CN113094432B - Multi-party asynchronous consensus method and system based on same prefabrication rule - Google Patents
Multi-party asynchronous consensus method and system based on same prefabrication rule Download PDFInfo
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- CN113094432B CN113094432B CN202110364820.9A CN202110364820A CN113094432B CN 113094432 B CN113094432 B CN 113094432B CN 202110364820 A CN202110364820 A CN 202110364820A CN 113094432 B CN113094432 B CN 113094432B
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Abstract
The invention discloses a multiparty asynchronous consensus method and a multiparty asynchronous consensus system based on the same prefabricated rule.A sponsor collects a calculation rule for calculating target data, sets a calculation rule data reading interface, acquires a snapshot and uploads the snapshot to a data monitoring party; then sending the target data to a data supervisor, and calculating a first hash value by the data supervisor according to the snapshot; the initiating party initiates a consensus request to all consensus participants; the consensus participation party sends an acquisition request to the data supervisor, and the data supervisor sends a calculation rule data reading interface snapshot to the consensus participation party; reading the calculation rule by the consensus participants, and executing the calculation rule to obtain a second hash value; and comparing the second hash value with the first hash value. The method and the device are used for solving the problems that the consensus intensity of the consensus algorithm in the prior art is not high and the initiator and the data supervisor are easy to have large operation burden, and achieve the purposes of enhancing the reliability of target data, improving the consensus intensity and reducing the operation amount of the initiator.
Description
Technical Field
The invention relates to the field of block chains, in particular to a multi-party asynchronous consensus method and system based on the same prefabrication rule.
Background
The multi-party consensus mechanism is one of the cores of the blockchain technology. The consensus mechanism is a method for performing consensus recording and maintenance on elements such as target data, cognition, value, ideas and the like by adopting a logical, administrative and computational method of multi-party consensus in the process of agreeing on one aspect by different groups.
In the existing consensus mechanism process, an initiator performs calculation by a single party, the initiator initiates consensus requests to all consensus participants, and after all the consensus participants receive the consensus requests, the calculation results of the initiator are signed with digital signatures. In the process that the consensus participant signs the calculation result of the initiator, the consensus participant does not perform calculation verification on the calculation result of the initiator, so that the credibility of the target data is not enough, and the consensus strength in the block chain network is not high. In addition, in the prior art, the consensus initiator needs to perform data interaction with all consensus participants continuously, and the data supervisor needs to supervise each interaction process, so that the initiator and the data supervisor both have large operation burden.
Disclosure of Invention
The invention provides a multi-party asynchronous consensus method and a multi-party asynchronous consensus system based on the same prefabrication rule, which aim to solve the problems that in the prior art, the consensus algorithm has low consensus intensity and easily causes a large operation burden on both an initiator and a data monitoring party, and achieve the purposes of enhancing the reliability of target data, improving the consensus intensity and reducing the operation amount of the initiator.
The invention is realized by the following technical scheme:
the multiparty asynchronous consensus method based on the same prefabricated rule comprises the following steps:
s1, the initiator collects the calculation rules for calculating the target data, sets a calculation rule data reading interface, obtains the snapshot of the calculation rule data reading interface, and uploads the snapshot to the data supervisor;
s2, the initiator acquires target data and sends the target data to the data supervisor; the data monitoring party calculates the hash value of the target data according to the snapshot and records the hash value as a first hash value;
s3, initiating consensus requests by all consensus participants;
s4, after receiving the consensus request, the consensus participant sends a calculation rule data reading interface acquisition request to the data monitor, and the data monitor reviews the identity information of the consensus participant; if the audit is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating the consensus process;
s5, the consensus participant reads the calculation rule and executes the calculation rule to obtain a second hash value;
and S6, comparing the second hash value with the first hash value.
