CN117220947B - Blockchain-based data certification method, device, computer equipment, storage medium and program product - Google Patents
Blockchain-based data certification method, device, computer equipment, storage medium and program product Download PDFInfo
- Publication number
- CN117220947B CN117220947B CN202311183971.XA CN202311183971A CN117220947B CN 117220947 B CN117220947 B CN 117220947B CN 202311183971 A CN202311183971 A CN 202311183971A CN 117220947 B CN117220947 B CN 117220947B
- Authority
- CN
- China
- Prior art keywords
- data
- certification
- reference data
- time
- blockchain
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000012795 verification Methods 0.000 claims abstract description 82
- 238000004590 computer program Methods 0.000 claims abstract description 28
- 238000012216 screening Methods 0.000 claims description 6
- 238000013500 data storage Methods 0.000 abstract description 15
- 230000008569 process Effects 0.000 description 14
- 238000013524 data verification Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 238000009825 accumulation Methods 0.000 description 5
- 239000003999 initiator Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000004873 anchoring Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a blockchain-based data certification method, a blockchain-based data certification device, a blockchain-based data certification computer device, a blockchain-based data certification storage medium and a blockchain-based data certification computer program product. The method comprises the following steps: creating a century block of the blockchain from the historical reference data; based on the reference intelligent contract and the evidence-storing intelligent contract which are deployed on the blockchain node, generating evidence-storing transaction records according to the evidence-storing data and the real-time reference data, and writing the evidence-storing transaction records into the blockchain; responding to a verification request of the certification service terminal for certification data, analyzing real-time reference data in the certification transaction record, and obtaining certification time; acquiring reference data and public reference data on a chain according to the certification time; in the case where the in-chain reference data is verified to be consistent with the public reference data, a presence document for the certification data is generated. By adopting the method, the reliability of data storage can be improved.
Description
Technical Field
The present application relates to the field of blockchain technologies, and in particular, to a blockchain-based data storage method, a blockchain-based data storage device, a blockchain-based data storage apparatus, a blockchain-based data storage medium, and a blockchain-based data storage program product.
Background
As digital economies develop, more and more objective facts need to be demonstrated by electronic evidence. Blockchain-based electronic certification systems have been commonly used in the field of online business transactions, electronic copyrighted works, etc. to implement presence certificates that prove that such electronic data is actually present at a point in time. In the attestation process, the blockchain node server time may be used directly to conduct attestation of points in time.
However, the time of the block link point server is realized by the operating system through a hardware clock, the hardware clock in the time proving mode may be inaccurate, or the system time may be tampered, so that the time acquired by a program running on the device is wrong, and an out-of-link mechanism cannot verify whether the time is credible, thereby reducing the reliability of data storage.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a blockchain-based data certification method, apparatus, computer device, computer readable storage medium, and computer program product that can improve the reliability of data certification.
In a first aspect, the present application provides a blockchain-based data certification method. The method comprises the following steps:
Creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
Based on a reference intelligent contract and a certification intelligent contract which are deployed on a blockchain node, generating certification transaction records according to the certification data and the real-time reference data, and writing the certification transaction records into the blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time;
Acquiring on-chain reference data and public reference data according to the evidence storage time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
Generating a presence document for the certification data if the on-chain reference data is validated to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
In one embodiment, the generating a forensic transaction record based on the reference smart contract and the forensic smart contract deployed on the blockchain node according to each forensic data and each real-time reference data, and writing each forensic transaction record into the blockchain includes:
Responding to the certificate storing request of the certificate storing service end to acquire the certificate storing data;
Based on the reference intelligent contract, inquiring to obtain the real-time reference data according to the certification time of the certification data;
generating the certification transaction record according to the certification data and the real-time reference data based on the certification intelligent contract;
Generating a forensic identifier corresponding to the forensic transaction record based on the forensic intelligent contract; the forensic mark is used for calling the forensic transaction record;
writing the certification transaction record and the certification mark which are commonly recognized by all the blockchain nodes into a blockchain.
In one embodiment, said parsing said real-time reference data in said forensic transaction record comprises:
Inquiring a current recorded available record according to the certificate identification under the condition that the real-time reference data does not exist in the certificate transaction record;
And taking the reference data in the winded available records as the real-time reference data.
In one embodiment, the creating the century block of the blockchain from the historical reference data further comprises:
acquiring the data volume of the historical reference data;
acquiring a forensic scene type, wherein the forensic scene type characterizes the requirement on an available time interval of forensic data;
Under the condition that the type of the evidence scene is a target period, the reference data with the publication time of the reference data conforming to the target period is used as historical reference sub-data;
And under the condition that the data quantity is larger than a preset threshold value, carrying out data screening on the historical reference sub-data according to a preset time granularity requirement, and storing the screened historical reference sub-data into the century block.
In one embodiment, the method further comprises:
acquiring at least two data sources and the same type of reference data;
Consistency verification is carried out on the reference data of the same type and the data sources, and a verification result is obtained;
and taking the reference data of the at least two data sources and the same type as the real-time reference data under the condition that the verification result is consistent with the data.
In one embodiment, the method further comprises:
and under the condition that the absolute value of the difference value between the time in the real-time reference data and the block link point time meets a preset threshold range, generating a reference data transaction record according to the real-time reference data based on the reference intelligent contract, and writing each reference data transaction record into a block chain.
