CN111210352A - Economic data statistical device and method based on block chain - Google Patents
Economic data statistical device and method based on block chain Download PDFInfo
- Publication number
- CN111210352A CN111210352A CN202010024886.9A CN202010024886A CN111210352A CN 111210352 A CN111210352 A CN 111210352A CN 202010024886 A CN202010024886 A CN 202010024886A CN 111210352 A CN111210352 A CN 111210352A
- Authority
- CN
- China
- Prior art keywords
- data
- statistical
- server
- counted
- database
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000012795 verification Methods 0.000 claims abstract description 20
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000007619 statistical method Methods 0.000 claims description 8
- 238000013075 data extraction Methods 0.000 claims description 6
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013475 authorization Methods 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 230000003993 interaction 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
- 230000000750 progressive effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Marketing (AREA)
- Economics (AREA)
- Technology Law (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Strategic Management (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Bioethics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to the technical field of block chains. The utility model provides an economic data statistical device and method based on block chain, wherein, the method includes: the database provided by the invention receives transaction data from a client, wherein the transaction data is to-be-counted data generated by the database by using a private key to generate signature information, and the private key is generated by the server aiming at the database and is sent to the database; the server verifies the signature information by using a public key corresponding to the private key, after the verification is passed, the data to be counted are queued into the data queue to wait for further processing of the counting end, and the public key is generated by the counting end and is sent to the server; and the statistical end processes the data in the data queue to obtain a statistical result. The technical scheme provides an economic data statistics method based on the asymmetric encryption characteristic of the block chain technology, and economic data statistics can be carried out under the condition that data safety is guaranteed.
Description
Technical Field
The present invention relates to the field of block chain technology, and more particularly, to an apparatus and method for counting economic data based on a block chain.
Background
At present, with the continuous maturity of computer information technology, the computer information technology is applied in more and more fields, data statistics is no exception, data can be prevented from being tampered by transmitting data through a block chain technology, transaction information stored on a block chain is public due to the asymmetric encryption characteristic of the block chain technology, but account identity information is highly encrypted and can be accessed only under the authorization of a data owner, so that the safety and the privacy of data are ensured, the application of the block chain technology in the field of economic data can ensure the safety and the reliability of the information, but the block chain cannot realize the rapid statistics and analysis of the data, and the block chain needs to be realized by means of a statistical technology. Therefore, it is desirable to provide an economic data statistics device and method based on block chains to solve the above problems.
Disclosure of Invention
The invention discloses an economic data statistical device and method based on a block chain, and aims to at least solve the technical problems of fast statistical analysis of economic data and guarantee of accuracy and safety of statistical data in the prior art.
In order to achieve the above object, an aspect of the present invention provides an economic data statistics apparatus based on a blockchain, including: the device comprises a receiving module, a verification module, a statistic module, a sending module and a switching module; the receiving module is used for receiving transaction data stored in a database, the transaction data is data to be counted after the database generates signature information by using a private key, and the private key is generated by the server aiming at the database and is sent to the database; the verification module verifies the signature information by using a public key, and queues the data passing the verification to a data queue, wherein the public key is generated by a statistical end and is sent to the server; the statistical module is arranged in the statistical end and is used for carrying out statistics on the data to be counted after the verification is passed to obtain a statistical result; the sending module sends the statistical result of the statistical module to a database; and the switching module switches the data extraction path of the statistical module from the server to a backup server when the server has a problem.
In the technical scheme, the switching module can seamlessly switch the data extraction path to the backup server when the server fails, so that the problems of loss and the like of the data to be counted are avoided, and the accuracy and the safety of the data to be counted can be guaranteed.
As an optional technical solution of the present invention, the statistical module is further configured to: and after the statistical result is obtained, correspondingly writing the result to be counted into the block chain.
As an optional technical solution of the present invention, the statistical module is further configured to: and after the statistical result is written into the block chain, after an inquiry request sent by an inquiry end is received, acquiring an inquiry result from the block chain according to the inquiry request, and feeding the inquiry result back to the inquiry end.
As an optional technical solution of the present invention, the receiving module is specifically configured to: and receiving the N data to be counted sent by the database, wherein N is more than or equal to 1.
Correspondingly, the technical scheme of one aspect of the invention provides an economic data statistical method based on a block chain, which comprises the following steps: the method comprises the steps that a database receives transaction data from a client, the transaction data are data to be counted after signature information is generated by the database through a private key, and the private key is generated by a server aiming at the database and is sent to the database;
the server verifies the signature information by using a public key corresponding to the private key, after the verification is passed, the data to be counted are queued into the data queue to wait for further processing of the counting end, and the public key is generated by the counting end and is sent to the server; after the data to be counted are queued to a data queue, the server gives each data to be counted a unique identification ID, and the data to be counted, which is given the unique identification ID, is backed up to the data queue of a backup server; the statistical end processes the data in the data queue to obtain a statistical result; after the statistical end obtains the statistical result, the processed data are sent to a backup server, and the data which are the same as the processed data in the backup server are deleted by comparing the unique identification ID; and when the server fails, the statistical end acquires the data to be counted from the data queue of the backup server and processes the data to obtain a statistical result.