The invention provides a multi-party asynchronous consensus method based on the same prefabricated rule, aiming at the problems that the consensus intensity of the consensus algorithm in the prior art is not high and the initiator and the data supervisor have larger operation burden easily. After receiving the consensus request, the consensus participant sends a calculation rule data reading interface acquisition request to the data supervisor, and the data supervisor reviews the identity information of the consensus participant; if the audit is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating the consensus process; reading the calculation rule by the consensus participants, and executing the calculation rule to obtain a second hash value; and comparing the second hash value with the first hash value. The method introduces the data monitoring party as one of the main operation parties of the consensus calculation, abandons the mode that the consensus initiator needs to carry out a large amount of operations and transmission in the prior art, utilizes the characteristic that the data monitoring party needs to carry out the monitoring operation on each data interaction of the consensus calculation, optimizes the calculation mode that the initiator and the data monitoring party both have larger operation burden in the prior art into the calculation mode that the data monitoring party only bears larger operation burden, thereby fully reducing the operation amount of the initiator. The initiator uploads the snapshot information of the calculation rule data reading interface to the data supervisor in a mode of obtaining the snapshot of the calculation rule data reading interface, and the data supervisor performs subsequent calculation according to the snapshot information. In addition, the first hash value and the second hash value are compared, so that the consensus participant performs calculation verification on a calculation result of the snapshot of the calculation rule data reading interface obtained based on the initiator in the signing process, the credibility of the target data is ensured, the consensus strength in the block chain network is obviously improved, the rights of the consensus participant are protected fully, and the signing risk of the consensus participant is reduced.
Further, in step S4, if the audit is passed, the data administrator further sends the hardware environment information and the software environment information to the consensus participant. In the prior art, due to the particularity of a program algorithm, even if the same data is faced, the calculation results are different under different hardware environments or different software environments, so that errors of data consensus calculation are caused, and the errors which may exist directly cause consensus participants to have larger signature risks. Therefore, in the scheme, after the data monitoring party verifies the identity information of the consensus participants, the hardware environment information and the software environment information of the data monitoring party are sent to the consensus participants for the consensus participants to compare and judge so as to eliminate the influence of the difference between the hardware environment and the software environment on the calculation result.
Further, in step S6, if the comparison result is the same, the consensus participant signs the target data; and if the comparison results are different, the consensus participant does not sign the target data. The second hash value is different from the first hash value, which indicates that consensus fails and target data is not signed, so that the credibility of the target data is ensured, the consensus strength in the block chain network is obviously improved, and the signing risk of consensus participants is reduced.
Further, if the comparison results are different, the consensus participant extracts the hardware environment and the software environment of the consensus participant, compares the hardware environment and the software environment with the hardware environment and the software environment of the data monitoring party respectively, and outputs the comparison results. In the scheme: if the comparison results of the hardware environments are the same and the comparison results of the software environments are different, the difference of the hash value calculation results may be caused by the difference of the software type, the software version and the like, so that the output of the comparison results can prompt a user to check the software environment first to eliminate the interference of the software environment and reduce the misjudgment; otherwise, the same principle is applied. If the comparison results of the hardware environment and the software environment are different, prompting to check and verify the hardware environment and the software environment at the same time; if the comparison results of the hardware environment and the software environment are the same, the hash value is different and is not related to the hardware and the software, and the consensus does not need to be verified, so that the judgment can be directly rejected.
Further, the output method of the comparison result comprises:
a. judging the hardware environment of the consensus participant and the data monitoring party, and entering the step b if the hardware environment is the same; if the hardware environments are different, outputting a comparison result;
b. and judging the software environment of the consensus participant and the data monitoring party, and outputting a comparison result.
The scheme compares the hardware environment earlier, if the hardware environment is the same and compares the software environment again, has no meaning certainly on the premise that the hardware environment has great difference, and can effectively improve the comparison efficiency and reduce the meaningless calculation consumption.
Further, the comparison result of the hardware environment and the software environment of the consensus participant and the data monitoring party is fed back and output to the initiator; and the initiator reacquires or replaces the calculation rule according to the difference of the hardware environment and/or the software environment. In the research process, the inventor finds that although the interference of the hardware and software environment on a computing structure can be avoided if a mode of unifying the hardware and software configuration of an initiator, a data monitoring party and all the consensus participants is adopted in advance, the method has huge engineering and extremely high cost consumption, and can seriously increase the burden of each party to cause resource waste. Therefore, the method proposed in the present scheme is that when the hardware environment and/or the software environment are different, the calculation rule with stronger universality and pertinence is adopted to return to step S1 by means of re-collecting or replacing the calculation rule, and the consensus process is performed again; even, the calculation rule can be subjected to targeted compatibility adjustment according to the fed back hardware information and/or software information of a certain consensus participant so as to perform active matching; of course, the specific adjustment method is preset in the initiator system in advance, and the method can be implemented by selecting several common hardware configuration and software configuration preset compatible algorithms by those skilled in the art.
