WO2020215684A1

WO2020215684A1 - Blockchain-based parameter configuration method and apparatus, blockchain-based parameter reconstruction method and apparatus, device, and medium

Info

Publication number: WO2020215684A1
Application number: PCT/CN2019/117732
Authority: WO
Inventors: 杨天鹏
Original assignee: 平安科技（深圳）有限公司
Priority date: 2019-04-26
Filing date: 2019-11-13
Publication date: 2020-10-29
Also published as: CN110149202B; CN110149202A

Abstract

Disclosed are a blockchain-based parameter configuration method and apparatus, a blockchain-based parameter reconstruction method and apparatus, a device, and a medium. The blockchain-based parameter configuration method comprises: obtaining the node configuration information of a configuration node; performing configuration information matching on the node configuration information to obtain public configuration information and the personalized configuration information of each configuration node; using a public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node; and finally, recording the public configuration information and the personalized encryption information of each configuration node into a blockchain. The public configuration information and the personalized configuration information of each configuration node are obtained from different node configuration information by means of configuration information matching, and the personalized configuration information is separately encrypted, thereby ensuring the security of the information, finally recording the corresponding information into the blockchain, and better ensuring the stability of data.

Description

Blockchain-based parameter configuration, reconstruction method, device, equipment and medium

This application is based on the Chinese invention patent application filed on April 26, 2019 with the application number 201910344995.6, titled "Blockchain-based parameter configuration, reconstruction method, device, equipment and medium", and claims its priority .

Technical field

This application relates to the field of blockchain technology, and in particular to a method, device, device, and medium for parameter configuration and reconstruction based on blockchain.

Background technique

The existing unified configuration service products are centralized, and each system needs to be uniformly connected to the configuration center server. If the centralized server goes down or other abnormalities occur, it will affect the normal use of all systems. Moreover, if the configuration center server data is lost, the data of all systems will likely be lost, which is not conducive to the stability of the data of each system.

Summary of the invention

The embodiments of the present application provide a parameter configuration method, device, computer equipment, and storage medium based on blockchain to solve the problem of low data stability.

The embodiments of the present application provide a method, device, computer equipment, and storage medium for parameter reconstruction based on blockchain to solve the problem of low node reconstruction efficiency.

A parameter configuration method based on blockchain, including:

Acquiring node configuration information of a configuration node, where there are at least two configuration nodes, and each configuration node includes node configuration information;

Performing configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

Using the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The public configuration information and the personalized encryption information of each configuration node are recorded in the blockchain.

A parameter configuration device based on blockchain includes:

A node configuration information obtaining module, configured to obtain node configuration information of configuration nodes, where there are at least two configuration nodes, and each configuration node includes node configuration information;

The configuration information matching module is configured to perform configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

The asymmetric encryption module is configured to use the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The block chain recording module is used to record the public configuration information and the personalized encrypted information of each configuration node in the block chain.

A method of parameter reconstruction based on blockchain, including:

Acquiring a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Verifying the node verification information to obtain a node verification result;

If the node verification result is that the verification is passed, obtain corresponding personalized encrypted information from the blockchain according to the node identifier;

Obtain public configuration information from the blockchain, and send the public configuration information and the personalized encrypted information to the configuration node corresponding to the node identifier, where the public configuration information and the personalized encrypted information are Obtained from the above parameter configuration method based on blockchain.

A parameter reconstruction device based on blockchain includes:

A node reconstruction request obtaining module, configured to obtain a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Node verification result obtaining module, used to verify the node verification information to obtain the node verification result;

A personalized encrypted information obtaining module, configured to obtain corresponding personalized encrypted information from the blockchain according to the node identifier if the verification result of the node is a successful verification;

The configuration information sending module is used to obtain public configuration information from the blockchain, and send the public configuration information and the personalized encryption information to the configuration node corresponding to the node identifier, where the public configuration information and the The personalized encrypted information is obtained by using the above-mentioned blockchain-based parameter configuration method.

A computer device including a memory, a processor, and computer-readable instructions stored in the memory and capable of running on the processor. The processor implements the above-mentioned blockchain-based Parameter configuration method, or the above-mentioned blockchain-based parameter reconstruction method is implemented when the processor executes the computer-readable instruction.

One or more readable storage media storing computer readable instructions, which when executed by one or more processors, cause the one or more processors to execute the above-mentioned blockchain-based parameter configuration Method, or, when the computer-readable instruction is executed by one or more processors, the one or more processors execute the above-mentioned blockchain-based parameter reconstruction method.

The details of one or more embodiments of the present application are presented in the following drawings and description, and other features and advantages of the present application will become apparent from the description, drawings and claims.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present application more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments of the present application. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor.

