CN109993004B - Block chain autonomous method and system based on credit mechanism - Google Patents
Block chain autonomous method and system based on credit mechanism Download PDFInfo
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Abstract
The invention discloses a block chain autonomous method and a system based on a credit mechanism, wherein the method comprises the following steps: acquiring health certification information and honesty certification information of competition nodes in a block chain to calculate credit information of the competition nodes; when the credit information is greater than a first credit threshold value, setting a corresponding competition node as a verification node; determining a reward and punishment proportion of each verification node according to credit information of all verification nodes; sending a transaction record to each verification node to verify the transaction record and generate verification information; judging whether the verification information of each verification node is correct or not according to the verification information and the credit information of the verification nodes; if yes, increasing honest certification information and the number of reward tokens of the correct verification node according to the corresponding reward and punishment proportion; otherwise, reducing honest certification information of the error verification nodes according to the corresponding reward and punishment proportion so as to finish autonomy. The method and the system can effectively save computing resources, remove centralization and avoid the phenomenon of joint cooperation of nodes.
Description
Technical Field
The invention relates to the technical field of data processing in a block chain, in particular to a block chain autonomous method and system based on a credit mechanism.
Background
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like, and is a data storage system which is jointly maintained by distributed nodes. The nodes in the block chain process the transaction requests into blocks (encrypted data) according to preset rules, overlap the blocks to form a chain data structure, and transmit and synchronize data through a consensus mechanism, so that the consistency, the irreparability and the deletion of the data of each node are guaranteed.
The block chain autonomous mechanism refers to rules such as operation modes, strategy arrangement and the like of a decentralized autonomous organization system established on a block chain. The autonomous rule is realized by computer code, the automatic operation of the autonomous rule is guaranteed by a block chain protocol, and the autonomous rule is automatically triggered and realized according to the set conditions. Each node can become a participant of an organization by providing a form of service, and since tokens which can circulate at a high speed are issued on a blockchain, the blockchain autonomous mechanism generally rewards the nodes which provide the correct service correspondingly, and the nodes are treated by corresponding penalty measures if conflicts, false information and malicious behaviors exist. Therefore, an organization which operates autonomously without human intervention and management can be realized through the block chain autonomous mechanism, and the operation efficiency of the block chain is greatly improved. The blockchain running the autonomous mechanism is like a full-automatic robot, when all program settings are completed, the blockchain can start to run according to the established rules, and most of the rules are transparent, such as quantity upper limit, consensus mode and rules of competitive accounting, and the like.
In a conventional blockchain network, the autonomous mechanism is realized by tokens with an upper limit and based on different consensus mechanisms. Common consensus mechanisms are the workload attestation mechanism (POW), the equity attestation mechanism (POS), the proxy equity attestation mechanism (DPOS), or the pragmatine fault tolerance mechanism (PBFT). However, these consensus mechanisms are not sufficient. On one hand, because the nodes in the POW compete for the block generation right by calculating a random number meeting the rule through enumerated hash operation, a large amount of calculation resources are consumed, so that the existing autonomous method of the nodes in the block chain has the problems of low calculation resource consumption and low consensus efficiency. On the other hand, because the POS proportionally reduces the calculation difficulty of the nodes according to the number of tokens and the age of coins owned by each node to improve the speed of calculating random numbers, the POS is easy to generate centralized nodes; DPOS brokers authentication and accounting by voting a preset number of nodes for all nodes in the system, but it still relies on tokens and therefore still has the problem of being prone to centralized nodes. In addition, because PBFT is a message passing-based consistency algorithm that achieves consistency through three stages to determine the correctness of the verification with the verification result of 2/3 node, the time required for the node to achieve consensus is long because the message passing and statistical verification result takes longer. In addition, the blockchain using the consensus mechanisms prompts the nodes to automatically process transaction data by setting a node token reward mechanism, so that the constraint force on the node autonomous process is small, and the nodes in the blockchain are easy to associate and dislike.
Therefore, the existing autonomous method for the block chain nodes has the problems of consuming computing resources, being easy to centralize the nodes and being easy to generate the phenomenon of joint cooperation of the nodes.
Disclosure of Invention
Aiming at the problems, the block chain autonomous method and the block chain autonomous system based on the credit mechanism can effectively save computing resources, improve consensus efficiency, remove centralization and avoid the phenomenon of node joint cooperation.
In order to solve the above technical problem, the block chain autonomous method based on credit mechanism of the present invention comprises the following steps:
when the current verification starts, acquiring health certification information and honest certification information of competing nodes in a blockchain; the competition node is used for indicating a node competing for the verification right in the block chain;
calculating credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node;
when the credit information is larger than a first credit threshold value, setting a corresponding competition node as a verification node;
determining a reward and punishment proportion of each verification node according to credit information of all the verification nodes;
sending a transaction record to each verification node so that each verification node verifies the transaction record and generates verification information;
judging whether the verification information of each verification node is correct or not according to the verification information and the credit information of the verification nodes;
if so, increasing honest certification information and the number of reward tokens of correct verification nodes in the verification nodes according to the corresponding reward and punishment proportion;
otherwise, reducing honest certification information of the wrong verification nodes in the verification nodes according to the corresponding reward and punishment proportion so as to finish autonomy.
