data of the multi-party computing task according to the contribution degree computing model to obtain contribution degree evaluation information of a device corresponding to a requested party to the multi-party computing task: calculating the sum of the specific index values of the participation degrees of all the participants, and calculating the ratio of the specific index value of the participation degree of the requested party to the specific index value of the participation degree of all the participants to obtain the value of the participation degree of the requested party; wherein, the specific index of the participation degree comprises any one of participation duration, participation period and participation frequency; calculating the sum of the effective contribution degrees of all the participating parties according to the specific indexes of the value contribution degrees of all the participating parties, and calculating the ratio of the effective contribution degrees of the requested party to the sum of the effective contribution degrees of all the participating parties to obtain the value of the value contribution degrees of the requested party; and after the product of the single calculation amount and the calculation times of the corresponding calculation is calculated, the product is added with the number of the updated and received parameters to obtain the effective contribution degree of each participant.

In some embodiments, the data relevant to the multi-party computing task is valid data; the blockchain service agent module 930 is further configured to read the data sets and log information of the multi-party computing task from the blockchain service system before processing the related data of the multi-party computing task according to the contribution degree computing model; the service policy module 920 is further configured to obtain, from the log information, index information of actual computation data when the requested party participates in the multiparty computation task; the index information of the calculation data comprises method information and parameter information for obtaining the calculation data and summary information of the calculation data; the summary information of the calculation data is used for uniquely determining the content of the calculation data; the summary information in the index information of the calculation data is encrypted and is not allowed to be modified; and calculating a correlation value of the index information of the actual calculation data and the index information of the data set of the multi-party calculation task, and determining the correlation data of the multi-party calculation task as effective data under the condition that the correlation value is greater than a preset correlation threshold value.

In some embodiments, the multi-party computing task includes task executable code; the cooperation device and the participation device are used for acquiring a preset data set through the index information of the shared data set and processing the data set according to the same task executable code so as to process a multi-party computing task; the collaboration device and the participation device are also used for executing the multi-party computing task in the safety container and performing correlation check on the index information of the data set and the actual computing data in the execution process of the task executable code.

In some embodiments, the blockchain service broker module 930 is further configured to store the log information of the cooperating devices and the log information of the participating devices received through the multi-party computing service broker data interface to the blockchain service system through the blockchain service broker data interface prior to responding to the contribution computing request received through the multi-party computing service broker data interface of the evaluation system server.

In some embodiments, the related data of the multi-party computing task is related data stored into the blockchain service system by the evaluation system server after the cooperating device and the participating device perform the multi-party computing task.

In this embodiment, the multiparty computing service agent module 910 is further configured to, in a case that the multiparty computing task is a one-time computing task, receive task start status information of the multiparty computing task sent by the collaborating device through the multiparty computing service agent data interface before responding to a contribution degree computing request received through the multiparty computing service agent data interface of the evaluation system server; wherein the task start state information is information sent to the evaluation system server when the coordinating device sends a task execution notification message to each participating device to cause the participating devices to begin executing the multi-party computing task; wherein the task execution notification message includes at least one of: task identification, calculation codes and calculation parameters of the multi-party calculation task, identification information or description information of other participating devices except the participating devices, and encryption information of data returned by the participating devices to the cooperative device after the calculation is finished; the block chain service agent module 930 is further configured to store task start state information of the multi-party computation task to the block chain service system through the block chain service agent data interface; the blockchain service agent module 930, further configured to store the first task execution information of the participating device, received through the multi-party computation service agent data interface, to the blockchain service system through the blockchain service agent data interface; wherein, the first task execution information is executed for the multi-party computing task after the participating device receives the task execution notification message: information for recording related information of at least one operation of task check and authentication, task execution and task execution result feedback; storing second task execution information of the cooperation device, which is received through the multi-party computing service proxy data interface, into the block chain service system through the block chain service proxy data interface; the second task execution information is an execution result of the multi-party computing task recorded by the cooperation device and is sent to the block chain service agent data interface after the multi-party computing is finished.

