CN112766965A - Privacy protection data sharing method based on intelligent contract - Google Patents

Privacy protection data sharing method based on intelligent contract Download PDF

Info

Publication number
CN112766965A
CN112766965A CN202110096249.7A CN202110096249A CN112766965A CN 112766965 A CN112766965 A CN 112766965A CN 202110096249 A CN202110096249 A CN 202110096249A CN 112766965 A CN112766965 A CN 112766965A
Authority
CN
China
Prior art keywords
data
intelligent contract
arbitration
buyer
purchaser
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110096249.7A
Other languages
Chinese (zh)
Other versions
CN112766965B (en
Inventor
王劲松
杨淼
赵泽宁
张洪玮
卜超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin University of Technology
Original Assignee
Tianjin University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin University of Technology filed Critical Tianjin University of Technology
Priority to CN202110096249.7A priority Critical patent/CN112766965B/en
Publication of CN112766965A publication Critical patent/CN112766965A/en
Application granted granted Critical
Publication of CN112766965B publication Critical patent/CN112766965B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/382Payment protocols; Details thereof insuring higher security of transaction
    • G06Q20/3829Payment protocols; Details thereof insuring higher security of transaction involving key management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245Protecting personal data, e.g. for financial or medical purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/64Protecting data integrity, e.g. using checksums, certificates or signatures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/382Payment protocols; Details thereof insuring higher security of transaction
    • G06Q20/3825Use of electronic signatures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/382Payment protocols; Details thereof insuring higher security of transaction
    • G06Q20/3827Use of message hashing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401Transaction verification
    • G06Q20/4014Identity check for transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2151Time stamp

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Finance (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • Bioethics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A privacy protection data sharing method based on an intelligent contract. It includes initializing a blockchain network; identity verification based on the intelligent contract; paying transaction fees and a deposit to the smart contract; the data buyer downloads the required data from the data storage service provider; data downloading result supervision based on the intelligent contract; initiating an arbitration request and an arbitration process; and settling the fee based on the intelligent contract. The invention has the following effects: the data buyer accesses the data storage service provider from outside the chain through the unique token, and only authorized data buyers can download data through TLS, so that the data storage service provider has good safety; the intelligent contract is tamper-proof and traceable, and the operation information of all entities in the data transaction process is completely recorded, so that the intelligent contract has good integrity; a challenge access mechanism to the data owner may prevent the data owner from dishonest behavior. The identity authentication and authorization when the data buyer downloads the data can prevent the dishonest behavior of the data buyer.

