CN114462091A - Block chain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy - Google Patents
Block chain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy Download PDFInfo
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Abstract
The invention discloses a block chain-based fair transaction and privacy protection method for a crowdsourcing platform, wherein the crowdsourcing platform comprises block chain nodes, a packet sender and a packet receiver, and the block chain nodes are responsible for maintaining the operation of a block chain system and comprise block generation, transaction correctness verification and state conversion and execution in an intelligent contract of the crowdsourcing platform; the invention provides a realization method of a de-centering crowdsourcing system with transaction fairness and privacy protection. The method can be applied to the fields of big data analysis, artificial intelligence and the like, and has wide application prospect.
Description
Technical Field
The invention relates to a means for ensuring fair transaction and privacy protection, in particular to a method for realizing fair transaction and privacy protection based on a crowdsourcing platform of a block chain.
Background
With the continuous maturity and development of big data analysis and artificial intelligence, the continuous development of big data analysis and artificial intelligence pushes social intelligence to become the inevitable trend of future development, and one of the key technologies to be solved for realizing social intelligence is how to acquire relevant data in various fields of society in time.
Crowdsourcing is an important method for acquiring a large amount of data at a low cost, and can enable users scattered in different areas and at different times to collect information on a certain task, and the characteristic is very consistent with the requirement of massive and multidimensional data for big data analysis and artificial intelligence.
At the same time, however, the inventors of the present application have found that the above-mentioned techniques have at least the following technical problems:
1) the crowdsourcing system has some problems, for example, the existing centralized crowdsourcing system adopts a third-party platform to perform coordination, namely, an issuing party issues tasks to the platform, a receiving party receives the tasks on the platform and uploads the data to the platform, the issuing party evaluates the data and rewards the corresponding receiving party, obviously, the crowdsourcing system is easy to suffer from single-point faults, and the issuing party and the receiving party can expose personal privacy to the crowdsourcing platform;
2) the existing decentralized crowdsourcing system utilizes a blockchain as a platform, and a packet sender and a packet receiver perform task issuing and data uploading through an intelligent contract, although the existing system uses a one-time address, asymmetric encryption and zero knowledge proof to ensure the privacy and correctness of data collection storage calculation, due to the anonymization characteristics of the one-time address and the blockchain, one packet receiver can perform data collection with multiple identities, so that the existing system can obtain multiple data and corresponding rewards, and therefore the existing system can train a generation model with the data, so that a large amount of high-quality data meeting requirements can be easily generated, the diversity of collected data is reduced, other packet receivers are not fair, and the work power of participating in crowdsourcing is reduced.
Therefore, for the crowdsourcing system, not only the decentralization problem needs to be solved, but also the privacy of the user and the fairness of the transaction need to be further ensured.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for realizing a decentralized crowdsourcing system with fair transaction and privacy protection aiming at the defects of the prior art.
The embodiment of the application provides a design and implementation method of a block chain crowdsourcing platform for ensuring transaction fairness and data privacy, wherein the crowdsourcing platform comprises block chain nodes, a packet sending party and a packet receiving party, and is characterized in that: the block chain nodes are responsible for maintaining the operation of a block chain system, including the generation of blocks, the verification of transaction correctness and the state conversion and execution in a crowdsourcing platform intelligent contract;
the method for fair transaction and privacy protection of the crowdsourcing platform comprises the following steps:
s1, the subcontracting party publishes the crowdsourcing task in the block chain system in the form of an intelligent contract, the intelligent contract comprises the description of the crowdsourcing task, the deadline of the task, the public key of asymmetric encryption, the number of the subcontracting parties required by the task, a quality evaluation method and the rewards obtained by the task subcontracting parties, and all the rewards are prestored in the crowdsourcing platform intelligent contract in the form of a deposit;
s2, the contracting party generates a one-time block chain address, the one-time block chain address is registered with the platform and participates in the task issued by the contracting party, the asymmetric encrypted public key stored in the block chain is obtained after the task is completed, the solution is encrypted, and the encrypted data is uploaded to the crowdsourcing task intelligent contract;
s3, after receiving the data uploaded by the contracting party, the contracting party decrypts the data by using an asymmetric private key, calculates the corresponding data quality, generates a zero knowledge proof and a verification key by using zero knowledge, verifies the data quality by using the verification key through a calculation mode described in a crowdsourcing task intelligent contract, and triggers the reward of the crowdsourcing platform for the contracting party according to the data quality;
s4, the crowdsourcing platform uses the mask to protect the relation between the crowdsourcing task reward and the data uploaded by the receiver, so that the receiver can not forge reward data by using the generative model;
s5, the contracting party verifies the correctness of the corresponding reward by using a verification key after receiving the reward, if the reward does not conform to the correctness, the data can be disclosed, and the crowdsourcing platform is enabled to compensate;
and S6, returning the residual deposit of the task to the corresponding contracting party after the task deadline is passed.