Wherein, each participating device, when being used for continuously performing the multi-party computing task, is specifically configured to: receiving an evaluation notification message sent by the cooperation device, wherein the evaluation notification message is used for notifying the participating device to execute an evaluation task so as to evaluate the state of an intermediate calculation result of the participating device executing the multi-party calculation task; under the condition that the intermediate calculation result meets the execution condition of the preset calculation process, the multi-party calculation task is continuously executed, and a corresponding evaluation result is fed back to the cooperation device; in the case where a predetermined computation termination condition is satisfied, an execution end notification message and an execution final result of the multi-party computation task are transmitted to the cooperative device.

Wherein the first task execution information further comprises: the participating device records at least one of an intermediate calculation result, a state of executing the intermediate calculation result, an evaluation result, an execution end notification message and an execution final result when continuously executing the multi-party calculation task; the second task execution information further includes: and recording at least one of the intermediate process parameters, the evaluation notification message, the evaluation result, the execution end notification message and the execution final result by the cooperation device.

In some embodiments, the task initiation state information and the second task execution information are information sent to the multi-party computing service agent data interface after being subject to a first security assurance process, and the first task execution information is information sent to the multi-party computing service agent data interface after being subject to a second security assurance process.

The first security assurance process includes: at least one of the first signature processing and the encryption processing after the first signature processing; the information to be sent in the task starting state information and the second task execution information is sent; the first signature process includes: the cooperation device generates first summary information for at least part of the information to be sent, and uses a private key of the cooperation device to sign the first summary information; the encryption processing after the first signature processing comprises the following steps: the cooperation device encrypts the information to be sent after the first signature processing by using a preset encryption mode;

the second security assurance process includes: performing at least one of encryption processing after the second signature processing and the second signature processing; wherein the second signature processing comprises: the participating device generates second summary information for at least part of the sent first task execution information, and signs the second summary information by using a private key of the participating device; the encryption processing after the second signature processing comprises: the cooperation device encrypts the first task execution information after the second signature processing by using a preset encryption mode; .

The block chain service agent module 930, when configured to store task start state information of the multi-party computation task to the block chain service system through the block chain service agent data interface, is specifically configured to: and if the task starting state information is encrypted, decrypting the encrypted task starting state information by using a preset decryption mode, verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted task starting state information carries the signature of the cooperation device, and if the signature passes the verification, storing the task starting state information to the block chain service system through a block chain service agent data interface.

The blockchain service agent module 930, when configured to store the first task execution information of the participating device received through the multi-party computation service agent data interface to the blockchain service system through the blockchain service agent data interface, is specifically configured to: if the first task execution information is encrypted first task execution information, decrypting the encrypted first task execution information by using a preset decryption mode, and under the condition that the signature of the participating device is carried by the decrypted first task execution information, verifying the signature of the participating device by using public key information of the participating device, if the signature passes the verification, storing the first task execution information to a block chain service system through a block chain service proxy data interface;

the block chain service agent module 930, when configured to store the second task execution information of the cooperative device received through the multi-party computation service agent data interface to the block chain service system through the block chain service agent data interface, is specifically configured to: and if the second task execution information is encrypted second task execution information, decrypting the encrypted second task execution information by using a preset decryption mode, verifying the signature of the cooperation device by using public key information of the cooperation device under the condition that the decrypted second task execution information carries the signature of the cooperation device, and if the signature passes the verification, storing the second task execution information to the block chain service system through a block chain service proxy data interface.

In some embodiments, the task is a successful negotiated and registered task; the multi-party computing service agent module 910 is further configured to receive a task registration request from the cooperating device in response to the multi-party computing service agent data interface of the evaluation system server, the task registration request being used for registering a multi-party computing task pre-negotiated by the cooperating device and the participating device, before responding to the contribution degree computing request received through the multi-party computing service agent data interface of the evaluation system server, and task information of the multi-party computing task includes at least one of the following information items: selecting a model for multi-party calculation, calculating times of the multi-party calculation and data set information for the multi-party calculation; the service policy module 920 is further configured to generate a task identifier of the multiparty computation task when it is determined that the multiparty computation task is allowed to be registered according to a predetermined task registration policy; the blockchain service agent module 930 is further configured to store the task identifier and the task information in the evaluation system server, and/or store the task identifier and the task information to the blockchain service system through a blockchain service agent data interface of the evaluation system server; the multi-party computing service agent module 910 is further configured to feed back a processing result of the task registration request to the cooperating device through the multi-party computing service agent data interface of the evaluation system server, so as to notify the participating device of being ready to participate in the multi-party computing task, and receive information, which is fed back by the participating device and is used for indicating to accept and be ready to participate in the multi-party computing task, related to the participating device.