In a second aspect, the application further provides a data certification device based on the blockchain. The device comprises:
the creating module is used for creating century blocks of the blockchain according to the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
The system comprises a certification record writing module, a certification transaction record writing module and a block chain, wherein the certification record writing module is used for generating certification transaction records according to all certification data and all real-time reference data based on reference intelligent contracts and certification intelligent contracts which are deployed on the block chain nodes, and writing all the certification transaction records into the block chain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
The certification time acquisition module is used for responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record and obtaining the certification time;
the reference data acquisition module is used for acquiring on-chain reference data and public reference data according to the certification time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
A verification module for generating a presence document for the certification data in case the on-chain reference data is verified to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
Based on a reference intelligent contract and a certification intelligent contract which are deployed on a blockchain node, generating certification transaction records according to the certification data and the real-time reference data, and writing the certification transaction records into the blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time;
Acquiring on-chain reference data and public reference data according to the evidence storage time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
Generating a presence document for the certification data if the on-chain reference data is validated to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
Based on a reference intelligent contract and a certification intelligent contract which are deployed on a blockchain node, generating certification transaction records according to the certification data and the real-time reference data, and writing the certification transaction records into the blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time;
Acquiring on-chain reference data and public reference data according to the evidence storage time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
Generating a presence document for the certification data if the on-chain reference data is validated to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
Creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
Based on a reference intelligent contract and a certification intelligent contract which are deployed on a blockchain node, generating certification transaction records according to the certification data and the real-time reference data, and writing the certification transaction records into the blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time;
Acquiring on-chain reference data and public reference data according to the evidence storage time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
Generating a presence document for the certification data if the on-chain reference data is validated to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
According to the blockchain-based data verification method, the device, the computer equipment, the storage medium and the computer program product, firstly, the creation century block of the blockchain is created according to historical reference data, then, based on the reference intelligent contracts and the verification intelligent contracts which are deployed on the nodes of the blockchain, verification transaction records are generated according to the verification data and the real-time reference data, the verification transaction records are written into the blockchain, further, the real-time reference data in the verification transaction records are analyzed, verification time is obtained, then, the on-chain reference data and the public reference data are obtained, finally, under the condition of consistency of verification, a verification document aiming at the verification data is generated, the authenticity of the verification data before the verification time is verified, the unreliability of verification caused by inaccurate and easy tampering of a node server clock is avoided, the accuracy of the verification time is ensured, the continuous reference data is adopted as the reliable time of the verification of the existence of the verification data, the reliability of the anchor point is enhanced, and the reliability of the data verification process is further improved.
Drawings
FIG. 1 is a diagram of an application environment for a blockchain-based data certification method in one embodiment;
FIG. 2 is a flow chart of a method for blocking chain-based data logging in one embodiment;
FIG. 3 is a flowchart of a block chain based data logging method according to another embodiment;
FIG. 4 is a flowchart of a block chain based data logging method according to another embodiment;
FIG. 5 is a block diagram of a blockchain-based data certification device in an embodiment;
FIG. 6 is an internal block diagram of a computer device in one embodiment;
Fig. 7 is an internal structural view of a computer device in another embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The data storage method based on the blockchain provided by the embodiment of the application can be applied to an application environment shown in fig. 1. In the case where the reference data is quotation data, the reference intelligence contract is a quotation intelligence contract.
The block chain network end communicates with the certification service end through a network; the certificate storing service end can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and the like; the blockchain network may be implemented by a separate server or a server cluster formed by a plurality of servers.
It should be noted that, the certification system in fig. 1 belongs to a certification service end, and the blockchain predictor is a single function implementation, and the two are bridges for acquiring external market data and service data respectively; the predictor is a medium connected between the blockchain and the non-blockchain network, external information is written into the blockchain, and data intercommunication between the blockchain and the real world is completed.
In one embodiment, as shown in fig. 2, a blockchain-based data storage method is provided, and the method is applied to the blockchain network end in fig. 1 for illustration, and includes the following steps:
s201, creating an century block of the blockchain according to the historical reference data.
Wherein the historical reference data includes reference data from a start time of the reference data to a blockchain creation time. In the case where the reference data is market data, the start time of the reference data refers to the market time of the market data.
Wherein the reference data is continuously unpredictable authoritative data; the reference data includes, but is not limited to, quotation data, weather data.
Illustratively, the predictor obtains online or the blockchain initiator obtains offline, discloses market M [ H1, H2..hm ] transaction varieties of market data, and the continuous market data with time intervals of [ T, NOW ] is written into the blockchain ledger as part of the century block as the time starting point of the blockchain creation.
S202, based on the reference intelligent contracts and the certificate storing intelligent contracts which are deployed on the blockchain nodes, certificate storing transaction records are generated according to the certificate storing data and the real-time reference data, and the certificate storing transaction records are written into the blockchain.
Under the condition that the reference data is quotation data, the reference intelligence is about quotation intelligent contracts, and the real-time reference data is real-time quotation data.
The real-time quotation data comprise quotation data corresponding to the evidence accumulation time of the evidence accumulation data, and the quotation data corresponding to the evidence accumulation time of the evidence accumulation data refer to quotation data which are close to or the same as the evidence accumulation time.