The multi-party asynchronous consensus system based on the same prefabrication rule comprises:
the system comprises an acquisition module, a data monitoring party and a data processing module, wherein the acquisition module is used for acquiring a calculation rule for calculating target data by an initiator, setting a calculation rule data reading interface, acquiring a snapshot of the calculation rule data reading interface and uploading the snapshot to the data monitoring party; the data monitoring system is also used for the initiator to acquire target data and send the target data to the data supervisor
The first calculation module is used for calculating the hash value of the target data according to the snapshot by the data monitoring party and recording the hash value as a first hash value;
the auditing module is used for receiving the consensus request initiated by the initiator by the consensus party and sending a calculation rule data reading interface acquisition request to the data supervisor, and the data supervisor audits the identity information of the consensus party; if the verification is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating;
the second calculation module is used for reading the calculation rule by the consensus participants and executing the calculation rule to obtain a second hash value;
and the comparison module is used for comparing the second hash value with the first hash value.
The system further comprises an extraction module used for extracting the hardware environment information and the software environment information of the data monitoring party; and if the audit of the audit module is passed, the extraction module sends the hardware environment information and the software environment information of the data supervisor to the consensus participant.
Further, the comparison module comprises:
the first comparison unit is used for comparing the hardware environments of the consensus participant and the data supervisor;
the second comparison unit is used for comparing the software environments of the consensus participant and the data monitoring party;
and the output unit is used for outputting the comparison result of the comparison module.
Further, the output unit is further configured to feed back comparison results of the first comparison unit and the second comparison unit to the initiator, and the initiator reacquires or changes the calculation rule according to a difference between a hardware environment and/or a software environment.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention discloses a multi-party asynchronous consensus method and a multi-party asynchronous consensus system based on the same prefabrication rule, wherein a data monitoring party is introduced as one of main operation parties of consensus calculation, a mode that a consensus initiator needs to perform a large amount of operations and transmission in the prior art is abandoned, the characteristic that the data monitoring party needs to perform supervision operation on each data interaction of the consensus calculation is utilized, and a calculation mode that both the initiator and the data monitoring party have larger operation burden in the prior art is optimized to only enable the data monitoring party to bear the larger operation burden, so that the operation amount of the initiator is fully reduced.
2. The multi-party asynchronous consensus method and the multi-party asynchronous consensus system based on the same prefabrication rule have the advantages that the initiator uploads the snapshot information of the calculation rule data reading interface to the data monitoring and managing party in a mode of obtaining the snapshot of the calculation rule data reading interface, the data monitoring and managing party only needs to perform subsequent calculation according to the snapshot information, and through the snapshot mode, the situation that the calculation acquisition process of the calculation rule is uploaded to the data monitoring and managing party is avoided, the data safety is protected for the initiator, and the possibility of uploading and losing of the algorithm is also avoided.
3. The multi-party asynchronous consensus method and the multi-party asynchronous consensus system based on the same prefabricated rule compare the first hash value with the second hash value, so that the consensus participants perform calculation verification on the calculation result of the snapshot of the calculation rule data reading interface obtained based on the initiator in the signing process, the credibility of target data is ensured, the consensus strength in a block chain network is remarkably improved, the right of the consensus participants is favorably and fully protected, and the signing risk of the consensus participants is reduced.
4. The invention relates to a multi-party asynchronous consensus method and a multi-party asynchronous consensus system based on the same prefabrication rule, wherein after a data monitoring party verifies the identity information of a consensus participant, the hardware environment information and the software environment information of the data monitoring party are also sent to the consensus participant for the comparison and judgment of the consensus participant so as to eliminate the influence of the difference of hardware and software environments on a calculation result. When the hardware environment and/or the software environment are different, the consensus process is carried out again by adopting the calculation rule with stronger universality and pertinence in a mode of re-collecting or replacing the calculation rule; or according to the fed back hardware information and/or software information of a certain consensus participant, carrying out targeted compatibility adjustment on the calculation rule so as to carry out active matching.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic flow chart of an embodiment of the present invention;
FIG. 2 is a system diagram of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and the accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limiting the present invention.
