CN110209675A - Credit data querying method and its device on block chain - Google Patents
Credit data querying method and its device on block chain Download PDFInfo
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Abstract
The credit data querying method and its device that the present invention relates to a kind of on block chain, this method comprises: client inquires the credit data according to credit data mark from database；The client carries out the first Hash operation according to the credit data and obtains the first cryptographic Hash；First cryptographic Hash is compared by the client with the second cryptographic Hash；When the client confirms that first cryptographic Hash is identical as second cryptographic Hash, judge that the credit data stored on credit data and the block chain that the client obtains from the database is identical.By the way that the data of the credit on block chain are resolved in database, then client obtains the data of credit from database as needed, the time that client obtains the data of credit from block chain is shortened, the efficiency that client obtains the data of credit is improved, improves the experience of user.
Description
Technical Field
The present invention relates to the field of block chain technology, and in particular, to a method and an apparatus for querying credit data on a block chain.
Background
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm, and is essentially a decentralized database. In the existing block chain, the structure of the block chain is that a block follows a block, and the next block contains the hash value of the previous block, so as to ensure the security of data in the block.
Therefore, when a user (client) queries data, the interface for querying on the block chain needs to traverse all the block chains to obtain the data that the user wants to query; resulting in inefficient data queries and further affecting user experience.
Disclosure of Invention
The invention provides a credit data query method and a credit data query device on a block chain, which improve the efficiency of information query and improve the user experience.
The first aspect of the present application discloses a credit data query method on a block chain, in which:
the client inquires the credit data from a database according to the credit data identification, wherein the credit data in the database is acquired from a block chain;
the client side carries out first hash operation according to the credit data to obtain a first hash value;
the client compares the first hash value with a second hash value, wherein the second hash value is obtained by performing second hash operation on the credit data stored in the block chain;
and the client determines that the first hash value is the same as the second hash value, and judges that the credit data acquired by the client from the database is the same as the credit data stored in the block chain.
In one example, the client comparing the first hash value to the second hash value comprises: and the client sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
In one example, the client comparing the first hash value to the second hash value comprises: and the client acquires a second hash value from the block chain and compares the first hash value with the second hash value.
In one example, the data identification of the credit includes one or both of a user ID and a credit history content data identification; the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
In one example, the first hash operation and the second hash operation are the same hash algorithm.
The second aspect of the application discloses a credit data query device on a block chain, wherein the device is a client, and the device comprises an acquisition unit, a calculation unit, a comparison unit and a confirmation unit; wherein,
the acquisition unit is used for inquiring the credit data from a database according to the credit data identification, and the credit data in the database is acquired from a block chain;
the computing unit is used for carrying out first Hash operation according to the credit data to obtain a first Hash value;
the comparing unit compares a first hash value with a second hash value, wherein the second hash value is obtained by performing a second hash operation on the credit data stored in the block chain;
and the confirming unit is used for judging that the credit data acquired by the client from the database is the same as the credit data stored in the block chain when the first hash value is confirmed to be the same as the second hash value.
In one example, the comparing unit compares the first hash value with the second hash value, including: and the comparison unit sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
In one example, the comparing unit compares the first hash value with the second hash value, including: and the comparison unit acquires a second hash value from the block chain and compares the first hash value with the second hash value.
In one example, the data identification of the credit includes one or both of a user ID and a credit history content data identification; the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
In one example, the first hash operation and the second hash operation are the same hash algorithm.
In a third aspect, a client is provided, the client includes a processor and a memory, the memory includes instructions, and when the processor calls and executes the instructions in the memory, the following processes are implemented:
the client inquires the credit data from a database according to the credit data identification, wherein the credit data in the database is acquired from a block chain;
the client side carries out first hash operation according to the credit data to obtain a first hash value;
the client compares the first hash value with a second hash value, wherein the second hash value is obtained by performing second hash operation on the credit data stored in the block chain;
and the client determines that the first hash value is the same as the second hash value, and judges that the credit data acquired by the client from the database is the same as the credit data stored in the block chain.
In a fourth aspect, a system is provided that includes a blockchain system, a database, and at least one client. The blockchain system includes credit data; the database comprises credit data acquired and analyzed from the block chain; the client is adapted to perform the first aspect and the method of any possible implementation of the first aspect.
In a fifth aspect, there is provided a computer program product comprising instructions for performing the method of any one of the possible implementations of the first aspect when the instructions are run on a computer.
A sixth aspect provides a computer-readable storage medium storing instructions that, when executed on a computer, implement the method of any one of the possible implementations of the first aspect.
According to the method, the credit data on the block chain are downloaded and analyzed into the database, and the client side directly inquires the credit data from the database according to the identification of the credit data; comparing the credit data inquired from the database with the hash value of the credit data stored on the block chain; the reliability of the credit data is guaranteed, the time for acquiring the credit data from the block chain is shortened, the efficiency of inquiring the credit data is improved, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for querying credit data on a block chain according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a client according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a client according to an embodiment of the present application.
Detailed Description
On the basis of the existing block chain technology, the embodiment of the invention is provided for shortening the time for inquiring the credit data from the block chain and improving the efficiency for inquiring the credit data from the block chain.
The embodiment of the application is suitable for inquiring credit data, wherein the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data. In other words, the credit data is historical data generated by an individual or a company.
In the embodiment of the invention, when a user needs to acquire certain credit data, the user acquires the corresponding credit data from the database through the client according to the credit data identification (such as user ID). Meanwhile, in order to ensure the security of the credit data, the client calculates the hash value of the acquired credit data, verifies the calculated hash value on the block chain, namely compares the calculated hash value with the hash value stored on the block chain, and determines that the credit data acquired from the database by the client is not tampered and is real when the calculated hash value is consistent with the hash value stored on the block chain.
The following describes a method for querying credit data applied to a block chain according to an embodiment of the present invention with reference to a flowchart of the method for querying credit data in fig. 1.
As shown in fig. 1, the execution subject of the method is a client, and the method includes the following steps:
s101, the client inquires the credit data from a database according to the credit data identification, wherein the credit data in the database is acquired from a block chain.
In this embodiment, in order to shorten the time for the client to query the credit data from the blockchain and improve the efficiency of the client to query the credit data, the data of the credit on the blockchain is downloaded, parsed, and stored in a database, which may be a conventional database, for storing the data. The database may be embodied as a server, or other means for storing data.
When a user needs to inquire the data of a certain credit, the data of the credit corresponding to the credit attribute information is inquired and obtained from the database through the client according to the attribute information (identification information) of the credit.
In one embodiment, the data identification of the credit includes one or both of a user ID and a credit history content data identification; the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
For example, when a user needs to query credit data with a credit identifier A, the user queries the credit data with a credit name A through a client; in one embodiment, a client sends a query request to a database, wherein the query request comprises a credit identifier A; and after receiving the query request, the database feeds back the credit data of the credit name A to the client.
S102, the client side carries out first hash operation according to the credit data to obtain a first hash value.
When the client receives the data of the credit, for example, when the client receives the credit data with the credit identifier a, the client performs hash calculation on the credit data with the credit identifier a to obtain a hash value, which is also referred to as a first hash value.
It should be noted that, in this embodiment of the present invention, "first" and "second" are used to distinguish information, such as hash values, but in this embodiment of the present invention, "first" and "second" are used only to distinguish things, and the information itself is not limited.
S103, the client compares the first hash value with a second hash value, wherein the second hash value is obtained by performing a second hash operation on the credit data stored in the block chain.
In order to ensure that the data of the credits retrieved from the database is consistent with the data of the credits retrieved from the blockchain, i.e. to ensure that the data of the credits in the database is not tampered with, the data of the credits retrieved from the database is compared with the data of the credits stored in the blockchain.
When the credit data is stored on the blockchain, a hash value converted from the credit data is stored, so that the client calculates the data of the credit obtained from the database to obtain the hash value (also called as a first hash value) of the credit data, and then compares the hash value with a second hash value of the data of the credit stored on the blockchain to determine that the data of the credit obtained from the database is not falsified and is consistent with the data of the credit on the blockchain, namely the data of the credit obtained from the database is correct and real.
In one embodiment, the client comparing the first hash value to the second hash value comprises: and the client sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
In one embodiment, the client comparing the first hash value to the second hash value comprises: and the client acquires a second hash value from the block chain and compares the first hash value with the second hash value. The specific process can be as follows: the client sends an acquisition request to a certain block chain node of the block chain so as to acquire a second hash value of the credit data on the block chain; and when the client acquires the second hash value of the credit data from the block chain, comparing the first hash value with the second hash value.
And S104, the client determines that the first hash value is the same as the second hash value, and judges that the credit data acquired by the client from the database is the same as the credit data stored in the block chain.
When the first hash value is consistent with the second hash value, the client determines that the data of the credit acquired from the database is safe, is not tampered and is consistent with the data of the credit on the blockchain.
By adopting the method for inquiring the data on the block chain, provided by the embodiment of the invention, the credit data on the block chain is analyzed into the database, and then the client side acquires the credit data from the database as required, so that the time for the client side to acquire the credit data from the block chain is shortened, the efficiency for the client side to acquire the credit data is improved, and the user experience is improved.
Fig. 2 is a schematic structural diagram of a client according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes an acquisition unit 210, a calculation unit 220, a comparison unit 230, and a determination unit 240.
The obtaining unit 210 queries the credit data from a database according to the credit data identifier, wherein the credit data in the database is obtained from the blockchain.
The calculating unit 220 performs a first hash operation according to the credit data to obtain a first hash value.
The comparing unit 230 compares the first hash value with a second hash value, where the second hash value is obtained by performing a second hash operation on the credit data stored in the block chain.
And a confirming unit 240, configured to determine that the credit data acquired by the client from the database is the same as the credit data stored in the block chain when the first hash value is confirmed to be the same as the second hash value.
By analyzing the credit data on the blockchain into the database and then acquiring the credit data from the database according to needs, the time for the client to acquire the credit data from the blockchain is shortened, the efficiency for the client to acquire the credit data is improved, and the user experience is improved.
In one example, the comparing unit compares the first hash value with the second hash value, including: and the comparison unit sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
In one example, the comparing unit compares the first hash value with the second hash value, including: and the comparison unit acquires a second hash value from the block chain and compares the first hash value with the second hash value.
In one example, the data identification of the credit includes one or both of a user ID and a credit history content data identification; the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
In one example, the first hash operation and the second hash operation are the same hash algorithm.
Each functional unit of the client may implement the method/step shown in fig. 1, and therefore, the specific working process of the client provided in the embodiment of the present invention is not described herein again.
Fig. 3 is a schematic structural diagram of a client according to an embodiment of the present invention. As shown in fig. 3, the client includes a processor and a memory, the memory includes instructions, and when the processor calls and executes the instructions in the memory, the following processes are implemented:
the client inquires the credit data from a database according to the credit data identification, wherein the credit data in the database is acquired from a block chain;
the client side carries out first hash operation according to the credit data to obtain a first hash value;
the client compares the first hash value with a second hash value, wherein the second hash value is obtained by performing second hash operation on the credit data stored in the block chain;
and the client determines that the first hash value is the same as the second hash value, and judges that the credit data acquired by the client from the database is the same as the credit data stored in the block chain.
By analyzing the credit data on the blockchain into the database and then acquiring the credit data from the database according to needs, the time for the client to acquire the credit data from the blockchain is shortened, the efficiency for the client to acquire the credit data is improved, and the user experience is improved.
The hardware embodiments can be similar to or the same as the method embodiments, and are not described herein again.
Each functional device of the client may implement the method/step shown in fig. 1, and therefore, the specific working process of the client provided in the embodiment of the present invention is not described herein again.
The embodiment of the invention also provides a system which comprises the blockchain system, the database and at least one client. The blockchain system includes data for e.g. credit; the database comprises credit data acquired and analyzed from the block chain; the client is used to execute the method shown in fig. 1.
Embodiments of the present invention also provide a computer program product comprising instructions for performing the method shown in fig. 1 when the instructions are run on a computer.
Embodiments of the present invention also provide a computer-readable storage medium for storing instructions, which when executed on a computer implement the method shown in fig. 1.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for querying credit data over a blockchain, the method comprising:
the client inquires the credit data from a database according to the credit data identification, wherein the credit data in the database is acquired from a block chain;
the client side carries out first hash operation according to the credit data to obtain a first hash value;
the client compares the first hash value with a second hash value, wherein the second hash value is obtained by performing second hash operation on the credit data stored in the block chain;
and the client determines that the first hash value is the same as the second hash value, and judges that the credit data acquired by the client from the database is the same as the credit data stored in the block chain.
2. The method of claim 1, wherein the client comparing the first hash value to the second hash value comprises:
and the client sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
3. The method of claim 1, wherein the client comparing the first hash value to the second hash value comprises:
and the client acquires a second hash value from the block chain and compares the first hash value with the second hash value.
4. The method of any of claims 1 to 3, wherein the data identification of the credit comprises one or both of a user ID and a credit history content data identification;
the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
5. The method of any of claims 1 to 3, wherein the first hash operation and the second hash operation are the same hash algorithm.
6. The credit data query device on the block chain is characterized in that the device is a client, and the device comprises an acquisition unit, a calculation unit, a comparison unit and a confirmation unit; wherein,
the acquisition unit is used for inquiring the credit data from a database according to the credit data identification, and the credit data in the database is acquired from a block chain;
the computing unit is used for carrying out first Hash operation according to the credit data to obtain a first Hash value;
the comparing unit compares a first hash value with a second hash value, wherein the second hash value is obtained by performing a second hash operation on the credit data stored in the block chain;
and the confirming unit is used for judging that the credit data acquired by the client from the database is the same as the credit data stored in the block chain when the first hash value is confirmed to be the same as the second hash value.
7. The apparatus according to claim 6, wherein the comparing unit compares the first hash value with the second hash value, and comprises:
and the comparison unit sends the first hash value to the block chain, and compares the first hash value with the second hash value on the block chain by checking the intelligent contract.
8. The apparatus according to claim 6, wherein the comparing unit compares the first hash value with the second hash value, and comprises:
and the comparison unit acquires a second hash value from the block chain and compares the first hash value with the second hash value.
9. The apparatus according to any one of claims 6 to 8, wherein the data identification of the credit comprises one or both of a user ID and a credit history content data identification;
the credit data comprises user data, credit content data and credit time data, and the credit content data comprises one or more of personal academic data, personal resume data and enterprise tax payment data.
10. The apparatus of any of claims 6 to 8, wherein the first hash operation and the second hash operation are the same hash algorithm.
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| CN111475530A (en) * | 2020-04-08 | 2020-07-31 | 珠海复旦创新研究院 | Traceability information verification query method, device and equipment based on block chain |
| CN111563130A (en) * | 2020-07-15 | 2020-08-21 | 成都无右区块链科技有限公司 | Data credible data management method and system based on block chain technology |
| CN112446702A (en) * | 2020-11-17 | 2021-03-05 | 深圳市元征科技股份有限公司 | Data verification method and device and node equipment |
| CN112818027A (en) * | 2020-12-31 | 2021-05-18 | 杭州趣链科技有限公司 | User credit inquiry method, device, server and machine-readable storage medium |
| CN112948423A (en) * | 2021-03-15 | 2021-06-11 | 亿海蓝（北京）数据技术股份公司 | Ship data query method and device and ship notarization system |
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