In some embodiments, the cooperating device and the participating device are both registered devices, and the multi-party computing service agent module 910 is further configured to receive a first device registration request of the cooperating device and a second device registration request of the participating device via the multi-party computing service agent data interface, before responding to the contribution degree computing request received via the multi-party computing service agent data interface of the evaluation system server; a service policy module 920, further configured to perform registration check on the cooperative device and the participating devices according to a predetermined device registration policy; in the case that the registration check result is that the registration of the cooperative device and the participating device is permitted, signing the certificate of the cooperative device and signing the certificate of the participating device using a private key of the evaluation system server; the blockchain service agent module 930 is further configured to store, to the blockchain service system, information related to a process of performing device registration on the cooperative device and the participating device through the blockchain service agent data interface; the multiparty computing service agent module 910 is further configured to feed back first device registration response information to the cooperating device through the multiparty computing service agent data interface, where the first device registration response information includes a registration check result for the cooperating device, a certificate of the cooperating device with an evaluation system server signature, a certificate of the evaluation system server, and a public key of the evaluation system server; and feeding back second device registration response information to the participating device through the multi-party computing service proxy data interface, wherein the second device registration response information comprises a registration check result of the participating device, a certificate of the participating device with an evaluation system server signature, a certificate of the evaluation system server and a public key of the evaluation system server.

According to the multi-party calculation contribution degree evaluation device provided by the embodiment of the invention, an evaluation system service framework and a block chain service system are introduced, and meanwhile, the related requirements for improving the trust are provided for the related devices of the multi-party calculation task, so that all parties of the multi-party calculation task can be ensured to obtain a reliable multi-party calculation contribution degree evaluation mechanism. The method is beneficial to the application and popularization of the multi-party computing technology, and is beneficial to the credible and safe reutilization of own data and the establishment of value of data parties.

The following describes the multi-party computing cooperation apparatus and the multi-party computing participation apparatus in the embodiment of the present invention with reference to fig. 10. FIG. 10 illustrates an architectural diagram of a multi-party computing service system of an embodiment of the invention. The same or equivalent structures in fig. 10 as in fig. 1 are given the same reference numerals.

In FIG. 10, the multi-party computing collaboration device 110 and the multi-party computing participant devices 120 in the architecture may each communicate with the contribution evaluation service framework 20.

In some embodiments, the logical functional modules of the multi-party computing collaboration device 110 may include one or more of the following: the cooperative device registration unit 1101, the model management module 1102, the contribution degree management module 1103, the data management module 1104, the task cooperation module 1105, the log update module 1106, the task management module 1107, the participating device synchronization module 1108, and the log synchronization module 1109.

The collaborative device registration unit 1101 is configured to handle registration operations and related information management of the multi-party computing collaborative device. The multi-party computing cooperation device uses the device registration module to register itself with the contribution degree evaluation service framework, and can search and verify the registration information related to the registered multi-party computing participation device.

Model management module 1102 is configured to manage models of multi-party computing tasks.

The contribution management module 1103 is configured to negotiate a contribution calculation model of the multi-party calculation task and request to calculate the contribution of the multi-party calculation task.

And the data management module 1104 is used for managing target computing data set index information of the multi-party computing task. The related index information does not include the original data, but at least needs to include the identification of the data, the description and classification of the data information, and the summary information. The relevant information needs to be sufficient for the multi-party computing collaboration device to weigh the multi-party computing task and to be able to identify a certain data item. Meanwhile, in the multi-party computing execution process, the multi-party computing task execution module generates and compares the summaries by using the same algorithm to count and evaluate whether a preset data set is used. For the multi-party computing task of one-time computing, whether a preset data set is used or not does not need to be counted and evaluated when the multi-party computing task is executed.

And the task cooperation module 1105 is mainly used for cooperating with the multi-party computing participating device for computing according to the selected multi-party computing task model and the relevant parameters. For the multi-party computing task of repeated computing, the task cooperation module provides continuous service and provides the coordination and transfer of relevant intermediate result parameters and relevant information among the multi-party computing participating devices.