As an improvement of the above scheme, the verification nodes include a primary verification node and a secondary verification node; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node;
and under the condition that the credit information is greater than the credit threshold value, setting the corresponding competition node as a verification node, wherein the method comprises the following steps:
sorting the credit information in descending order; wherein M is an integer and is not less than 1 and not more than M;
setting the verification node corresponding to the credit information of the front R bits as the main verification node;
setting the verification node corresponding to the credit information of the M-R bits arranged after the verification as the secondary verification node; wherein R is an integer, and R is more than or equal to 1 and less than or equal to M.
As an improvement of the above solution, the verification information generated by the verification node includes a correct identifier and an incorrect identifier;
judging whether the verification information of each verification node is correct or not according to the verification information and the credit information of the verification nodes, and the method comprises the following steps:
calculating the correct verification probability according to the credit information of the verification node corresponding to the correct identifier;
calculating the error verification probability according to the credit information of the verification node corresponding to the error identification;
under the condition that the correct verification probability is greater than the wrong verification probability, judging that the verification information of the node corresponding to the correct identification is correct verification;
and under the condition that the error verification probability is greater than the correct verification probability, judging that the verification information of the node corresponding to the error identification is correct verification.
As an improvement of the above scheme, the health certification information includes survival time information of the verification node and machine performance information of the running machine thereof; the honest proof information is used for indicating the honest proof values obtained after the verification node completes verification each time; the weight information comprises the weight of the health certification information in the credit information and the weight of the honest certification information in the credit information;
calculating credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node, and the method comprises the following steps:
calculating credit information NC of each competition node by the following formula:
wherein x is the weight of the health certification information in the credit information, and y is the weight of the honest certification information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is weight of the machine performance information in the health certification information, and b is weight of the survival time information in the health certification information; t is
iAnd (3) obtaining an honest proof value for the verification at the ith time, wherein i is an integer, i is more than or equal to 1, and n is the number of times of verification completion.
As an improvement of the above scheme, determining a reward and punishment proportion of each verification node according to credit information of all the verification nodes includes the following steps:
calculating the reward and punishment proportion n of each verification node by the following formula
i：
Wherein n is
iIs the reward and punishment proportion of the ith verification node, f
iAnd N is the number of the verification nodes.
As an improvement of the above scheme, the method for block chain autonomous further includes the following steps:
when a reporting instruction sent by any verification node is received, increasing honest certification information of the corresponding verification node;
before the current verification starts, the method further comprises the following steps:
the credit information of the node is obtained by initiating a transaction request to be verified to the node on the blockchain;
setting an elimination identifier for the corresponding node to eliminate the qualification of the competing node when the credit information of the node is less than or equal to a second credit threshold; the second credit threshold is less than the first credit threshold.
To solve the above technical problem, the present invention further provides a system for performing block chaining autonomous system based on credit mechanism, including:
the information acquisition module is used for acquiring the health certification information and the honest certification information of the competition nodes in the block chain when the current verification starts; the competition node is used for indicating a node competing for the verification right in the block chain;
the credit information calculation module is used for calculating the credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node;
the verification node setting module is used for setting the corresponding competition node as the verification node under the condition that the credit information is greater than a first credit threshold value;
the reward and punishment proportion determining module is used for determining the reward and punishment proportion of each verification node according to the credit information of all the verification nodes;
the transaction record sending module is used for sending transaction records to the verification nodes so that each verification node verifies the transaction records and generates verification information;
the verification result judging module is used for judging whether the verification of each verification node is correct or not according to the verification information and the credit information of the verification nodes;
the credit information adjusting module is used for increasing honest certification information and the number of reward tokens of correct verification nodes in the verification nodes according to the corresponding reward and punishment proportion when the verification result of the verification nodes is judged to be correct; and when the verification result of the verification node is judged to be wrong, reducing honest certification information of the wrong verification node in the verification node according to the reward and punishment proportion so as to finish autonomy.
As an improvement of the above scheme, the verification nodes include a primary verification node and a secondary verification node; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node; the verification node setting module includes:
the sorting unit is used for sorting the credit information according to a descending order so as to obtain the credit information arranged at the top M bits; wherein M is an integer and is not less than 1 and not more than M;
a main verification node setting unit, configured to set a verification node corresponding to the credit information of the previous R bits as the main verification node;
a secondary verification node setting unit, configured to set a verification node corresponding to the M-R-bit credit information arranged in the past as the secondary verification node; wherein, P is an integer, and R is more than or equal to 1 and less than or equal to M.
As an improvement of the above solution, the verification information generated by the verification node includes a correct identifier and an incorrect identifier; the verification result judgment module comprises:
the first calculation unit is used for calculating the correct verification probability according to the credit information of the verification node corresponding to the correct identifier;
the second calculation unit is used for calculating the error verification probability according to the credit information of the verification node corresponding to the error identification;
a first determining unit, configured to determine that the verification information of the node corresponding to the correct identifier is correct verification when the correct verification probability is greater than the incorrect verification probability;
and the second judging unit is used for judging that the verification information of the node corresponding to the wrong identifier is correct verification under the condition that the error verification probability is greater than the correct verification probability.