FIG. 1 is a schematic diagram of an application environment of a blockchain-based parameter configuration method or a blockchain-based parameter reconstruction method in an embodiment of the present application;

FIG. 2 is an example diagram of a parameter configuration method based on blockchain in an embodiment of the present application;

FIG. 3 is another example diagram of a parameter configuration method based on blockchain in an embodiment of the present application;

FIG. 4 is another example diagram of a parameter configuration method based on blockchain in an embodiment of the present application;

FIG. 5 is another example diagram of a parameter configuration method based on blockchain in an embodiment of the present application;

FIG. 6 is an example diagram of a parameter reconstruction method based on blockchain in an embodiment of the present application;

FIG. 7 is a functional block diagram of a parameter configuration device based on blockchain in an embodiment of the present application;

FIG. 8 is another principle block diagram of a parameter configuration device based on blockchain in an embodiment of the present application;

FIG. 9 is a functional block diagram of a parameter reconstruction device based on blockchain in an embodiment of the present application;

Fig. 10 is a schematic diagram of a computer device in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

The block chain-based parameter configuration method provided by the embodiment of the present application can be applied in the application environment as shown in FIG. 1, wherein the client (computer equipment) communicates with the server through the network. The server obtains the node configuration information of the configuration node (client), where there are at least two configuration nodes, and each configuration node includes one node configuration information; the node configuration information is matched with the configuration information to obtain the common configuration information and each Configure the personalized configuration information of the node; use the public key corresponding to each configuration node to asymmetrically encrypt the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node; combine the public configuration information with each configuration node Personalized encrypted information is recorded in the blockchain. Among them, the client (computer equipment) can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server can be implemented with an independent server or a server cluster composed of multiple servers.

In one embodiment, as shown in FIG. 2, a method for parameter configuration based on blockchain is provided. The method is applied to the server in FIG. 1 as an example for description, including the following steps:

S10: Obtain node configuration information of a configuration node, where there are at least two configuration nodes, and each configuration node includes node configuration information.

Among them, each configuration node (client) corresponds to a terminal or system, and each terminal or system joins the blockchain network by setting up a server to become a node. The configuration nodes correspond to different configuration terminals or systems in this embodiment. In the distributed architecture, different distributed nodes configure their parameters through a distributed configuration management platform to complete the node configuration. Exemplarily, the configuration of different configuration nodes can be implemented through open source configuration centers such as Diamond, disconf, or apollo. Each configuration node includes node configuration information, and the node configuration information includes specific configuration parameter information of the terminal corresponding to the node. Optionally, the node configuration information may be a file in a data format such as XML, YML, json, and map.

S20: Perform configuration information matching on node configuration information to obtain public configuration information and personalized configuration information of each configuration node.

In the node configuration information of different configuration nodes, there may be part of the same configuration information and different node configuration information. In this step, by matching the configuration information of the node configuration information, that is, the node information that is the same or has reference significance among all the configuration nodes is screened out as the common configuration information. And filter out the configuration information of each configuration node that is different from other nodes, as personalized configuration information. Specifically, each configuration information in the node configuration information can be matched in different node configuration information to check whether the same configuration information exists in each node configuration information. If, for one piece of configuration information, the same configuration information can be matched in different node configuration information, the configuration information can be used as common configuration information. Each configuration information of each node configuration information is traversed and matched in different node configuration information, and then the number of successful matching is counted. The number of successful matches can be used to determine whether the configuration information belongs to public configuration information. Correspondingly, the part of the configuration information of each node that is not part of the common configuration information is the personalized configuration information of each configuration node. Optionally, the matching method may be various string matching algorithms or regular expressions.

In a specific embodiment, after the node configuration information is converted into a feature vector, a similarity calculation algorithm or a vector distance calculation algorithm may be used to implement the configuration information matching process.

S30: Use the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node.

In this step, by encrypting the personalized configuration information of each configuration node, the security of the information is better guaranteed. Pre-allocate a pair of key pairs for each configuration node, including public and private keys. The private key is saved for each configuration node. The public key can be stored in a unified server or management center. For example, a key management center (KMC, Key Management Center) is used to generate a key pair for each configuration node. The key management center is an important part of the public key infrastructure. It is responsible for providing key services such as key generation, storage, backup, update, recovery or query for the certification authority (CA, Certification Authority) system to solve distribution Key management issues brought by large-scale cryptographic technology applications in a distributed enterprise application environment.

After obtaining the personalized configuration information of each configuration node, the public key of each configuration node is used to asymmetrically encrypt the personalized configuration information of each configuration node, and the personalized encryption information of each configuration node can be obtained. The asymmetric encryption can be implemented by RSA encryption algorithm, Elgamal encryption algorithm, knapsack algorithm, Rabin encryption algorithm, or D-H encryption algorithm.

S40: Record the public configuration information and the personalized encryption information of each configuration node in the blockchain.

In this step, the obtained public configuration information and the personalized encryption information of each configuration node are recorded in the blockchain, which completes the process of parameter configuration. Specifically, the server can call the corresponding data transmission interface to record the public configuration information and the personalized encryption information of each configuration node in the blockchain.

In this embodiment, first obtain the node configuration information of the configuration node, where there are at least two configuration nodes, and each configuration node includes one node configuration information; the node configuration information is matched with the configuration information to obtain the common configuration information and each configuration node. 1. Configure the personalized configuration information of the node; use the public key corresponding to each configuration node to asymmetrically encrypt the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node; finally combine the public configuration information with each configuration The personalized encrypted information of the node is recorded in the blockchain. Through configuration information matching, obtain the public configuration information and the personalized configuration information of each configuration node from different node configuration information; and separately encrypt the personalized configuration information to ensure the security of the information, and finally record the corresponding information In the blockchain, the stability of data is better guaranteed.