In the technical scheme, the unique identification ID given by the server to the data to be counted can be used as a basis for updating the backup server, the processed data are sent to the backup server after the data to be counted in the server are processed by the counting end, and the backup server can delete the data which are the same as the processed data through the unique identification ID, so that the data in the backup server can be updated timely, errors are prevented from occurring in the data counting process, and the accuracy of a counting result is ensured.
As an optional technical solution of the present invention, after obtaining the statistical result, the statistical end further includes: and the statistical end writes the result to be counted into a block chain, acquires a query result from the block chain according to the query request after receiving the query request sent by the query end, and feeds the query result back to the query end.
As an optional technical solution of the present invention, the verifying, by the server, the signature information using the public key corresponding to the private key includes: and the server verifies whether the transaction data is the data to be counted in the database by using the secret key, if the verification is successful, the signature information passes the verification, and the data to be counted is sent to the data queue to wait for the processing of the counting end.
As an optional technical solution of the present invention, the number of the data to be counted is N, where N is greater than or equal to 1.
As an optional technical solution of the present invention, the new data to be counted in the data queue in the server is synchronized to the data queue of the backup server in real time.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description 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 diagram of a system architecture provided by an embodiment of the present invention;
fig. 2 is a schematic flowchart of an apparatus and a method for block chain-based economic data statistics according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an economic data statistics apparatus based on a block chain according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description 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.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein, and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by one of ordinary skill in the art from one or more embodiments of the disclosure without making any creative effort shall fall within the scope of protection of the disclosure.
It should be noted that: in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described herein. In some other embodiments, the method may include more or fewer steps than those described herein. Moreover, a single step described in this specification may be broken down into multiple steps for description in other embodiments; multiple steps described in this specification may be combined into a single step in other embodiments.
Referring to fig. 1, fig. 1 illustrates a block chain network, and in an embodiment of the present specification, a system architecture to which an economic data statistical method based on a block chain is applied is provided, where the system architecture includes a client, a database, a server, a statistical end, and a query end, and an embodiment of the present invention is used to perform statistics on data to be statistical in the database.
And the client is used by the client to carry out transaction, and transaction data are generated in the transaction process.
And the database stores the transaction data in the client, and the data to be counted generates signature information in the database through a secret key.
The server is used for receiving the transaction data sent out from the database, identifying the data to be counted through the public key, queuing the data to be counted to the data queue, endowing each data to be counted in the data queue with a unique identification ID, and waiting for the processing of the counting module.
And the backup server synchronizes the data to a data queue of the backup server for backup after the server provides the unique identification ID for the data to be counted, so that the data is prevented from being problematic due to the server.
And the statistical end processes the data to be statistically obtained in the server data queue and stores the statistical result into the block chain, and when the server fails, the statistical end can switch the path to extract the data to be statistically obtained from the backup server for processing.
And the query end writes the statistical result into the block chain, acquires the query result from the block chain according to the query request after receiving the query request sent by the query end, and feeds the query result back to the query end.
The block chain is a chain formed by a series of blocks, and each block records the hash value of the block besides the data of the block, so that the chain is formed. The block chain is used for storing data and guaranteeing tamper resistance of the data.
Referring to fig. 2, fig. 2 shows a block chain-based economic data statistics method flow, which is executed by the database, the server, and the statistics terminal.
In the embodiment of the invention, a database generates signature information which can be discriminated by a server by adopting a private key, the private key is generated by the server aiming at the database, the generated private key is sent to the database by the server, the private key signs data to be counted in the database to generate signature information, the information to be counted after the signature information is generated is sent to the server, a public key in the server verifies the signature information of the data to be counted, whether the data to be counted is the data to be counted sent from the database is judged, the successfully verified data is arranged in a data queue of the server, and a data processing module is waited for carrying out data processing.
As shown in fig. 2, the specific process is as follows:
the database signs the data to be counted by using a private key thereof, specifically, the database may calculate a hash value of a character string of the data to be counted, and signs the hash value according to the private key to generate signature information.
102, the database sends the data after generating the signature information to a server, the server verifies the signature information by using a public key corresponding to a private key, and the data to be counted are queued to a data queue after the verification is passed;
the server judges whether the data is the data to be counted in the database by verifying the signature information, if the signature information passes the verification, the data is queued to a data queue to wait for the counting module to process, and if the signature information does not pass the verification, the data is not counted.
