CN108647967A - Select the method, apparatus and common recognition node of block chain common recognition mechanism - Google Patents
Select the method, apparatus and common recognition node of block chain common recognition mechanism Download PDFInfo
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- CN108647967A CN108647967A CN201810441528.0A CN201810441528A CN108647967A CN 108647967 A CN108647967 A CN 108647967A CN 201810441528 A CN201810441528 A CN 201810441528A CN 108647967 A CN108647967 A CN 108647967A
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- 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
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Abstract
Method, apparatus, common recognition node and the computer readable storage medium for mechanism of knowing together present disclose provides a kind of selection block chain, are related to field of computer technology.Selection block chain common recognition mechanism method include：After receiving business datum, according to the common recognition mechanism impact factor information in business datum, the common recognition mechanism grade of business datum is determined；Using the common recognition mechanism grade of business datum, corresponding block chain common recognition mechanism is selected for business datum from all alternative block chain common recognition mechanism.The disclosure can dynamically select suitable block chain common recognition mechanism, to reduce the resource overhead caused by common recognition mechanism in block chain technology in real time according to the common recognition mechanism impact factor information in business datum.
Description
Technical field
This disclosure relates to which field of computer technology, more particularly to a kind of method, apparatus of selection block chain common recognition mechanism are total to
Know node and computer readable storage medium.
Background technology
As block chain technology is in the application of every profession and trade, block chain technology is greatly improved.But block chain skill at present
The raising of art is confined to internal build and realization of block chain etc. always.Currently, multiple ministries and commissions such as Ministry of Industry and Information and the country
Outer more industry giants set up special team or laboratory, actively push forward the research of block chain technology and its application.Block chain
It has been applied to the multiple fields such as supply chain management, food security, information propagation.
Existing block chain technology is used by many manufacturers in real work life, and user can be from the area that producer provides
Block chain information is checked in block chain product.
Invention content
Applicant passes through the study found that block chain technology can cause larger resource overhead in the relevant technologies.
The technical problem that the disclosure solves is how to reduce resource overhead caused by block chain technology.
According to the one side of the embodiment of the present disclosure, a kind of method of selection block chain common recognition mechanism is provided, including：
After receiving business datum, according to the common recognition mechanism impact factor information in business datum, the common recognition mechanism of business datum is determined
Grade；It is opposite for business datum selection from all alternative block chain common recognition mechanism using the common recognition mechanism grade of business datum
The block chain common recognition mechanism answered.
In some embodiments, according to the common recognition mechanism impact factor information in business datum, being total to for business datum is determined
Knowledge mechanism grade includes：Using common recognition mechanism impact factor information, determine business datum in each common recognition mechanism impact factor item
Under common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight；It will common recognition mechanism impact factor numerical value, common recognition mechanism
Impact factor weight is weighted summation, obtains the common recognition mechanism grade of business datum.
In some embodiments, common recognition mechanism impact factor includes user type rank, information security rank, data type
Rank and type of service rank.
In some embodiments, it is grade being total to not less than business datum for the block chain common recognition mechanism that business datum selects
Knowledge mechanism grade.
In some embodiments, this method further includes：Predefine the common recognition mechanism of each alternative block chain common recognition mechanism
The common recognition mechanism grade of grade, each alternative block chain common recognition mechanism is proportionate with common recognition mechanism complexity.
In some embodiments, this method further includes：The block chain common recognition mechanism of selection is reported into user；Receive user
The block chain common recognition mechanism feedback information of transmission；According to selected block chain common recognition mechanism and block chain common recognition mechanism feedback
Information selects block chain common recognition mechanism for business datum again.
According to the other side of the embodiment of the present disclosure, a kind of common recognition node is provided, including：Mechanism grade determines mould
Block is configured as after receiving business datum, according to the common recognition mechanism impact factor information in business datum, determines business number
According to common recognition mechanism grade；Common recognition mechanism selecting module is configured as the common recognition mechanism grade using business datum, from all standby
In the block chain common recognition mechanism of constituency corresponding block chain common recognition mechanism is selected for business datum.
In some embodiments, mechanism level determination module is configured as：Using common recognition mechanism impact factor information, determine
Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor of the business datum under each common recognition mechanism impact factor item are weighed
Weight；Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight are weighted summation, obtain the common recognition of business datum
Mechanism grade.
In some embodiments, common recognition mechanism impact factor includes user type rank, information security rank, data type
Rank and type of service rank.