Illustratively, the intelligent certificate deposit contract calls a quotation intelligent contract, and the data to be stored and the quotation data are written into the distributed account book after being commonly known as a certificate deposit transaction.
S203, responding to the verification request of the certification service terminal for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time.
The verification request is used for sending the verification service end to the blockchain network to request the blockchain network to verify certain verification data.
Illustratively, the market data in the evidence-based transaction record is parsed to obtain the latest time newTime therein.
S204, acquiring on-chain reference data and public reference data according to the evidence storage time;
in the case that the reference data is market data, the on-link reference data refers to on-link market data, and the public reference data refers to public market data.
Wherein the link quotation data and the public quotation data comprise quotation data from quotation time to evidence-storing time.
Illustratively, market data from a starting time to a time point Ti of an creation block in a blockchain is obtained, and all market data from the starting time to the time point Ti of the creation block are obtained from a public market.
S205, in the case where the on-chain reference data and the public reference data are verified to be identical, a presence document for the certification data is generated.
Wherein the presence document is used for proving the authenticity of the data prior to the time of the certification, and the data verification coincidence means that the data verification coincidence of all data points in the time interval, and the presence document comprises, but is not limited to, a public certificate.
Illustratively, comparing the acquired market data on the chain with market trend data of the public market, if the latest value of each market data corresponding to the time point is consistent, it is stated that at the time point of Ti, the electronic data is actually present, and a presence certificate can be provided, and a public certificate is issued at the notarization place.
According to the data verification method based on the blockchain, firstly, the creation century block of the blockchain is created according to the historical reference data, then, based on the reference intelligent contracts and the verification intelligent contracts which are deployed on the nodes of the blockchain, the verification transaction records are generated according to the verification data and the real-time reference data, and are written into the blockchain, so that the real-time reference data in the verification transaction records are analyzed to obtain verification time, then, the reference data and the public reference data on the chain are acquired, finally, under the condition of consistent verification, a presence verification file aiming at the verification data is generated to prove the authenticity of the verification data before the verification time, the unreliability of verification caused by inaccurate clock and easy tampering of a node server is avoided, the accuracy of the verification time is ensured, the continuous reference data is adopted as a reliable time anchor point for the verification of the existence of the verification data, the reliability of the verification is enhanced, and the reliability of the data verification process is further improved.
In one embodiment, generating a forensic transaction record from each forensic data and each real-time reference data based on a reference smart contract and a forensic smart contract deployed on a blockchain node, and writing each forensic transaction record to a blockchain, comprising: responding to a certificate storing request of a certificate storing service end to obtain certificate storing data; based on the reference intelligent contract, inquiring to obtain real-time reference data according to the evidence storage time of the evidence storage data; based on the certificate-storing intelligent contract, generating a certificate-storing transaction record according to the certificate-storing data and the real-time reference data; generating a certificate identification corresponding to the certificate transaction record based on the certificate intelligent contract; the forensic mark is used for calling the forensic transaction record; writing the certification transaction record and certification mark which are commonly recognized by all the block chain links into the block chain.
Wherein the forensic identifier is used to retrieve the forensic transaction record.
When the evidence-storing data arrives, the reference intelligent contract only caches the latest reference data, the evidence-storing intelligent contract inquires the latest reference data, the reference data closest to the evidence-storing data in time is selected, the evidence-storing intelligent contract uses the data to be stored and the reference data together as a business evidence-storing transaction, the business evidence-storing transaction is written into a distributed account book after being identified together, the evidence-storing transaction usually has a unique evidence-storing identifier, and the evidence-storing intelligent contract is called to dynamically generate a unique transaction serial number, namely the evidence-storing identifier, each time the business data is evidence-storing.
In this embodiment, after receiving a certificate storage request of a certificate storage service end, the certificate storage data is acquired, then real-time reference data is queried based on a reference intelligent contract, further, a certificate storage transaction record is generated according to the certificate storage data and the real-time reference data based on the certificate storage intelligent contract, a certificate storage identifier is generated, finally, the certificate storage transaction record and the certificate storage identifier which are commonly identified by all block chain links are written into a block chain, continuous reference data and continuous certificate storage data are sequentially anchored according to respective time to generate a transaction record, the verification reliability is enhanced, and in addition, the certificate storage transaction record is conveniently queried and analyzed in the verification process by generating the certificate storage identifier, so that the verification efficiency is improved.
In one embodiment, parsing the real-time reference data in the forensic transaction record includes: under the condition that the real-time reference data does not exist in the certification transaction record, inquiring the available record of the current record according to the certification mark; and taking the reference data in the winded available record as real-time reference data.
Wherein, the existence of no real-time reference data in the evidence-based transaction record refers to the situation that the market data in the evidence-based transaction record is missing possibly. Specifically, although the market data is continuous, the time interval may be rough relative to the recording time of the data, for example, the market data may be recorded once every second, but the deposit transaction is generated once in a few milliseconds, at this time, part of the market data has not yet arrived, so that in the process of acquiring the corresponding market data according to the transaction record, the situation of market data missing in the deposit transaction record may occur.
The meaning of the current record of the available record of the winding is as follows: and selecting the latest evidence-stored transaction record with the transaction serial number before the evidence-stored transaction, namely selecting the evidence-stored transaction record with the generation time later and closer to the current time, and taking the reference data of the evidence-stored transaction record as the basis for comparison.