As an improvement of the above scheme, the health certification information includes survival time information of the verification node and machine performance information of the running machine thereof; the honest certification information is used for indicating honest certification values obtained by the verification nodes in each verification; the weight information comprises the weight of the health certification information in the credit information and the weight of the honest certification information in the credit information;
the credit information calculation module is used for calculating the credit information NC of each competition node through the following formula:
wherein x is the proportion of the health certification information in the credit information, and y is the proportion of the honest certification information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is the proportion of the machine performance information in the health certification information, and b is the proportion of the survival time information in the health certification information; t is
iAnd (3) obtaining an honest proof value for the verification at the ith time, wherein i is an integer, i is more than or equal to 1, and n is the number of times of verification completion.
Compared with the prior art, in the block chain autonomous method based on the credit mechanism, when the current verification is started, the credit information of the competitive nodes is calculated by acquiring the health certification information and the honest certification information of the competitive nodes, the verification nodes are screened by using the credit information, the competitive nodes with the credit information being greater than the credit threshold value are set as the verification nodes, and then only transaction records are sent to the verification nodes for verification, so that the number of the nodes participating in the verification can be reduced, the calculation resources are saved, and the consensus efficiency is improved; in addition, when the verification information sent by the verification node is received, the verification information and the credit information of the verification node are utilized to judge whether the result of the previous verification is correct or not so as to determine the consistency of the verification by verifying the credit degree of the node, thereby effectively avoiding the phenomena that the verification node is not verified and the verification node is cheated jointly and improving the safety and the authenticity of the node autonomous process; moreover, by increasing honest proof information of correct verification nodes and reducing honest proof information of wrong verification nodes according to the reward and punishment proportion, on one hand, decentralization can be effectively realized, and generation of centralization nodes is avoided; on the other hand, the credibility of the verification node can be greatly increased or reduced, so that when the node in the block chain needs to actively provide the verification service, the possibility of providing the service is in direct proportion to the credit information of the node, the constraint strength on the node in the autonomous process is further improved, and the node is prevented from acting as a cheat or a cheat combination; in addition, for the convenience of autonomy, after the nodes obtain the verification right for providing the verification service, the nodes can obtain credit rewards in addition to the token rewards, so that the nodes tend not to do any harm for improving the credit values and the wealth values of the nodes, and the reliability of the node autonomy method in the block chain is further improved.
Drawings
Fig. 1 is a flowchart illustrating a block chain autonomous method based on credit mechanism according to embodiment 1 of the present invention.
Fig. 2 is a flowchart illustrating a block chain autonomous method based on a credit mechanism according to embodiment 2 of the present invention.
Fig. 3 is a schematic structural diagram of a blockchain autonomous system based on a credit mechanism according to embodiment 3 of the present invention.
Fig. 4 is a schematic structural diagram of a blockchain autonomous system based on a credit mechanism according to embodiment 4 of the present invention.
Fig. 5 is a schematic structural diagram of a verification result determining module in a blockchain autonomous system based on a credit mechanism according to an embodiment of the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
The technical solution of the present invention will be clearly and completely described below with reference to the specific embodiments and the accompanying drawings.
Fig. 1 is a flowchart illustrating a block chain autonomous method based on credit mechanism according to embodiment 1 of the present invention.
As shown in fig. 1, the block chain autonomous method based on credit mechanism of the present invention includes the following steps:
s1, when the current verification starts, acquiring the health certification information and honest certification information of the competition nodes in the block chain; the competition node is used for indicating a node competing for the verification right in the block chain;
s2, calculating credit information of each competition node according to the health certification information, honesty certification information and weight information of each competition node;
s3, when the credit information is larger than a first credit threshold value, setting a corresponding competition node as a verification node;
s4, determining the reward and punishment proportion of each verification node according to the credit information of all the verification nodes;
in step S4, the reward-penalty ratio of each verification node may be set by the following formula:
wherein n is
iIs the reward and punishment proportion of the ith verification node, f
iAnd N is the number of the verification nodes.
S5, sending a transaction record to each verification node so that each verification node verifies the transaction record and generates verification information;
s6, judging whether the verification information of each verification node is correct or not according to the verification information and the credit information of the verification nodes;
in step S6, the verification information generated by the verification node includes a correct identifier and an incorrect identifier, and whether the current verification result is correct is determined according to the verification information and the credit information of the verification node, including the following steps:
s61, calculating the correct verification probability according to the credit information of the verification node corresponding to the correct identification;
specifically, step S61 includes:
s611, acquiring credit information of the verification node corresponding to the correct identifier;
s612, calculating the correct verification probability F (true) by the following formula:
wherein N is the number of verification nodes, f
iFor the credit information of the i-th one of the verification nodes, f
1iThe credit information of the ith correct verification node is shown, P is the number of correct verification nodes, P is an integer, and P is more than or equal to 1 and less than or equal to N.