In one embodiment, each node configuration information includes at least one sub-node configuration information, and each sub-node configuration information includes a configuration parameter name and a corresponding configuration parameter value.

The node configuration information includes at least one sub-node configuration information, and each sub-node configuration information represents each parameter that needs to be configured, and each sub-node configuration information includes a configuration parameter name and a corresponding configuration parameter value. For example, the configuration parameter name can be the project name, project category, port, and IP address. The configuration parameter value is the specific content corresponding to the configuration parameter name. Optionally, the child node configuration information may be formed in the form of key-value pairs, that is, the configuration parameter name is key and the configuration parameter value is value.

In this embodiment, as shown in FIG. 3, the configuration information matching is performed on the node configuration information to obtain the common configuration information and the personalized configuration information of each configuration node, including:

S21: Perform feature vector transformation on each sub-node configuration information to obtain the sub-node feature vector of each sub-node configuration information.

Perform feature vector transformation on each sub-node configuration information in the node configuration information to obtain the sub-node feature vector of each sub-node configuration information. Specifically, a reference feature vector table can be preset to set corresponding values for existing configuration parameter names and corresponding configuration parameter values, and different configuration parameter names and different configuration parameter values have unique values. Then, according to the reference feature vector table, the configuration information of each child node is transformed into feature vectors.

Optionally, the configuration parameter name and the corresponding configuration parameter value in the configuration information of each sub-node may be respectively converted into word vectors to obtain the sub-node feature vector of each sub-node configuration information. Specifically, the word2vec tool can be used to implement word vector conversion.

S22: Based on the sub-node feature vector of each sub-node configuration information, cluster analysis is performed on the node configuration information using a clustering algorithm to obtain clusters, each of which includes a target center point.

Among them, cluster analysis is also called group analysis. It is a statistical analysis method for studying (sample or index) classification problems, and it is also an important analysis method for data mining. Optionally, the k-means classification algorithm may be used to perform cluster analysis to obtain clusters. Specifically, the K value is set according to the number of child node configuration information, and the initial center point of each cluster is set. Exemplarily, the cluster cluster is set with the configuration parameter name in the child node configuration information. When all points (sub-node configuration information) are allocated, recalculate all points in the cluster (for example, calculate the average value) to obtain the new center point of the cluster, that is, calculate the corresponding configuration in the same configuration parameter name The vector distance between parameter values. Then iteratively assign the center point and update the center point of the cluster cluster until the center point of the cluster cluster changes little or reaches the specified number of iterations, and then obtain the cluster cluster and each cluster at this time. The target center point corresponding to a cluster.

S23: Calculate the number of feature vectors of sub-nodes in each cluster according to the target center point and the preset distance threshold.

Among them, the distance threshold is a preset value, and different distance thresholds can be configured according to different distance algorithms. In this step, according to the target center point and the preset distance threshold, the calculation of the number of feature vectors of the child nodes in each cluster can be specifically as follows: first calculate the configuration information of each child node in a cluster and the target center point Then, compare the vector distance with the distance threshold. If the vector distance is less than the distance threshold, the feature vector of the child node corresponding to the child node configuration information belongs to the cluster. Then calculate the number of feature vectors of child nodes belonging to the cluster to get the number of feature vectors of child nodes in each cluster. Optionally, the vector distance can be calculated using Euclidean distance algorithm, Manhatten distance algorithm, Chebyshev distance algorithm or Minkowski distance algorithm.

S24: Determine the target cluster according to the number of feature vectors of the child nodes in each cluster.

In this step, the target cluster is determined by the number of feature vectors of the child nodes in each cluster. Specifically, it can be measured according to the number of configured nodes. Exemplarily, if the number of configuration nodes is N, the cluster cluster whose number of feature vectors of the child nodes in the cluster cluster is N is determined as the target cluster cluster. Alternatively, a cluster cluster in which the number of feature vectors of child nodes in the cluster cluster reaches a preset ratio value of N is determined as the target cluster cluster. Exemplarily, the preset ratio value may be 95%, 90%, 85%, 80%, etc. Further, different number intervals can be set to further classify the target clusters. Each type of target cluster has a different number interval. The specific classification criteria can be set according to specific configuration requirements, and are not limited here.

S25: Determine the configuration information of the child nodes corresponding to the target cluster as the common configuration information.

After the target cluster is obtained, the configuration information of the child nodes corresponding to the target cluster is determined as the common configuration information.

S26: Determine the configuration information of the child nodes in the configuration information of each node that is different from the common configuration information as the personalized configuration information of each configuration node.

After the public configuration information is determined, the configuration information of the child nodes in each node configuration information that is different from the public configuration information is determined as the personalized configuration information of each configuration node. Specifically, the configuration information of each node can be filtered according to the configuration parameter name in the public configuration information, and the configuration information of the child node with a different configuration parameter name in the node configuration information of each configuration node and the configuration parameter name in the public configuration information can be determined as Personalized configuration information for each configuration node.