The log updating module 1106 is mainly configured to generate log information including data access conditions and information synchronization conditions when the multi-party computing task is executed according to the execution conditions of the task coordination module.

Task management module 1107 is mainly used to manage multi-party computing tasks and related information.

The participating device synchronization module 1108 is mainly used for cooperating with each of the multiparty computing cooperation devices, including negotiating multiparty computing tasks, synchronizing multiparty computing results or intermediate process parameters, and the like.

And the log synchronization module 1109 is mainly used for writing the process logs of the multi-party calculation into the contribution degree evaluation service framework.

In some embodiments, multi-party computing participant devices 120 may include one or more of the following: a participating device registration module 1201, a model loading module 1202, a task management module 1203, a data management module 1204, a task execution module 1205, a parameter update module 1206, a cooperative device synchronization module 1207, a contribution degree management module 1208, a log processing module 1209, a log synchronization module 1210, and the like.

And a participating device registering module 1201 for registering itself and searching for registration information of other multiparty computing participating devices and multiparty computing cooperating devices.

A model loading module 1202 for obtaining and hosting a computational model for multi-party computing. The computation model of the multi-party computation is a set of executable codes, and can be from the multi-party computation participating devices themselves or from the multi-party computation cooperating devices and the like. By executing the computation model code, the multi-party computation participant device may perform multi-party computation tasks.

And a task management module 1203, configured to negotiate, obtain a multi-party computation task, and related computation model codes.

And a data management module 1204, configured to provide the computation data to the task execution module when performing the multi-party computation task. If the data set of the multi-party computing task is appointed in advance, the data management module is responsible for checking and providing the data set.

And the task execution module 1205 is used for executing the loaded executable codes of the multi-party computing model and relying on the data set provided by the data management module. The final results or intermediate results of the computation are synchronized with the multi-party computing collaborating devices 110 through the parameter update module 1206 and the collaborating device synchronization module 1207. Meanwhile, intermediate process logs, data use logs and the like used in the processing process are sent to the contribution degree evaluation service framework through the log processing module and the log synchronization module. And the task execution module can perform checking of the calculation data set to check whether a prescheduled data set is used or not, and simultaneously, the related result generation log is sent to the contribution degree evaluation service framework.

The contribution management module 1208 is configured to negotiate a contribution evaluation model with the multi-party computing cooperation apparatus, and calculate contribution evaluation information of the multi-party computing task in cooperation with the contribution evaluation service framework.

A log processing module 1209 and a log synchronization module 1210, configured to send log information to the contribution degree evaluation service framework.

In the embodiment of the invention, a task coordination module and a contribution degree management module of a multi-party computing and participating device, a task execution module and a contribution degree management module of the multi-party computing and participating device, and a data calculation module and a contribution degree calculation unit of a contribution degree evaluation service can all operate in a safe execution environment. The secure execution environment may be a software environment such as a secure container or a secure virtual machine, or a hardware environment such as a secure chip.

It is to be understood that the invention is not limited to the particular arrangements and instrumentality described in the above embodiments and shown in the drawings. For convenience and brevity of description, detailed description of a known method is omitted here, and for the specific working processes of the system, the module and the unit described above, reference may be made to corresponding processes in the foregoing method embodiments, which are not described herein again.

Referring to fig. 11, an embodiment of the present invention provides an electronic device, which includes:

one or more processors 1101;

a memory 1102 on which one or more programs are stored which, when executed by the one or more processors, cause the one or more processors to implement the method of any one of the preceding claims;

one or more I/O interfaces 1103 coupled between the processor 1101 and the memory 1102 and configured to enable information interaction between the processor 1101 and the memory 1102.

Among other things, the processor 1101 is a device with data processing capability, including but not limited to a Central Processing Unit (CPU) or the like; memory 1102 is a device having data storage capabilities including, but not limited to, random access memory (RAM, more specifically SDRAM, DDR, etc.), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), FLASH memory (FLASH); an I/O interface (read/write interface) 1103 is coupled between the processor 1101 and the memory 1102 and can enable information interaction between the processor 1101 and the memory 1102, including but not limited to a data Bus (Bus) or the like.