In some embodiments, it is grade being total to not less than business datum for the block chain common recognition mechanism that business datum selects
Knowledge mechanism grade.
In some embodiments, common recognition node further includes alternate mechanism level determination module, is configured as：It predefines each
The common recognition mechanism grade of a alternative block chain common recognition mechanism, the common recognition mechanism grade and common recognition of each alternative block chain common recognition mechanism
Mechanism complexity is proportionate.
In some embodiments, common recognition node further includes common recognition mechanism gravity treatment module, is configured as：By the block chain of selection
Common recognition mechanism reports to user；Receive the block chain common recognition mechanism feedback information that user sends；It is total according to selected block chain
Knowledge mechanism and block chain common recognition mechanism feedback information are that business datum selects block chain common recognition mechanism again.
According to the another aspect of the embodiment of the present disclosure, a kind of device of selection block chain common recognition mechanism is provided, including：
Memory；And it is coupled to the processor of memory, processor is configured as being based on instruction stored in memory, before execution
The method for the selection block chain common recognition mechanism stated.
According to another aspect of the embodiment of the present disclosure, a kind of computer readable storage medium is provided, wherein computer
Readable storage medium storing program for executing is stored with computer instruction, and selection block chain common recognition mechanism above-mentioned is realized in instruction when being executed by processor
Method.
The disclosure can dynamically select suitable area in real time according to the common recognition mechanism impact factor information in business datum
Block chain common recognition mechanism, to reduce the resource overhead caused by common recognition mechanism in block chain technology.
By referring to the drawings to the detailed description of the exemplary embodiment of the disclosure, the other feature of the disclosure and its
Advantage will become apparent.
Description of the drawings
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some disclosed embodiments without having to pay creative labor, may be used also for those of ordinary skill in the art
With obtain other attached drawings according to these attached drawings.
Fig. 1 shows relevant block chain Technical Architecture schematic diagram.
The flow diagram for the method for mechanism of knowing together Fig. 2 shows the selection block chain of an embodiment of the present disclosure.
Fig. 3 shows an application examples of the common recognition mechanism grade of determining business datum.
Fig. 4 shows the flow diagram of the method for the selection block chain common recognition mechanism of another embodiment of the disclosure.
Fig. 5 shows the Technical Architecture schematic diagram of the block chain of one embodiment.
Fig. 6 shows the structural schematic diagram of the common recognition node of an embodiment of the present disclosure.
Fig. 7 shows the structural schematic diagram of the device of the selection block chain common recognition mechanism of an embodiment of the present disclosure.
Specific implementation mode
Below in conjunction with the attached drawing in the embodiment of the present disclosure, the technical solution in the embodiment of the present disclosure is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only disclosure a part of the embodiment, instead of all the embodiments.Below
Description only actually at least one exemplary embodiment is illustrative, is never used as to the disclosure and its application or makes
Any restrictions.Based on the embodiment in the disclosure, those of ordinary skill in the art are not making creative work premise
Lower obtained all other embodiment belongs to the range of disclosure protection.
Block chain is the novel of the computer technologies such as Distributed Storage, point-to-point transmission, common recognition mechanism, Encryption Algorithm
Application model.At present using more block chain technology have hyperledger fabric, Sawtooth Lake, lroha,
Corda etc..Fig. 1 shows block chain Technical Architecture schematic diagram in the related technology.Block chain technology frame in the related technology
Structure includes application layer, excitation layer, common recognition layer, safe floor, data Layer.The particular technique details such as Fig. 1 of each layer involved in
It is shown.
Inventor studies the common recognition mechanism in block chain technology.So-called common recognition mechanism is in block catenary system
Realize the mathematical algorithm established trust between different nodes, obtain equity.It has been recognised by the inventors that existing block chain technology largely makes
With single internal consensus mechanism, the selection for mechanism of knowing together lacks flexibility.Some common recognition mechanism are a bit more complicated, need to disappear
Consume more resource and relatively slow；Some common recognition mechanism are then fairly simple, consume fewer resource and relatively rapid.If some are used
Family, some business do not need relatively stringent common recognition mechanism, and the common recognition mechanism of single inside may lead to all users, own
Business can all use relative complex stringent common recognition mechanism to lead to the wasting of resources to cause larger resource overhead.For this purpose,
Inventor has carried out quantization modulation according to the complexity of common recognition mechanism to common recognition mechanism, complicated common recognition mechanism is assigned higher
Common recognition mechanism grade, the mechanism that will simply know together assigns lower common recognition mechanism grade, to be moved in real time according to business datum
The suitable block chain common recognition mechanism of selection of state.