In this embodiment, the feature vector transformation of each sub-node configuration information is first performed to obtain the sub-node feature vector of each sub-node configuration information; then based on the sub-node feature vector of each sub-node configuration information, the node configuration information Use clustering algorithm for cluster analysis to obtain clusters, each cluster includes the target center point; according to the target center point and the preset distance threshold, calculate the number of sub-node feature vectors in each cluster; The number of sub-node feature vectors in each cluster determines the target cluster; the configuration information of the sub-nodes corresponding to the target cluster is determined as the common configuration information; and the sub-nodes in the configuration information of each node are different from the common configuration information. The node configuration information is determined as the personalized configuration information of each configuration node. The determination of the public configuration information and the personalized configuration information of each configuration node through the above steps ensures the efficiency and accuracy of the above configuration information determination.

In one embodiment, as shown in FIG. 4, determining the target cluster cluster according to the number of feature vectors of the child nodes in each cluster cluster includes:

S241: Acquire a preset first quantity threshold and a preset second quantity threshold.

Two different thresholds, the first number threshold and the second number threshold, are preset in order to specifically classify the target cluster. The first number threshold and the second number threshold can be set according to the number of configuration nodes. If the number of configuration nodes is N, for example, the number of the first number threshold is set to N, and the number of the second number threshold is 0.8N. Understandably, the first number threshold and the second number threshold can be adjusted according to actual needs. Preferably, the first number threshold is greater than the second number threshold.

S242: Determine cluster clusters whose number of feature vectors of child nodes in the cluster cluster meets the first number threshold as a common cluster cluster, and determine cluster clusters whose number of feature vectors of child nodes in the cluster cluster meets the second number threshold It is recommended to cluster clusters.

In this step, the common cluster cluster and the recommended cluster cluster are determined according to the first number threshold and the second number threshold, respectively. Specifically, it may be judged first whether the number of feature vectors of the child nodes in each cluster meets the first number threshold, and if the first number threshold is met, the corresponding cluster is determined as a common cluster cluster. If the first number threshold is not met, it is further determined whether the number of feature vectors of the child nodes in the cluster meets the second number threshold, and if the second number threshold is met, the corresponding cluster is determined as the recommended cluster. Specifically, whether the number of sub-node feature vectors in each cluster meets the first number threshold or the second number threshold may be whether the number of sub-node feature vectors in each cluster is greater than or equal to the corresponding number threshold.

Preferably, it is also possible to directly determine the relationship between the number of feature vectors of the child nodes in the cluster and the first number threshold and the second number threshold to directly classify each cluster.

S243: Combine the public cluster cluster and the recommended cluster cluster to form a target cluster cluster.

After obtaining the public cluster cluster and the recommended cluster cluster, the public cluster cluster and the recommended cluster cluster are formed into the target cluster cluster.

In this embodiment, first obtain the preset first number threshold and second number threshold, and then determine the cluster cluster whose number of feature vectors of the child nodes in the cluster cluster meets the first number threshold as a common cluster cluster. The cluster cluster whose number of feature vectors of the child nodes in the cluster cluster meets the second number threshold is determined as the recommended cluster cluster; finally, the common cluster cluster and the recommended cluster cluster form the target cluster cluster. Different number thresholds are used to divide the target cluster cluster into different cluster cluster types to better adapt to different configuration parameter types and improve the flexibility of parameter configuration.

In one embodiment, as shown in FIG. 5, determining the configuration information of the child nodes corresponding to the target cluster cluster as the common configuration information includes:

S251: Determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information.

S252: Determine the child node configuration information corresponding to the recommended cluster as the recommended configuration information.

S253: Combine the same configuration information and recommended configuration information into common configuration information.

In this embodiment, the configuration information of the child nodes corresponding to the common cluster cluster in the target cluster is determined to be the same configuration information, the configuration information of the child nodes corresponding to the recommended cluster cluster is determined to be the recommended configuration information, and the same configuration information and It is recommended that the configuration information composes the common configuration information to realize the transformation from clusters to configuration information. Understandably, the same configuration information is configuration information with the same content in different configuration nodes, and the recommended configuration information is configuration information with the same content in most configuration nodes. When there is a new node for parameter configuration, the same configuration information and recommended configuration information can help the node to complete the parameter configuration process faster, and can improve the efficiency of parameter configuration.

It should be understood that the size of the sequence number of each step in the foregoing embodiment does not mean the order of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.

The embodiment of the present application also provides a parameter reconstruction method based on the blockchain, which can also be applied in the application environment as shown in FIG. 1, in which the client (computer equipment) communicates with the server through the network. Among them, the client (computer equipment) can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server can be implemented with an independent server or a server cluster composed of multiple servers. As shown in Figure 6, the method is applied to the server in Figure 1 as an example for description, including the following steps:

S50: Obtain a node reconstruction request, where the node reconstruction request includes node identification and node verification information.

Among them, the node reconstruction request is a trigger request for a configuration node to perform node reconstruction. Specifically, when a configuration node needs to be re-initialized, or a configuration node crashes or has a problem, the node reconstruction request can be initiated when the node reconstruction is required. After the corresponding configuration node triggers the node reconstruction request, the node reconstruction request is sent to the server, and the server obtains the node reconstruction request. The node reconstruction request includes node identification and node verification information. The node identifier is an identifier to distinguish different configuration nodes. The node identification can be composed of at least one of numbers, letters, Chinese, or symbols. The node verification information is verification information for the authority or identity of the configured node to better ensure the security of the information. Specifically, the node verification information may be embodied in the form of a pre-registered account and password, or embodied in the form of a digital certificate.