The technical scheme of the invention is further limited as follows: the S1 specifically includes the following steps:
s11, the subcontracting party firstly generates an asymmetric key pair public key pk and a private key sk, the required number N of the subcontracting parties and a reward o which can be obtained after the subcontracting party completes the task based on a certain task; submitting the deposit with the quantity of N & o to the crowdsourcing platform by the subcontracting party, and ensuring that the subcontracting party can obtain corresponding rewards after completing tasks;
s12, the subcontracting party creates a crowdsourcing task intelligent contract, and the content of the task intelligent contract comprises task description, a public key pk, the required number N of the subcontracting parties, a reward o for completing tasks and a data quality evaluation function f;
s13, after receiving the uploaded message of the task intelligent contract data ed, the crowdsourcing platform decrypts the data ed by using a private key sk to obtain original data d, and calculates by using a data quality evaluation function f to obtain data quality qd ═ f (d); the contracting party generates a zero knowledge proof Π and verification key vk.
Preferably, the S2 specifically includes the following steps:
s21, the subcontracting party firstly registers to the crowdsourcing platform and indicates the number n of crowdsourcing tasks to be completed;
s22, after the registration is successful, finding a crowdsourcing task in the block chain and participating in the crowdsourcing task;
s23, after the task is completed, the public key pk in the intelligent contract of the task is used for encrypting the data to generate encrypted data ed and the encrypted data ed is stored in the intelligent contract of the task;
and S24, after receiving the reward mo from the crowdsourcing platform, the contracting party verifies the zero knowledge proof pi by using a verification key vk in a task intelligent contract, if the verification fails, an arbitration process in the crowdsourcing platform is triggered, and a corresponding reward o is obtained from the crowdsourcing platform.
Preferably, the crowdsourcing platform is commonly maintained by the block chain nodes in the form of an intelligent contract, receives requests sent by the contracting party and the contracting party, and responds to information sent by the intelligent contracts of the contracting party, the contracting party and the crowdsourcing task; the above-mentionedIntelligent contract of crowdsourcing platformThe method comprises the following steps:
1) storing all crowdsourcing task information released by all packet senders;
2) saving the deposit which is required to be saved in advance by the packet issuing party in the task release, and only triggering the reward of the packet receiving party by the packet issuing party;
3) storing the corresponding relation between the packet receiver and the crowdsourcing task;
4) an arbitration function is provided when the recipient fails to verify the award distributed by the issuer.
Preferably, the crowdsourcing platform smart contract stores a deposit submitted by the contracting party during registration, and when receiving a reward o from the contracting party to the contracting party, selects a random number m, generates a reward mo with a mask, which is m + o, so as to protect the relationship between the uploaded data d and the obtained reward o of the contracting party, and enable the contracting party to forge reward data by using a generation model;
if the crowdsourcing platform receives an arbitration message submitted by a contracting party, the crowdsourcing platform firstly verifies a zero knowledge certificate Π by using a verification key vk, and if the zero knowledge certificate Π is invalid, the crowdsourcing platform carries out corresponding reward o to the contracting party.
Preferably, theIntelligent contract for crowdsourcing tasksThe method comprises the following steps:
1) saving and updating crowdsourcing task state information: the method comprises the following steps of describing tasks, crowdsourcing the number of current required packet receivers of the tasks, encrypting an asymmetric public key of a solution, and adding and updating the number of the current required packet receivers in the packet receivers;
2) triggering a crowdsourcing platform intelligent contract according to the data quality provided by the contracting party to reward the corresponding crowdsourcing task contracting party; and saves the zero knowledge proof Π and verification key vk generated at step S13.
Preferably, theThe execution step of the crowdsourcing task intelligent contract comprises the following steps:
1) after being created by the contracting party, if the joining information of the contracting party is received and if a crowdsourcing party is needed, the contracting party information is saved in a registry,
2) after receiving data ed uploaded by a contracting party in a registry, the crowdsourcing task intelligent contract saves corresponding information and informs the contracting party that the data is uploaded;
3) after receiving the zero knowledge proof Π, the verification key vk and the reward o of the subcontracting party sent by the subcontracting party, the task intelligent contract saves the zero knowledge proof Π and the verification key vk and triggers the crowdsourcing platform to carry out corresponding reward o on the subcontracting party.
Preferably, the zero knowledge proof Π is used to prove:
1) the private key sk used for decryption and the public key pk used for encryption are a legal asymmetric key pair;
2) the data d used by the packet sender for data quality evaluation is obtained by decrypting the uploaded data ed by the private key sk;
3) the data quality qd is calculated by a task intelligent contract quality function f; and the crowdsourcing platform stores the zero knowledge proof Π and the verification key vk into a task intelligent contract and rewards the task intelligent contract according to the data quality qd.