The method that the selection block chain common recognition mechanism of an embodiment of the present disclosure is described with reference to Fig. 2, to illustrate how
Reduce the resource overhead caused by common recognition mechanism in block chain technology.
The flow diagram for the method for mechanism of knowing together Fig. 2 shows the selection block chain of an embodiment of the present disclosure.Such as Fig. 2
Shown, the method for the selection block chain common recognition mechanism in the embodiment includes step S202~step S208.
In step S202, common recognition node receives business datum.
For example, common recognition node A can be from other common recognition Node-B receiver business datums.There can be common recognition in business datum
Mechanism impact factor information can specifically include member's type identification, security type mark, data type mark and service class
Type identifies.
In step S204, common recognition node determines business number according to the common recognition mechanism impact factor information in business datum
According to common recognition mechanism grade.
During carrying out block chain endorsement, common recognition mechanism impact factor for example can include but is not limited to user type grade
Not, information security rank, data type rank and type of service rank.Can as needed to common recognition mechanism impact factor into
Row extension.The regular member in user type rank, such as operation system member's mechanism can be determined according to member's type identification
Or platinum member.Information security rank can be determined according to security type mark, such as user information can be in operation system
It is the higher information of safe class, merchandise news may be the lower information of safe class.It can be true according to data type mark
Fixed number is respectively provided with different data type ranks according to type level, such as daily record data, transaction data, user data；According to
Type of service mark can determine and type of service rank, such as electric business system, settlement of transactions is opposite core
Business, type of service rank are higher；Searching service is the business of opposite edges, and type of service rank is relatively low.
Utilize common recognition mechanism impact factor information, it may be determined that business datum is under each common recognition mechanism impact factor item
Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight.Then, by common recognition mechanism impact factor numerical value, common recognition machine
Impact factor weight processed is weighted summation, obtains the common recognition mechanism grade of business datum.
Optionally, in step S206, the common recognition mechanism grade of each alternative block chain common recognition mechanism is predefined, it is each
The common recognition mechanism grade of alternative block chain common recognition mechanism is proportionate with common recognition mechanism complexity.
Alternative block chain common recognition mechanism can specifically include POW (Proof of Work, proof of work), POS (Proof
Of Stake, equity prove), DPOS (Delegated Proof of Stake, share authorisation verification mechanism), PBFT
(Practical Byzantine Fault Tolerance, practical Byzantine failure tolerance algorithm) etc..POW by with or operation
Calculate a random number for meeting rule, that is, obtain this book keeping operation power, then send out epicycle and need the data that record, the whole network its
It is stored together after its node verification.POS is a kind of upgrading common recognition mechanism, can according to the ratio of token shared by each node and when
Between, mine disaster degree is dug in the then reduction of equal proportion, to accelerate to look for the speed of random number.DPOS allows each to hold bit stock
People votes, and thus generates 101 representatives, we can be understood as 101 super nodes or mine pond, and this 101
A mutual right of super node is essentially equal.PBFT is a kind of state machine copy replication algorithm, i.e. service is used as state
Machine is modeled, and state machine carries out copy replication in the different nodes of distributed system.The copy of each state machine saves
The state of service, while also achieving the operation of service.The set that all copies form is indicated using capital R, is made
Arrived with 0 | R | each copy of -1 integer representation.
It, can be alternatively total by POW, POS, DPOS, PBFT, PAXOS, RAFT, RIPPLE etc. when dividing common recognition mechanism grade
Knowledge mechanism is divided into 1-10 common recognition mechanism grade, i.e., each common recognition mechanism grade has corresponding common recognition mechanism, can also incite somebody to action
The common recognition mechanism grade of PAXOS or RAFT is set as 8 ranks or more and (indicates the common recognition mechanism grade of business datum otherwise be less than
8 can just use the common recognition mechanism), the common recognition mechanism grade of PBFT is set to 5 ranks or more, by POW, POS, RIPPLE
Common recognition mechanism grade is set as 1 or more rank.
In step S208, common recognition node utilizes the common recognition mechanism grade of business datum, knows together from all alternative block chains
In mechanism corresponding block chain common recognition mechanism is selected for business datum.