S60: Verify the node verification information to obtain a node verification result.

In this step, the node verification information is verified to obtain the node verification result. Specifically, if the node verification information is account information, the consistency verification of the node verification information can be performed according to the pre-stored standard account information, and if the two are consistent, the node verification result is the verification passed. Otherwise, the node verification result is not passed. If the node verification information is a digital certificate number, a CA (Certificate Authority) node can be preset to verify the node verification information to obtain the corresponding node verification result. Optionally, the node verification result includes verification passed and verification failed.

S70: If the verification result of the node is that the verification is passed, obtain corresponding personalized encrypted information from the blockchain according to the node identifier.

If the node verification result is that the verification is passed, the corresponding personalized encrypted information is obtained from the blockchain according to the node identifier. Specifically, the blockchain contains the personalized encrypted information of each configuration node, and different personalized encrypted information can be queried through the node ID, that is, the personalized encrypted information is stored in association with the corresponding node ID.

In a specific implementation, if the node verification result is that the verification fails, a prompt message is issued. By sending a prompt message to the corresponding configuration node, to give a better reminder.

S80: Obtain public configuration information from the blockchain, and send the public configuration information and personalized encrypted information to the configuration node corresponding to the node ID, where the public configuration information and personalized encrypted information adopt a blockchain-based parameter configuration method owned.

Further, the public configuration information is obtained from the blockchain, and the public configuration information and the personalized encryption information are sent to the configuration node corresponding to the node identifier, to complete the issuance of the configuration parameters of the configuration node. Among them, the public configuration information and the personalized encryption information are obtained by using the blockchain-based parameter configuration method in the foregoing embodiment.

Preferably, after the configuration node obtains the personalized encrypted information, it decrypts the personalized encrypted information through the private key of the configuration node to obtain the personalized configuration information of the configuration node, so as to be based on the public configuration information and the personalized configuration The information obtains the complete configuration information of the configuration node for subsequent efficient completion of node reconstruction.

In this embodiment, after obtaining the node reconstruction request, the node verification information is verified to obtain the node verification result; if the node verification result is the verification passed, the corresponding personalized encrypted information is obtained from the blockchain according to the node identification ; Obtain public configuration information from the blockchain, and send the public configuration information and personalized encrypted information to the node corresponding to the node ID, where the public configuration information and personalized encrypted information are obtained using the above-mentioned blockchain-based parameter configuration method of. By obtaining public configuration information and personalized encryption information from the blockchain, the configuration parameters for node reconstruction can be quickly obtained, avoiding the loss of configuration parameters, and improving the efficiency of node reconstruction.

In one embodiment, a block chain-based parameter configuration device is provided, and the block chain-based parameter configuration device corresponds to the block chain-based parameter configuration method in the foregoing embodiment in a one-to-one correspondence. As shown in FIG. 7, the block chain-based parameter configuration device includes a node configuration information acquisition module 10, a configuration information matching module 20, an asymmetric encryption module 30 and a blockchain recording module 40. The detailed description of each functional module is as follows:

The node configuration information obtaining module 10 is configured to obtain node configuration information of configuration nodes, wherein there are at least two configuration nodes, and each configuration node includes node configuration information;

The configuration information matching module 20 is configured to perform configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

The asymmetric encryption module 30 is configured to use the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The block chain recording module 40 is used for recording the public configuration information and the personalized encryption information of each configuration node in the block chain.

Preferably, each node configuration information includes at least one sub-node configuration information, and each sub-node configuration information includes a configuration parameter name and a corresponding configuration parameter value;

In this embodiment, as shown in FIG. 8, the configuration information matching module 20 includes a feature vector conversion submodule 21, a cluster cluster acquisition submodule 22, a feature vector calculation submodule 23, a target cluster cluster determination submodule 24, and a common The configuration information determining sub-module 25 and the personalized configuration information determining sub-module 26.

The feature vector conversion sub-module 21 is configured to perform feature vector conversion on each of the sub-node configuration information to obtain the sub-node feature vector of each of the sub-node configuration information;

The cluster cluster obtaining sub-module 22 is configured to perform cluster analysis on the node configuration information using a clustering algorithm based on the sub-node feature vector of each sub-node configuration information, and obtain cluster clusters. The cluster includes the target center point;

The feature vector calculation sub-module 23 is configured to calculate the number of feature vectors of sub-nodes in each cluster according to the target center point and a preset distance threshold;

The target cluster determining sub-module 24 is configured to determine the target cluster according to the number of feature vectors of the sub-nodes in each cluster;

The public configuration information determining submodule 25 is configured to determine the sub-node configuration information corresponding to the target cluster cluster as public configuration information;

The personalized configuration information determining sub-module 26 is used to determine the configuration information of the sub-nodes of each node configuration information that is different from the public configuration information as the personalized configuration information of each configuration node.

Preferably, the target cluster cluster determination sub-module 24 includes a quantity threshold acquisition unit, a cluster cluster classification unit, and a target cluster cluster constituent unit.