In some embodiments, the processor 1101, memory 1102, and I/O interface 1103 are connected to each other and to other components of the computing device by a bus.

The present embodiment further provides a computer readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided in the present embodiment, and for avoiding repeated descriptions, specific steps of the method of the present embodiment are not described herein again.

It will be understood by those of ordinary skill in the art that all or some of the steps of the above inventive method, systems, functional modules/units in the apparatus may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

It should be noted that, in this document, 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 one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or apparatus comprising the element.

Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments, not others, combinations of features of different embodiments are meant to be within the scope of the embodiments and form different embodiments.

It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and scope of the invention, and such modifications and improvements are also considered to be within the scope of the invention.

Claims

1. A method for evaluating multi-party computation contribution, the method comprising:

responding to a contribution calculation request received through a multi-party calculation service agent data interface of an evaluation system server, and acquiring task identification of a multi-party calculation task, identification information of a requesting party and identification information of a requested party from the contribution calculation request;

if the task identifier is determined to be stored through checking and under the condition that a contribution degree calculation model obtained by negotiation performed in advance by the cooperation device and the participation device is determined to be stored, reading related data of the multi-party calculation task from a block chain service system through a block chain service agent data interface;

2. The method according to claim 1, wherein the contribution degree evaluation information includes a degree of participation and a degree of value contribution; the data related to the multi-party computing task includes: specific indexes of participation degree and specific indexes of value contribution degree; the specific indexes of the value contribution degree comprise: the single calculation amount, the calculation times and the number of updated and received parameters for completing the calculation;

calculating the sum of specific index values of the participation degrees of all the participants, and calculating the ratio of the specific index value of the participation degree of the requested party to the sum of the specific index values of the participation degrees of all the participants to obtain the value of the participation degree of the requested party; wherein, the specific index of the participation degree comprises any one of participation duration, participation period and participation frequency;

calculating the sum of the effective contribution degrees of the participants according to the specific indexes of the value contribution degrees of the participants, and calculating the ratio of the effective contribution degree of the requested party to the sum of the effective contribution degrees of the participants to obtain the value of the value contribution degree of the requested party;

and after the product of the single calculation amount of the corresponding completed calculation and the calculation times is calculated, adding the product and the updated and received number of parameters to obtain the effective contribution degree of each participant.

3. The method of claim 1, wherein the data related to the multi-party computing task is valid data; before processing the relevant data of the multi-party computing task according to the contribution computation model, the method further comprises:

reading data set index information and log information of the multi-party computing task from a block chain service system;

4. The method of claim 1,

the multi-party computing task includes task executable code; the cooperation device and the participation device are used for acquiring a pre-appointed data set through index information of a shared data set and processing the data set according to the same task executable code so as to process the multi-party computing task;

prior to the responding to the contribution computation request received through the multi-party computing service broker data interface of the evaluation system server, the method further comprises:

5. The method of claim 1, wherein the data related to the multi-party computing task is data related to the multi-party computing task stored in the blockchain service system by an evaluation system server after the cooperating device and the participating device perform the multi-party computing task;

in a case where the multi-party computing task is a one-time computing task, prior to the computing request responsive to the contribution received through a multi-party computing service broker data interface of an evaluation system server, the method further comprises:

receiving task starting state information of the multi-party computing task sent by the cooperation device through the multi-party computing service agent data interface; wherein the task start state information is information sent to an evaluation system server when the coordinating device sends a task execution notification message to each participating device to cause the participating devices to begin executing the multi-party computing task; wherein the task execution notification message includes at least one of: task identification, calculation codes and calculation parameters of the multi-party calculation task, identification information or description information of other participating devices except the participating devices, and encryption information of data returned by the participating devices to the cooperative device after calculation is finished;

storing first task execution information of the participating device received through the multi-party computing service proxy data interface to the blockchain service system through the blockchain service proxy data interface; wherein the first task execution information is that the participating device executes the multi-party computing task after receiving the task execution notification message: information for recording related information of at least one operation of task check and authentication, task execution and task execution result feedback;

storing second task execution information of the collaboration device received through the multi-party computing service proxy data interface to the blockchain service system through the blockchain service proxy data interface; the second task execution information is an execution result of the multiparty computing task recorded by the cooperation device and is sent to the data interface of the block chain service proxy after multiparty computing is finished.