Preferably, the crowdsourcing task intelligent contract is issued by an issuer in a crowdsourcing task, and can only be changed by the issuer, and in the course of the life cycle of the contract, the method specifically includes the following steps:
step 301, the crowdsourcing task intelligent contract receives a task adding request from a contracting party, if the number of the remaining contracting parties is 0, step 305 is carried out, otherwise step 302 is carried out;
step 302, the crowdsourcing task intelligent contract adds a receiver sending a request to a registry;
step 303, the crowdsourcing task intelligent contract receives data uploaded by a contracting party, if the contracting party uploads the data and is not in a registry or has uploaded the data, step 305 is performed, otherwise step 304 is performed;
304, the crowdsourcing task intelligent contract saves the data uploaded by the contracting party, records the corresponding relation between the contracting party and the uploaded data, and informs the contracting party that new data arrives;
at step 305, the process ends.
Preferably, after all user data are uploaded or overtime, the packet receiver and the packet sender can only read the task; after submitting the encrypted data to the tasks which the packet receiver participates in, the packet receiver cannot carry out secondary submission, namely, the packet receiver can only carry out primary submission to the tasks.
Preferably, the performing step of the crowdsourcing platform comprises:
step 101, initializing the crowdsourcing platform;
102, the crowdsourcing platform receives the registration of a packet sender or a packet receiver, if the node is the packet sender, the step 103 is carried out, otherwise, the step 107 is carried out;
103, the crowdsourcing platform saves the task intelligent contract address issued by the contracting party and saves the task deposit submitted by the contracting party;
104, the crowdsourcing platform receives reward information of a packet receiver sent by the packet sender, rewards the packet receiver by using deposit submitted by the packet sender, if the packet receiver finishes the last crowdsourcing task, the step 105 is carried out, otherwise, the step 106 is carried out;
step 105, the crowdsourcing platform selects a random number m _ n, calculates an award mr _ n-m _ n + o _ n satisfying a condition mr _1+ … + mr _ n-o _1+ … + o _ n, distributes the award mr _ n to the receiving party, wherein o _1, … and o _ n are awards that the receiving party should obtain to complete a crowdsourcing task 1, … and n, and performs step 110;
step 106, the packet receiver completes the ith task, wherein i is more than or equal to 1 and is less than n, the crowdsourcing platform selects a random number m _ i, artificially sends an incentive of mr _ i-m _ i + o _ i to crowdsourcing, and then step 110 is performed;
step 107, the crowdsourcing platform saves the registration information of the packet receiver and saves the relation between the address of the packet receiver and the number m of tasks needing to participate;
step 108, the crowdsourcing platform receives the request of the crowdsourcing party for participating in the crowdsourcing task, adds the address information of the crowdsourcing party to the corresponding crowdsourcing task address, and updates the information of the number of the rest people of the crowdsourcing task;
step 109, receiving the request for the packet receiving party to evaluate the data quality incorrectly, verifying by using a verification key, and if the result is true, distributing a corresponding crowdsourcing task to reward the packet receiving party;
at step 110, the process ends.
Advantageous effects: the invention provides a realization method of a de-centering crowdsourcing system with transaction fairness and privacy protection. The method can be applied to the fields of big data analysis, artificial intelligence and the like, and has wide application prospect.
Drawings
Fig. 1 is a schematic structural diagram of a crowdsourcing system in an embodiment of the invention.
Fig. 2 is a schematic flow chart of the crowdsourcing platform in the crowdsourcing task according to the embodiment of the invention.
FIG. 3 is a flow chart of the crowdsourcing task for the publisher in an embodiment of the invention.
Fig. 4 is a schematic flow chart of a crowdsourcing task intelligence contract in crowdsourcing tasks according to an embodiment of the present invention.
FIG. 5 is a flow chart illustrating the flow of a subcontractor in completing a crowdsourcing task in accordance with an embodiment of the present invention.
Detailed Description
The block chain in the embodiment of the invention is a distributed system, which is mainly characterized by decentralization and non-tamper property; the intelligent contract is a protocol running in a block chain system and can trigger a preset function when meeting protocol conditions; the asymmetric encryption is an applied cryptography technology, a secret key comprises a public key and a private key, the public key is used for encrypting data, and the private key is used for decrypting the data; the zero-knowledge proof is an applied cryptography technology, a proof generator can generate a proof and a verification key to prove that the proof generator has private data meeting certain conditions, and a third party can verify whether the proof generator has the private data meeting the conditions by using the verification key without revealing any information related to the private data; the generative model is a model capable of randomly generating observation data.
The embodiment discloses a realization method of a decentralized crowdsourcing system for transaction fairness and privacy protection, wherein the crowdsourcing system comprises three types of nodes: the block chain node, the packet sending party and the packet receiving party; the roles of blockchain nodes, the contracting party and the receiving party can be switched, i.e. after a node joins the crowdsourcing system, it may perform different roles at different times, e.g. it may issue tasks (when it is the contracting party), receive crowdsourcing tasks (when it is the receiving party) or participate in system maintenance (when it is the blockchain node).