A quantity threshold value obtaining unit, configured to obtain a preset first quantity threshold value and a preset second quantity threshold value;

The cluster classification unit is used to determine the cluster cluster whose number of feature vectors of sub-nodes in the cluster cluster meets the first number threshold as a common cluster cluster, and set the number of feature vectors of sub-nodes in the cluster cluster to meet the second number The threshold cluster is determined as the recommended cluster;

The target cluster cluster forming unit is used to form the common cluster cluster and the recommended cluster cluster into the target cluster cluster.

Preferably, the common configuration information determining submodule 25 includes a same configuration information determining unit, a recommended configuration information determining unit, and a common configuration information forming unit.

The same configuration information determining unit is used to determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information.

The recommended configuration information determining unit is configured to determine the configuration information of the child nodes corresponding to the recommended cluster cluster as the recommended configuration information.

The common configuration information forming unit is used to combine the same configuration information and recommended configuration information into common configuration information.

Regarding the specific limitation of the parameter configuration device based on the blockchain, please refer to the above limitation on the parameter configuration method based on the blockchain, which will not be repeated here. Each module in the above-mentioned block chain-based parameter configuration device can be implemented in whole or in part by software, hardware and a combination thereof. The foregoing modules may be embedded in the form of hardware or independent of the processor in the computer device, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the foregoing modules.

In one embodiment, a parameter reconstruction device based on blockchain is provided, and the parameter reconstruction device based on blockchain corresponds to the parameter reconstruction method based on blockchain in the above-mentioned embodiment one to one. As shown in FIG. 9, the block chain-based parameter reconstruction device includes a node reconstruction request obtaining module 50, a node verification result obtaining module 60, a personalized encryption information obtaining module 70, and a configuration information sending module 80. The detailed description of each functional module is as follows:

The node reconstruction request obtaining module 50 is configured to obtain a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

The node verification result obtaining module 60 is configured to verify the node verification information to obtain the node verification result;

The personalized encrypted information obtaining module 70 is configured to obtain corresponding personalized encrypted information from the blockchain according to the node identifier if the verification result of the node is a successful verification;

The configuration information sending module 80 is configured to obtain public configuration information from the blockchain, and send the public configuration information and the personalized encryption information to the configuration node corresponding to the node identifier, where the public configuration information and The personalized encrypted information is obtained by using a parameter configuration method based on blockchain.

Regarding the specific limitation of the parameter reconstruction device based on the blockchain, please refer to the above limitation on the parameter reconstruction method based on the blockchain, which will not be repeated here. Each module in the above-mentioned block chain-based parameter reconstruction device can be implemented in whole or in part by software, hardware, and a combination thereof. The foregoing modules may be embedded in the form of hardware or independent of the processor in the computer device, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the foregoing modules.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. 10. The computer equipment includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the non-volatile storage medium. The database of the computer device is used to store the data used in the blockchain-based parameter configuration method in the above embodiment, or the database of the computer device is used to store the data used in the blockchain-based parameter reconstruction method in the above embodiment Data. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer-readable instruction is executed by the processor to implement a blockchain-based parameter configuration method, or the computer-readable instruction is executed by the processor to implement a blockchain-based parameter reconstruction method.

In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and capable of running on the processor. When the processor executes the computer-readable instructions, The blockchain-based parameter configuration method, or the processor executes the computer-readable instructions to implement the blockchain-based parameter reconstruction method in the foregoing embodiment.

In one embodiment, one or more readable storage media storing computer readable instructions are provided, and when the computer readable instructions are executed by one or more processors, the one or more processors execute The block chain-based parameter configuration method in the foregoing embodiment, or when the computer-readable instructions are executed by one or more processors, cause the one or more processors to execute the block-based The parameter reconstruction method of the chain. Wherein, the readable storage medium includes a non-volatile readable storage medium and a volatile readable storage medium.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through computer-readable instructions, which can be stored in a non-volatile computer. In a readable storage medium, when the computer-readable instructions are executed, they may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not a limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Channel (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the division of the above-mentioned functional units and modules is used as an example. In practical applications, the above-mentioned functions can be allocated to different functional units and modules as required. Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still implement the foregoing The technical solutions recorded in the examples are modified, or some of the technical features are equivalently replaced; these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be included in Within the scope of protection of this application.

Claims

A parameter configuration method based on blockchain, which is characterized in that it includes:

Acquiring node configuration information of a configuration node, where there are at least two configuration nodes, and each configuration node includes node configuration information;

Performing configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

Using the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The public configuration information and the personalized encryption information of each configuration node are recorded in the blockchain.
The block chain-based parameter configuration method of claim 1, wherein each of the node configuration information includes at least one sub-node configuration information, and each of the sub-node configuration information includes a configuration parameter name and a corresponding Configuration parameter value;

The performing configuration information matching on the node configuration information to obtain the common configuration information and the personalized configuration information of each configuration node includes:

Performing feature vector transformation on each of the sub-node configuration information to obtain the sub-node feature vector of each of the sub-node configuration information;

Based on the sub-node feature vector of each of the sub-node configuration information, clustering the node configuration information using a clustering algorithm to obtain cluster clusters, each of the cluster clusters including a target center point;

Calculating the number of feature vectors of child nodes in each cluster according to the target center point and a preset distance threshold;

Determining the target cluster cluster according to the number of feature vectors of the child nodes in each cluster;