Description

Privacy protection data sharing method based on intelligent contract
Technical Field
The invention belongs to the technical field of a block chain consensus protocol, and particularly relates to a privacy protection data sharing method based on an intelligent contract.
Background
With the advent of the big data era, sharing and trading of data have become necessary requirements of markets, and some third-party big data trading centers have come to the fore and then provide an interconnected platform for data owners and data buyers. However, the non-unique nature of data renders it without explicit ownership constraints, meaning that once the data is seen, ownership of the data is owned, and data replication is also indifferent. Therefore, it is crucial that the data exchange center cannot retain data when the data owner exchanges data through the data exchange center.
The traditional data sharing scheme includes an account book type data sharing method and a contract type data sharing method:
(1) the account book type data sharing method comprises the following steps: at present, most of data sharing based on intelligent contracts adopts an account book type data sharing method, a data purchaser and a data owner directly carry out data transaction, and a data service party generates a transaction record and sends the transaction record to the intelligent contract for storage and verification.
(2) The contract type data sharing method comprises the following steps: the data buyer and the data owner form a alliance chain, the whole transaction process of both data transaction parties occurs on an intelligent contract, and the intelligent contract identifies and records the request of the data buyer and the reply data of the data owner.
Conventional third-party data trading centers, although having no reason to retain data based on trustworthiness, have the ability to retain data, which makes data owners fear to share data for trading. And the centralized platform is easy to have single-point failure and generate unfair parallel during arbitration so as to breed corruption. In addition, the centralized platform also relies on trusted third party payments, which makes payments unreliable and untrustworthy.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a privacy-preserving data sharing method based on an intelligent contract.
In order to achieve the above purpose, the privacy protection data sharing method based on the intelligent contract provided by the invention comprises the following steps in sequence:
1) initializing a blockchain network: the data transaction center creates an intelligent contract for data transaction, and all entities participating in the transaction need to agree with conditions and terms of the intelligent contract; all entities involved in the transaction check the conditions and terms of the intelligent contract using the hash value provided by the intelligent contract, the hash value hSCGenerated from the raw data D of the conditions and terms of the smart contract, namely:
hSC=Base58(multihash(SHA256(D)));
2) identity verification based on intelligent contracts: after receiving the data requirement of the data purchaser, the data purchaser responds to the data purchaser through the blockchain address, and the data purchaser verifies the authenticity of the data owner on the ownership of the data resource and the authenticity of the identity of the blockchain address owner through an intelligent contract and a challenge response mechanism;
3) paying transaction fees and margins to smart contracts: after the data buyer and the data owner reach the agreement on the terms and conditions of the intelligent contract, the data buyer sends a purchase request to the intelligent contract and pays the transaction cost for purchasing the required data, and the data owner pays the guarantee money with the same value to the intelligent contract; if the data owner does not pay the deposit in the corresponding time, the data buyer can apply for refund;
4) the data buyer downloads the required data from the data storage service provider: downloading data from a data storage service provider storing data owner data by a data buyer using a unique token generated by a smart contract; the token: is the blockchain address a of the data purchaserPBlock chain address a of data ownerOBlock chain address a of data transaction centerCOf data resourcesHash hdataBlock time stamp tblockAnd token validity vtokenTo determine, i.e.:
token=keccak256(aP,aO,aC,hdata,tblock,vtoken);
5) data download result supervision based on intelligent contracts: after the data buyer downloads data from the data storage service provider, the intelligent dating supervision data buyer, the data owner and the data storage service provider unify the downloading result feedback messages; the intelligent dating server determines whether to initiate arbitration according to the feedback message;
6) initiating an arbitration request and arbitration process: if the data buyer declares that the data can not be downloaded successfully, the intelligent dating and appointment device enables an arbitration mechanism to conduct arbitration; if the data buyer is satisfied with the downloaded data availability, the intelligent contract directly settles the fee; if the data buyer is not satisfied with the downloaded data availability, the intelligent contract date gives the arbitration mechanism to arbitrate;
7) and (3) settlement of expenses based on the intelligent contract: if the data buyer can successfully download the data and the data availability is satisfied, the intelligent contract can directly settle the fee; if the data buyer can not download the data successfully or the downloaded data is not satisfied, the intelligent contract will automatically make payment of arbitration fee and settlement of fee of other participating transaction entity according to arbitration result.
In step 2), the specific method of the data buyer's challenge response mechanism to the data owner is as follows:
201) the data owner DO uses its own blockchain address aODeclare to the data buyer DP that he has data;
202) in order to verify the authenticity of the identity of the data owner DO, the data purchaser DP sends an arbitrary message I to the data owner DO and requests the data owner DO to sign it;
203) the data owner DO uses its block chain address aOAnd a private key kOSigning the information I to generate a signature message S, namely:
S=Sign(aO,kO,I);
204) the data purchaser DP verifies the signature message S after receiving it.
In step 3), the specific method for paying the transaction fee and the deposit to the intelligent contract is as follows:
301) the data purchaser DP pays a transaction fee p for purchasing data to the smart contract SCP
302) Data purchaser DP sets transaction time t1
303) The data owner DO at time t ≦ t1Paying the guarantee fund deposit with the same value to the intelligent contract SC;
304) if t > t1The data buyer DP may initiate a refund request to the smart contract SC;
305) if t is less than or equal to t1The data purchaser DP may download data from the data storage service provider DSSP.
In step 4), the specific method for downloading the required data from the data storage service provider by the data buyer is as follows:
401) the intelligent contract SC generates a unique token and sends the unique token to the data buyer DP;
402) the data purchaser DP sends a verification message to the data storage service provider DSSP, passing the data purchaser's signature kPTo connect, namely:
DP Signed(DP Msg DSSP)=kP(Hash(DP Msg DSSP));
the content of the transmitted verification message is a token of the data buyer, and the block chain address a of the data buyerPTime stamp t of data purchaserPData purchaser's internet protocol address aIPAnd a blockchain address a of the data storage service providerSNamely:
DP Msg DSSP=Msg(token,aP,tP,aIP,aS);
403) the data storage service provider DSSP completes the identity verification of the data buyer DP and replies a message with the signature k of the data storage service providerSConnecting, namely:
DSSP Signed(DSSP Msg DP)=kS(Hash DSSP Msg DP));
the replied message content is the internet protocol address a of the data service storage providerISTime stamp t of data storage service providerSIntelligent contract address a of data storage service providerSAnd a blockchain address a of the data purchaserPNamely:
DSSP Msg DP=Msg(aIS,tS,aS,aP);
404) after the identity authentication of the two parties is completed, the data buyer DP uses a security transport layer protocol TLS to download the data.
In step 5), the specific method for supervising the data downloading result based on the intelligent contract is as follows:
501) the data storage service provider DSSP and the data buyer DP send feedback information of the data downloading result to the intelligent contract SC;
502) the intelligent contract SC sends the feedback message received from the data buyer DP to the data owner DO and the arbitration mechanism ABR;
503) the intelligent contract SC decides whether and what type of arbitration is to be initiated by the arbitration mechanism based on the feedback message of the data buyer DP.
In step 6), the detailed method for initiating the arbitration request and arbitration is as follows:
601) the intelligent contract SC identifies the feedback message;
602) judging whether the data downloading of the data buyer DP is successful, if the data downloading is unsuccessful, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
603) if the data download of the data buyer DP is successful, judging whether the data availability downloaded by the data buyer DP is consistent with the description, if not, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
604) and if the data availability downloaded by the data buyer DP is consistent with the description, carrying out fee settlement.
In step 602), it is determined whether the data download of the data buyer DP is successful, and if the download is unsuccessful, the specific method for the intelligent contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60201) If the data downloading of the data buyer DP is unsuccessful, the intelligent contract SC initiates data downloading arbitration to an arbitration mechanism ABR;
60202) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60203) If the data downloading of the arbitration mechanism ABR is successful, the fee settlement is carried out;
60204) If the data download of the arbitration mechanism ABR fails, the data purchaser DP and the data owner DO will obtain the transaction fee for purchasing the data and the refund of the deposit fee, respectively.
In step 603), it is determined whether the data availability downloaded by the data buyer DP matches the description, and if not, the specific method for the smart contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60301) If the data availability downloaded by the data buyer DP is not consistent with the description, the intelligent contract SC initiates data availability arbitration to an arbitration mechanism ABR;
60302) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60303) The arbitration mechanism ABR utilizes similarity learning to carry out availability check on the downloaded data;
60304) If the arbitration result of the arbitration mechanism ABR is that the data availability is consistent with the description, the fee settlement is carried out;
60305) If the arbitration result of the arbitration mechanism ABR is that the data availability does not conform to the description, the data purchaser DP will obtain the refund of the transaction fee for purchasing the data and the refund of the guarantee fee paid by the data owner.
In step 60303), the method for learning similarity specifically includes:
Xi∈Nmdenotes an actual feature vector, m denotes the number of feature vectors, and X ═ X1,X2,...,XnRepresents a sample set of actual data feature points; y isi∈NmA representation of the feature vector of the declarative data,m represents the number of feature vectors, Y ═ Y1,Y2,...,YnRepresents a sample set of declared data feature points;
and (3) an actual feature vector X, declaring that the Mahalanobis distance of the sample set Y of the data feature points is as follows:
Figure BDA0002914320160000071
m is a parameter matrix of distance measurement;
when the metric learning task is more, the metric learning algorithm can be popularized to the multi-task metric learning,
Figure BDA0002914320160000072
a particular regularization term of
Figure BDA0002914320160000073
Wherein T ∈ N, T ═ 0tControl MtF denotes the Frobenius standard, the square root of the sum of squares of the absolute values of the matrix.
In step 7), the specific method for settling the fee is as follows:
701) if the data purchaser DP is satisfied with the downloaded data, the data owner's profit rOA partial transaction fee p for the purchase data paid by the margin and the data purchaser for the refund of the smart contract SCPI.e. by
Figure BDA0002914320160000074
Wherein size is the size of the downloaded data; revenue r for data storage service providerSAnd the profit r of the data trading centerCTransaction fee p for purchasing data paid by data purchaserPAnd the size of the downloaded data is determined as
Figure BDA0002914320160000075
702) Arbitration fee r if data download of arbitration mechanism ABR is successfulBBy data purchasers DP, i.e.
Figure BDA0002914320160000076
Wherein t isBIs the arbitration time; data owner's revenue rOThe portion of the transaction fee for the deposit paid for and the purchase data paid by the data purchaser, i.e.
Figure BDA0002914320160000077
The data storage service provider DSSP and the data transaction center DTC will also receive corresponding revenue, i.e.
Figure BDA0002914320160000078
703) Arbitration fee r if data download of arbitration mechanism ABR is unsuccessfulBPaid by the data owner DO, i.e.
Figure BDA0002914320160000079
The data purchaser DP refunds the transaction fee for obtaining the purchase data and a partial deposit paid by the data purchaser, i.e.
Figure BDA0002914320160000081
704) If the result of the arbitration by the arbitration mechanism ABR is that the data availability corresponds to the description, the arbitration fee rBBy data purchasers DP, i.e.
Figure BDA0002914320160000082
The benefit of the data owner DO is the deposit paid for it and the partial transaction fee of the purchase data paid by the data purchaser, i.e.
Figure BDA0002914320160000083
The data storage service provider DSSP and the data transaction center DTC will receive corresponding revenue, i.e.
Figure BDA0002914320160000084
705) If the arbitration result of the arbitration mechanism ABR is that the data availability and the description are not consistent, the arbitration fee rBPaid by the data owner DO, i.e.
Figure BDA0002914320160000085
The data purchaser DP refunds the transaction fee for obtaining the purchase data and a partial deposit paid by the data purchaser, i.e.
Figure BDA0002914320160000086
The privacy protection data sharing method based on the intelligent contract has the advantages that:
the data buyer accesses the data storage service provider from outside the chain through the unique token, and only authorized data buyers can download data through TLS, so that the data storage service provider has good safety; (2) the intelligent contract is tamper-proof and traceable, and the operation information of all entities in the data transaction process is completely recorded, so that the intelligent contract has good integrity; (3) a challenge access mechanism to the data owner may prevent dishonest behavior of the data owner. The identity authentication and authorization of the data purchaser when downloading the data can prevent dishonest behavior of the data purchaser. Based on the method, the credibility is good; (4) the data transaction center only needs to establish the intelligent contract or disable the intelligent contract according to the protocol of the intelligent contract, and the data transaction center is very convenient to join or leave the system, and has good flexibility as well as other participating entities.
Drawings
Fig. 1 is a flowchart of a privacy-preserving data sharing method based on an intelligent contract according to the present invention.
Fig. 2 is a flow chart of identity verification based on smart contracts.
FIG. 3 is a flow chart of payment of transaction fees and margins to smart contracts.
Fig. 4 is a flow chart of data required by a data purchaser to download to a data storage service provider.
Fig. 5 is a flow chart of data download result supervision based on smart contracts.
FIG. 6 is a flow chart of the process of initiating an arbitration request and arbitrating.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the privacy-preserving data sharing method based on the intelligent contract provided by the invention comprises the following steps in sequence:
1) initializing a blockchain network: the data transaction center creates an intelligent contract for data transaction, and all entities participating in the transaction need to agree with conditions and terms of the intelligent contract; all entities involved in the transaction check the conditions and terms of the intelligent contract using the hash value provided by the intelligent contract, the hash value hSCGenerated from the raw data D of the conditions and terms of the smart contract, namely:
hSC=Base58(multihash(SHA256(D)));
2) identity verification based on intelligent contracts: after receiving the data requirement of the data purchaser, the data purchaser responds to the data purchaser through the blockchain address, and the data purchaser verifies the authenticity of the data owner on the ownership of the data resource and the authenticity of the identity of the blockchain address owner through an intelligent contract and a challenge response mechanism;
3) paying transaction fees and margins to smart contracts: after the data buyer and the data owner reach the agreement on the terms and conditions of the intelligent contract, the data buyer sends a purchase request to the intelligent contract and pays the transaction cost for purchasing the required data, and the data owner pays the guarantee money with the same value to the intelligent contract; if the data owner does not pay the deposit in the corresponding time, the data buyer can apply for refund;
4) the data buyer downloads the required data from the data storage service provider: downloading data from a data storage service provider storing data owner data by a data buyer using a unique token generated by a smart contract; because of the high storage cost of the intelligent contract, the intelligent contract is only used for storing the hash value generated by the data storage service provider for the storage file and purchasing dataThe data is actually downloaded in an out-of-chain manner. The token: is the blockchain address a of the data purchaserPBlock chain address a of data ownerOBlock chain address a of data transaction centerCHash h of data resourcedataBlock time stamp tblockAnd token validity vtokenTo determine, i.e.:
token=keccak256(aP,aO,aC,hdata,tblock,vtoken)。
5) data download result supervision based on intelligent contracts: after the data buyer downloads data from the data storage service provider, the intelligent dating supervision data buyer, the data owner and the data storage service provider unify the downloading result feedback messages; the intelligent dating server determines whether to initiate arbitration according to the feedback message;
6) initiating an arbitration request and arbitration process: if the data buyer declares that the data can not be downloaded successfully, the intelligent dating and appointment device enables an arbitration mechanism to conduct arbitration; if the data buyer is satisfied with the downloaded data availability, the intelligent contract directly settles the fee; if the data buyer is not satisfied with the downloaded data availability, the intelligent contract date gives the arbitration mechanism to arbitrate;
7) and (3) settlement of expenses based on the intelligent contract: if the data buyer can successfully download the data and the data availability is satisfied, the intelligent contract can directly settle the fee; if the data buyer can not download the data successfully or the downloaded data is not satisfied, the intelligent contract will automatically make payment of arbitration fee and settlement of fee of other participating transaction entity according to arbitration result.
As shown in fig. 2, in step 2), the specific method of the data buyer's challenge response mechanism to the data owner is as follows:
201) the data owner DO uses its own blockchain address aODeclare to the data buyer DP that he has data;
202) in order to verify the authenticity of the identity of the data owner DO, the data purchaser DP sends an arbitrary message I to the data owner DO and requests the data owner DO to sign it;
203) the data owner DO uses its block chain address aOAnd a private key kOSigning the information I to generate a signature message S, namely:
S=Sign(aO,kO,I);
204) the data purchaser DP verifies the signature message S after receiving it.
As shown in fig. 3, in step 3), the specific method for paying the transaction fee and the deposit to the smart contract is as follows:
301) the data purchaser DP pays a transaction fee p for purchasing data to the smart contract SCP
302) Data purchaser DP sets transaction time t1
303) The data owner DO at time t ≦ t1Paying the guarantee fund deposit with the same value to the intelligent contract SC;
304) if t > t1The data buyer DP may initiate a refund request to the smart contract SC;
305) if t is less than or equal to t1The data purchaser DP may download data from the data storage service provider DSSP.
As shown in fig. 4, in step 4), the specific method for downloading the required data from the data storage service provider by the data buyer is as follows:
401) the intelligent contract SC generates a unique token and sends the unique token to the data buyer DP;
402) the data purchaser DP sends a verification message to the data storage service provider DSSP, passing the data purchaser's signature kPTo connect, namely:
DP Signed(DP Msg DSSP)=kP(Hash(DP Msg DSSP));
the content of the transmitted verification message is a token of the data buyer, and the block chain address a of the data buyerPTime stamp t of data purchaserPData purchaser's internet protocol address aIPAnd a blockchain address a of the data storage service providerSNamely:
DP Msg DSSP=Msg(token,aP,tP,aIP,aS);