For example, the number of verification nodes is set to 5, and the degrees of credit thereof are respectively set to f
1、f
2、f
3、f
4、f
5When the verification information of the 1 st verification node, the 2 nd verification node and the 4 th verification node is correct identification, f
11＝f
1、f
12＝f
2、f
13＝f
4And then the correct verification probability is:
s62, calculating the error verification probability according to the credit information of the verification node corresponding to the error identification;
specifically, step S62 includes:
s621, obtaining credit information of the verification node corresponding to the error identification;
s622, calculating the error verification probability F (true) by the following formula:
wherein f is
2iAnd the credit information is the credit information of the ith error verification node, Q is the number of the error verification nodes, Q is an integer, Q is more than or equal to 1 and less than or equal to N, and P + Q is equal to N.
For example, the number of verification nodes is set to 5, and the degrees of credit thereof are respectively set to f
1、f
2、f
3、f
4、f
5If the verification information of the 3 rd verification node and the 5 th verification node is the error identification, f
21＝f
3、f
22＝f
5And then the error verification probability is:
s63, under the condition that the correct verification probability is larger than the wrong verification probability, judging that the verification information of the node corresponding to the correct identification is correct verification;
s64, under the condition that the error verification probability is larger than the correct verification probability, judging that the verification information of the node corresponding to the error identification is correct verification.
S7, if yes, truthful proof information and reward token number of correct verification nodes in the verification nodes are obtained according to the corresponding reward and punishment proportion;
and S8, otherwise, reducing honest certification information of the wrong verification node in the verification nodes according to the corresponding reward and punishment proportion so as to finish autonomy.
Compared with the prior art, in the block chain autonomous method based on the credit mechanism, when the current verification is started, the credit information of the competitive nodes is calculated by acquiring the health certification information and the honest certification information of the competitive nodes, the verification nodes are screened by using the credit information, the competitive nodes with the credit information being greater than the credit threshold value are set as the verification nodes, and then only transaction records are sent to the verification nodes for verification, so that the number of the nodes participating in the verification can be reduced, the calculation resources are saved, and the consensus efficiency is improved; in addition, when the verification information sent by the verification node is received, the verification information and the credit information of the verification node are utilized to judge whether the result of the previous verification is correct or not so as to determine the consistency of the verification by verifying the credit degree of the node, thereby effectively avoiding the phenomena that the verification node is not verified and the verification node is cheated jointly and improving the safety and the authenticity of the node autonomous process; moreover, by increasing honest proof information of correct verification nodes and reducing honest proof information of wrong verification nodes according to the reward and punishment proportion, on one hand, decentralization can be effectively realized, and generation of centralization nodes is avoided; on the other hand, the credibility of the verification node can be greatly increased or reduced, so that when the node in the block chain needs to actively provide the verification service, the possibility of providing the service is in direct proportion to the credit information of the node, the constraint strength on the node in the autonomous process is further improved, and the node is prevented from acting as a cheat or a cheat combination; in addition, for the convenience of autonomy, after the nodes obtain the verification right for providing the verification service, the nodes can obtain credit rewards in addition to the token rewards, so that the nodes tend not to do any harm for improving the credit values and the wealth values of the nodes, and the reliability of the node autonomy method in the block chain is further improved.
Fig. 2 is a flowchart illustrating a block chain autonomous method based on credit mechanism according to embodiment 1 of the present invention.
As shown in fig. 2, the method for performing blockchain autonomous operation according to embodiment 2 of the present invention includes all the steps in embodiment 1, where the verification nodes include a primary verification node and a secondary verification node; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node;
step S3, when the credit information is greater than the credit threshold, setting the corresponding competing node as the verification node, including the following steps:
s31, sorting the credit information according to descending order; wherein M is an integer and is not less than 1 and not more than M;
s32, setting the verification node corresponding to the credit information arranged at the front R bit as the main verification node;
s33, setting the verification node corresponding to the credit information arranged at the back M-R bit as the secondary verification node; wherein R is an integer, and R is more than or equal to 1 and less than or equal to M.
For example, when the number of verification nodes is N, N is an integer and N > M, the number of verification nodes can be further reduced by setting the primary verification node and the secondary verification nodes by arranging the credit information of the N verification nodes in a descending order, thereby reducing the calculation resources and the calculation time consumed by verification and improving the consensus efficiency; meanwhile, the reward and punishment proportion of the main verification node is higher than that of the secondary verification node by setting the weights of the main verification node and the secondary verification node, and further, when the main verification node and the secondary verification node are verified correctly, the credit information increased by the main verification node is more than the credit information increased by the secondary verification node; when the verification of the main verification node is wrong, the credit information of the main verification node is greatly reduced, and therefore the authenticity and the reliability of a verification result are improved through a strict reward and punishment mechanism.
Further, in the above embodiments 1 and 2, the health certification information includes information on survival time of the verification node and machine performance information of the operating machine thereof; the honest certification information is used for indicating honest certification values obtained by the verification nodes in each verification; the weight information comprises the weight of the health certification information in the credit information and the weight of the honest certification information in the credit information;
in step S2, the credit information NC of each competing node is calculated by the following formula:
wherein x is the proportion of the health certification information in the credit information, and y is the proportion of the honest certification information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is the proportion of the machine performance information in the health certification information, and b is the proportion of the survival time information in the health certification information; t is
iAnd (3) obtaining an honest proof value for the verification at the ith time, wherein i is an integer, i is more than or equal to 1, and n is the number of times of verification completion.
