WO2023217071A1 - 基于数字服务技术的区块链认证平台与方法 - Google Patents
基于数字服务技术的区块链认证平台与方法 Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Definitions
- the present invention relates to the field of blockchain digital processing technology, and in particular to a blockchain authentication platform and method based on digital service technology.
- Blockchain is a chain composed of blocks one after another. Each block stores a certain amount of information, and they are connected into a chain in the order in which they were generated. This chain is saved in all servers. As long as one server in the entire system can work, the entire blockchain is safe. These servers are called nodes in the blockchain system, and they provide storage space and computing power support for the entire blockchain system. Digital services are economic activities that provide customers with various forms of added value such as convenience, comfort, efficiency improvement, or health through digital means. Digital services in a narrow sense refer to purely digital services. Almost all value creation that customers can feel relies on digital methods. For example, cloud storage, online teaching, online entertainment, etc. Digital services in a broad sense are services provided with the support of digital technology.
- the consensus mechanism of the blockchain has the characteristics of "the minority obeys the majority” and “everyone is equal”. "The minority obeys the majority” does not entirely refer to the number of nodes. It can also be the computing power, the number of shares or other computers that can be compared. characteristic quantity. "Everyone is equal” means that when a node meets the conditions, all nodes have the right to give priority to the consensus result, which will be directly recognized by other nodes and may eventually become the final consensus result.
- the purpose of the present invention is to provide a blockchain authentication platform and method based on digital service technology, and to improve the functionality of the blockchain by comprehensively processing the characteristics within the blockchain. Carry out rapid assessment and certification to solve the problem of lack of reference basis in the selection and application process of existing blockchain digital technology.
- the present invention is implemented through the following technical solutions: a blockchain authentication platform based on digital service technology.
- the authentication platform includes a feature acquisition module, a feature processing module and a certification evaluation module.
- the feature acquisition module uses In order to obtain the characteristics of the blockchain, the characteristic processing module is used to process the obtained characteristics of the blockchain;
- the feature acquisition module includes a node acquisition unit and a node feature acquisition unit.
- the node acquisition unit is used to acquire nodes in the blockchain.
- the node feature acquisition unit is used to acquire the characteristics of each node.
- the feature processing module includes a node feature processing unit, the node feature processing unit is used to set a unified processing plan for the acquired node features, and process the features of each node according to the unified processing plan;
- the authentication evaluation module is used to perform authentication evaluation on the processed feature information.
- the node feature acquisition unit is configured with a node feature acquisition strategy.
- the node feature acquisition strategy includes: first acquiring the equity proportion of the node; then acquiring the computer processing characteristics of the node, and obtaining the computer processing characteristics of the node. Processing speed and computer processing capacity are obtained.
- the node feature processing unit is configured with a node feature processing strategy.
- the node feature processing strategy includes: substituting the obtained equity ratio of each node, the computer's processing speed, and the computer's processing volume into the node feature ratio.
- the node proportion value is obtained from the ratio formula;
- the minimum value is From the node proportion of the value to the node proportion of the maximum value, several nodes are divided into several levels.
- the blockchain node division unit formula is configured as: Among them, Dhf is the node division unit value, Pjdz max is the maximum value among several node proportion values, Pjdz min is the minimum value among several node proportion values, Pjdz c is the blockchain node reference value, and a is the division frequency reference coefficient.
- the certification evaluation module is configured with an evaluation strategy, which includes: obtaining the number of nodes in each divided level, and marking the number of nodes at different levels as Sjd 1 to Sjd n in sequence, Where Sjd 1 is the number of nodes in the first division level, Sjd n is the number of nodes in the nth division level;
- the proportion of nodes in the middle group of the division level is selected as the proportion reference value of the division level
- the blockchain When the node division uniformity reference value is greater than or equal to the first node division uniformity threshold, the blockchain is divided into a low node uniformity distribution blockchain; when the node division uniformity reference value is greater than or equal to When the second node division uniformity threshold is less than the first node division uniformity threshold, the blockchain is divided into a medium node uniformity distribution blockchain; when the node division uniformity reference value is less than the second node division uniformity threshold When , the blockchain is divided into high node uniformity distributed blockchains.
- the certification evaluation module is also configured with a certification strategy.