In this embodiment, under the condition that no real-time reference data exists in the certification transaction record, the current recorded available record is queried according to the certification mark, and then the reference data in the available record is used as the real-time reference data, so that the problem of reduced verification reliability caused by the lack of the reference data in the certification transaction record is avoided, the continuity of the reference data in the verification process is ensured, and the smooth performance of verification is ensured.
In one embodiment, the creating the century block of the blockchain from the historical reference data further comprises: acquiring the data quantity of historical reference data; acquiring a forensic scene type, wherein the forensic scene type characterizes the requirement on an available time interval of forensic data; under the condition that the type of the verification scene is the target period, the reference data with the publication time of the reference data conforming to the target period is used as historical reference sub-data; and under the condition that the data quantity is larger than a preset threshold value, carrying out data screening on the historical reference sub-data according to the requirement of the granularity of the preset time, and storing the screened historical reference sub-data into the century block.
The type of the evidence-storing scene characterizes the requirement on the available time interval of the evidence-storing data, the type of the reference data is at least one, and the reference data which is required to be supported according to different evidence-storing service scenes is different.
In the case that the reference data is quotation data, the publication time of the reference data refers to quotation publication time of the quotation data.
Wherein the target period includes, but is not limited to, a 24 hour uninterrupted service period, a specified time service period.
For general certification services for 24-hour services, it is generally required that the M varieties can be generated at any time of 24 hours a day, at least to ensure that reference data of a certain variety can be generated without interruption, for example, reference data of a foreign exchange can be selected; for a special evidence storage scene aiming at securities trade business, reference data of an evidence index can be used, and the market time is ensured to have reference data.
For example, the reference data of the blocks of the century may be taken as trend data in units of days, weeks, or months instead of trend data in units of minutes to reduce the amount of data.
In this embodiment, firstly, the data amount of the historical reference data and the verification scene type are obtained respectively, then, under the condition that the verification scene type is the target period, the reference data with the publication time of the reference data conforming to the target period is used as the historical reference sub-data, and under the condition that the data amount is larger than the preset threshold, the historical reference sub-data is subjected to data screening according to the granularity requirement of the preset time, and the screened historical reference sub-data is stored in the creation century block, so that the integrity of the reference data before the creation time of the blockchain is ensured, the continuity of the reference data adopted for verification is further ensured, the consumption of storage resources of the historical data is saved, the data storage efficiency is improved, and meanwhile, the data variety and the adaptive reference data are selected according to the different required service periods, and the effectiveness of the data verification is improved.
In one embodiment, the method further comprises: acquiring at least two data sources and the same type of reference data; consistency verification is carried out on the reference data of the same type and the data sources, and a verification result is obtained; and under the condition that the verification result is consistent with the data, at least two data sources and the same type of reference data are used as real-time reference data.
When the reference data are market data, the same type of reference data refer to market data of the same variety, and two data sources represent market data of the same variety obtained from different market servers.
Illustratively, the plurality of predictors acquire the market data of the same variety from different market servers, and acquire the market data to supplement each other, and the market intelligent contracts verify the market data as legal market data after the market data of the same transaction variety are compared.
In this embodiment, at least two types of reference data with the same type of data sources are obtained first, and then consistency verification is performed on the reference data with the same type of data sources, and under the condition that the data are consistent, the reference data with the same type of data sources are used as real-time reference data, so that reliability of data storage is improved.
In one embodiment, the method further comprises: and under the condition that the absolute value of the difference value between the time in the real-time reference data and the block link point time meets a preset threshold range, generating a reference data transaction record according to the real-time reference data based on the reference intelligent contract, and writing each reference data transaction record into the block chain.
The method includes the steps of obtaining time in real-time reference data, calculating a difference value between the time and the block link point time, and taking an absolute value of the difference value, wherein the reference data passing verification is written into a distributed account book after being commonly known as a reference data transaction record under the condition that the absolute value meets a preset threshold range.
In this embodiment, when the absolute value of the difference between the time in the real-time reference data and the block link point time satisfies the preset threshold range, the reference data transaction record is directly generated according to the real-time reference data and written into the block chain, so that the continuity of the reference data is ensured to be maintained when the reference data does not need to be verified, and the reliability of the data verification and verification process is further improved.
In another embodiment, as shown in fig. 3, a blockchain-based data certification method is provided, comprising the steps of:
S301, acquiring the data volume of historical reference data;
s302, obtaining a forensic scene type, wherein the forensic scene type characterizes the requirement of the available time interval of forensic data;
S303, under the condition that the existence scene type is the target period, taking the reference data with the publication time of the reference data conforming to the target period as historical reference sub-data;
And S304, under the condition that the data quantity is larger than a preset threshold value, carrying out data screening on the historical reference sub-data according to the requirement of the granularity of the preset time, and storing the screened historical reference sub-data into the century block.
S305, under the condition that the absolute value of the difference value between the time in the real-time reference data and the block link point time meets a preset threshold range, generating a reference data transaction record according to the real-time reference data based on the intelligent market contract, and writing each reference data transaction record into the block chain.
It should be noted that, the specific limitation of the above steps may be referred to above for specific limitation of a blockchain-based data storage method, which is not described herein.
In another embodiment, as shown in fig. 4, there is provided a blockchain-based data certification method, comprising the steps of:
s401, obtaining certificate storage data in response to a certificate storage request of a certificate storage service end;
S402, inquiring to obtain real-time reference data according to the certificate storing time of the certificate storing data based on the reference intelligent contract;
S403, based on the certificate storing intelligent contract, generating a certificate storing transaction record according to the certificate storing data and the real-time reference data;
s404, generating a certificate storing identifier corresponding to the certificate storing transaction record based on the certificate storing intelligent contract;
S405, writing the certification transaction record and certification mark which are subjected to the joint consensus of all the block links into the block chain;
S406, inquiring the available record of the current record according to the certification mark under the condition that the real-time reference data does not exist in the certification transaction record;
S407, taking the reference data in the available record as real-time reference data.
It should be noted that, the specific limitation of the above steps may be referred to above for specific limitation of a blockchain-based data storage method, which is not described herein.
In some embodiments, the occurrence time of certain data may be proved by anchoring the occurrence time of an externally verifiable event, but the manner of anchoring an externally verifiable event, such as a news headline, has the characteristics of discontinuous time and uncertain occurrence time, and is not convenient to be used as the time basis of blockchain certification.
Based on the above, according to the characteristic of continuity of the current power industry certification data, such as the power generation condition of the power generation equipment at each moment, the data of the market which is externally acknowledged and verifiable and has continuity characteristics with the power data are anchored with the power certification data and bound together to form a chain, and the chain is used as the basis of the time anchor point and the trusted certification time of the electronic data certification, so that the electronic data is proved to actually exist at the moment corresponding to the market data. The market data of the public market cannot be known in advance and has continuity, and the data storage and verification method based on the blockchain can greatly improve the reliability of data storage and verification.
The blockchain-based data certification method is described in detail below in one specific embodiment. It is to be understood that the following description is exemplary only and is not intended to limit the application to the details of construction and the arrangements of the components set forth herein.
(1) The block chain link points deploy block chain license intelligent contracts and quotation intelligent contracts.
And the intelligent quotation contract on the blockchain node receives quotation data acquired by the predictor from an external public market, verifies the quotation data, writes the verification into the blockchain account book after no error, and provides the latest quotation data when the quotation data are required by the contract.
Wherein, the quotation data includes, but is not limited to newTime up-to-date time, newPrice up-to-date value, hqID quotation variety unique identification. In order to ensure accuracy of the market data, the market data needs to be verified, and specifically, the market verification content mainly includes: newTime is later than newTime of the last market data corresponding to hqID; newPrice are within a preset range interval.
For example, market data at time 15:00 of 10.2022, 1.day shows real-time price $ 19362.4; in setting the price range, it is generally required that the price is greater than 0, and neither the value nor the value is equal to or less than 0 is not within the preset range.
(2) The method comprises the steps of acquiring market data of M [ H1, H2..Hm ] transaction varieties in a market in an online manner or acquiring the market data of M [ H1, H2..Hm ] transaction varieties in an offline manner by a prophetic machine, writing the data into a blockchain account book as a part of an creation century block, taking the data as a time starting point of creation of the blockchain, and forming continuity with the latest market data.
It should be noted that, according to different license service scenarios, the market data to be supported is different.
For example, in a certification service scenario, for a general certification service for 24 hours, it is generally required that the M market varieties can generate market data of at least one market variety continuously at any time of 24 hours a day, for example, market data of a foreign exchange can be selected.
In another evidence-based business scenario, market data of the evidence-based index can be used for a special evidence-based scenario for securities trade business, so that market time market data are ensured.
Wherein M is a natural number of 1 or more; the time interval of the market data is [ T, NOW ], where T is a historical time point, typically the market time point of the market, such as N years ago, and NOW represents the current time.
In addition, the time interval of the market trend data is generally longer, the market trend data volume is also larger, and the market trend data of the century blocks can replace the minute market trend data with the daily, weekly and monthly market trend data so as to reduce the data volume.
When generating the century block, the market data can be obtained online through a prophetic machine, or historical market data can be obtained offline by an initiator of a blockchain, for example, the market data can be directly downloaded and imported manually, and then the century block is generated according to the market data.
It should be noted that, the advantage of writing into the century block is that the historical market data in the century block and the continuously verifiable market data formed by the market data in the new block are longer, so that the market data with the same length and the same trend are very difficult to forge, and further the accuracy of verifying the stored data is improved.
(3) The forecasting machine acquires market data of M [ H1, H2..Hm ] transaction varieties of the public market from a market server of the public market, and sends the market data to a blockchain network to be processed by a market intelligent contract.
Optionally, the plurality of predictors acquire the quotation data from different quotation servers, and acquire the quotation data to supplement each other, and the quotation intelligent contract verifies and passes the legal quotation data after being consistent with the quotation data of the same transaction variety, so that the problem of insufficient reliability of a single source can be avoided.
The generation process for the ticketing transaction may be, but is not limited to, the following two ways:
And under the condition that the verification data does not arrive, the verified quotation data is used as a quotation verification transaction and written into the distributed account book after consensus.
Under the condition that the stored-up data arrives, the intelligent quotation contract only caches the latest quotation data, the stored-up intelligent contract inquires the latest quotation data, and the stored-up intelligent contract takes the to-be-stored-up data and the quotation data together as a business stored-up transaction to be written into the distributed account book after consensus.
When the business certification transaction is generated under the condition that the certification data arrives, the marketing data closest to the certification data in time is needed to be selected to complete the certification process.
(4) When the certification system acquires the business data to be certified from the business system, a certification request is generated and sent to the blockchain network.
It should be noted that, the certification initiator will deposit the service data onto the blockchain as soon as possible at the moment of occurrence of the fact. If the initiator delays the service data for a period of time Tdelay to store the certificate, the service data can only be proved to exist at the delayed Tdelay time point, which is disadvantageous to the certificate storing initiator. The certification authority comprises a agency party or a person for initiating a certification process by using a certification service terminal.
(5) And the blockchain node calls the certificate storage intelligent contract to process after acquiring the certificate storage service data.
The intelligent certificate-storing and appointment-closing call quotation intelligent contracts, and the data to be stored and the quotation data are taken as a certificate-storing transaction and written into the distributed account book after consensus. The specific mode for calling the intelligent quotation contract is as follows: and inquiring the intelligent quotation contract to acquire quotation data closest to the time point of the data to be stored. The deposit transaction will generally have a unique deposit identifier, and each time the business data is deposited, the deposit intelligent contract will be invoked to dynamically generate a unique transaction serial number, i.e. the deposit identifier.
(6) When disputes occur, a presence certificate of certain electronic data is required to be issued, a corresponding business certificate transaction record on a blockchain is obtained according to a unique certificate identifier of the electronic data, and corresponding market data is obtained according to the transaction record.
It should be noted that, although the market data is continuous, the time interval may be rough with respect to the recording time of the data, for example, the market data may be recorded once every second, but the deposit transaction is generated once in several milliseconds, at this time, part of the market data has not yet arrived, so that in the process of acquiring the corresponding market data according to the transaction record, the situation of market data missing in the deposit transaction record may occur.
And under the condition that no corresponding quotation data exists in the business quotation transaction record, selecting the quotation transaction with the nearest transaction serial number to acquire the corresponding quotation data. As shown in table 1, the data with transaction serial number 4 has no market data, instead, an online article title is used, and when the transaction record is analyzed, the market data in the transaction content with transaction serial number 3 needs to be selected, and then the subsequent verification process is completed according to the market data, so that the continuity of the market data in the verification process is ensured, and the smooth progress of verification is ensured.
It should be noted that, the meaning of selecting the market license transaction with the latest transaction serial number includes: selecting the latest quotation deposit transaction with the transaction serial number before the deposit transaction, namely selecting the quotation deposit transaction with the generation time later and closer to the current time, and taking the quotation data of the quotation deposit transaction as the basis for comparison; either prior to the certification transaction or after the certification transaction, based on the fact that it is able to provide the marketing data for verification.
TABLE 1
Corresponding quotation data are recorded in the business evidence-storing transaction record, and the quotation data are directly utilized for subsequent verification. As shown in table 2, there is quotation data present in each transaction content.
TABLE 2
(7) The latest time newTime in the acquisition of the quotation data is analyzed, and the latest time is taken as a time point Ti. And obtaining market data from the starting time of the creation block to the time point Ti in the block chain.
(8) And acquiring all market data from the starting time of the creation block to the time point Ti interval from the public market.
(9) The acquired market data on the chain is compared with market trend data for the open market.
If the latest value of each market data corresponding to a time point is consistent, then it is indicated that at the time point Ti, the electronic data is actually present, and presence evidence, such as a public certificate at a notarization place on a chain, can be provided. Otherwise, presence evidence would not be provided.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a blockchain-based data certification device for realizing the blockchain-based data certification method. The implementation of the solution provided by the apparatus is similar to that described in the above method, so the specific limitations in the embodiments of the one or more blockchain-based data certification apparatuses provided below may be referred to above as limitations of the blockchain-based data certification method, and are not repeated herein.
In one embodiment, as shown in FIG. 5, there is provided a blockchain-based data certification device comprising: the system comprises an creation century block creation module 501, a certification record writing module 502, a certification time acquisition module 503, a reference data acquisition module 504 and a verification module 505, wherein:
A century block creation module 501 for creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
The forensic record writing module 502 is configured to generate forensic transaction records according to each forensic data and each real-time reference data based on a reference intelligent contract and a forensic intelligent contract deployed on a blockchain node, and write each forensic transaction record into the blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
the certification time obtaining module 503 is configured to, in response to a verification request of the certification service terminal for the certification data, analyze real-time reference data in the certification transaction record, and obtain certification time;
a reference data obtaining module 504, configured to obtain on-chain reference data and public reference data according to the certification time; the in-chain reference data and the public reference data include reference data from a start time to a certification time;
A verification module 505, configured to generate a presence document for the certification data in a case where the on-chain reference data is consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
In one embodiment, the forensic record writing module is further to: responding to a certificate storing request of a certificate storing service end to obtain certificate storing data; based on the reference intelligent contract, inquiring to obtain real-time reference data according to the evidence storage time of the evidence storage data; based on the certificate-storing intelligent contract, generating a certificate-storing transaction record according to the certificate-storing data and the real-time reference data; generating a certificate identification corresponding to the certificate transaction record based on the certificate intelligent contract; the forensic mark is used for calling the forensic transaction record; writing the certification transaction record and certification mark which are commonly recognized by all the block chain links into the block chain.
In one embodiment, the certification time acquisition module is further configured to: under the condition that the real-time reference data does not exist in the certification transaction record, inquiring the available record of the current record according to the certification mark; and taking the reference data in the winded available record as real-time reference data.
In one embodiment, the century block creation module is further to: acquiring the data quantity of historical reference data; acquiring a forensic scene type, wherein the forensic scene type characterizes the requirement on an available time interval of forensic data; under the condition that the type of the verification scene is the target period, the reference data with the publication time of the reference data conforming to the target period is used as historical reference sub-data; and under the condition that the data quantity is larger than a preset threshold value, carrying out data screening on the historical reference sub-data according to the requirement of the granularity of the preset time, and storing the screened historical reference sub-data into the century block.
In one embodiment, the apparatus is further to: acquiring at least two data sources and the same type of reference data; consistency verification is carried out on the reference data of the same type and the data sources, and a verification result is obtained; and under the condition that the verification result is consistent with the data, at least two data sources and the same type of reference data are used as real-time reference data.
In one embodiment, the apparatus is further to: and under the condition that the absolute value of the difference value between the time in the real-time reference data and the block link point time meets a preset threshold range, generating a reference data transaction record according to the real-time reference data based on the reference intelligent contract, and writing each reference data transaction record into the block chain.
The various modules in the blockchain-based data storage device described above may be implemented in whole or in part in software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing certificate data and related data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a blockchain-based data logging method.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a blockchain-based data logging method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the structures shown in fig. 6 and 7 are block diagrams of only portions of structures associated with the present inventive arrangements and are not limiting of the computer device to which the present inventive arrangements are applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device includes a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of the method embodiments described above.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive RandomAccess Memory, MRAM), ferroelectric Memory (Ferroelectric RandomAccess Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (RandomAccess Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic RandomAccess Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (9)
1. A blockchain-based data certification method, the method comprising:
Creating a century block of the blockchain from the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
Based on a reference intelligent contract and a certification intelligent contract which are deployed on a blockchain node, generating certification transaction records according to the certification data and the real-time reference data, and writing the certification transaction records into the blockchain; comprising the following steps: responding to the certificate storing request of the certificate storing service end to acquire the certificate storing data; based on the reference intelligent contract, inquiring to obtain the real-time reference data according to the certification time of the certification data; generating the certification transaction record according to the certification data and the real-time reference data based on the certification intelligent contract; generating a forensic identifier corresponding to the forensic transaction record based on the forensic intelligent contract; the forensic mark is used for calling the forensic transaction record; writing the certification transaction record and the certification mark which are commonly recognized by all the blockchain nodes into a blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record, and obtaining the certification time;
Acquiring on-chain reference data and public reference data according to the evidence storage time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
Generating a presence document for the certification data if the on-chain reference data is validated to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
2. The method of claim 1, wherein said parsing the real-time reference data in the forensic transaction record comprises:
Inquiring a current recorded available record according to the certificate identification under the condition that the real-time reference data does not exist in the certificate transaction record;
And taking the reference data in the winded available records as the real-time reference data.
3. The method of claim 1, wherein the creating a century block of a blockchain from historical reference data further comprises:
acquiring the data volume of the historical reference data;
acquiring a forensic scene type, wherein the forensic scene type characterizes the requirement on an available time interval of forensic data;
Under the condition that the type of the evidence scene is a target period, the reference data with the publication time of the reference data conforming to the target period is used as historical reference sub-data;
And under the condition that the data quantity is larger than a preset threshold value, carrying out data screening on the historical reference sub-data according to a preset time granularity requirement, and storing the screened historical reference sub-data into the century block.
4. The method according to claim 1, wherein the method further comprises:
acquiring at least two data sources and the same type of reference data;
Consistency verification is carried out on the reference data of the same type and the data sources, and a verification result is obtained;
and taking the reference data of the at least two data sources and the same type as the real-time reference data under the condition that the verification result is consistent with the data.
5. The method according to claim 1, wherein the method further comprises:
and under the condition that the absolute value of the difference value between the time in the real-time reference data and the block link point time meets a preset threshold range, generating a reference data transaction record according to the real-time reference data based on the reference intelligent contract, and writing each reference data transaction record into a block chain.
6. A blockchain-based data certification device, the device comprising:
the creating module is used for creating century blocks of the blockchain according to the historical reference data; the historical reference data includes reference data from a start time of the reference data to a blockchain creation time; the reference data is continuously unpredictable authoritative data;
The system comprises a certification record writing module, a certification transaction record writing module and a block chain, wherein the certification record writing module is used for generating certification transaction records according to all certification data and all real-time reference data based on reference intelligent contracts and certification intelligent contracts which are deployed on the block chain nodes, and writing all the certification transaction records into the block chain; comprising the following steps: responding to the certificate storing request of the certificate storing service end to acquire the certificate storing data; based on the reference intelligent contract, inquiring to obtain the real-time reference data according to the certification time of the certification data; generating the certification transaction record according to the certification data and the real-time reference data based on the certification intelligent contract; generating a forensic identifier corresponding to the forensic transaction record based on the forensic intelligent contract; the forensic mark is used for calling the forensic transaction record; writing the certification transaction record and the certification mark which are commonly recognized by all the blockchain nodes into a blockchain; the real-time reference data includes reference data corresponding to a certification time of the certification data;
The certification time acquisition module is used for responding to a verification request of a certification service end for the certification data, analyzing the real-time reference data in the certification transaction record and obtaining the certification time;
the reference data acquisition module is used for acquiring on-chain reference data and public reference data according to the certification time; the in-chain reference data and the public reference data include reference data from the start time to the certification time;
A verification module for generating a presence document for the certification data in case the on-chain reference data is verified to be consistent with the public reference data; the presence document is used to prove the authenticity of the certification data prior to the certification time.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
9. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311183971.XA CN117220947B (en) | 2023-09-13 | 2023-09-13 | Blockchain-based data certification method, device, computer equipment, storage medium and program product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311183971.XA CN117220947B (en) | 2023-09-13 | 2023-09-13 | Blockchain-based data certification method, device, computer equipment, storage medium and program product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117220947A CN117220947A (en) | 2023-12-12 |
| CN117220947B true CN117220947B (en) | 2024-06-07 |
Family
ID=89040155
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311183971.XA Active CN117220947B (en) | 2023-09-13 | 2023-09-13 | Blockchain-based data certification method, device, computer equipment, storage medium and program product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117220947B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409136A (en) * | 2018-11-08 | 2019-03-01 | 中链科技有限公司 | Block chain deposits the verification method, device and calculating equipment of card content |
| CN110189122A (en) * | 2019-04-30 | 2019-08-30 | 阿里巴巴集团控股有限公司 | The method and device fixed time for the data anchor on block chain, electronic equipment |
| CN113301163A (en) * | 2021-06-02 | 2021-08-24 | 网易（杭州）网络有限公司 | Service processing method, system, electronic device and storage medium |
| CN115085909A (en) * | 2022-05-09 | 2022-09-20 | 北京红洞科技有限公司 | Random number generation method, device, computer equipment and medium |
| WO2022218227A1 (en) * | 2021-04-13 | 2022-10-20 | 支付宝(杭州)信息技术有限公司 | Blockchain-based deposit method and apparatus, and electronic device |
-
2023
- 2023-09-13 CN CN202311183971.XA patent/CN117220947B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409136A (en) * | 2018-11-08 | 2019-03-01 | 中链科技有限公司 | Block chain deposits the verification method, device and calculating equipment of card content |
| CN110189122A (en) * | 2019-04-30 | 2019-08-30 | 阿里巴巴集团控股有限公司 | The method and device fixed time for the data anchor on block chain, electronic equipment |
| WO2022218227A1 (en) * | 2021-04-13 | 2022-10-20 | 支付宝(杭州)信息技术有限公司 | Blockchain-based deposit method and apparatus, and electronic device |
| CN113301163A (en) * | 2021-06-02 | 2021-08-24 | 网易（杭州）网络有限公司 | Service processing method, system, electronic device and storage medium |
| CN115085909A (en) * | 2022-05-09 | 2022-09-20 | 北京红洞科技有限公司 | Random number generation method, device, computer equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117220947A (en) | 2023-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6882474B2 (en) | Systems and methods for detecting replay attacks | |
| US11165589B2 (en) | Trusted agent blockchain oracle | |
| CN110431577B (en) | System and method for detecting replay attacks | |
| AU2019204733B2 (en) | Performing parallel execution of transactions in a distributed ledger system | |
| US11902601B2 (en) | System and techniques for digital data lineage verification | |
| US20190347290A1 (en) | Blockchain-based music originality analysis method and apparatus | |
| CN111507709B (en) | Data tracing system | |
| CN110633963B (en) | Electronic bill processing method, electronic bill processing device, computer readable storage medium and computer readable storage device | |
| US20210049715A1 (en) | Blockchain-based data procesing method, apparatus, and electronic device | |
| WO2022156574A1 (en) | Blockchain-based method and apparatus for data processing, device, and readable storage medium | |
| CN112699081A (en) | File self-certification method and device based on block chain | |
| CN112287033B (en) | Data synchronization method, equipment and computer readable storage medium | |
| US11849046B2 (en) | Freshness visibility in supply-chain | |
| CN113326165A (en) | Data processing method and device based on block chain and computer readable storage medium | |
| CN113901395A (en) | Data processing method, data processing device, computer equipment and storage medium | |
| CN110660466A (en) | Personal health data chaining method and system of Internet of things by combining block chains | |
| CN113472543A (en) | Employment data processing method and device based on block chain, electronic equipment and medium | |
| US12033196B2 (en) | Accelerated invoicing using predictive freight events | |
| US20230169517A1 (en) | Compliance model utilizing distributed ledger technology | |
| CN117220947B (en) | Blockchain-based data certification method, device, computer equipment, storage medium and program product | |
| CN108416662A (en) | A kind of data verification method and device | |
| CN112364382B (en) | Credible time domain determination method of business record based on credible account book database | |
| CN107040512B (en) | Information verification correction method and device | |
| CN109559115A (en) | A kind of method for building up, method of commerce and the relevant apparatus of intelligence contract | |
| US20240275619A1 (en) | Data Backups Using Multiple Blockchains |
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 |