In step S7, increasing honest and punishment certification information of the correct verification node according to the reward and punishment proportion includes the following steps:
increasing honesty certification information for the correct verification node by:
wherein TC1 correctly verifies the updated honesty-proof information, Δ t, of the node
1The increased honesty certification information is proportional to the reward punishment for increased honesty certification information.
Further, in step S8, reducing honest and punishment information of an error verification node in the verification nodes according to the reward and punishment proportion includes the following steps:
reducing honesty certification information of the false verification node by:
wherein TC2 is updated honesty certification information of the error verification node, Δ t
2The reduced truthfulness proof information is proportional to the reward and punishment ratio for the reduced truthfulness proof information.
It can be understood that, in the block chain autonomous method of the present invention, the reward and penalty ratios of all the verification nodes may also be set to be the same reward and penalty ratio, for example, when the number of verification nodes participating in verification is N, the credit information of each verification node is set to be f, and the reward and penalty ratio of each verification node is all f
Then the honest certification information adjusted by each verification node is the same when verification is complete. In other words, each verification node which robs the transaction verification right has the same weight, and the verification result of each verification node has the same reliability; when the verification node verifies correctly, the added honesty proof information of the correct verification node is the same; when the verification node verifies an error, the reduced truthfulness proof information of the error verification node is the same.
In the above block chain autonomous method of the present invention, the initial credit information of the node is 0, when the node joins the block chain, the machine performance information of the machine running the node is used as the initial health certification information of the node, and the survival time information of the node is recorded from the time when the node joins the block chain, and further the health certification information of the node increases with the survival time information of the node. Because the nodes can run on a computer or a notebook computer, the on-off operation and the online time of the equipment directly influence the survival time of the nodes, and therefore, in order to prevent the nodes on the blockchain from being frequently disconnected or prevent the nodes from being offline and interrupting the verification after the nodes rob the verification right of a transaction record, the blockchain autonomous method sets the health certification information of the nodes and the survival time information of the nodes into a direct proportional relation to stimulate the survival of the nodes, and further improves the reliability of the verification of the nodes on the blockchain and the reliability of the autonomous method.
Preferably, in the above embodiment, the autonomous method further includes the steps of:
when a reporting instruction sent by any verification node is received, honest proof information of the corresponding verification node is increased, so that the reduced honest proof information is distributed to the verification node reporting the malicious attack, and the credit degree of the verification node and the verification reliability are improved.
Preferably, in order to avoid frequent participation of the node with low credit in the verification and improve the verification efficiency of the node, in the above autonomous method, before the current verification starts, the following steps are further included:
the credit information of the node is obtained by initiating a transaction request to be verified to the node on the blockchain;
setting an elimination identifier for the corresponding node to eliminate the qualification of the competing node when the credit information of the node is less than or equal to a second credit threshold; wherein the second credit threshold is less than the first credit threshold.
Fig. 3 is a schematic structural diagram of a blockchain autonomous system based on a credit mechanism according to embodiment 3 of the present invention.
The system comprises: the information acquisition module 1 is used for acquiring the health certification information and the honest certification information of the competition nodes in the block chain when the current verification is started; the competition node is used for indicating a node competing for the verification right in the block chain; the credit information calculation module 2 is configured to calculate credit information of each competitive node according to the health certification information, the honest certification information, and the weight information of each competitive node; the verification node setting module 3 is configured to set a corresponding competing node as a verification node when the credit information is greater than a first credit threshold; the reward and punishment proportion determining module 4 is used for determining the reward and punishment proportion of each verification node according to the credit information of all the verification nodes; a transaction record sending module 5, configured to send a transaction record to the verification node, so that the verification node verifies the transaction record and generates verification information; the verification result judging module 6 is used for judging whether the verification of each verification node is correct or not according to the verification information and the credit information of the verification nodes; the credit information adjusting module 7 is configured to increase honest certification information and the number of reward tokens of correct verification nodes in the verification nodes according to the corresponding reward and punishment proportion when the verification result of the verification node is determined to be correct; and when the verification result of the verification node is judged to be wrong, reducing honest certification information of the wrong verification node in the verification node according to the reward and punishment proportion so as to finish autonomy.