- the certification strategy includes: the maximum value of the node proportion value of the blockchain, the minimum value of the node proportion value, the node division unit value and the node division uniformity reference. The value is substituted into the blockchain certification reference formula to obtain the blockchain certification reference value;
- the blockchain When the blockchain certification reference value is greater than or equal to the first blockchain certification reference threshold, the blockchain is certified as a high-level blockchain; when the blockchain certification reference value is greater than or equal to the second blockchain certification reference threshold and When it is less than the first blockchain certification reference threshold, the blockchain is certified as a low-level blockchain.
- the blockchain authentication reference formula is configured as: Among them, Crz is the blockchain certification reference value.
- the authentication method includes the following steps:
- Step S1 First obtain the nodes in the blockchain, and then obtain the characteristics of each obtained node;
- Step S2 Process the obtained nodes and node characteristics, set a unified processing plan for the obtained node characteristics, and process the characteristics of each node according to the unified processing plan;
- Step S3 Perform authentication evaluation on the processed feature information.
- the present invention first obtains the nodes in the blockchain, and then obtains Obtain the characteristics of each node obtained; then process the obtained nodes and the characteristics of the nodes, set a unified processing plan for the characteristics of the obtained nodes, and process the characteristics of each node according to the unified processing plan. Characteristics are processed; finally, the processed characteristic information is certified and evaluated.
- This method can provide a reference basis for the function selection of the blockchain and improve the comprehensiveness of the certification and evaluation of the blockchain.
- FIG. 1 is a functional block diagram of the authentication platform of the present invention
- Figure 2 is a flow chart of the authentication method of the present invention.
- the present invention provides a blockchain authentication platform based on digital service technology. By comprehensively processing the features in the blockchain after acquiring them, the invention can improve the rapid evaluation and authentication of the functionality of the blockchain. To solve the problem of lack of reference basis in the selection and application process of existing blockchain digital technology.
- the authentication platform includes a feature acquisition module, a feature processing module and a certification evaluation module.
- the feature acquisition module is used to acquire the characteristics of the blockchain.
- the feature acquisition module includes a node acquisition unit and a node feature acquisition unit.
- the node acquisition module The unit is used to acquire the nodes in the blockchain, and the node feature acquisition unit is used to acquire the acquired features of each node; the node feature acquisition unit is configured with a node feature acquisition strategy, and the node feature
- the acquisition strategy includes: first obtaining the equity proportion of the node; then obtaining the computer processing characteristics of the node, and obtaining the computer processing speed and computer processing capacity of the node.
- the blockchain node division unit The formula configuration is: Among them, Dhf is the node division unit value, Pjdz max is the maximum value among several node proportion values, Pjdz min is the minimum value among several node proportion values, Pjdz c is the blockchain node reference value, and a is the division frequency reference coefficient; According to the node division unit value, several nodes are divided into several levels from the minimum node proportion value to the maximum node proportion value.
- the certification evaluation module is used to perform certification evaluation on the processed feature information; the certification evaluation module is configured with an evaluation strategy, and the evaluation strategy includes: respectively obtaining the number of nodes in each divided level, and evaluating different The number of nodes in each level is marked from Sjd 1 to Sjd n in sequence, where Sjd 1 is the number of nodes in the first division level, and Sjd n is the number of nodes in the nth division level; select the number of nodes in each division level. Referring to the node proportion value, when the number of nodes in the division level is an even number, the proportion values of the two middle groups of nodes in the division level are selected as parameters.
- the blockchain When the node division uniformity reference value is greater than or equal to the first node division uniformity threshold, the blockchain is divided into a low node uniformity distribution blockchain; when the node division uniformity reference value is greater than or equal to the second node division uniformity threshold and is less than the first node division uniformity threshold, the blockchain is divided into a medium node uniformity distribution blockchain; when the node division uniformity reference value is less than the second node division uniformity threshold, the blockchain is divided Distributing blockchains for high node uniformity.
- the first node division uniformity threshold is greater than the second node division uniformity threshold, and the larger the node division uniformity reference value is, the greater the difference between the proportions of nodes in the blockchain is. In this way, data processing or data tampering is performed. In the process, a certain node with a larger proportion can decide the decision-making power of data processing or tampering.
- the certification evaluation module is also configured with a certification strategy.