Example 1:
the multiparty asynchronous consensus method based on the same pre-made rule as shown in fig. 1 comprises:
s1, the initiator collects the calculation rules for calculating the target data, sets a calculation rule data reading interface, obtains the snapshot of the calculation rule data reading interface, and uploads the snapshot to the data supervisor;
s2, the initiator acquires target data and sends the target data to the data supervisor; the data monitoring party calculates the hash value of the target data according to the snapshot and records the hash value as a first hash value;
s3, initiating consensus requests by all consensus participants;
s4, after receiving the consensus request, the consensus participant sends a calculation rule data reading interface acquisition request to the data monitor, and the data monitor reviews the identity information of the consensus participant; if the audit is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating the consensus process;
s5, the consensus participant reads the calculation rule and executes the calculation rule to obtain a second hash value;
and S6, comparing the second hash value with the first hash value.
Example 2:
the multi-party asynchronous consensus method based on the same prefabrication rule is based on the embodiment 1: in step S4, if the audit is passed, the data administrator further sends the hardware environment information and the software environment information to the consensus participant.
In step S6, if the comparison result is the same, the consensus participant signs the target data; and if the comparison results are different, the consensus participant does not sign the target data. And if the comparison results are different, the consensus participant extracts the hardware environment and the software environment of the consensus participant, respectively compares the hardware environment and the software environment with the hardware environment and the software environment of the data monitoring party, and outputs the comparison results. The output method of the comparison result comprises the following steps:
a. judging the hardware environment of the consensus participant and the data monitoring party, and entering the step b if the hardware environment is the same; if the hardware environments are different, outputting a comparison result;
b. and judging the software environment of the consensus participant and the data monitoring party, and outputting a comparison result.
In addition, when the comparison results in the step S6 are different, the comparison results of the hardware environment and the software environment of the consensus participant and the data monitoring party are fed back and output to the initiator; and the initiator reacquires or replaces the calculation rule according to the difference of the hardware environment and/or the software environment.
Example 3:
the multi-party asynchronous consensus system based on the same pre-made rules as shown in fig. 2 comprises:
the system comprises an acquisition module, a data monitoring party and a data processing module, wherein the acquisition module is used for acquiring a calculation rule for calculating target data by an initiator, setting a calculation rule data reading interface, acquiring a snapshot of the calculation rule data reading interface and uploading the snapshot to the data monitoring party; the data monitoring system is also used for the initiator to acquire target data and send the target data to the data supervisor
The first calculating module is used for calculating the hash value of the target data according to the snapshot by the data monitoring party and recording the hash value as a first hash value;
the auditing module is used for receiving the consensus request initiated by the initiator by the consensus participant, sending a calculation rule data reading interface acquisition request to the data supervisor, and auditing the identity information of the consensus participant by the data supervisor; if the audit is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating;
the second calculation module is used for reading the calculation rule by the consensus participants and executing the calculation rule to obtain a second hash value;
and the comparison module is used for comparing the second hash value with the first hash value.
The extraction module is used for extracting hardware environment information and software environment information of the data monitoring party; and if the audit of the audit module is passed, the extraction module sends the hardware environment information and the software environment information of the data supervisor to the consensus participant.
Wherein, the comparison module can be divided into:
the first comparison unit is used for comparing the hardware environments of the consensus participant and the data supervisor;
the second comparison unit is used for comparing the software environments of the consensus participant and the data monitoring party;
and the output unit is used for outputting the comparison result of the comparison module. The output unit is also used for feeding back the comparison results of the first comparison unit and the second comparison unit to the initiator, and the initiator acquires or replaces the calculation rules again according to the difference of the hardware environment and/or the software environment.
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.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
Claims (10)
1. The multiparty asynchronous consensus method based on the same prefabricated rule is characterized by comprising the following steps:
s1, the initiator collects the calculation rules for calculating the target data, sets a calculation rule data reading interface, obtains the snapshot of the calculation rule data reading interface, and uploads the snapshot to the data supervisor;
s2, the initiator acquires target data and sends the target data to the data supervisor; the data monitoring party calculates the hash value of the target data according to the snapshot and records the hash value as a first hash value;
s3, initiating consensus requests by all consensus participants;
s4, after receiving the consensus request, the consensus participant sends a calculation rule data reading interface acquisition request to the data monitor, and the data monitor reviews the identity information of the consensus participant; if the audit is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating the consensus process;
s5, the consensus participant reads the calculation rule and executes the calculation rule to obtain a second hash value;
and S6, comparing the second hash value with the first hash value.
2. The multiparty asynchronous consensus method according to claim 1, wherein the data administrator further sends hardware environment information and software environment information to the consensus participants if the audit is passed in step S4.
3. The multiparty asynchronous consensus method according to claim 2, wherein in step S6, if the comparison result is the same, the consensus participant signs the target data; and if the comparison results are different, the consensus participant does not sign the target data.
4. The multi-party asynchronous consensus method based on the same pre-established rules as claimed in claim 3, wherein if the comparison results are different, the consensus participants extract their own hardware environment and software environment, compare with the hardware environment and software environment of the data monitoring party, respectively, and output the comparison results.
5. The multiparty asynchronous consensus method based on the same pre-fabricated rule as claimed in claim 4, wherein the output method of the comparison result comprises:
a. judging the hardware environment of the consensus participant and the data monitoring party, and entering the step b if the hardware environment is the same; if the hardware environments are different, outputting a comparison result;
b. and judging the software environment of the consensus participant and the data monitoring party, and outputting a comparison result.
6. The multiparty asynchronous consensus method based on the same prefabrication rule as claimed in claim 4, wherein the results of comparing the hardware environment and the software environment of the consensus participant with the data monitoring party are fed back and outputted to the initiator; and the initiator reacquires or replaces the calculation rule according to the difference of the hardware environment and/or the software environment.
7. The multi-party asynchronous consensus system based on the same prefabrication rule is characterized by comprising the following steps:
the system comprises an acquisition module, a data monitoring party and a data processing module, wherein the acquisition module is used for acquiring a calculation rule for calculating target data by an initiator, setting a calculation rule data reading interface, acquiring a snapshot of the calculation rule data reading interface and uploading the snapshot to the data monitoring party; the data monitoring system is also used for the initiator to acquire target data and send the target data to the data supervisor
The first calculation module is used for calculating the hash value of the target data according to the snapshot by the data monitoring party and recording the hash value as a first hash value;
the auditing module is used for receiving the consensus request initiated by the initiator by the consensus participant, sending a calculation rule data reading interface acquisition request to the data supervisor, and auditing the identity information of the consensus participant by the data supervisor; if the verification is passed, sending a calculation rule data reading interface snapshot to the consensus participant; if the audit is not passed, terminating;
the second calculation module is used for reading the calculation rule by the consensus participants and executing the calculation rule to obtain a second hash value;
and the comparison module is used for comparing the second hash value with the first hash value.
8. The multiparty asynchronous consensus system based on the same pre-made rule as claimed in claim 7, further comprising an extraction module for extracting hardware environment information and software environment information of the data administrator; if the auditing module passes the auditing, the extraction module sends the hardware environment information and the software environment information of the data monitoring party to the consensus participant.
9. The multi-party asynchronous consensus system based on the same pre-fabricated rule of claim 7, wherein said comparison module comprises:
the first comparison unit is used for comparing the hardware environments of the consensus participant and the data monitoring party;
the second comparison unit is used for comparing the software environments of the consensus participant and the data monitoring party;
and the output unit is used for outputting the comparison result of the comparison module.
10. The multi-party asynchronous consensus system based on the same pre-established rules of claim 9, wherein the output unit is further configured to feed back the comparison results of the first comparison unit and the second comparison unit to the initiator, and the initiator re-collects or replaces the calculation rules according to the difference between the hardware environment and/or the software environment.
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