Determining the configuration information of the child nodes corresponding to the target cluster cluster as common configuration information;

The sub-node configuration information of each node configuration information that is different from the public configuration information is determined as the personalized configuration information of each configuration node.
The method for configuring parameters based on blockchain according to claim 2, wherein said determining a target cluster cluster according to the number of feature vectors of sub-nodes in each cluster cluster comprises:

Acquiring the preset first quantity threshold and the preset second quantity threshold;

Determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the first number threshold as a common cluster cluster, and determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the second number threshold as the recommendation Cluster cluster

The common cluster cluster and the recommended cluster cluster are formed into the target cluster cluster.
The method for parameter configuration based on blockchain according to claim 3, wherein the determining the configuration information of the child nodes corresponding to the target cluster cluster as the common configuration information comprises:

Determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information;

Determine the configuration information of the child nodes corresponding to the recommended cluster as the recommended configuration information;

The same configuration information and the recommended configuration information form common configuration information.
A parameter reconstruction method based on blockchain, which is characterized in that it includes:

Acquiring a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Verifying the node verification information to obtain a node verification result;

If the node verification result is that the verification is passed, obtain corresponding personalized encrypted information from the blockchain according to the node identifier;

Obtain public configuration information from the blockchain, and send the public configuration information and the personalized encrypted information to the configuration node corresponding to the node identifier, where the public configuration information and the personalized encrypted information are Obtained by the method of parameter configuration based on blockchain according to any one of claims 1-4.
A block chain-based parameter configuration device is characterized in that it includes:

A node configuration information obtaining module, configured to obtain node configuration information of configuration nodes, where there are at least two configuration nodes, and each configuration node includes node configuration information;

The configuration information matching module is configured to perform configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

The asymmetric encryption module is configured to use the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The block chain recording module is used to record the public configuration information and the personalized encrypted information of each configuration node in the block chain.
The block chain-based parameter configuration device of claim 6, wherein each of the node configuration information includes at least one sub-node configuration information, and each of the sub-node configuration information includes a configuration parameter name and a corresponding Configuration parameter value;

The configuration information matching module includes:

The feature vector conversion sub-module is used to perform feature vector conversion on each of the sub-node configuration information to obtain the sub-node feature vector of each of the sub-node configuration information;

The cluster cluster acquisition sub-module is used to perform cluster analysis on the node configuration information using a clustering algorithm based on the sub-node feature vector of each of the sub-node configuration information to obtain cluster clusters. The cluster includes the target center point;

The feature vector calculation sub-module is configured to calculate the number of feature vectors of sub-nodes in each cluster according to the target center point and a preset distance threshold;

The target cluster determination sub-module is configured to determine the target cluster according to the number of feature vectors of the sub-nodes in each cluster;

The public configuration information determining sub-module is used to determine the sub-node configuration information corresponding to the target cluster cluster as public configuration information;

The personalized configuration information determining sub-module is used to determine the configuration information of the sub-nodes of each node configuration information that is different from the public configuration information as the personalized configuration information of each configuration node.
8. The block chain-based parameter configuration device according to claim 7, wherein the target cluster cluster determination sub-module includes a quantity threshold acquisition unit, a cluster cluster classification unit, and a target cluster cluster constituent unit;

A quantity threshold value obtaining unit, configured to obtain a preset first quantity threshold value and a preset second quantity threshold value;

The cluster classification unit is used to determine the cluster cluster whose number of feature vectors of sub-nodes in the cluster cluster meets the first number threshold as a common cluster cluster, and set the number of feature vectors of sub-nodes in the cluster cluster to meet the second number The threshold cluster is determined as the recommended cluster;

The target cluster cluster forming unit is used to form the common cluster cluster and the recommended cluster cluster into the target cluster cluster.
The block chain-based parameter configuration device according to claim 8, wherein the common configuration information determining sub-module includes a same configuration information determining unit, a recommended configuration information determining unit, and a common configuration information component unit.

The same configuration information determining unit is used to determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information;

The recommended configuration information determining unit is configured to determine the configuration information of the child nodes corresponding to the recommended cluster cluster as the recommended configuration information;

The common configuration information forming unit is used to combine the same configuration information and recommended configuration information into common configuration information.
A block chain-based parameter reconstruction device is characterized in that it includes:

A node reconstruction request obtaining module, configured to obtain a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Node verification result obtaining module, used to verify the node verification information to obtain the node verification result;

A personalized encrypted information obtaining module, configured to obtain corresponding personalized encrypted information from the blockchain according to the node identifier if the verification result of the node is a successful verification;

The configuration information sending module is used to obtain public configuration information from the blockchain, and send the public configuration information and the personalized encryption information to the configuration node corresponding to the node identifier, where the public configuration information and the The personalized encrypted information is obtained by using the blockchain-based parameter configuration method according to any one of claims 1-4.
A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and capable of running on the processor, wherein the processor executes the computer-readable instructions as follows step:

Acquiring node configuration information of a configuration node, where there are at least two configuration nodes, and each configuration node includes node configuration information;

Performing configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

Using the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The public configuration information and the personalized encryption information of each configuration node are recorded in the blockchain.
11. The computer device of claim 11, wherein each of the node configuration information includes at least one sub-node configuration information, and each of the sub-node configuration information includes a configuration parameter name and a corresponding configuration parameter value;