- the certification strategy includes: substituting the maximum value of the node proportion value, the minimum value of the node proportion value, the node division unit value and the node division uniformity reference value of the blockchain into
- the blockchain certification reference value is obtained from the blockchain certification reference formula;
- the blockchain certification reference formula is configured as: Among them, Crz is the blockchain certification reference value;
- the blockchain certification reference value When the blockchain certification reference value is greater than or equal to the first blockchain certification reference threshold, the blockchain is certified as a high-level blockchain; when the blockchain certification reference value is greater than or equal to the second blockchain certification reference threshold and When it is less than the first blockchain certification reference threshold, the blockchain is certified as a low-level blockchain, where the first blockchain certification reference threshold is greater than the second blockchain certification reference threshold, and the difference The larger the blockchain certification reference value, the higher the certification level of the blockchain, and the higher the certification level, the higher the comprehensive quality of the blockchain.
- the present invention also provides an authentication method of a blockchain authentication platform based on digital service technology.
- the authentication method includes the following steps:
- Step S1 first obtain the nodes in the blockchain, and then obtain the characteristics of each node; first obtain the equity proportion of the node; then obtain the computer processing characteristics of the node, and obtain the characteristics of the node.
- the processing speed of the computer and the processing capacity of the computer are obtained.
- Step S2 Process the obtained nodes and node characteristics, set a unified processing plan for the obtained node characteristics, and process the characteristics of each node according to the unified processing plan;
- the equity proportion of each node, the processing speed of the computer and the processing capacity of the computer are substituted into the node characteristic proportion formula to obtain the node proportion value;
- the average node proportion value of several nodes in the blockchain is obtained, and the node proportion value of several nodes is calculated.
- the average value of the node proportions is set as the blockchain node reference value, and then the maximum and minimum values of the node proportions of several nodes are obtained, and then the blockchain node reference value and the node proportions of several nodes are The maximum and minimum values are substituted into the blockchain node division unit formula to obtain the node division unit value. According to the node division unit value, several nodes are divided into several levels from the minimum node proportion value to the maximum node proportion value. .
- Step S3 Perform certification evaluation on the processed feature information; obtain the number of nodes in each divided level, and mark the number of nodes at different levels as Sjd 1 to Sjd n in sequence, where Sjd 1 is the first The number of nodes in a division level, Sjd n is the number of nodes in the nth division level; select the reference node proportion value in each division level, when the number of nodes in the division level is an even number, select the The proportion values of the middle two groups of nodes within the division level are used as a reference, and the average of the proportion values of the middle two groups of nodes within the division level is calculated as the proportion reference value of the division level; when When the number of nodes is an odd number, the proportion of nodes in the middle group within the division level is selected as the proportion reference value of the division level; each The number of divided nodes and their proportional reference values are substituted into the node division uniformity formula to obtain the node division uniformity reference value;
- the blockchain When the node division uniformity reference value is greater than or equal to the first node division uniformity threshold, the blockchain is divided into a low node uniformity distribution blockchain; when the node division uniformity reference value is greater than or equal to the second node division uniformity threshold and is less than the first node division uniformity threshold, the blockchain is divided into a medium node uniformity distribution blockchain; when the node division uniformity reference value is less than the second node division uniformity threshold, the blockchain is divided Distributing blockchains for high node uniformity.