6. The method according to claim 5, wherein in case the multi-party computing task is a multiple repetitive computing task, each of the participating devices is configured to continuously perform the multi-party computing task and exchange intermediate process parameters with other of the participating devices through the cooperating device, the intermediate process parameters at least including intermediate computing results; wherein each of the participating devices, when configured to continuously perform the multi-party computing task, is specifically configured to:

under the condition that the intermediate calculation result meets the execution condition of the preset calculation process, the multi-party calculation task is continuously executed, and a corresponding evaluation result is fed back to the cooperation device;

and wherein the first task execution information further comprises: at least one of the intermediate calculation result, the state of executing the intermediate calculation result, the evaluation result, the execution end notification message and the execution final result recorded by the participating device while the multi-party calculation task is continuously executed; the second task execution information further includes: at least one of the intermediate process parameters, the evaluation notification messages, the evaluation results, the execution end notification messages and the execution final results recorded by the cooperation device.

7. The method according to claim 5 or 6, wherein the task start status information and the second task execution information are information sent to the data interface of the multiparty computing service proxy after a first security assurance process, and the first task execution information is information sent to the data interface of the multiparty computing service proxy after a second security assurance process;

the first security assurance process includes: at least one of the first signature processing and the encryption processing after the first signature processing; the information to be sent in the task starting state information and the second task execution information is sent; the first signature processing includes: the cooperative device generates first summary information for at least part of the information to be sent, and uses a private key of the cooperative device to sign the first summary information; the encryption processing after the first signature processing comprises: the cooperation device encrypts the information to be sent after the first signature processing by using a preset encryption mode;

the second security assurance process includes: performing at least one of encryption processing after the second signature processing and the second signature processing; wherein the second signature processing comprises: the participating device generates second summary information for at least part of the sent first task execution information, and signs the second summary information by using a private key of the participating device; the encryption processing after the second signature processing comprises: the cooperation device encrypts the first task execution information subjected to the second signature processing by using a preset encryption mode;

the storing the task starting state information of the multi-party computing task to the block chain service system through a block chain service agent data interface comprises:

the storing, to the blockchain service system through the blockchain service agent data interface, second task execution information of the collaboration device received through the multi-party computing service agent data interface includes:

8. The method of claim 1, wherein the task is a successful negotiated and registered task; prior to the responding to the contribution computation request received through the multi-party computation service broker data interface of the evaluation system server, the method further comprises:

receiving a task registration request from the cooperative device in response to a multi-party computing service agent data interface of an evaluation system server, wherein the task registration request is used for registering a multi-party computing task pre-negotiated by the cooperative device and the participating devices, and task information of the multi-party computing task comprises at least one of the following information items: selecting a model for multi-party calculation, calculating times of the multi-party calculation and calculating data set information of the multi-party calculation;

storing the task identifier and the task information in an evaluation system server, and/or storing the task identifier and the task information to the blockchain service system through the blockchain service proxy data interface of the evaluation system server;

feeding back a processing result of the task registration request to the cooperation device through a multi-party computing service proxy data interface of an evaluation system server so as to inform the participating device of preparing to participate in the multi-party computing task and receive information fed back by the participating device and used for indicating acceptance and preparing to participate in the multi-party computing task.

9. The method of claim 1, wherein the collaborating device and the participating device are both registered devices, and wherein prior to the responding to the contribution computation request received via the multi-party computing service broker data interface of the evaluation system server, the method further comprises:

receiving, by the multi-party computing service broker data interface, a first device registration request of the cooperating device and a second device registration request of the participating device;

10. A multi-party calculation contribution evaluation apparatus, the apparatus comprising:

the multi-party computing service agent module is used for responding to a contribution computing request received through a multi-party computing service agent data interface of the evaluation system server and acquiring task identification of a multi-party computing task, identity identification information of a requesting party and identity identification information of a requested party from the contribution computing request;

the multi-party computing service agent module is also used for feeding back the contribution degree evaluation information to a device corresponding to the requester.

11. An evaluation system server, comprising:

one or more processors;

memory having one or more programs stored thereon that, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-9;

one or more I/O interfaces connected between the processor and the memory and configured to enable information interaction between the processor and the memory.

12. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-9.