For example, the common recognition mechanism grade of business datum is 5.If alternative common recognition mechanism be according to 1~10 grade step by step
Divide, then can select from alternative common recognition mechanism common recognition mechanism grade for 5 block chain common recognition mechanism.If alternative common recognition
Mechanism is divided according to rate range, then the grade for the block chain common recognition mechanism of business datum selection is not less than business
The common recognition mechanism grade of data, i.e., first judge whether the common recognition mechanism grade of business datum meets not less than this condition of 8 ranks,
Further judge that knowledge mechanism grade meets not less than this condition of 5 ranks in the case that ungratified, therefore selects PBFT.
Can be according to the common recognition mechanism impact factor information in business datum in above-described embodiment, dynamic selection in real time is closed
Suitable block chain common recognition mechanism, to reduce the resource overhead caused by common recognition mechanism in block chain technology.
The common recognition mechanism grade of business datum how is determined with reference to Fig. 3 descriptions.
Fig. 3 shows an application examples of the common recognition mechanism grade of determining business datum.As shown in Figure 3, it is assumed that influence altogether
Knowledge mechanism includes user type rank, information security rank and type of service rank.
User type rank is X, and as user type rating value becomes larger, the attention degree that user receives accordingly becomes larger, phase
The weight answered can accordingly increase；Information security rank is Y, and as information security rating value becomes larger, user security rank is wanted
It asks and becomes larger, corresponding weight can accordingly increase；Type of service rank is Z, as type of service rank becomes larger, the business system that uses
System will become complicated and changeable, and shared weight also can accordingly increase.L, M, N are respectively weighting coefficient, and wherein X, Y, Z, L, M, N takes
Value range is greater than equal to 1 and is less than or equal to 10, and meets L+M+N=10.The common recognition mechanism grade V of business datum can be indicated
For V=X*L*0.1+Y*M*0.1+Z*N*0.1+ ....
For example, user type rank is 5, weight 3；Information security rank is 8, weight 5；Type of service rank is 4,
Weight is 2.Therefore, V=X*L*0.1+Y*M*0.1+Z*N*0.1=6.3.To select suitable common recognition mechanism according to calculated value
It executes.
The method for selecting block chain common recognition mechanism of another embodiment of the disclosure is described with reference to Fig. 4.
Fig. 4 shows the flow diagram of the method for the selection block chain common recognition mechanism of another embodiment of the disclosure.Such as
Shown in Fig. 4, on the basis of embodiment shown in Fig. 2, the method for the selection block chain common recognition mechanism in the present embodiment further includes step
Rapid S408~S412.
In step S410, the block chain common recognition mechanism of selection is reported to user by common recognition node.
For example, common recognition node A can know together the block chain of selection, mechanism PBFT and common recognition 5 grade of mechanism report to use
Family.After user receives the block chain common recognition mechanism of common recognition node A selections, it can be determined that whether the common recognition mechanism meets its business
It is required that.
In step S412, common recognition node receives the block chain common recognition mechanism feedback information that user sends.
For example, user judges common recognition mechanism that need not be so stringent complicated, the common recognition mechanism of more inferior grade can be received,
It can be to common recognition node feeding back information.The feedback information is specifically as follows common recognition scheme information, with its needs of instruction common recognition node
Common recognition mechanism；May be common recognition mechanism class information, the common recognition mechanism grade that it is needed with instruction common recognition node；It can be with
For mechanism level adjustment information of knowing together, (or height-regulating) common recognition mechanism grade is reduced with instruction common recognition node.
In step S414, common recognition node is according to selected block chain common recognition mechanism and block chain common recognition mechanism feedback
Information selects block chain common recognition mechanism for business datum again.
After common recognition node A receives the feedback information of user, common recognition mechanism can be reselected according to feedback information.Specifically
For directly select common recognition mechanism, first determine common recognition mechanism grade or adjustment common recognition mechanism grade, need rely on feedback letter
Depending on the form of breath.
In above-described embodiment, user can according to actual needs be adjusted the block chain of selection common recognition mechanism, to
The block chain common recognition real-time dynamic select characteristic of mechanism is further enhanced, can be further reduced in block chain technology because of common recognition machine
Resource overhead caused by system, and user experience can be enhanced.
Fig. 5 shows the Technical Architecture schematic diagram of the block chain of one embodiment.Wherein, preferable common recognition mechanism selecting party
The design method of case is modularization, such as Notary.As shown in figure 5, increasing common recognition mechanism in existing block chain Technical Architecture
Dynamic select layer can build the mechanism that common recognition algorithm is selected with internal dynamic.Dynamic select layer can be by mechanism shadow of knowing together
It rings the factor and weight coefficient and carries out rational arithmetic, know together mechanism in conjunction with common recognition mechanism degree of belief Dynamic Programming,
The structure of the common recognition node of an embodiment of the present disclosure is described with reference to Fig. 6.
Fig. 6 shows the structural schematic diagram of the common recognition node of an embodiment of the present disclosure.As shown in fig. 6, the embodiment
Common recognition node 60 include：Mechanism level determination module 602 and common recognition mechanism selecting module 604.
Mechanism level determination module 602, is configured as after receiving business datum, according to the common recognition machine in business datum
Impact factor information processed determines the common recognition mechanism grade of business datum；
Common recognition mechanism selecting module 604 is configured as the common recognition mechanism grade using business datum, from all alternative blocks
In chain common recognition mechanism corresponding block chain common recognition mechanism is selected for business datum.
In some embodiments, mechanism level determination module 602 is configured as：Using common recognition mechanism impact factor information,
Determine common recognition mechanism impact factor numerical value, common recognition mechanism impact factor of the business datum under each common recognition mechanism impact factor item
Weight；Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight are weighted summation, obtain being total to for business datum
Knowledge mechanism grade.
In some embodiments, common recognition mechanism impact factor includes user type rank, information security rank, data type
Rank and type of service rank.
In some embodiments, it is grade being total to not less than business datum for the block chain common recognition mechanism that business datum selects
Knowledge mechanism grade.
In some embodiments, common recognition node 60 further includes alternate mechanism level determination module 606, is configured as：In advance
Determine the common recognition mechanism grade of each alternative block chain common recognition mechanism, the common recognition mechanism grade of each alternative block chain common recognition mechanism
It is proportionate with common recognition mechanism complexity.
Can be according to the common recognition mechanism impact factor information in business datum in above-described embodiment, dynamic selection in real time is closed
Suitable block chain common recognition mechanism, to reduce the resource overhead caused by common recognition mechanism in block chain technology.
In some embodiments, common recognition node 60 further includes common recognition mechanism gravity treatment module 608, is configured as：By selection
Block chain common recognition mechanism reports to user；Receive the block chain common recognition mechanism feedback information that user sends；According to selected area
Block chain common recognition mechanism and block chain common recognition mechanism feedback information are that business datum selects block chain common recognition mechanism again.
In above-described embodiment, user can according to actual needs be adjusted the block chain of selection common recognition mechanism, to
The block chain common recognition real-time dynamic select characteristic of mechanism is further enhanced, can be further reduced in block chain technology because of common recognition machine
Resource overhead caused by system, and user experience can be enhanced.
Fig. 7 shows the structural schematic diagram of the device of the selection block chain common recognition mechanism of an embodiment of the present disclosure.Such as Fig. 7
Shown, the device 70 of the selection block chain common recognition mechanism of the embodiment includes：Memory 710 and it is coupled to the memory 710
Processor 720, processor 720 is configured as based on the instruction being stored in memory 710, executing any one aforementioned implementation
The method of selection block chain common recognition mechanism in example.
Wherein, memory 710 is such as may include system storage, fixed non-volatile memory medium.System stores
Device is such as being stored with operating system, application program, Boot loader (Boot Loader) and other programs.
Mechanical hand apparatus for work 70 can also include input/output interface 730, network interface 740, memory interface 750 etc..
It can for example be connected by bus 760 between these interfaces 730,740,750 and memory 710 and processor 720.Wherein,
The input-output equipment such as input/output interface 730 is display, mouse, keyboard, touch screen provide connecting interface.Network interface
740 provide connecting interface for various networked devices.The external storages such as memory interface 740 is SD card, USB flash disk provide connection and connect
Mouthful.
The disclosure further includes a kind of computer readable storage medium, is stored thereon with computer instruction, which is handled
Device realizes the selection block chain common recognition mechanism in any one aforementioned embodiment method when executing.
It should be understood by those skilled in the art that, embodiment of the disclosure can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the disclosure
Apply the form of example.Moreover, the disclosure can be used in one or more wherein include computer usable program code computer
The calculating implemented on non-transient storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) can be used
The form of machine program product.
The disclosure is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present disclosure
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The foregoing is merely the preferred embodiments of the disclosure, not to limit the disclosure, all spirit in the disclosure and
Within principle, any modification, equivalent replacement, improvement and so on should be included within the protection domain of the disclosure.
Claims (14)
1. a kind of method of selection block chain common recognition mechanism, including：
After receiving business datum, according to the common recognition mechanism impact factor information in the business datum, the business is determined
The common recognition mechanism grade of data；
It is the business datum choosing from all alternative block chain common recognition mechanism using the common recognition mechanism grade of the business datum
Select corresponding block chain common recognition mechanism.
2. the method for claim 1, wherein the common recognition mechanism impact factor according in the business datum is believed
Breath, determines that the common recognition mechanism grade of the business datum includes：
Using common recognition mechanism impact factor information, common recognition of the business datum under each common recognition mechanism impact factor item is determined
Mechanism impact factor numerical value, common recognition mechanism impact factor weight；
Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight are weighted summation, obtain the business datum
Common recognition mechanism grade.
3. method as claimed in claim 2, wherein the common recognition mechanism impact factor includes user type rank, information peace
Full rank, data type rank and type of service rank.
4. the grade the method for claim 1, wherein for the block chain common recognition mechanism of business datum selection is not low
In the common recognition mechanism grade of the business datum.
5. method as claimed in claim 4, wherein the method further includes：
Predefine the common recognition mechanism grade of each alternative block chain common recognition mechanism, the common recognition of each alternative block chain common recognition mechanism
Mechanism grade is proportionate with common recognition mechanism complexity.
6. the method for claim 1, wherein the method further includes：
The block chain common recognition mechanism of selection is reported into user；
Receive the block chain common recognition mechanism feedback information that user sends；
It is again the business number according to selected block chain common recognition mechanism and block chain common recognition mechanism feedback information
According to selection block chain common recognition mechanism.
7. a kind of common recognition node, including：
Mechanism level determination module, is configured as after receiving business datum, according to the common recognition mechanism in the business datum
Impact factor information determines the common recognition mechanism grade of the business datum；
Common recognition mechanism selecting module is configured as the common recognition mechanism grade using the business datum, from all alternative block chains
It is that the business datum selects corresponding block chain common recognition mechanism in common recognition mechanism.
8. common recognition node as claimed in claim 7, wherein the mechanism level determination module is configured as：
Using common recognition mechanism impact factor information, common recognition of the business datum under each common recognition mechanism impact factor item is determined
Mechanism impact factor numerical value, common recognition mechanism impact factor weight；
Common recognition mechanism impact factor numerical value, common recognition mechanism impact factor weight are weighted summation, obtain the business datum
Common recognition mechanism grade.
9. common recognition node as claimed in claim 8, wherein the common recognition mechanism impact factor includes user type rank, letter
Cease security level, data type rank and type of service rank.
10. as claimed in claim 7 common recognition node, wherein for the business datum selection block chain know together mechanism etc.
Grade is not less than the common recognition mechanism grade of the business datum.
11. common recognition node as claimed in claim 10, wherein the common recognition node further includes that alternate mechanism grade determines mould
Block is configured as：
Predefine the common recognition mechanism grade of each alternative block chain common recognition mechanism, the common recognition of each alternative block chain common recognition mechanism
Mechanism grade is proportionate with common recognition mechanism complexity.
12. as claimed in claim 7 common recognition node, wherein the common recognition node further includes common recognition mechanism gravity treatment module, by with
It is set to：
The block chain common recognition mechanism of selection is reported into user；
Receive the block chain common recognition mechanism feedback information that user sends；
It is again the business number according to selected block chain common recognition mechanism and block chain common recognition mechanism feedback information
According to selection block chain common recognition mechanism.
13. a kind of device of selection block chain common recognition mechanism, including：
Memory；And
It is coupled to the processor of the memory, the processor is configured as based on the instruction being stored in the memory,
Execute the method such as selection block chain common recognition mechanism according to any one of claims 1 to 6.
14. a kind of computer readable storage medium, wherein the computer-readable recording medium storage has computer instruction, institute
State the method realized when instruction is executed by processor such as selection block chain common recognition mechanism according to any one of claims 1 to 6.
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| CN109508295A (en) * | 2018-11-14 | 2019-03-22 | 联动优势科技有限公司 | Block chain common recognition test of heuristics method, apparatus, computing device and storage medium |
| CN110557427A (en) * | 2019-07-15 | 2019-12-10 | 浙江工业大学 | Intelligent home security control method for balancing network performance and security |
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