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Abstract
本发明提供基于数字服务技术的区块链认证平台与方法，所述认证平台包括特征获取模块、特征处理模块以及认证评估模块，所述特征获取模块用于获取区块链的特征，所述特征处理模块用于对获取到的区块链的特征进行处理；所述特征获取模块包括节点获取单元以及节点特征获取单元，所述节点获取单元用于对区块链内的节点进行获取，所述节点特征获取单元用于对获取到的每一个节点的特征进行获取；所述认证评估模块用于对处理后的特征信息进行认证评估，本发明通过对区块链内的特征获取后进行综合的处理，从而提高对区块链的功能性进行快速评估认证，以解决现有的区块链数字技术在选择应用过程中缺乏参考依据的问题。
Description
相关申请的交叉引用
本申请要求于2022年05月10日提交至中国专利局、申请号为2022105057778、申请名称为“基于数字服务技术的区块链认证平台与方法”的中国专利申请的优先权，将其全部内容通过引用结合至本申请中。
本发明涉及区块链数字处理技术领域，尤其涉及基于数字服务技术的区块链认证平台与方法。
区块链，就是一个又一个区块组成的链条。每一个区块中保存了一定的信息，它们按照各自产生的时间顺序连接成链条。这个链条被保存在所有的服务器中，只要整个系统中有一台服务器可以工作，整条区块链就是安全的。这些服务器在区块链系统中被称为节点，它们为整个区块链系统提供存储空间和算力支持。数字服务是以数字化手段为客户提供便利、舒适、效率提升或健康等各种形式附加值的经济活动，狭义的数字服务指纯数字服务，顾客能感受到的价值创造几乎都借助于数字化方式，例如云储存、在线授课、在线娱乐等。广义的数字服务是以数字技术为支持提供的服务。其中区块链的共识机制具备“少数服从多数”以及“人人平等”的特点，其中“少数服从多数”并不完全指节点个数，也可以是计算能力、股权数或者其他的计算机可以比较的特征量。“人人平等”是当节点满足条件时，所有节点都有权优先提出共识结果、直接被其他节点认同后并最后有可能成为最终共识结果。
现有的技术中，区块链的应用越来越广泛，但是现有的区块链数字处理技术在应用的过程中缺少一种能够对其的功能性进行评估认定的方法，因此在区块链的选择上缺乏参考依据。
发明内容
针对现有技术存在的不足，本发明目的是提供基于数字服务技术的区块链认证平台与方法，通过对区块链内的特征获取后进行综合的处理，从而提高对区块链的功能性进行快速评估认证，以解决现有的区块链数字技术在选择应用过程中缺乏参考依据的问题。
为了实现上述目的，本发明是通过如下的技术方案来实现：基于数字服务技术的区块链认证平台，所述认证平台包括特征获取模块、特征处理模块以及认证评估模块，所述特征获取模块用于获取区块链的特征，所述特征处理模块用于对获取到的区块链的特征进行处理；
所述特征获取模块包括节点获取单元以及节点特征获取单元，所述节点获取单元用于对区块链内的节点进行获取，所述节点特征获取单元用于对获取到的每一个节点的特征进行获取；所述特征处理模块包括节点特征处理单元，所述节点特征处理单元用于对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；
所述认证评估模块用于对处理后的特征信息进行认证评估。
进一步地，所述节点特征获取单元配置有节点特征获取策略，所述节点特征获取策略包括：首先对节点的股权占比进行获取；然后对节点的计算机处理特征进行获取，对该节点的计算机的处理速度和计算机的处理量进行获取。
进一步地，所述节点特征处理单元配置有节点特征处理策略，所述节点特征处理策略包括：将获取到的每个节点的股权占比、计算机的处理速度以及计算机的处理量代入到节点特征占比公式中求得节点占比值；
求取区块链内若干节点的节点占比值的平均值，并将若干节点的节点占比值的平均值设定为区块链节点参考值，再获取若干节点的节点占比值中的最大值和最小值，再将区块链节点参考值、若干节点的节点占比值中的最大值和最小值代入到区块链节点划分单位公式中求得节点划分单位值，根据节点划分单位值依次由最小值的节点占比值到最大值的节点占比值对若干节点进行若干级别的划分。