403) the data storage service provider DSSP completes the identity verification of the data buyer DP and replies a message with the signature k of the data storage service providerSConnecting, namely:
DSSP Signed(DSSP Msg DP)=kS(Hash DSSP Msg DP));
the replied message content is the internet protocol address a of the data service storage providerISTime stamp t of data storage service providerSIntelligent contract address a of data storage service providerSAnd a blockchain address a of the data purchaserPNamely:
DSSP Msg DP=Msg(aIS,tS,aS,aP);
404) after the identity authentication of the two parties is completed, the data buyer DP uses a security transport layer protocol TLS to download the data.
As shown in fig. 5, in step 5), the specific method for supervising the data download result based on the intelligent contract is as follows:
501) the data storage service provider DSSP and the data buyer DP send feedback information of the data downloading result to the intelligent contract SC;
502) the intelligent contract SC sends the feedback message received from the data buyer DP to the data owner DO and the arbitration mechanism ABR;
503) the intelligent contract SC decides whether and what type of arbitration is to be initiated by the arbitration mechanism based on the feedback message of the data buyer DP.
As shown in fig. 6, in step 6), the detailed method for initiating the arbitration request and arbitration is as follows:
601) the intelligent contract SC identifies the feedback message;
602) judging whether the data downloading of the data buyer DP is successful, if the data downloading is unsuccessful, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
603) if the data download of the data buyer DP is successful, judging whether the data availability downloaded by the data buyer DP is consistent with the description, if not, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
604) and if the data availability downloaded by the data buyer DP is consistent with the description, carrying out fee settlement.
In step 602), it is determined whether the data download of the data buyer DP is successful, and if the download is unsuccessful, the specific method for the intelligent contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60201) If the data downloading of the data buyer DP is unsuccessful, the intelligent contract SC initiates data downloading arbitration to an arbitration mechanism ABR;
60202) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60203) If the data downloading of the arbitration mechanism ABR is successful, the fee settlement is carried out;
60204) If the data download of the arbitration mechanism ABR fails, the data buyer DP and the data owner DO respectively obtain the transaction fee of the purchase data and the refund of the payment guarantee fee;
in step 603), it is determined whether the data availability downloaded by the data buyer DP matches the description, and if not, the specific method for the smart contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60301) If the data availability downloaded by the data buyer DP is not consistent with the description, the intelligent contract SC initiates data availability arbitration to an arbitration mechanism ABR;
60302) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60303) The arbitration mechanism ABR utilizes similarity learning to carry out availability check on the downloaded data;
60304) If the arbitration result of the arbitration mechanism ABR is that the data availability is consistent with the description, the fee settlement is carried out;
60305) If the arbitration result of the arbitration mechanism ABR is that the data availability does not conform to the description, the data purchaser DP will obtain the refund of the transaction fee for purchasing the data and the refund of the guarantee fee paid by the data owner.
In step 60303), the method for learning similarity specifically includes:
Xi∈Nmdenotes an actual feature vector, m denotes the number of feature vectors, and X ═ X1,X2,...,XnRepresents a sample set of actual data feature points. Y isi∈NmDenotes a declaration data feature vector, m denotes the number of feature vectors, and Y ═ Y1,Y2,...,YnDenotes a sample set of declared data feature points.
And (3) an actual feature vector X, declaring that the Mahalanobis distance of the sample set Y of the data feature points is as follows:
Figure BDA0002914320160000141
m is a parameter matrix of distance measurement, and the similarity between the actual feature and the declared feature is calculated by using distance measurement learning.
In addition, when the metric learning task is more, the metric learning algorithm can be popularized to the multi-task metric learning,
Figure BDA0002914320160000142
a particular regularization term of
Figure BDA0002914320160000143
Wherein T ∈ N, T ═ 0tControl MtF denotes the Frobenius standard, the square root of the sum of squares of the absolute values of the matrix.
In step 7), the specific method for settling the fee is as follows:
arbitration cost rBBy arbitration time tBTransaction fee p for downloaded dataPOr the guaranteed fund deposing of the data owner and the size of the downloaded data resource and rB≥pP. Revenue r for data storage service providerSAnd the profit r of the data trading centerCBy the price p of the downloaded data resourcePAnd size of the downloaded data.
701) If the data purchaser DP is satisfied with the downloaded data, the data owner's profit rOA partial transaction fee p for the purchase data paid by the margin and the data purchaser for the refund of the smart contract SCPI.e. by
Figure BDA0002914320160000151
Wherein size is the size of the downloaded data; revenue r for data storage service providerSAnd the profit r of the data trading centerCTransaction fee p for purchasing data paid by data purchaserPAnd the size of the downloaded data is determined as
Figure BDA0002914320160000152
702) Arbitration fee r if data download of arbitration mechanism ABR is successfulBBy data purchasers DP, i.e.
Figure BDA0002914320160000153
Wherein t isBIs the arbitration time; data owner's revenue rOThe portion of the transaction fee for the deposit paid for and the purchase data paid by the data purchaser, i.e.
Figure BDA0002914320160000154
The data storage service provider DSSP and the data transaction center DTC will also receive corresponding revenue, i.e.
Figure BDA0002914320160000155
703) Arbitration fee r if data download of arbitration mechanism ABR is unsuccessfulBPaid by the data owner DO, i.e.
Figure BDA0002914320160000156
A data purchaser DP refunds transaction fees for obtaining purchase data and pays the data purchaserWith a guaranteed gold, i.e.
Figure BDA0002914320160000157
704) If the result of the arbitration by the arbitration mechanism ABR is that the data availability corresponds to the description, the arbitration fee rBBy data purchasers DP, i.e.
Figure BDA0002914320160000158
The benefit of the data owner DO is the deposit paid for it and the partial transaction fee of the purchase data paid by the data purchaser, i.e.
Figure BDA0002914320160000159
The data storage service provider DSSP and the data transaction center DTC will receive corresponding revenue, i.e.
Figure BDA00029143201600001510
705) If the arbitration result of the arbitration mechanism ABR is that the data availability and the description are not consistent, the arbitration fee rBPaid by the data owner DO, i.e.
Figure BDA00029143201600001511
The data purchaser DP refunds the transaction fee for obtaining the purchase data and a partial deposit paid by the data purchaser, i.e.
Figure BDA00029143201600001512