103, after the server determines the signature information, the data to be counted are queued to a data queue, after the server gives a unique identification ID to each data to be counted, the data to be counted, which is given the unique identification ID, is backed up to a backup database, the data in the data queue of the server is processed by a counting module, the counting module determines a counting result according to a preset algorithm, and after the result is determined, the counting result is written into a block chain so as to facilitate the query end to call the data information.
And 104, the statistical module sends the processed data to the backup server, and deletes the same data in the backup server through the comparison of the unique identification ID, so that the data in the backup server can be updated in time.
And 105, when the server fails, switching the data extraction path from the server to a backup server by a switching module on the counting end, continuing to process the data, synchronizing the data to be counted on the backup server to the server by the backup server after the server is recovered to be normal, and switching the data extraction path to the server again by the counting end.
In the embodiment of the invention, when the statistical end writes data into the block chain, an intelligent contract for data evidence storage can be called to realize the interaction between the data on the chain and the data under the chain. Of course, other blockchain components for providing data verification functionality are possible.
Based on the same inventive concept, fig. 3 exemplarily shows a specific structure of an apparatus for block chain based economic data statistics, which can perform the flow of the method for block chain based economic data statistics according to an embodiment of the present invention.
The device comprises:
a receiving module 201, a verifying module 202, a counting module 203, a sending module 204 and a switching module 205;
the receiving module 201 is configured to receive data to be counted from the database with signature information, where the signature information is generated by a key, and the key is generated by the server for the data to be counted in the database.
The verification module 202 verifies the signature information by using the public key corresponding to the private key, and queues the data to be counted after the verification is passed to the data queue.
The statistical module 203 performs statistics on data to be counted in the server data queue, writes the statistical result into the block chain after obtaining the statistical result, obtains a query result from the block chain according to the query request after the query end sends a data query request, and feeds the query result back to the query end.
The sending module 204 sends the statistical result to the query end.
And the switching module 205 switches the data extraction path of the statistical module to the backup server when the server fails.
It will also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the data processing apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to part of the description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is only for the purpose of illustrating the preferred embodiments of the one or more embodiments of the present disclosure, and is not intended to limit the scope of the one or more embodiments of the present disclosure, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the one or more embodiments of the present disclosure should be included in the scope of the one or more embodiments of the present disclosure.
Claims (9)
1. An economic data statistics device based on block chain, comprising: the device comprises a receiving module, a verification module, a statistic module, a sending module and a switching module;
the receiving module is used for receiving transaction data stored in a database, the transaction data is data to be counted after the database generates signature information by using a private key, and the private key is generated by the server aiming at the database and is sent to the database;
the verification module verifies the signature information by using a public key, and queues the data passing the verification to a data queue, wherein the public key is generated by a statistical end and is sent to the server;
the statistical module is arranged in the statistical end and is used for carrying out statistics on the data to be counted after the verification is passed to obtain a statistical result;
the sending module sends the statistical result of the statistical module to a database;
and the switching module switches the data extraction path of the statistical module from the server to a backup server when the server has a problem.
2. The block chain based economic data statistic device according to claim 1, wherein said statistic module is further configured to:
and after the statistical result is obtained, correspondingly writing the result to be counted into the block chain.
3. The block chain based economic data statistic device according to claim 1, wherein said statistic module is further configured to:
and after the statistical result is written into the block chain, after an inquiry request sent by an inquiry end is received, acquiring an inquiry result from the block chain according to the inquiry request, and feeding the inquiry result back to the inquiry end.
4. The economic data statistical device based on block chains according to claim 1, wherein the receiving module is specifically configured to:
and receiving the N data to be counted sent by the database, wherein N is more than or equal to 1.
5. A block chain-based economic data statistical method is characterized by comprising the following steps: the method comprises the steps that a database receives transaction data from a client, the transaction data are data to be counted after signature information is generated by the database through a private key, and the private key is generated by a server aiming at the database and is sent to the database;
the server verifies the signature information by using a public key corresponding to the private key, after the verification is passed, the data to be counted are queued into the data queue to wait for further processing of the counting end, and the public key is generated by the counting end and is sent to the server;
after the data to be counted are queued to a data queue, the server gives each data to be counted a unique identification ID, and the data to be counted, which is given the unique identification ID, is backed up to the data queue of a backup server;
the statistical end processes the data in the data queue to obtain a statistical result;
after the statistical end obtains the statistical result, the processed data are sent to a backup server, and the data which are the same as the processed data in the backup server are deleted by comparing the unique identification ID;
and when the server fails, the statistical end acquires the data to be counted from the data queue of the backup server and processes the data to obtain a statistical result.
6. The block chain-based economic data statistical method according to claim 5, wherein the statistical end further comprises, after obtaining the statistical result:
and the statistical end writes the result to be counted into a block chain, acquires a query result from the block chain according to the query request after receiving the query request sent by the query end, and feeds the query result back to the query end.
7. The economic data statistical method based on block chains as claimed in claim 5, wherein the verifying signature information by the server using the public key corresponding to the private key comprises:
and the server verifies whether the transaction data is the data to be counted in the database by using the secret key, if the verification is successful, the signature information passes the verification, and the data to be counted is sent to the data queue to wait for the processing of the counting end.
8. The economic data statistical method based on block chains as claimed in claim 5, wherein there are N data to be statistically counted, N is greater than or equal to 1.
9. The economic data statistical method based on block chains as claimed in claim 5, wherein the new data to be statistical in the data queue of the server is synchronized to the data queue of the backup server in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010024886.9A CN111210352A (en) | 2020-01-10 | 2020-01-10 | Economic data statistical device and method based on block chain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010024886.9A CN111210352A (en) | 2020-01-10 | 2020-01-10 | Economic data statistical device and method based on block chain |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111210352A true CN111210352A (en) | 2020-05-29 |
Family
ID=70786106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010024886.9A Pending CN111210352A (en) | 2020-01-10 | 2020-01-10 | Economic data statistical device and method based on block chain |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111210352A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101741536A (en) * | 2008-11-26 | 2010-06-16 | 中兴通讯股份有限公司 | Data level disaster-tolerant method and system and production center node |
| CN102299904A (en) * | 2010-06-23 | 2011-12-28 | 阿里巴巴集团控股有限公司 | System and method for realizing service data backup |
| CN103970852A (en) * | 2014-05-06 | 2014-08-06 | 浪潮电子信息产业股份有限公司 | Data deduplication method of backup server |
| CN110569666A (en) * | 2019-09-03 | 2019-12-13 | 深圳前海微众银行股份有限公司 | data statistics method and device based on block chain |
-
2020
- 2020-01-10 CN CN202010024886.9A patent/CN111210352A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101741536A (en) * | 2008-11-26 | 2010-06-16 | 中兴通讯股份有限公司 | Data level disaster-tolerant method and system and production center node |
| CN102299904A (en) * | 2010-06-23 | 2011-12-28 | 阿里巴巴集团控股有限公司 | System and method for realizing service data backup |
| CN103970852A (en) * | 2014-05-06 | 2014-08-06 | 浪潮电子信息产业股份有限公司 | Data deduplication method of backup server |
| CN110569666A (en) * | 2019-09-03 | 2019-12-13 | 深圳前海微众银行股份有限公司 | data statistics method and device based on block chain |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110826111B (en) | Test supervision method, device, equipment and storage medium | |
| US10680812B2 (en) | Event attestation for an electronic device | |
| CN111433803B (en) | Blockchain communications and ordering | |
| US10212145B2 (en) | Methods and systems for creating and exchanging a device specific blockchain for device authentication | |
| CN110049066B (en) | Resource access authorization method based on digital signature and block chain | |
| CN112507391B (en) | Block chain-based electronic signature method, system, device and readable storage medium | |
| US20180249190A1 (en) | Method and apparatus for cloud storage and cloud download of multimedia data | |
| CN114372296B (en) | Block chain-based user behavior data auditing method and system | |
| CN108009445B (en) | Semi-centralized trusted data management system | |
| CN111814141B (en) | Off-line process evidence obtaining and storing method based on block chain | |
| CN109447809B (en) | Video active identification method combined with block chain | |
| US12013972B2 (en) | System and method for certifying integrity of data assets | |
| CN110502889B (en) | Login method, login device, computer readable storage medium and computer equipment | |
| CN109308421A (en) | A kind of information tamper resistant method, device, server and computer storage medium | |
| Andriamilanto et al. | A large-scale empirical analysis of browser fingerprints properties for web authentication | |
| US11343107B2 (en) | System for method for secured logging of events | |
| CN108737079B (en) | Distributed quantum key management system and method | |
| CN109254893B (en) | Service data auditing method, device, server and storage medium | |
| CN111198862A (en) | File storage method and device based on block chain, terminal equipment and medium | |
| CN113987062A (en) | Data uplink storage method, system, device and storage medium | |
| CN111210352A (en) | Economic data statistical device and method based on block chain | |
| CN111818025A (en) | User terminal detection method and device | |
| CN109284630B (en) | File editing method, device and system and readable storage medium | |
| CN114240349A (en) | Ecological environment supervision method and system based on block chain | |
| JP2022020604A (en) | Decentralized electronic contract certification platform |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200529 |
|
| RJ01 | Rejection of invention patent application after publication |