进一步地，所述节点特征占比公式配置为：Pjdz＝Vcl×Lcl×Zgq；其中Pjdz为节点占比值；Vcl为计算机的处理速度，Lcl为计算机的处理量，Zgq为股权占比；所述区块链节点划分单位公式配置为：其中，Dhf为节点划分单位值，Pjdzmax为若干节点占比值中的最大值，Pjdzmin为若干节点占比值中的最小值，Pjdzc为区块链节点参考值，a为划分频率参考系数。
进一步地，所述认证评估模块配置有评估策略，所述评估策略包括：分别获取划分后的每个级别内的节点的数量，并对不同级别的节点的数量依次标记为Sjd1至Sjdn，其中Sjd1为第一个划分级别内的节点的数量，Sjdn为第n个划分级别内的节点的数量；
选取每个划分级别内的参考节点占比值，当该划分级别内的节点的数量为偶数时，选取该划分级别内的中间的两组节点的占比值作为参考，并求取该划分级别内的中间的两组节点的占比值的平均值作为该划分级别的占比参考值；
当该划分级别内的节点的数量为奇数时，选取该划分级别内的中间的一组的节点占比值作为该划分级别的占比参考值；
将每个划分级别的节点的数量以及占比参考值代入到节点划分均匀度公式中求得节点划分均匀度参考值；
当节点划分均匀度参考值大于等于第一节点划分均匀度阈值时，将该区块链划分为低节点均匀度分布区块链；当节点划分均匀度参考值大于等
于第二节点划分均匀度阈值且小于第一节点划分均匀度阈值时，将该区块链划分为中节点均匀度分布区块链；当节点划分均匀度参考值小于第二节点划分均匀度阈值时，将该区块链划分为高节点均匀度分布区块链。
进一步地，所述节点划分均匀度公式配置为：Chfj＝[|(Pzbc3-Pzbc2)-(Pzbc2-Pzbc1)|+...+|(Pzbcn-Pzbcn-1)-(Pzbcn-1-Pzbcn-2)|]×[|Sjd2-Sjd1|+...+|Sjdn-Sjdn-1|]；其中，Chfj为节点划分均匀度参考值，Pzbc1至Pzbcn分别为节点划分的第一级别的占比参考值至第n级别的占比参考值。
进一步地，所述认证评估模块还配置有认证策略，所述认证策略包括：将该区块链的节点占比值的最大值、节点占比值的最小值、节点划分单位值以及节点划分均匀度参考值代入到区块链认证参考公式中求得区块链认证参考值；
当区块链认证参考值大于等于第一区块链认证参考阈值时，将该区块链认证为高等级区块链；当区块链认证参考值大于等于第二区块链认证参考阈值且小于第一区块链认证参考阈值时，将该区块链认证为低等级区块链。
进一步地，所述区块链认证参考公式配置为：其中，Crz为区块链认证参考值。
基于数字服务技术的区块链认证平台的认证方法，所述认证方法包括如下步骤：
步骤S1，首先对区块链内的节点进行获取，然后获取到的每一个节点的特征进行获取；
步骤S2，对获取到的节点以及节点的特征进行处理，并对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；
步骤S3，对处理后的特征信息进行认证评估。
本发明的有益效果：本发明的首先对区块链内的节点进行获取，再获
取到的每一个节点的特征进行获取；然后对获取到的节点以及节点的特征进行处理，并对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；最后对处理后的特征信息进行认证评估，该方法能够为区块链的功能选择提供参照依据，提高对区块链的认证评估的全面性。
通过阅读参照以下附图对非限制性实施例所作的详细描述，本发明的其它特征、目的和优点将会变得更明显：
图1为本发明的认证平台的原理框图；
图2为本发明的认证方法的流程图。
为使本发明实现的技术手段、创作特征、达成目的与功效易于明白了解，下面结合具体实施方式，进一步阐述本发明。
请参阅图1，本发明提供一种基于数字服务技术的区块链认证平台，通过对区块链内的特征获取后进行综合的处理，从而提高对区块链的功能性进行快速评估认证，以解决现有的区块链数字技术在选择应用过程中缺乏参考依据的问题。
所述认证平台包括特征获取模块、特征处理模块以及认证评估模块，所述特征获取模块用于获取区块链的特征，所述特征获取模块包括节点获取单元以及节点特征获取单元，所述节点获取单元用于对区块链内的节点进行获取，所述节点特征获取单元用于对获取到的每一个节点的特征进行获取；所述节点特征获取单元配置有节点特征获取策略，所述节点特征获取策略包括：首先对节点的股权占比进行获取；然后对节点的计算机处理特征进行获取，对该节点的计算机的处理速度和计算机的处理量进行获取。