Compared with the prior art, in the block chain autonomous system based on the credit mechanism, when the current verification is started, the information acquisition module 1 enables the credit information calculation module 2 to calculate the credit information of competitive nodes by acquiring the health certification information and the honest certification information of the competitive nodes, so that the verification node setting module 3 screens the verification nodes by using the credit information, sets the competitive nodes with the credit information being greater than a credit threshold value as the verification nodes, and further enables the transaction record sending module 5 to only send transaction records to the verification nodes for verification, thereby reducing the number of the nodes participating in the verification, saving the calculation resources and further improving the consensus efficiency; in addition, when the verification result judging module 6 receives the verification information sent by the verification node, the verification information and the credit information of the verification node are used for judging whether the result of the previous verification is correct or not so as to determine the consistency of the verification by the credit degree of the verification node, thereby effectively avoiding the phenomena that the verification node is not verified and the verification node is cheated jointly and improving the safety and the authenticity of the node autonomous process; furthermore, the credit information adjusting module 7 increases honest certification information of the correct verification node and decreases honest certification information of the wrong verification node according to the reward and punishment proportion determined by the reward and punishment proportion determining module 4, so that decentralization can be effectively realized and generation of a centralization node is avoided; on the other hand, the credibility of the verification nodes can be greatly increased or reduced, so that the constraint strength of the nodes in the autonomous process is improved, the nodes are prevented from acting and cheating jointly, and the credibility of the node autonomous method in the block chain is improved.
Fig. 4 is a schematic structural diagram of a blockchain autonomous system based on a credit mechanism according to embodiment 3 of the present invention.
As shown in fig. 4, the autonomous system includes all the components in embodiment 2, and the authentication nodes include a primary authentication node and a secondary authentication node; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node; the verification node setting module 3 includes:
a sorting unit 31, configured to sort the credit information in a descending order to obtain the credit information arranged at the top M bits; wherein M is an integer and is not less than 1 and not more than M;
a main verification node setting unit 32, configured to set a verification node corresponding to the credit information of the previous R bits as the main verification node;
a secondary verification node setting unit 33, configured to set a verification node corresponding to the credit information of the M-R bits arranged later as the secondary verification node; wherein R is an integer, and R is more than or equal to 1 and less than or equal to M.
For example, when the number of verification nodes is N, N is an integer and N > M, the sorting unit 31 performs descending order arrangement on the credit information of the N verification nodes according to the descending order, so that the main verification node setting unit 32 and the sub verification node setting unit 33 respectively set the main verification node and the sub verification nodes, thereby further reducing the number of verification nodes, reducing the computation resources and the computation time consumed by verification, and improving the consensus efficiency; meanwhile, as the reward and punishment proportion of the main verification node is higher than that of the secondary verification node, when the main verification node and the secondary verification node verify correctly, the credit information added by the main verification node is more than the credit information added by the secondary verification node; when the verification of the main verification node is wrong, the credit information of the main verification node is greatly reduced, and therefore the authenticity and the reliability of a verification result are improved through a strict reward and punishment mechanism.
Further, in the above embodiment, the verification information generated by the verification node includes a correct identifier or an incorrect identifier; as shown in fig. 5, the verification result determining module 6 includes:
the first calculating unit 61 is configured to calculate the correct verification probability according to credit information of a verification node corresponding to the correct identifier;
specifically, the first calculation unit 61 includes:
a first information obtaining subunit 611, configured to obtain credit information of a verification node corresponding to the correct identifier;
a correct verification probability calculating subunit 612 configured to calculate a correct verification probability f (true) by the following formula:
wherein N is the number of verification nodes, f
iFor the credit information of the i-th one of the verification nodes, f
1iThe credit information of the ith correct verification node is shown, P is the number of correct verification nodes, P is an integer, and P is more than or equal to 1 and less than or equal to N.
For example, the number of verification nodes is set to 5, and the degrees of credit thereof are respectively set to f
1、f
2、f
3、f
4、f
5When the verification information of the 1 st verification node, the 2 nd verification node and the 4 th verification node is correct identification, f
11＝f
1、f
12＝f
2、f
13＝f
4And then the correct verification probability is:
the second calculating unit 62 is configured to calculate the false verification probability according to credit information of a verification node corresponding to the false identifier;
specifically, the second calculation unit 62 includes:
a second information obtaining subunit 621, configured to obtain credit information of the verification node corresponding to the error identifier;
an error verification probability calculating subunit 622 configured to calculate an error verification probability f (true) by the following formula:
wherein f is
2iAnd the credit information is the credit information of the ith error verification node, Q is the number of the error verification nodes, Q is an integer, Q is more than or equal to 1 and less than or equal to N, and P + Q is equal to N.
For example, the number of verification nodes is set to 5, and the degrees of credit thereof are respectively set to f
1、f
2、f
3、f
4、f
5If the verification information of the 3 rd verification node and the 5 th verification node is the error identification, f
21＝f
3、f
22＝f
5And then the error verification probability is:
a first determining unit 621, configured to determine that the verification information of the node corresponding to the correct identifier is correct verification when the correct verification probability is greater than the incorrect verification probability;
a second determining unit 622, configured to determine that the verification information of the node corresponding to the incorrect identifier is correct verification if the incorrect verification probability is greater than the correct verification probability.
Further, in the above embodiment, the health certification information includes information on survival time of the verification node and machine performance information of the running machine thereof; the honest certification information is used for indicating honest certification values obtained by the verification nodes in each verification; the credit information calculation module 2 is configured to calculate credit information NC of each contention node according to the following formula:
wherein x is health in credit informationThe proportion of the proof information, wherein y is the proportion of the honest proof information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is the proportion of the machine performance information in the health certification information, and b is the proportion of the survival time information in the health certification information; t is
iAnd (3) obtaining an honest proof value for the verification at the ith time, wherein i is an integer, i is more than or equal to 1, and n is the number of times of verification completion.