The blockchain node is responsible for maintaining the operation of a blockchain system, including the generation of the node, the verification of the correctness of the transaction and the state conversion and execution in the intelligent contract of the crowdsourcing system; the method comprises the steps that an issuing party issues crowdsourcing tasks in a block chain in the form of an intelligent contract, the intelligent contract comprises description of the crowdsourcing tasks, the deadline of the tasks, an asymmetrically encrypted public key, the number of contracting parties required by the tasks, a quality evaluation method and rewards which can be obtained by the contracting parties after the tasks are completed, and all the required rewards are prestored in an intelligent contract of a crowdsourcing platform in the form of deposit; if the contracting party wants to participate in a certain crowdsourcing task, the contracting party generates a disposable block chain address, participates in a task issued by the contracting party after registering to the platform, acquires an asymmetric public key stored in the block chain after the task is completed to encrypt a solution, and uploads encrypted data to an intelligent contract corresponding to the crowdsourcing task; the method comprises the steps that after receiving data uploaded by a receiving party, a packet sender uses an asymmetric private key for decryption, calculates corresponding data quality, uses zero knowledge to generate a certificate and a verification key, can use the verification key to verify the data quality and is obtained through a calculation mode described in a task intelligent contract, and triggers a crowdsourcing platform to reward the receiving party according to the quality obtained by the data; the contracting party can use the verification key to verify the correctness of the reward after receiving the corresponding reward, if the reward does not conform to the correctness, the data can be disclosed, and the crowdsourcing platform is allowed to compensate; after the task deadline is passed, the remaining deposit for the task is returned to the corresponding sponsor.
The crowdsourcing platform intelligent contract provides four functions, wherein the first function is to store all crowdsourcing task information issued by all the contracting parties; the second function is to store the deposit which is required to be stored in advance by the contracting party in the task issuing process, and only the contracting party can trigger the reward of the butting party; the third function is to store the corresponding relation between the packet receiver and the crowdsourcing task; the fourth function is to provide an arbitration function when the recipient fails to verify the award distributed by the issuer.
The crowdsourcing task intelligent contract provides two functions, wherein the first function is to store and update crowdsourcing task state information, which comprises task description, the number of current required packet receivers of the crowdsourcing task, an asymmetric public key for encrypting a solution and the number of the current required packet receivers added and updated by the packet receivers; the second function is to trigger the crowdsourcing platform intelligent contract to reward the corresponding crowdsourcing task contracting party and store the zero-knowledge proof pi and the verification key vk generated in the previous step.
The crowdsourcing platform is commonly maintained by the block chain nodes in the form of an intelligent contract, receives requests sent by the contracting party and the contracting party, and responds to information sent by the intelligent contracts of the contracting party, the contracting party and the crowdsourcing task. The crowdsourcing platform intelligent contract stores a deposit submitted by the contracting party during registration, and selects a random number m when receiving a reward o from the contracting party to the contracting party, and generates a reward mo (m + o) with a mask, so that the relation between the uploaded data d and the obtained reward o of the contracting party is protected, the contracting party cannot forge reward data by using a generation model, the transaction fairness is ensured, and the contracting party is kept participating in task incentive; if the crowdsourcing platform receives an arbitration message submitted by a contracting party, the crowdsourcing platform firstly verifies pi by using a verification key vk, and if pi is invalid, the crowdsourcing platform carries out corresponding reward o to the contracting party.
After the crowdsourcing platform is deployed in the blockchain, the contracting party can participate in the crowdsourcing task distribution, data collection and reward. The method comprises the steps that a packet sender firstly generates an asymmetric key pair, a public key pk and a private key sk, the required number N of packet receivers, and a reward o which can be obtained after the packet receivers complete tasks; submitting the deposit with the quantity of N & o to the crowdsourcing platform by the parcel issuing direction, and ensuring that the parcel receiving party can obtain corresponding rewards after completing tasks; after submitting a deposit to the crowdsourcing platform, a crowdsourcing party creates a crowdsourcing task intelligent contract, and the task intelligent contract comprises task description, a public key pk, the required number N of contracting parties, reward o for completing tasks and a data quality evaluation function f; after receiving the uploaded message of the task intelligent contract data ed, the crowdsourcing party decrypts the data ed by using a private key sk to obtain original data d, and calculates by using a data quality evaluation function f to obtain data quality qd ═ f (d); the contracting party generates a zero knowledge proof pi and a verification key vk.
Π is used to demonstrate that the following conditions are met: 1. the private key sk used for decryption and the public key pk used for encryption are a legal asymmetric key pair; 2. the data d sent by the package for data quality evaluation is obtained by decrypting and uploading data ed through a private key sk; 3. the data quality qd is calculated by a task intelligent contract quality function f; and the crowdsourcing party saves the certificate Π and the verification key vk to a task intelligent contract and awards the task intelligent contract according to the data quality qd.
After the crowdsourcing task intelligent contract is created by the contracting party, if the adding information of the contracting party is received, if the crowdsourcing party is needed, the information of the contracting party is stored in the registry, after the data ed uploaded by the contracting party in the registry is received, the crowdsourcing task intelligent contract stores corresponding information and informs the contracting party that the data is uploaded; after receiving a certificate Π, a verification key vk and a reward o of the contracting party, which are sent by the contracting party, the task intelligent contract saves the Π and vk and triggers a crowdsourcing platform to carry out corresponding reward o on the contracting party.
After the intelligent contract of the crowdsourcing task is uploaded, the contracting party can participate in the crowdsourcing task, upload data and obtain rewards. Firstly, registering crowdsourcing workers to a crowdsourcing platform, and indicating the number n of crowdsourcing tasks to be completed; after the successful registration of the packet receiver, searching a crowdsourcing task in a block chain and participating in the crowdsourcing task; after the packet receiver finishes the task, encrypting the data by using a public key pk in the participated task intelligent contract to generate encrypted data ed and storing ed in the task intelligent contract; after the package receiver receives the reward mo from the crowdsourcing platform, the verification key vk in the task intelligent contract is used for verifying the pi, if the verification fails, an arbitration process in the crowdsourcing platform is triggered, and a corresponding reward o is obtained from the crowdsourcing platform.
In the method of the invention, the intelligent contract can trigger corresponding responses according to preset conditions, and the responses are due to the characteristics of the block chain, and the intelligent contract and the encrypted data can be permanently stored on the chain, so that the packet receiver and the packet sender can perform historical query on the chain to obtain the related task description and the uploaded data.
In the method of the embodiment of the invention, after all user data of the task intelligent contract are uploaded or overtime, any packet receiving party can not participate in the task any more, and the packet sending party can not modify the task any more, namely, the packet receiving party and the packet sending party can only read the task; after submitting the encrypted data to the tasks which the packet receiver participates in, the packet receiver cannot carry out secondary submission, namely, the packet receiver can only carry out primary submission to the tasks.
In the method of the embodiment of the invention, when registering to the crowdsourcing platform, a receiver indicates the number n of tasks to be completed, and n is more than or equal to 2, so that the receiver can be prevented from acquiring the relationship between the task reward o and the collected data d, otherwise, the crowdsourcing platform should refuse the registration of the receiver. For each crowdsourcing task, its public key and private key are the same. For example, a crowdsourcing task requires 5 contracting parties, the public key of the contracting party is pk, and the private key is sk, so that for the 5 contracting parties, they encrypt data using the same public key pk, and the private key sk is stored by the contracting party and used for decrypting data. If two different crowdsourcing tasks are involved, their public key pk and private key sk are not the same.
In the method provided by the embodiment of the invention, the random number m _ i selected by the crowdsourcing platform, wherein i is more than or equal to 1 and less than or equal to n, mr _ i is more than or equal to 0, so that the condition that the reward is negative is avoided, the crowdsourcing platform needs to ensure the certainty of the crowdsourcing party and the task, and after the crowdsourcing party completes all the specified tasks, the crowdsourcing platform needs to ensure that the crowdsourcing party can not participate in the crowdsourcing task any more.
In the method provided by the embodiment of the invention, the crowdsourcing platform refunds the remaining deposit to the crowdsourcing platform after the deadline of the crowdsourcing task passes, and the contracting party only has one crowdsourcing task, so that the correlation attack on the contracting party is prevented.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example one
The embodiment provides a realization method of a de-center crowdsourcing system with fair transaction and privacy protection, a packet sender can release crowdsourcing tasks at any time, a packet receiver collects and uploads task data, the packet sender can acquire the data uploaded by the packet receiver and can prevent the packet receiver from forging a large amount of data by utilizing a generation model, and therefore the interests of other packet receivers are disturbed.
Fig. 1 is a schematic diagram of a crowdsourcing system architecture according to the present invention, where the crowdsourcing system in the present invention includes three types of nodes: the block chain node 1, the packet sending party node 2 and the packet receiving party node 3 are connected in series, wherein the packet sending party node 2 and the packet receiving party node 3 form a role of a crowdsourcing system, and the block chain link node 1 is a maintenance role of the block chain and is responsible for verifying transaction validity and achieving consensus on a generated block of the block chain system.
Fig. 2 is a flowchart of the crowdsourcing platform in a crowdsourcing task, where the crowdsourcing platform is responsible for passively accepting requests issued by the sourcing party and the receiving party and responding to the status of the crowdsourcing task, and specifically includes the following steps:
step 101, initializing the crowdsourcing platform;
102, the crowdsourcing platform receives the registration of a packet sender or a packet receiver, if the node is the packet sender, the step 103 is carried out, otherwise, the step 107 is carried out;
103, the crowdsourcing platform saves the task intelligent contract address issued by the contracting party and saves the task deposit submitted by the contracting party;
104, the crowdsourcing platform receives reward information of a packet receiver sent by the packet sender, rewards the packet receiver by using deposit submitted by the packet sender, if the packet receiver finishes the last crowdsourcing task, the step 105 is carried out, otherwise, the step 106 is carried out;
step 105, the crowdsourcing platform selects a random number m _ n, calculates an award mr _ n-m _ n + o _ n satisfying a condition mr _1+ … + mr _ n-o _1+ … + o _ n, distributes the award mr _ n to the receiving party, wherein o _1, … and o _ n are awards that the receiving party should obtain to complete a crowdsourcing task 1, … and n, and performs step 110;
step 106, the packet receiver completes the ith task, wherein i is more than or equal to 1 and is less than n, the crowdsourcing platform selects a random number m _ i, artificially sends an incentive of mr _ i-m _ i + o _ i to crowdsourcing, and then step 110 is performed;
step 107, the crowdsourcing platform saves the registration information of the packet receiver and saves the relation between the address of the packet receiver and the number m of tasks needing to participate;
step 108, the crowdsourcing platform receives the request of the crowdsourcing party for participating in the crowdsourcing task, adds the address information of the crowdsourcing party to the corresponding crowdsourcing task address, and updates the information of the number of the rest people of the crowdsourcing task;
step 109, receiving the request for the packet receiving party to evaluate the data quality incorrectly, verifying by using a verification key, and if the result is true, distributing a corresponding crowdsourcing task to reward the packet receiving party;
at step 110, the process ends.