所述特征处理模块用于对获取到的区块链的特征进行处理；所述特征处理模块包括节点特征处理单元，所述节点特征处理单元用于对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；所述节点特征处理单元配置有节点特征处理策略，所述节点特征处理策略包括：将获取到的每个节点的股权占比、计算机的处理速度以及计算机的处理量代入到节点特征占比公式中求得节点占比值；所述节点特征占比公式配置为：Pjdz＝Vcl×Lcl×Zgq；其中Pjdz为节点占比值；Vcl为计算机的处理速度，Lcl为计算机的处理量，Zgq为股权占比；其中区块链中的节点在数据篡改或处理的过程中扮演着投出决定权的作用，如果节点越多，且每个节点的占比越平均，在数据篡改或处理的过程中，每个节点发挥的决定作用越平均，区块链的数据处理相对越安全。
求取区块链内若干节点的节点占比值的平均值，并将若干节点的节点占比值的平均值设定为区块链节点参考值，再获取若干节点的节点占比值中的最大值和最小值，再将区块链节点参考值、若干节点的节点占比值中的最大值和最小值代入到区块链节点划分单位公式中求得节点划分单位值，所述区块链节点划分单位公式配置为：其中，Dhf为节点划分单位值，Pjdzmax为若干节点占比值中的最大值，Pjdzmin为若干节点占比值中的最小值，Pjdzc为区块链节点参考值，a为划分频率参考系数；根据节点划分单位值依次由最小值的节点占比值到最大值的节点占比值对若干节点进行若干级别的划分。
所述认证评估模块用于对处理后的特征信息进行认证评估；所述认证评估模块配置有评估策略，所述评估策略包括：分别获取划分后的每个级别内的节点的数量，并对不同级别的节点的数量依次标记为Sjd1至Sjdn，其中Sjd1为第一个划分级别内的节点的数量，Sjdn为第n个划分级别内的节点的数量；选取每个划分级别内的参考节点占比值，当该划分级别内的节点的数量为偶数时，选取该划分级别内的中间的两组节点的占比值作为参
考，并求取该划分级别内的中间的两组节点的占比值的平均值作为该划分级别的占比参考值；当该划分级别内的节点的数量为奇数时，选取该划分级别内的中间的一组的节点占比值作为该划分级别的占比参考值；
将每个划分级别的节点的数量以及占比参考值代入到节点划分均匀度公式中求得节点划分均匀度参考值；所述节点划分均匀度公式配置为：Chfj＝[|(Pzbc3-Pzbc2)-(Pzbc2-Pzbc1)|+...+|(Pzbcn-Pzbcn-1)-(Pzbcn-1-Pzbcn-2)|]×[|Sjd2-Sjd1|+...+|Sjdn-Sjdn-1|]；其中，Chfj为节点划分均匀度参考值，Pzbc1至Pzbcn分别为节点划分的第一级别的占比参考值至第n级别的占比参考值；
当节点划分均匀度参考值大于等于第一节点划分均匀度阈值时，将该区块链划分为低节点均匀度分布区块链；当节点划分均匀度参考值大于等于第二节点划分均匀度阈值且小于第一节点划分均匀度阈值时，将该区块链划分为中节点均匀度分布区块链；当节点划分均匀度参考值小于第二节点划分均匀度阈值时，将该区块链划分为高节点均匀度分布区块链。第一节点划分均匀度阈值大于第二节点划分均匀度阈值，且节点划分均匀度参考值越大表明该区块链的节点的占比之间相差的越大，这样在进行数据处理或数据篡改的过程中，某一个占比较大的节点就能够决定数据处理或篡改的决定权。
所述认证评估模块还配置有认证策略，所述认证策略包括：将该区块链的节点占比值的最大值、节点占比值的最小值、节点划分单位值以及节点划分均匀度参考值代入到区块链认证参考公式中求得区块链认证参考值；所述区块链认证参考公式配置为：其中，Crz为区块链认证参考值；
当区块链认证参考值大于等于第一区块链认证参考阈值时，将该区块链认证为高等级区块链；当区块链认证参考值大于等于第二区块链认证参考阈值且小于第一区块链认证参考阈值时，将该区块链认证为低等级区块链，其中，第一区块链认证参考阈值大于第二区块链认证参考阈值，且区
块链认证参考值越大表明该区块链的认证等级越高，认证等级越高表明该区块链的综合素质越高。
请参阅图2，本发明还提供一种基于数字服务技术的区块链认证平台的认证方法，所述认证方法包括如下步骤：
步骤S1，首先对区块链内的节点进行获取，然后获取到的每一个节点的特征进行获取；首先对节点的股权占比进行获取；然后对节点的计算机处理特征进行获取，对该节点的计算机的处理速度和计算机的处理量进行获取。