Claims (10)

1. A privacy protection data sharing method based on intelligent contracts is characterized in that: the privacy protection data sharing method based on the intelligent contract comprises the following steps in sequence:
1) initializing a blockchain network: the data transaction center creates an intelligent contract for data transaction, and all entities participating in the transaction need to agree with conditions and terms of the intelligent contract; all entities involved in the transaction check the conditions and terms of the intelligent contract using the hash value provided by the intelligent contract, the hash value hSCGenerated from the raw data D of the conditions and terms of the smart contract, namely:
hSC=Base58(multihash(SHA256(D)));
2) identity verification based on intelligent contracts: after receiving the data requirement of the data purchaser, the data purchaser responds to the data purchaser through the blockchain address, and the data purchaser verifies the authenticity of the data owner on the ownership of the data resource and the authenticity of the identity of the blockchain address owner through an intelligent contract and a challenge response mechanism;
3) paying transaction fees and margins to smart contracts: after the data buyer and the data owner reach the agreement on the terms and conditions of the intelligent contract, the data buyer sends a purchase request to the intelligent contract and pays the transaction cost for purchasing the required data, and the data owner pays the guarantee money with the same value to the intelligent contract; if the data owner does not pay the deposit in the corresponding time, the data buyer can apply for refund;
4) the data buyer downloads the required data from the data storage service provider: downloading data from a data storage service provider storing data owner data by a data buyer using a unique token generated by a smart contract; the token is the block chain address a of the data buyerPBlock chain address a of data ownerOBlock chain address a of data transaction centerCHash h of data resourcedataBlock time stamp tblockAnd token validity vtokenTo determine, i.e.:
token=keccak256(aP,aO,aC,hdata,tblock,vtoken);
5) data download result supervision based on intelligent contracts: after the data buyer downloads data from the data storage service provider, the intelligent dating supervision data buyer, the data owner and the data storage service provider unify the downloading result feedback messages; the intelligent dating server determines whether to initiate arbitration according to the feedback message;
6) initiating an arbitration request and arbitration process: if the data buyer declares that the data can not be downloaded successfully, the intelligent dating and appointment device enables an arbitration mechanism to conduct arbitration; if the data buyer is satisfied with the downloaded data availability, the intelligent contract directly settles the fee; if the data buyer is not satisfied with the downloaded data availability, the intelligent contract date gives the arbitration mechanism to arbitrate;
7) and (3) settlement of expenses based on the intelligent contract: if the data buyer can successfully download the data and the data availability is satisfied, the intelligent contract can directly settle the fee; if the data buyer can not download the data successfully or the downloaded data is not satisfied, the intelligent contract will automatically make payment of arbitration fee and settlement of fee of other participating transaction entity according to arbitration result.
2. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 2), the specific method of the data buyer's challenge response mechanism to the data owner is as follows:
201) the data owner DO uses its own blockchain address aODeclare to the data buyer DP that he has data;
202) in order to verify the authenticity of the identity of the data owner DO, the data purchaser DP sends an arbitrary message I to the data owner DO and requests the data owner DO to sign it;
203) the data owner DO uses its block chain address aOAnd a private key kOSigning the information I to generate a signature message S, namely:
S=Sign(aO,kO,I);
204) the data purchaser DP verifies the signature message S after receiving it.
3. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 3), the specific method for paying the transaction fee and the deposit to the intelligent contract is as follows:
301) the data purchaser DP pays a transaction fee p for purchasing data to the smart contract SCP
302) Data purchaser DP setting transaction timet1
303) The data owner DO at time t ≦ t1Paying the guarantee fund deposit with the same value to the intelligent contract SC;
304) if t > t1The data buyer DP may initiate a refund request to the smart contract SC;
305) if t is less than or equal to t1The data purchaser DP may download data from the data storage service provider DSSP.
4. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 4), the specific method for downloading the required data from the data storage service provider by the data buyer is as follows:
401) the intelligent contract SC generates a unique token and sends the unique token to the data buyer DP;
402) the data purchaser DP sends a verification message to the data storage service provider DSSP, passing the data purchaser's signature kPTo connect, namely:
DPSigned(DPMsgDSSP)=kP(Hash(DPMsgDSSP));
the content of the transmitted verification message is a token of the data buyer, and the block chain address a of the data buyerPTime stamp t of data purchaserPData purchaser's internet protocol address aIPAnd a blockchain address a of the data storage service providerSNamely:
DPMsg DSSP=Msg(token,aP,tP,aIP,aS);
403) the data storage service provider DSSP completes the identity verification of the data buyer DP and replies a message with the signature k of the data storage service providerSConnecting, namely:
DSSPSigned(DSSPMsgDP)=kS(Hash DSSPMsgDP));
the replied message content is the internet protocol address a of the data service storage providerISTime stamp t of data storage service providerSIntelligent contract address a of data storage service providerSAnd a blockchain address a of the data purchaserPNamely:
DSSPMsgDP=Msg(aIS,tS,aS,aP);
404) after the identity authentication of the two parties is completed, the data buyer DP uses a security transport layer protocol TLS to download the data.
5. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 5), the specific method for supervising the data downloading result based on the intelligent contract is as follows:
501) the data storage service provider DSSP and the data buyer DP send feedback information of the data downloading result to the intelligent contract SC;
502) the intelligent contract SC sends the feedback message received from the data buyer DP to the data owner DO and the arbitration mechanism ABR;