Fig. 3 is a flowchart of the time when the contracting party needs to issue a crowdsourcing task, which specifically includes the following steps:
step 201, registering the crowdsourcing direction platform by the sourcing direction;
step 202, the subcontracting party generates a needed asymmetric key pair, and the key pair, the task description, the quality evaluation method, the needed subcontracting party number and the reward are used for generating a task intelligent contract;
step 203, after the task intelligent contract receives the data from the packet receiving party, the packet sending party decrypts the data by using a private key of the asymmetric key pair;
step 204, the contracting party evaluates the data by using a quality evaluation method when generating the intelligent contract and generates a corresponding zero-knowledge proof and a verification key;
step 205, the subcontracting party triggers a crowdsourcing task intelligent contract to reward the subcontracting party according to the data quality, and the crowdsourcing task intelligent contract saves the zero knowledge proof pi and the verification key vk generated in the step S13;
step 206, the process ends;
fig. 4 is a flowchart of the crowdsourcing task intelligent contract in a crowdsourcing task, the crowdsourcing task intelligent contract is issued by an issuing party and can only be changed by the issuing party, and the crowdsourcing task intelligent contract specifically comprises the following steps in the life cycle process:
step 301, the crowdsourcing task intelligent contract receives a task adding request from a packet receiver, if the number of the remaining packet receivers is 0, step 305 is performed, otherwise, step 302 is performed;
step 302, the crowdsourcing task intelligent contract adds a receiver sending a request to a registry;
step 303, the crowdsourcing task intelligent contract receives data uploaded by a contracting party, if the contracting party uploads the data and is not in a registry or has uploaded the data, step 305 is performed, otherwise step 304 is performed;
304, the crowdsourcing task intelligent contract saves the data uploaded by the contracting party, records the corresponding relation between the contracting party and the uploaded data, and informs the contracting party that new data arrives;
step 305, the process ends;
fig. 5 is a flowchart of the crowdsourcing party participating in a crowdsourcing task, which specifically includes the following steps:
step 401, registering the crowdsourcing direction platform, and indicating the number n of tasks to be completed, wherein n is more than or equal to 2;
step 402, the crowdsourcing direction sends information of participating crowdsourcing tasks to a crowdsourcing platform;
step 403, the packet receiver encrypts data by using the public key of the asymmetric key in the participated crowdsourcing task;
step 404, the package receiving party receives the reward from the crowdsourcing platform, the corresponding zero knowledge certificate and the verification key, verifies the certificate by using the verification key, if the verification is passed, the step 405 is carried out, otherwise, the step 406 is carried out;
step 405, the crowdsourcing side sends data quality evaluation error information to the crowdsourcing platform, triggers the crowdsourcing platform to correspond to step 106, and waits for a processing result;
at step 406, the process ends.
In summary, the present embodiment provides a method for implementing a crowdsourcing platform for decentralized, privacy protection, and fair transaction, and the technology can be used in many fields such as artificial intelligence, big data analysis, and environmental monitoring, for example, in the field of artificial intelligence, an issuer can issue collection or tagging tasks for an original data set on the crowdsourcing platform, and receivers scattered in various regions around the world can collect or tag the data at any time, so that the issuer is not limited by regions and time, and can randomly access data uploaded by a receiver on a task intelligent contract through a block chain, and due to the characteristics of dispersibility and number superiority of the receiver, the technology can prevent the receiver from using a generation model to generate pseudo data meeting requirements, and ensure that all receivers participate in the enthusiasm of tasks, thereby meeting the requirement of a large number in the field of artificial intelligence, the wide data of dimensionality trains and reaches practical intelligent effect, therefore, this technique has very high spreading value.
The foregoing is only a preferred embodiment of this invention and it should be noted that modifications can be made by those skilled in the art without departing from the principle of the invention and these modifications should also be considered as the protection scope of the invention.
Claims (10)
1. Guarantee block chain crowdsourcing platform design and implementation method of fair and data privacy of transaction, crowdsourcing platform includes block chain node, sends the party of contracting and connects the party of contracting, its characterized in that: the block chain nodes are responsible for maintaining the operation of a block chain system, including the generation of blocks, the verification of transaction correctness and the state conversion and execution in a crowdsourcing platform intelligent contract;
the method for fair transaction and privacy protection of the crowdsourcing platform comprises the following steps:
s1, the subcontracting party publishes the crowdsourcing task in the block chain system in the form of an intelligent contract, the intelligent contract comprises the description of the crowdsourcing task, the deadline of the task, the public key of asymmetric encryption, the number of the subcontracting parties required by the task, a quality evaluation method and the rewards obtained by the task subcontracting parties, and all the rewards are prestored in the crowdsourcing platform intelligent contract in the form of a deposit;
s2, the contracting party generates a one-time block chain address, the one-time block chain address is registered with the platform and participates in the task issued by the contracting party, the asymmetric encrypted public key stored in the block chain is obtained after the task is completed, the solution is encrypted, and the encrypted data is uploaded to the crowdsourcing task intelligent contract;
s3, after receiving the data uploaded by the contracting party, the contracting party decrypts the data by using an asymmetric private key, calculates the corresponding data quality, generates a zero knowledge proof and a verification key by using zero knowledge, verifies the data quality by using the verification key through a calculation mode described in a crowdsourcing task intelligent contract, and triggers the reward of the crowdsourcing platform for the contracting party according to the data quality;
s4, the crowdsourcing platform uses the mask to protect the relation between the crowdsourcing task reward and the data uploaded by the receiver, so that the receiver can not forge reward data by using the generative model;
s5, the contracting party verifies the correctness of the corresponding reward by using a verification key after receiving the reward, if the reward does not conform to the correctness, the data can be disclosed, and the crowdsourcing platform is enabled to compensate;
and S6, returning the residual deposit of the task to the corresponding contracting party after the task deadline is passed.
2. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 1, wherein: the S1 specifically includes the following steps:
s11, the subcontracting party firstly generates an asymmetric key pair public key pk and a private key sk, the required number N of the subcontracting parties and a reward o which can be obtained after the subcontracting party completes the task based on a certain task; submitting the deposit with the quantity of Nao to the crowdsourcing platform by the subcontracting party, and ensuring that the subcontracting party can obtain corresponding rewards after completing tasks;
s12, the subcontracting party creates a crowdsourcing task intelligent contract, and the content of the task intelligent contract comprises task description, a public key pk, the required number N of the subcontracting parties, a reward o for completing tasks and a data quality evaluation function f;
s13, after receiving the uploaded message of the task intelligent contract data ed, the crowdsourcing platform decrypts the data ed by using a private key sk to obtain original data d, and calculates by using a data quality evaluation function f to obtain data quality qd ═ f (d); the contracting party generates a zero knowledge proof Π and verification key vk.
3. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 1, wherein: the S2 specifically includes the following steps:
s21, the receiver first registers to the crowdsourcing platform to indicate the number n of crowdsourcing tasks to be completed;
s22, after the registration is successful, finding a crowdsourcing task in the block chain and participating in the crowdsourcing task;
s23, after the task is completed, the public key pk in the intelligent contract of the task is used for encrypting the data to generate encrypted data ed and the encrypted data ed is stored in the intelligent contract of the task;
and S24, after receiving the reward mo from the crowdsourcing platform, the contracting party verifies the zero knowledge proof pi by using a verification key vk in a task intelligent contract, if the verification fails, an arbitration process in the crowdsourcing platform is triggered, and a corresponding reward o is obtained from the crowdsourcing platform.
4. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 1, wherein: the crowdsourcing platform is commonly maintained by block chain link points in an intelligent contract form, receives requests sent by the contracting party and the contracting party, and responds to information sent by intelligent contracts of the contracting party, the contracting party and a crowdsourcing task; the above-mentionedIntelligent contract of crowdsourcing platformThe method comprises the following steps:
1) storing all crowdsourcing task information released by all packet senders;
2) saving the deposit which is required to be saved in advance by the packet issuing party in the task release, and only triggering the reward of the packet receiving party by the packet issuing party;
3) storing the corresponding relation between the packet receiver and the crowdsourcing task;
4) an arbitration function is provided when the recipient fails to verify the award distributed by the issuer.
5. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 4, wherein: the crowdsourcing platform intelligent contract stores a deposit submitted by the contracting party during registration, and when receiving a reward o from the contracting party to the contracting party, a random number m is selected to generate a reward mo with a mask, so that the relation between the uploaded data d of the contracting party and the obtained reward o is protected, and the contracting party cannot forge reward data by using a generation model;
if the crowdsourcing platform receives an arbitration message submitted by a contracting party, the crowdsourcing platform firstly verifies a zero knowledge certificate Π by using a verification key vk, and if the zero knowledge certificate Π is invalid, the crowdsourcing platform carries out corresponding reward o to the contracting party.
6. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 1, wherein: the describedIntelligent contract for crowdsourcing tasksThe method comprises the following steps:
1) saving and updating crowd-sourced task state information: the method comprises the following steps of describing tasks, crowdsourcing the number of current required packet receivers of the tasks, encrypting an asymmetric public key of a solution, and adding and updating the number of the current required packet receivers in the packet receivers;
2) triggering a crowdsourcing platform intelligent contract according to the data quality provided by the contracting party to reward the corresponding crowdsourcing task contracting party; and saves the zero knowledge proof pi and the verification key vk generated in step S13.
7. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 6, wherein: the above-mentionedThe execution step of the crowdsourcing task intelligent contract comprises the following steps:
1) after being created by the contracting party, if the joining information of the contracting party is received and if a crowdsourcing party is needed, the contracting party information is saved in a registry,
2) after receiving data ed uploaded by a contracting party in a registry, the crowdsourcing task intelligent contract saves corresponding information and informs the contracting party that the data is uploaded;
3) after receiving the zero knowledge proof Π, the verification key vk and the reward o of the subcontracting party sent by the subcontracting party, the task intelligent contract saves the zero knowledge proof Π and the verification key vk and triggers the crowdsourcing platform to carry out corresponding reward o on the subcontracting party.
8. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 5, wherein: the zero knowledge proof pi is used to prove that:
1) the private key sk used for decryption and the public key pk used for encryption are a legal asymmetric key pair;
2) the data d used by the packet sender for data quality evaluation is obtained by decrypting the uploaded data ed by the private key sk;
3) the data quality qd is calculated by a task intelligent contract quality function f; and the crowdsourcing platform stores the zero knowledge proof Π and the verification key vk into a task intelligent contract and rewards the task intelligent contract according to the data quality qd.
9. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 6, wherein: the crowdsourcing task intelligent contract is issued by a contracting party in a crowdsourcing task, and can only be changed by the contracting party, and in the life cycle process of the contract, the crowdsourcing task intelligent contract specifically comprises the following steps:
step 301, the crowdsourcing task intelligent contract receives a task adding request from a packet receiver, if the number of the remaining packet receivers is 0, step 305 is performed, otherwise, step 302 is performed;
step 302, the crowdsourcing task intelligent contract adds a receiver sending a request to a registry;
step 303, the crowdsourcing task intelligent contract receives data uploaded by a contracting party, if the contracting party uploads the data and is not in a registry or has uploaded the data, step 305 is performed, otherwise step 304 is performed;
304, the crowdsourcing task intelligent contract saves the data uploaded by the contracting party, records the corresponding relation between the contracting party and the uploaded data, and informs the contracting party that new data arrives;
at step 305, the process ends.
10. The blockchain crowdsourcing platform design and implementation method for guaranteeing transaction fairness and data privacy as claimed in claim 1, wherein: the implementation of the crowdsourcing platform comprises the following steps:
step 101, initializing the crowdsourcing platform;
102, the crowdsourcing platform receives the registration of a packet sender or a packet receiver, if the node is the packet sender, the step 103 is carried out, otherwise, the step 107 is carried out;
103, the crowdsourcing platform saves the task intelligent contract address issued by the contracting party and saves the task deposit submitted by the contracting party;
104, the crowdsourcing platform receives reward information of a packet receiver sent by the packet sender, rewards the packet receiver by using deposit submitted by the packet sender, if the packet receiver finishes the last crowdsourcing task, the step 105 is carried out, otherwise, the step 106 is carried out;
step 105, the crowdsourcing platform selects a random number m _ n, calculates an award mr _ n-m _ n + o _ n satisfying a condition mr _1+ … + mr _ n-o _1+ … + o _ n, distributes the award mr _ n to the receiving party, wherein o _1, … and o _ n are awards that the receiving party should obtain to complete a crowdsourcing task 1, … and n, and performs step 110;
step 106, the packet receiver completes the ith task, wherein i is more than or equal to 1 and is less than n, the crowdsourcing platform selects a random number m _ i, artificially sends an incentive of mr _ i-m _ i + o _ i to crowdsourcing, and then step 110 is performed;
step 107, the crowdsourcing platform saves the registration information of the packet receiver and saves the relation between the address of the packet receiver and the number m of tasks needing to participate;
step 108, the crowdsourcing platform receives the request of the crowdsourcing party for participating in the crowdsourcing task, adds the address information of the crowdsourcing party to the corresponding crowdsourcing task address, and updates the information of the number of the rest people of the crowdsourcing task;
step 109, receiving the request for the packet receiving party to evaluate the data quality incorrectly, verifying by using a verification key, and if the result is true, distributing a corresponding crowdsourcing task to reward the packet receiving party;
at step 110, the process ends.
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| CN116664230A (en) * | 2023-05-23 | 2023-08-29 | 北京智慧大王科技有限公司 | Technical transaction recommendation system and method for AI big data |
| CN116664230B (en) * | 2023-05-23 | 2024-05-24 | 易点生活电子商务有限公司 | Technical transaction recommendation system and method for AI big data |
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| CN116664230A (en) * | 2023-05-23 | 2023-08-29 | 北京智慧大王科技有限公司 | Technical transaction recommendation system and method for AI big data |
| CN116664230B (en) * | 2023-05-23 | 2024-05-24 | 易点生活电子商务有限公司 | Technical transaction recommendation system and method for AI big data |
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