步骤S2，对获取到的节点以及节点的特征进行处理，并对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；将获取到的每个节点的股权占比、计算机的处理速度以及计算机的处理量代入到节点特征占比公式中求得节点占比值；求取区块链内若干节点的节点占比值的平均值，并将若干节点的节点占比值的平均值设定为区块链节点参考值，再获取若干节点的节点占比值中的最大值和最小值，再将区块链节点参考值、若干节点的节点占比值中的最大值和最小值代入到区块链节点划分单位公式中求得节点划分单位值，根据节点划分单位值依次由最小值的节点占比值到最大值的节点占比值对若干节点进行若干级别的划分。
步骤S3，对处理后的特征信息进行认证评估；分别获取划分后的每个级别内的节点的数量，并对不同级别的节点的数量依次标记为Sjd1至Sjdn，其中Sjd1为第一个划分级别内的节点的数量，Sjdn为第n个划分级别内的节点的数量；选取每个划分级别内的参考节点占比值，当该划分级别内的节点的数量为偶数时，选取该划分级别内的中间的两组节点的占比值作为参考，并求取该划分级别内的中间的两组节点的占比值的平均值作为该划分级别的占比参考值；当该划分级别内的节点的数量为奇数时，选取该划分级别内的中间的一组的节点占比值作为该划分级别的占比参考值；将每个
划分级别的节点的数量以及占比参考值代入到节点划分均匀度公式中求得节点划分均匀度参考值；
当节点划分均匀度参考值大于等于第一节点划分均匀度阈值时，将该区块链划分为低节点均匀度分布区块链；当节点划分均匀度参考值大于等于第二节点划分均匀度阈值且小于第一节点划分均匀度阈值时，将该区块链划分为中节点均匀度分布区块链；当节点划分均匀度参考值小于第二节点划分均匀度阈值时，将该区块链划分为高节点均匀度分布区块链。
将该区块链的节点占比值的最大值、节点占比值的最小值、节点划分单位值以及节点划分均匀度参考值代入到区块链认证参考公式中求得区块链认证参考值；当区块链认证参考值大于等于第一区块链认证参考阈值时，将该区块链认证为高等级区块链；当区块链认证参考值大于等于第二区块链认证参考阈值且小于第一区块链认证参考阈值时，将该区块链认证为低等级区块链。
最后应说明的是：以上所述实施例，仅为本发明的具体实施方式，用以说明本发明的技术方案，而非对其限制，本发明的保护范围并不局限于此，尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本发明实施例技术方案的精神和范围，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以所述权利要求的保护范围为准。
Claims (9)
- 基于数字服务技术的区块链认证平台，其特征在于，所述认证平台包括特征获取模块、特征处理模块以及认证评估模块，所述特征获取模块用于获取区块链的特征，所述特征处理模块用于对获取到的区块链的特征进行处理；所述特征获取模块包括节点获取单元以及节点特征获取单元，所述节点获取单元用于对区块链内的节点进行获取，所述节点特征获取单元用于对获取到的每一个节点的特征进行获取；所述特征处理模块包括节点特征处理单元，所述节点特征处理单元用于对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；所述认证评估模块用于对处理后的特征信息进行认证评估。
- 根据权利要求1所述的基于数字服务技术的区块链认证平台，其特征在于，所述节点特征获取单元配置有节点特征获取策略，所述节点特征获取策略包括：首先对节点的股权占比进行获取；然后对节点的计算机处理特征进行获取，对该节点的计算机的处理速度和计算机的处理量进行获取。
- 根据权利要求2所述的基于数字服务技术的区块链认证平台，其特征在于，所述节点特征处理单元配置有节点特征处理策略，所述节点特征处理策略包括：将获取到的每个节点的股权占比、计算机的处理速度以及计算机的处理量代入到节点特征占比公式中求得节点占比值；求取区块链内若干节点的节点占比值的平均值，并将若干节点的节点占比值的平均值设定为区块链节点参考值，再获取若干节点的节点占比值中的最大值和最小值，再将区块链节点参考值、若干节点的节点占比值中的最大值和最小值代入到区块链节点划分单位公式中求得节点划分单位值，根据节点划分单位值依次由最小值的节点占比值到最大值的节点占比值对若干节点进行若干级别的划分。
- 根据权利要求3所述的基于数字服务技术的区块链认证平台，其特征 在于，所述节点特征占比公式配置为：Pjdz＝Vcl×Lcl×Zgq；其中Pjdz为节点占比值；Vcl为计算机的处理速度，Lcl为计算机的处理量，Zgq为股权占比；所述区块链节点划分单位公式配置为：其中，Dhf为节点划分单位值，Pjdzmax为若干节点占比值中的最大值，Pjdzmin为若干节点占比值中的最小值，Pjdzc为区块链节点参考值，a为划分频率参考系数。
- 根据权利要求4所述的基于数字服务技术的区块链认证平台，其特征在于，所述认证评估模块配置有评估策略，所述评估策略包括：分别获取划分后的每个级别内的节点的数量，并对不同级别的节点的数量依次标记为Sjd1至Sjdn，其中Sjd1为第一个划分级别内的节点的数量，Sjdn为第n个划分级别内的节点的数量；选取每个划分级别内的参考节点占比值，当该划分级别内的节点的数量为偶数时，选取该划分级别内的中间的两组节点的占比值作为参考，并求取该划分级别内的中间的两组节点的占比值的平均值作为该划分级别的占比参考值；当该划分级别内的节点的数量为奇数时，选取该划分级别内的中间的一组的节点占比值作为该划分级别的占比参考值；将每个划分级别的节点的数量以及占比参考值代入到节点划分均匀度公式中求得节点划分均匀度参考值；当节点划分均匀度参考值大于等于第一节点划分均匀度阈值时，将该区块链划分为低节点均匀度分布区块链；当节点划分均匀度参考值大于等于第二节点划分均匀度阈值且小于第一节点划分均匀度阈值时，将该区块链划分为中节点均匀度分布区块链；当节点划分均匀度参考值小于第二节点划分均匀度阈值时，将该区块链划分为高节点均匀度分布区块链。
- 根据权利要求5所述的基于数字服务技术的区块链认证平台，其特征在于，所述节点划分均匀度公式配置为： Chfj＝[|(Pzbc3-Pzbc2)-(Pzbc2-Pzbc1)|+...+|(Pzbcn-Pzbcn-1)-(Pzbcn-1-Pzbcn-2)|]×[|Sjd2-Sjd1|+...+|Sjdn-Sjdn-1|]；其中，Chfj为节点划分均匀度参考值，Pzbc1至Pzbcn分别为节点划分的第一级别的占比参考值至第n级别的占比参考值。
- 根据权利要求6所述的基于数字服务技术的区块链认证平台，其特征在于，所述认证评估模块还配置有认证策略，所述认证策略包括：将该区块链的节点占比值的最大值、节点占比值的最小值、节点划分单位值以及节点划分均匀度参考值代入到区块链认证参考公式中求得区块链认证参考值；当区块链认证参考值大于等于第一区块链认证参考阈值时，将该区块链认证为高等级区块链；当区块链认证参考值大于等于第二区块链认证参考阈值且小于第一区块链认证参考阈值时，将该区块链认证为低等级区块链。
- 根据权利要求7所述的基于数字服务技术的区块链认证平台，其特征在于，所述区块链认证参考公式配置为：其中，Crz为区块链认证参考值。
- 权利要求1所述的基于数字服务技术的区块链认证平台的认证方法，其特征在于，所述认证方法包括如下步骤：步骤S1，首先对区块链内的节点进行获取，然后获取到的每一个节点的特征进行获取；步骤S2，对获取到的节点以及节点的特征进行处理，并对获取到的节点的特征设定统一的处理方案，并根据统一的处理方案对每个节点的特征进行处理；步骤S3，对处理后的特征信息进行认证评估。
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| CN108615153A (zh) * | 2018-04-28 | 2018-10-02 | 百度在线网络技术（北京）有限公司 | 区块链数据的处理方法、装置、系统、设备和存储介质 |
| CN110866546A (zh) * | 2019-10-30 | 2020-03-06 | 深圳前海微众银行股份有限公司 | 一种共识节点的评估方法及装置 |
| CN110945853A (zh) * | 2018-12-07 | 2020-03-31 | 北京大学深圳研究生院 | 基于联盟链投票共识算法产生及管理多模标识网络的方法 |
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| CN114866558A (zh) * | 2022-05-10 | 2022-08-05 | 厦门理工学院 | 基于数字服务技术的区块链认证平台与方法 |
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