Further, in the above embodiment, the credit information adjusting module 7 includes:
a credit information increasing unit for decreasing honest certification information of the wrong verification node by the following formula: increasing honesty certification information for the correct verification node by:
wherein TC1 correctly verifies the updated honesty-proof information, Δ t, of the node
1The increased honesty certification information is proportional to the reward punishment for increased honesty certification information.
A credit information reduction unit for reducing honest proof information of the wrong verification node by the following formula:
wherein TC2 is updated honesty certification information of the error verification node, Δ t
2The reduced truthfulness proof information is proportional to the reward and punishment ratio for the reduced truthfulness proof information.
Preferably, in the above embodiment, the blockchain autonomous system further includes: the integrity certification information increasing module is used for increasing integrity certification information of corresponding verification nodes when a reporting instruction sent by any verification node is received, so that the reduced integrity certification information is distributed to the verification nodes reporting malicious attacks, and the credit degree of the verification nodes and the verification reliability are improved.
Preferably, in order to avoid frequent participation of low-credit nodes in authentication and improve the authentication efficiency of the nodes, in the autonomous system described above, the autonomous system further includes:
the transaction request sending module is used for acquiring credit information of the node by initiating a transaction request to be verified to the node on the blockchain;
and the elimination identifier setting module is used for setting the elimination identifier for the corresponding node under the condition that the credit information of the node is less than or equal to the credit threshold value so as to eliminate the qualification of the competitive node.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, so that any simple modification, equivalent change and modification made to the above embodiment according to the technical spirit of the present invention will still fall within the scope of the technical solution of the present invention without departing from the content of the technical solution of the present invention.
Claims (8)
1. The block chain autonomous method based on the credit mechanism is characterized by comprising the following steps:
when the current verification starts, acquiring health certification information and honest certification information of competing nodes in a blockchain; the competition node is used for indicating a node competing for the verification right in the block chain;
calculating credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node;
when the credit information is larger than a first credit threshold value, setting a corresponding competition node as a verification node;
determining a reward and punishment proportion of each verification node according to credit information of all the verification nodes;
sending a transaction record to each verification node so that each verification node verifies the transaction record and generates verification information; the verification information generated by the verification node comprises a correct identifier and an error identifier;
judging whether the verification information of each verification node is correct or not according to the verification information and the credit information of the verification nodes; the method comprises the following steps:
calculating the correct verification probability according to the credit information of the verification node corresponding to the correct identifier; the correct verification probability f (true) is calculated by the following formula:
wherein N is the number of verification nodes, f
iFor the credit information of the i-th one of the verification nodes, f
1iThe credit information of the ith correct verification node is shown, P is the number of correct verification nodes, P is an integer, and P is more than or equal to 1 and less than or equal to N;
calculating the error verification probability according to the credit information of the verification node corresponding to the error identification; the false verification probability f (true) is calculated by the following formula:
wherein f is
2iThe credit information of the ith error verification node is obtained, Q is the number of the error verification nodes, Q is an integer, Q is more than or equal to 1 and less than or equal to N, and P + Q is equal to N;
under the condition that the correct verification probability is greater than the wrong verification probability, judging that the verification information of the node corresponding to the correct identification is correct verification;
under the condition that the error verification probability is greater than the correct verification probability, judging that the verification information of the node corresponding to the error identification is correct verification;
if so, increasing honest certification information and the number of reward tokens of correct verification nodes in the verification nodes according to the corresponding reward and punishment proportion;
otherwise, reducing honest certification information of the wrong verification nodes in the verification nodes according to the corresponding reward and punishment proportion so as to finish autonomy.
2. The blockchain autonomous method of claim 1 wherein the authentication nodes comprise primary authentication nodes and secondary authentication nodes; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node;
and under the condition that the credit information is greater than the credit threshold value, setting the corresponding competition node as a verification node, wherein the method comprises the following steps:
sorting the credit information in descending order; wherein M is an integer and is not less than 1 and not more than M;
setting the verification node corresponding to the credit information of the front R bits as the main verification node;
setting the verification node corresponding to the credit information of the M-R bits arranged after the verification as the secondary verification node; wherein R is an integer, and R is more than or equal to 1 and less than or equal to M.
3. The blockchain autonomous method of claim 1 wherein the health certification information includes time-to-live information of the verification node and machine performance information of the operating machine thereof; the honest proof information is used for indicating the honest proof values obtained after the verification node completes verification each time; the weight information comprises the weight of the health certification information in the credit information and the weight of the honest certification information in the credit information;
calculating credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node, and the method comprises the following steps:
calculating credit information NC of each competition node by the following formula:
wherein x is the weight of the health certification information in the credit information, and y is the weight of the honest certification information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is weight of the machine performance information in the health certification information, and b is weight of the survival time information in the health certification information; t is
iFor the honest proof value obtained by the verification of the ith time, i is an integer, i is more than or equal to 1, and n is the verified valueThe number of syndromes.
4. The blockchain autonomous method of claim 1 wherein determining a reward-penalty ratio for each of the verification nodes based on credit information for all of the verification nodes comprises:
calculating the reward and punishment proportion n of each verification node by the following formula
i：
Wherein n is
iIs the reward and punishment proportion of the ith verification node, f
iAnd N is the number of the verification nodes.
5. The blockchain autonomous method of claim 1 further comprising the steps of:
when a reporting instruction sent by any verification node is received, increasing honest certification information of the corresponding verification node;
before the current verification starts, the method further comprises the following steps:
the credit information of the node is obtained by initiating a transaction request to be verified to the node on the blockchain;
setting an elimination identifier for the corresponding node to eliminate the qualification of the competing node when the credit information of the node is less than or equal to a second credit threshold; the second credit threshold is less than the first credit threshold.
6. A blockchain autonomous system based on a credit mechanism, comprising:
the information acquisition module is used for acquiring the health certification information and the honest certification information of the competition nodes in the block chain when the current verification starts; the competition node is used for indicating a node competing for the verification right in the block chain;
the credit information calculation module is used for calculating the credit information of each competitive node according to the health certification information, the honest certification information and the weight information of each competitive node;
the verification node setting module is used for setting the corresponding competition node as the verification node under the condition that the credit information is greater than a first credit threshold value;
the reward and punishment proportion determining module is used for determining the reward and punishment proportion of each verification node according to the credit information of all the verification nodes;
the transaction record sending module is used for sending transaction records to the verification nodes so that each verification node verifies the transaction records and generates verification information; the verification information generated by the verification node comprises a correct identifier and an error identifier
The verification result judging module is used for judging whether the verification of each verification node is correct or not according to the verification information and the credit information of the verification nodes; the verification result judgment module comprises:
the first calculation unit is used for calculating the correct verification probability according to the credit information of the verification node corresponding to the correct identifier; the first calculation unit includes:
the first information acquisition subunit is used for acquiring credit information of the verification node corresponding to the correct identifier;
a correct verification probability calculating subunit configured to calculate a correct verification probability f (true) by the following formula:
wherein N is the number of verification nodes, f
iFor the credit information of the i-th one of the verification nodes, f
1iThe credit information of the ith correct verification node is shown, P is the number of correct verification nodes, P is an integer, and P is more than or equal to 1 and less than or equal to N;
the second calculation unit is used for calculating the error verification probability according to the credit information of the verification node corresponding to the error identification; the second calculation unit includes:
the second information acquisition subunit is used for acquiring credit information of the verification node corresponding to the error identifier;
an error verification probability calculating subunit configured to calculate an error verification probability f (true) by the following formula:
wherein f is
2iThe credit information of the ith error verification node is obtained, Q is the number of the error verification nodes, Q is an integer, Q is more than or equal to 1 and less than or equal to N, and P + Q is equal to N;
a first determining unit, configured to determine that the verification information of the node corresponding to the correct identifier is correct verification when the correct verification probability is greater than the incorrect verification probability;
a second determination unit, configured to determine that the verification information of the node corresponding to the error identifier is correctly verified if the error verification probability is greater than the correct verification probability;
the credit information adjusting module is used for increasing honest certification information and the number of reward tokens of correct verification nodes in the verification nodes according to the corresponding reward and punishment proportion when the verification result of the verification nodes is judged to be correct; and when the verification result of the verification node is judged to be wrong, reducing honest certification information of the wrong verification node in the verification node according to the reward and punishment proportion so as to finish autonomy.
7. The blockchain autonomous system of claim 6 wherein the authentication nodes comprise primary authentication nodes and secondary authentication nodes; the reward and punishment proportion of the main verification node is higher than that of the secondary verification node; the verification node setting module includes:
the sorting unit is used for sorting the credit information according to a descending order so as to obtain the credit information arranged at the top M bits; wherein M is an integer and is not less than 1 and not more than M;
a main verification node setting unit, configured to set a verification node corresponding to the credit information of the previous R bits as the main verification node;
a secondary verification node setting unit, configured to set a verification node corresponding to the M-R-bit credit information arranged in the past as the secondary verification node; wherein, P is an integer, and R is more than or equal to 1 and less than or equal to M.
8. The blockchain autonomous system of claim 7 wherein the health certification information includes time-to-live information of the verification node and machine performance information of the operating machine thereof; the honest certification information is used for indicating honest certification values obtained by the verification nodes in each verification; the weight information comprises the weight of the health certification information in the credit information and the weight of the honest certification information in the credit information;
the credit information calculation module is used for calculating the credit information NC of each competition node through the following formula:
wherein x is the proportion of the health certification information in the credit information, and y is the proportion of the honest certification information in the credit information; MP is machine performance information of the verification node, ET is survival time information of the verification node, a is the proportion of the machine performance information in the health certification information, and b is the proportion of the survival time information in the health certification information; t is
iAnd (3) obtaining an honest proof value for the verification at the ith time, wherein i is an integer, i is more than or equal to 1, and n is the number of times of verification completion.
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| CN114936918B (en) * | 2022-05-20 | 2024-03-29 | 天道金科股份有限公司 | Block chain-based wind control data tracking method, terminal equipment and storage medium |
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