503) the intelligent contract SC decides whether and what type of arbitration is to be initiated by the arbitration mechanism based on the feedback message of the data buyer DP.
6. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 6), the detailed method for initiating the arbitration request and arbitration is as follows:
601) the intelligent contract SC identifies the feedback message;
602) judging whether the data downloading of the data buyer DP is successful, if the data downloading is unsuccessful, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
603) if the data download of the data buyer DP is successful, judging whether the data availability downloaded by the data buyer DP is consistent with the description, if not, the intelligent contract SC initiates arbitration to an arbitration mechanism ABR;
604) and if the data availability downloaded by the data buyer DP is consistent with the description, carrying out fee settlement.
7. The intelligent contract-based privacy-preserving data sharing method of claim 6, wherein: in step 602), it is determined whether the data download of the data buyer DP is successful, and if the download is unsuccessful, the specific method for the intelligent contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60201) If the data downloading of the data buyer DP is unsuccessful, the intelligent contract SC initiates data downloading arbitration to an arbitration mechanism ABR;
60202) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60203) If the data downloading of the arbitration mechanism ABR is successful, the fee settlement is carried out;
60204) If the data download of the arbitration mechanism ABR fails, the data purchaser DP and the data owner DO will obtain the transaction fee for purchasing the data and the refund of the deposit fee, respectively.
8. The intelligent contract-based privacy-preserving data sharing method of claim 6, wherein: in step 603), it is determined whether the data availability downloaded by the data buyer DP matches the description, and if not, the specific method for the smart contract SC to initiate arbitration to the arbitration mechanism ABR is as follows:
60301) If the data availability downloaded by the data buyer DP is not consistent with the description, the intelligent contract SC initiates data availability arbitration to an arbitration mechanism ABR;
60302) Obtaining a token of a data buyer by an arbitration mechanism ABR and downloading the same data from a data storage service provider DSSP;
60303) The arbitration mechanism ABR utilizes similarity learning to carry out availability check on the downloaded data;
60304) If the arbitration result of the arbitration mechanism ABR is that the data availability is consistent with the description, the fee settlement is carried out;
60305) If the arbitration result of the arbitration mechanism ABR is that the data availability does not conform to the description, the data purchaser DP will obtain the refund of the transaction fee for purchasing the data and the refund of the guarantee fee paid by the data owner.
9. The intelligent contract-based privacy-preserving data sharing method according to claim 8, wherein: in step 60303), the method for learning similarity specifically includes:
Xi∈Nmdenotes an actual feature vector, m denotes the number of feature vectors, and X ═ X1,X2,...,XnRepresents a sample set of actual data feature points; y isi∈NmDenotes a declaration data feature vector, m denotes the number of feature vectors, and Y ═ Y1,Y2,...,YnRepresents a sample set of declared data feature points;
and (3) an actual feature vector X, declaring that the Mahalanobis distance of the sample set Y of the data feature points is as follows:
Figure FDA0002914320150000061
m is a parameter matrix of distance measurement;
when the metric learning task is more, the metric learning algorithm can be popularized to the multi-task metric learning,
Figure FDA0002914320150000062
a particular regularization term of
Figure FDA0002914320150000063
Wherein T ∈ N, T ═ 0tControl MtF denotes the Frobenius standard, the square root of the sum of squares of the absolute values of the matrix.
10. The privacy-preserving data sharing method based on the intelligent contract according to claim 1, characterized in that: in step 7), the specific method for settling the fee is as follows:
701) if the data purchaser DP is satisfied with the downloaded data, the data owner's profit rOA partial transaction fee p for the purchase data paid by the margin and the data purchaser for the refund of the smart contract SCPI.e. by
Figure FDA0002914320150000064
Wherein size is the size of the downloaded data; revenue r for data storage service providerSAnd the profit r of the data trading centerCTransaction fee p for purchasing data paid by data purchaserPAnd the size of the downloaded data is determined as
Figure FDA0002914320150000065
702) Arbitration fee r if data download of arbitration mechanism ABR is successfulBBy data purchasers DP, i.e.
Figure FDA0002914320150000071
Wherein t isBIs the arbitration time; data owner's revenue rOThe portion of the transaction fee for the deposit paid for and the purchase data paid by the data purchaser, i.e.
Figure FDA0002914320150000072
The data storage service provider DSSP and the data transaction center DTC will also receive corresponding revenue, i.e.
Figure FDA0002914320150000073
703) Arbitration fee r if data download of arbitration mechanism ABR is unsuccessfulBPaid by the data owner DO, i.e.
Figure FDA0002914320150000074
The data purchaser DP refunds the transaction fee for obtaining the purchase data and a partial deposit paid by the data purchaser, i.e.
Figure FDA0002914320150000075
704) If the result of the arbitration by the arbitration mechanism ABR is that the data availability corresponds to the description, the arbitration fee rBBy data purchasers DP, i.e.
Figure FDA0002914320150000076
The benefit of the data owner DO is the deposit paid for it and the partial transaction fee of the purchase data paid by the data purchaser, i.e.
Figure FDA0002914320150000077
The data storage service provider DSSP and the data transaction center DTC will receive corresponding revenue, i.e.
Figure FDA0002914320150000078
705) If the arbitration result of the arbitration mechanism ABR is that the data availability and the description are not consistent, the arbitration fee rBPaid by the data owner DO, i.e.
Figure FDA0002914320150000079
The data purchaser DP refunds the transaction fee for obtaining the purchase data and a partial deposit paid by the data purchaser, i.e.
Figure FDA00029143201500000710
CN202110096249.7A 2021-01-25 2021-01-25 Privacy protection data sharing method based on intelligent contracts Active CN112766965B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110096249.7A CN112766965B (en) 2021-01-25 2021-01-25 Privacy protection data sharing method based on intelligent contracts