The performing configuration information matching on the node configuration information to obtain the common configuration information and the personalized configuration information of each configuration node includes:

Performing feature vector transformation on each of the sub-node configuration information to obtain the sub-node feature vector of each of the sub-node configuration information;

Based on the sub-node feature vector of each of the sub-node configuration information, clustering the node configuration information using a clustering algorithm to obtain cluster clusters, each of the cluster clusters including a target center point;

Calculating the number of feature vectors of child nodes in each cluster according to the target center point and a preset distance threshold;

Determining the target cluster cluster according to the number of feature vectors of the child nodes in each cluster;

Determining the configuration information of the child nodes corresponding to the target cluster cluster as common configuration information;

The sub-node configuration information of each node configuration information that is different from the public configuration information is determined as the personalized configuration information of each configuration node.
The computer device according to claim 12, wherein the determining the target cluster cluster according to the number of feature vectors of the sub-nodes in each cluster cluster comprises:

Acquiring the preset first quantity threshold and the preset second quantity threshold;

Determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the first number threshold as a common cluster cluster, and determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the second number threshold as the recommendation Cluster cluster

The common cluster cluster and the recommended cluster cluster are formed into the target cluster cluster.
The computer device according to claim 13, wherein the determining the configuration information of the child nodes corresponding to the target cluster cluster as the common configuration information comprises:

Determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information;

Determine the configuration information of the child nodes corresponding to the recommended cluster as the recommended configuration information;

The same configuration information and the recommended configuration information form common configuration information.
A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and capable of running on the processor, wherein the processor executes the computer-readable instructions as follows step:

Acquiring a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Verifying the node verification information to obtain a node verification result;

If the node verification result is that the verification is passed, obtain corresponding personalized encrypted information from the blockchain according to the node identifier;

Obtain public configuration information from the blockchain, and send the public configuration information and the personalized encrypted information to the configuration node corresponding to the node identifier, where the public configuration information and the personalized encrypted information are Obtained by the method of parameter configuration based on blockchain according to any one of claims 1-4.
One or more readable storage media storing computer readable instructions, when the computer readable instructions are executed by one or more processors, the one or more processors execute the following steps:

Acquiring node configuration information of a configuration node, where there are at least two configuration nodes, and each configuration node includes node configuration information;

Performing configuration information matching on the node configuration information to obtain public configuration information and personalized configuration information of each configuration node;

Using the public key corresponding to each configuration node to perform asymmetric encryption on the corresponding personalized configuration information to obtain the personalized encryption information of each configuration node;

The public configuration information and the personalized encryption information of each configuration node are recorded in the blockchain.
16. The readable storage medium of claim 16, wherein each of the node configuration information includes at least one sub-node configuration information, and each of the sub-node configuration information includes a configuration parameter name and a corresponding configuration parameter value;

The performing configuration information matching on the node configuration information to obtain the common configuration information and the personalized configuration information of each configuration node includes:

Performing feature vector transformation on each of the sub-node configuration information to obtain the sub-node feature vector of each of the sub-node configuration information;

Based on the sub-node feature vector of each of the sub-node configuration information, clustering the node configuration information using a clustering algorithm to obtain cluster clusters, each of the cluster clusters including a target center point;

Calculating the number of feature vectors of child nodes in each cluster according to the target center point and a preset distance threshold;

Determining the target cluster cluster according to the number of feature vectors of the child nodes in each cluster;

Determining the configuration information of the child nodes corresponding to the target cluster cluster as common configuration information;

The sub-node configuration information of each node configuration information that is different from the public configuration information is determined as the personalized configuration information of each configuration node.
17. The readable storage medium according to claim 17, wherein the determining the target cluster cluster according to the number of feature vectors of the child nodes in each cluster cluster comprises:

Acquiring the preset first quantity threshold and the preset second quantity threshold;

Determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the first number threshold as a common cluster cluster, and determine the cluster cluster with the number of sub-node feature vectors in the cluster cluster meeting the second number threshold as the recommendation Cluster cluster

The common cluster cluster and the recommended cluster cluster are formed into the target cluster cluster.
The readable storage medium according to claim 18, wherein the determining the configuration information of the child node corresponding to the target cluster as the common configuration information comprises:

Determine the configuration information of the child nodes corresponding to the common cluster cluster as the same configuration information;

Determine the configuration information of the child nodes corresponding to the recommended cluster as the recommended configuration information;

The same configuration information and the recommended configuration information form common configuration information.
One or more readable storage media storing computer readable instructions, when the computer readable instructions are executed by one or more processors, the one or more processors execute the following steps:

Acquiring a node reconstruction request, where the node reconstruction request includes node identification and node verification information;

Verifying the node verification information to obtain a node verification result;

If the node verification result is that the verification is passed, obtain corresponding personalized encrypted information from the blockchain according to the node identifier;

Obtain public configuration information from the blockchain, and send the public configuration information and the personalized encrypted information to the configuration node corresponding to the node identifier, where the public configuration information and the personalized encrypted information are Obtained by the method of parameter configuration based on blockchain according to any one of claims 1-4.