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110096249.7A CN112766965B (en) 2021-01-25 2021-01-25 Privacy protection data sharing method based on intelligent contracts

Publications (2)

Publication Number Publication Date
CN112766965A true CN112766965A (en) 2021-05-07
CN112766965B CN112766965B (en) 2022-09-02

Family

ID=75707078

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110096249.7A Active CN112766965B (en) 2021-01-25 2021-01-25 Privacy protection data sharing method based on intelligent contracts

Country Status (1)

Country Link
CN (1) CN112766965B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114090932A (en) * 2021-11-03 2022-02-25 天津理工大学 Industrial Internet identification analysis method based on NFT domain name

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108389046A (en) * 2018-02-07 2018-08-10 西安交通大学 Secret protection method of commerce based on block chain technology in a kind of e-commerce
CN109326337A (en) * 2018-09-06 2019-02-12 西安电子科技大学 Electronic medical record storage and shared model and method based on block chain
CN109598616A (en) * 2018-12-09 2019-04-09 大连飞创信息技术有限公司 A method of introducing the block chain data-privacy protection of arbitration mechanism
CN109886812A (en) * 2019-02-15 2019-06-14 航天恒星科技有限公司 Data transacting system and method based on block chain
CN110928951A (en) * 2019-11-26 2020-03-27 天津理工大学 Data sharing and arbitration method based on block chain
CN110971390A (en) * 2019-11-29 2020-04-07 杭州云象网络技术有限公司 Fully homomorphic encryption method for intelligent contract privacy protection
CN111460492A (en) * 2020-03-16 2020-07-28 江苏荣泽信息科技股份有限公司 Data privacy management system based on block chain and implementation method thereof
CN111506926A (en) * 2020-03-30 2020-08-07 江苏荣泽信息科技股份有限公司 Private data sharing method based on block chain
CN111899107A (en) * 2020-08-20 2020-11-06 海南大学 Scientific and technological service transaction method based on block chain intelligent contract
CN112116475A (en) * 2020-09-22 2020-12-22 中国科学院沈阳计算技术研究所有限公司 Block chain-based distributed data transaction method and system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108389046A (en) * 2018-02-07 2018-08-10 西安交通大学 Secret protection method of commerce based on block chain technology in a kind of e-commerce
CN109326337A (en) * 2018-09-06 2019-02-12 西安电子科技大学 Electronic medical record storage and shared model and method based on block chain
CN109598616A (en) * 2018-12-09 2019-04-09 大连飞创信息技术有限公司 A method of introducing the block chain data-privacy protection of arbitration mechanism
CN109886812A (en) * 2019-02-15 2019-06-14 航天恒星科技有限公司 Data transacting system and method based on block chain
CN110928951A (en) * 2019-11-26 2020-03-27 天津理工大学 Data sharing and arbitration method based on block chain
CN110971390A (en) * 2019-11-29 2020-04-07 杭州云象网络技术有限公司 Fully homomorphic encryption method for intelligent contract privacy protection
CN111460492A (en) * 2020-03-16 2020-07-28 江苏荣泽信息科技股份有限公司 Data privacy management system based on block chain and implementation method thereof
CN111506926A (en) * 2020-03-30 2020-08-07 江苏荣泽信息科技股份有限公司 Private data sharing method based on block chain
CN111899107A (en) * 2020-08-20 2020-11-06 海南大学 Scientific and technological service transaction method based on block chain intelligent contract
CN112116475A (en) * 2020-09-22 2020-12-22 中国科学院沈阳计算技术研究所有限公司 Block chain-based distributed data transaction method and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张洪玮,等: ""面向区块链交易可视分析的地址增量聚类方法"", 《计算机工程》 *
王瑞锦,等: ""基于环签名的医疗区块链隐私数据共享模型"", 《电子科技大学学报》 *
郭乃网,等: ""基于区块链的隐私保护数据共享"", 《通信技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114090932A (en) * 2021-11-03 2022-02-25 天津理工大学 Industrial Internet identification analysis method based on NFT domain name
CN114090932B (en) * 2021-11-03 2024-04-12 天津理工大学 Industrial Internet identification analysis method based on NFT domain name

Also Published As

Publication number Publication date
CN112766965B (en) 2022-09-02

Similar Documents

Publication Publication Date Title
Xiong et al. Smart contract based data trading mode using blockchain and machine learning
US11783323B1 (en) Autonomous devices
US20240144263A1 (en) Systems and Methods to Validate Transactions For Inclusion in Electronic Blockchains
US20210273810A1 (en) Debt Recordation to Blockchains
US20190354945A1 (en) Real-time buying, selling, and/or trading blockchain-based goods using traditional currency
US8626596B2 (en) Online transaction method and system using a payment platform and a logistics company
US10601774B2 (en) Domain name hi-jack prevention
Guerar et al. A fraud-resilient blockchain-based solution for invoice financing
US20190318353A1 (en) Real time data processing platform for resources on delivery interactions
JP2019160316A (en) System, method and computer program for resource equity for blockchain
US20080301055A1 (en) unified platform for reputation and secure transactions
US20150026037A1 (en) System, method and apparatus to provide a multi-channel retail layaway service using physical retail point-of-sale and on-line virtual payment systems
CN111967860A (en) Transaction system, method and node in transaction system
CN113283957B (en) Entity product transaction method based on blockchain
CN112288431A (en) Transaction method and device based on threshold signature
US20220309511A1 (en) Determining a fraud abatement approach for a potentially fraudulent exchange item
CN112766965B (en) Privacy protection data sharing method based on intelligent contracts
CN115131034A (en) Block chain-based rights and interests digital collection verification method and equipment
CN112016114B (en) Intelligent contract generating method based on cryptocurrency, related equipment and storage medium
JP2020134997A (en) Checking-up system, checking-up device, method for checking-up system, and program for checking-up system
US20200387974A1 (en) System and method for providing patent title insurance with centralized and distributed data architectures
CN116681527A (en) Digital asset transaction method, device and system based on meta-universe cultural product
CN112400298B (en) Verification transaction system and method for adding to an electronic blockchain
WO2023201359A2 (en) Method, controller, and computer readable medium for detecting expiration of a unique cryptographic identifier on a distributed transfer network
US20220084128A1 (en) System and method for providing patent title insurance with centralized and distributed data architectures

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant