CN113256289B - Block chain judging method and device and electronic equipment - Google Patents
Block chain judging method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a method and a device for discriminating a blockchain and electronic equipment. Wherein the method comprises the following steps: acquiring a target data set of a target block chain to be distinguished, wherein the target data set corresponds to a preset dimension; the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension; verifying a target set of data for each of a plurality of dimensions for a target blockchain; and generating a judging result of the target block chain according to the checking result of the target data set, wherein the judging result comprises judging information of whether the target block chain belongs to the public chain, so that the authenticity judgment of the public chain is realized. According to the method, the public chain is automatically judged through the judging server, so that the manual participation is reduced, and the public chain judging efficiency is improved; and in the judging process, the public chain is judged through a plurality of dimensions, so that the authenticity of the public chain is judged more comprehensively, the public chain judging accuracy is improved, and the public chain judging method has good practical value.
Description
Technical Field
The present invention relates to the field of blockchain technologies, and in particular, to a method and an apparatus for determining blockchain, and an electronic device.
Background
The public chain (public chain) refers to a blockchain which can be read and sent by anyone worldwide, can effectively confirm transactions and can also participate in a consensus process, and the success of the bitcoin shows how the blockchain technology can create an encrypted currency, and the existing blockchain application technology has been widely applied in the financial fields such as stock transactions, medical data sharing and the like. There are typically a large number of peers in a blockchain, particularly in a public chain, any entity in the world can join and become a peer, thus ensuring the decentralization and trustworthiness of the public chain.
However, many information differences using public knowledge of blockchain appear in the network at present, and the public investment is cheated by issuing virtual coins through fake public chain projects, so that the investment loss of investors is caused, and therefore, the judgment of the authenticity of the public chain is of great significance.
The existing public chain true and false judging method mainly carries out judgment manually, the method is relatively dependent on the technical expertise of judgment staff, is not suitable for the general public, and the manual judgment not only consumes a great deal of manpower, but also is easy to cause judgment errors due to negligence of judgment, thereby reducing the efficiency and accuracy of public chain judgment.
Disclosure of Invention
Therefore, the invention aims to provide a method and a device for discriminating a blockchain and electronic equipment, so as to alleviate the problems, reduce the manual participation and improve the efficiency and the accuracy of the public chain discrimination.
In a first aspect, an embodiment of the present invention provides a method for determining a blockchain, which is applied to a determining server, where the method includes: acquiring a target data set of a target block chain to be distinguished, wherein the target data set corresponds to a preset dimension; wherein the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension; verifying a target set of data for each of a plurality of dimensions for a target blockchain; and generating a judging result of the target blockchain according to the checking result of the target data set, wherein the judging result comprises judging information of whether the target blockchain belongs to a public chain.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of verifying the target data set corresponding to each of the multiple dimensions of the target blockchain includes: acquiring a basic data set of a trusted public chain corresponding to a preset dimension; the basic data set comprises a core source code set of a source code dimension and a basic white book data set of a white book dimension; verifying a target data set of a source code dimension based on the core source code set; and/or verifying the target data set for the white book dimension based on the base white book data set.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of verifying the target data set of the source code dimension based on the core source code set includes: checking the source code similarity of the target source code of the target block chain corresponding to the source code dimension and the core source code set; and determining a detection result corresponding to the source code dimension according to the source code similarity and a preset similarity threshold.
With reference to the first possible implementation manner of the first aspect, the embodiment of the present invention provides a third possible implementation manner of the first aspect, wherein the basic white book data set includes a basic white book picture data set and a basic white book text data set; the step of verifying the target data set of the white book dimension based on the basic white book data set comprises the following steps: analyzing the target white book data of the target blockchain corresponding to the white book dimension to obtain target white book picture data and target white book text data; verifying the target white paper picture data based on the base white paper picture data set; and/or, checking the target white book text data based on the basic white book text data set to obtain a checking result corresponding to the white book dimension.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the target data set includes: the step of verifying the target data set of the target blockchain corresponding to each of the plurality of dimensions further comprises: executing a node deployment process of the target blockchain based on the target node deployment data, and determining a check result of the node dimension according to an execution result of the target node deployment data; and/or running the wallet of the target blockchain based on the target wallet data, checking the preset function of the wallet, and determining the checking result of the wallet dimension according to the checking result.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the target data set includes target block browser address data of a block browser dimension, and the step of verifying the target data set corresponding to each of a plurality of dimensions by using the target block chain, further includes: based on the target block browser address data, acquiring preset data information in the target block chain, wherein the preset data information comprises at least one of the following: block height information, transaction total amount information, node summary information, transaction information and block out information; and checking the preset data information based on the preset reference information to obtain a checking result of the dimension of the block browser.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the test result includes a test result of each of multiple dimensions; the detection result of each dimension also carries label information, and the label information is used for representing the authenticity information of the target block chain to the dimension; the step of generating the discrimination result of the target blockchain according to the test result of the target data set includes: counting the total number of the label information as the pseudo information in the test result of the target data set of each dimension; and generating a discrimination result of the target blockchain based on the ratio of the total number to the total number of the dimensions of the plurality of dimensions.
With reference to the first aspect, an embodiment of the present invention provides a seventh possible implementation manner of the first aspect, where the test result includes a test score of each dimension in a plurality of dimensions, and each dimension is further configured with a weight; the step of generating the discrimination result of the target blockchain according to the test result of the target data set includes: calculating a test total score according to the test score of the target data set of each dimension and the weight corresponding to the dimension; and generating a judging result of the target block chain according to the total check score and the preset score threshold.
With reference to the first aspect, an embodiment of the present invention provides an eighth possible implementation manner of the first aspect, where the step of verifying the target data set corresponding to each of the multiple dimensions by the target blockchain further includes: responding to time setting operation of a user, and acquiring checking time information of a target block chain; wherein the inspection time information includes a start time and an end time; the target data set corresponding to each of the plurality of dimensions of the target blockchain is verified according to the verification time information.
In a second aspect, an embodiment of the present invention further provides a device for determining a blockchain, which is applied to a determining server, where the device includes: the target data set acquisition module is used for acquiring a target data set of a target block chain to be distinguished, wherein the target data set corresponds to a preset dimension; wherein the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension; a target data set checking module for checking a target data set of the target blockchain corresponding to each of the plurality of dimensions; and the judging result generating module is used for generating judging results of the target block chain according to the checking results of the target data set, wherein the judging results comprise judging information of whether the target block chain belongs to a public chain or not.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of the blockchain determination method of the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor performs the steps of the blockchain determination method of the first aspect.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method, a device and electronic equipment for discriminating a block chain, which are used for verifying a target data set of multiple dimensions of a target block chain to be discriminated, and generating a discriminating result of the target block chain according to the verifying result, wherein the discriminating result comprises discriminating information of whether the target block chain belongs to a public chain or not, so that true and false discrimination of the public chain is realized; therefore, the public chain is automatically judged by the judging server, so that the manual participation is reduced, and the public chain judging efficiency is improved; and in the judging process, the public chain is judged through a plurality of dimensions, so that the authenticity of the public chain is judged more comprehensively, the public chain judging accuracy is improved, and the public chain judging method has good practical value.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a discrimination server according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining a blockchain according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another discrimination server according to an embodiment of the present invention;
FIG. 4 is a flowchart of another block chain determination method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a device for determining a blockchain according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Aiming at the problem that in the existing artificial public chain distinguishing process, the distinguishing efficiency and accuracy are low, the embodiment of the invention provides the distinguishing method and device of the block chain and the electronic equipment, reduces the manual participation, improves the public chain distinguishing efficiency and accuracy, and has good practical value.
For the convenience of understanding the present embodiment, the following first describes in detail the method for determining a blockchain according to the embodiment of the present invention. The execution main body is a discrimination server, as shown in fig. 1, the discrimination server 1 mainly comprises an acquisition module 10, a discrimination module 20 and a manual module 30; in practical application, the acquisition module is mainly used for acquiring a basic data set for distinguishing the blockchain, for example, acquiring the basic data set from an external platform (such as a software open source platform, a social platform and the like), and sending the acquired basic data set to the distinguishing module, so that the distinguishing module can inspect the blockchain to be distinguished according to the basic data set and a preset inspection logic, and a distinguishing result of the blockchain to be distinguished is obtained; the manual module comprises a display unit (such as a display screen) and an operation unit (such as a keyboard, a mouse, a microphone, a touch screen and the like), wherein the display unit is used for displaying the discrimination result sent by the discrimination module, so that an operator or a user can carry out secondary manual checking on the blockchain to be discriminated according to the discrimination result, the operation unit is used for inputting project original data of the blockchain to be discriminated such as addresses of various designated information sources and the like, and sending the project original data to the discrimination module, so that the discrimination module can more comprehensively check whether the blockchain to be discriminated belongs to a public chain or not according to the project original data, and if the blockchain to be discriminated is a true public chain or a false public chain, the automatic discrimination function of the public chain is realized through the discrimination server, and the accuracy of the discrimination result is ensured.
Based on the above-mentioned discrimination server, the embodiment of the invention provides a discrimination method of a blockchain, as shown in fig. 2, the method includes the following steps:
step S202, a target data set of a target blockchain to be distinguished, which corresponds to a preset dimension, is obtained;
wherein the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension; therefore, the target blockchain is inspected through multiple dimensions, and on the basis of guaranteeing the distinguishing efficiency, the inspection index of the target blockchain is enriched, so that the target blockchain is more comprehensively distinguished, and the accuracy of a distinguishing result is improved. It should be noted that, the number of dimensions in the preset dimensions may be set according to actual situations, and in the embodiment of the present invention, the preset dimensions preferably include the 7 dimensions.
Step S204, checking a target data set of the target blockchain corresponding to each of a plurality of dimensions;
specifically, before the target blockchain is checked, the discrimination server also firstly acquires a basic data set of the trusted public chain corresponding to a preset dimension; the basic data set comprises a core source code set of a source code dimension and a basic white book data set of a white book dimension; in practical application, the judging server can acquire an open source core source code set (also called a core source code set) of a trusted public chain in a software open source platform through a network, wherein the core source code set comprises a plurality of source codes of a trusted main stream public chain core version, such as consensus codes, transaction codes and the like; the main stream public chain comprises a bit coin, an ethernet, an EOS (Enterprise Operating System, an enterprise operating system), a wave card and the like, so that in practical application, the source dimension of most target blockchains can be checked based on the core source code set, particularly, the core source code set can be enriched by individual target blockchains before discrimination, such as collecting source codes of specified information sources and the like, and the method can be specifically set according to practical situations.
For ease of understanding, the inspection process for each dimension is described below:
(1) Source code dimension; specifically, verifying the source code similarity of the target source code and the core source code set of the target block chain corresponding to the source code dimension; and determining a detection result corresponding to the source code dimension according to the source code similarity and a preset similarity threshold. In practical application, an operator firstly inputs source codes of a target blockchain to a judging server, then the judging server automatically compares the target source codes of the target blockchain with a plurality of source codes in a core source code set, judges whether the target source codes have plagiarism according to the similarity of the source codes, and judges whether the target source codes have plagiarism if the similarity of the source codes is larger than a preset similarity threshold value. It should be noted that, the preset similarity threshold may be set according to practical situations, which is not limited by the embodiment of the present invention.
(2) Node dimension; wherein the target data set includes target node deployment data for nodes of the target blockchain for the node dimension; and executing a node deployment process of the target block chain based on the target node deployment data, and determining a check result of the node dimension according to an execution result of the target node deployment data. Specifically, for the target node deployment data of the target blockchain, the discrimination server automatically executes the target node deployment data in the virtual environment, such as running the target node deployment data through a preset first virtual machine, and checking whether the execution can be successful. Because the false public chain does not provide the node deployment data or the provided node deployment data cannot be normally executed, if the operation result of the target node deployment data is that the execution fails, the target block chain is necessarily the false public chain, otherwise, if the operation result of the target node deployment data is that the execution succeeds, the target node deployment data of the target block chain can be determined to be real and available, and whether the target block chain is the true public chain or not also needs to be combined with the test results of other dimensions.
(3) A tile browser dimension; in the process of acquiring the target data set of the target blockchain corresponding to the preset dimension, the judging server can acquire target block browser address data of the target blockchain corresponding to the dimension of the block browser, which is input by an operator; when the dimension of the block browser is checked, the judging server obtains preset data information in the target block chain based on target block browser address data of the target block chain corresponding to the dimension of the block browser, wherein the preset data information comprises at least one of the following: block height information, transaction total amount information, node summary information, transaction information and block out information; and checking the preset data information based on the preset reference information to obtain a checking result of the dimension of the block browser. The transaction information and the block-out information are preferably the latest transaction information and the latest block-out information, for example, the latest transaction information and the latest block-out information are acquired through a network, and the like, and can be specifically set according to actual situations.
Specifically, the judging server automatically accesses the target block browser address data, and captures content elements of pages corresponding to the target block browser address data to obtain preset data information in a target block chain; checking preset data information based on preset reference information, wherein the preset reference information comprises block height information, transaction total amount information, node summary information, transaction information, block output information and the like, if the preset data information does not contain any one of the reference information, judging that the target blockchain is a suspected pseudo-public chain, and judging whether the target blockchain is the pseudo-public chain by integrating the checking results of the other dimensions; otherwise, if the preset data information has one or more of the above reference information, for example, the preset data information has block height information and transaction total amount information, the authenticity of the target block chain cannot be determined at this time, and whether the target block chain is a true public chain or a false public chain needs to be determined by combining the test results of the other dimensions; and labeling information in the reference information lacking in the target blockchain in the checking result of the dimension of the block browser, such as labeling node summary information lacking, transaction information, block output information and the like, so that an operator can conveniently and manually judge according to the checking result. It should be noted that, the above reference information may also include other information, and may be specifically set according to actual situations.
(4) White book dimensions; since the basic white book data set comprises a basic white book picture data set and a basic white book text data set; in the checking process, firstly, analyzing target white book data of a target blockchain corresponding to white book dimensions to obtain target white book picture data and target white book text data; verifying the target white paper picture data based on the base white paper picture data set; and/or, checking the target white book text data based on the basic white book text data set to obtain a checking result corresponding to the white book dimension.
Specifically, the judging server automatically analyzes the target white paper book data to obtain target white paper book picture data and target white paper book text data, and then the target white paper book picture data is checked through a basic white paper book picture data set; checking the target white book text data through the basic white book text data set, if the content completely consistent with the target white book picture data is checked in the basic white book picture data set or the content completely consistent with the target white book text data is checked in the basic white book text data set, judging whether the target white book data of the target blockchain has plagiarism, namely judging that the target blockchain is a suspected pseudo-public chain, and judging whether the target blockchain is the pseudo-public chain or not by combining the checking results of the other dimensions; if the content completely consistent with the target white book picture data is not detected in the basic white book picture data set, and the content completely consistent with the target white book text data is not detected in the basic white book text data set, or a certain similarity exists, but the similarity is smaller than a preset threshold value, whether the target white book data of the target blockchain is plagiarism or not can be judged, and whether the target blockchain is a true public chain or not is judged comprehensively by combining the detection results of the other dimensions. In particular, for part of the blockchain, both the target white book picture data and the target white book text data can be tested in the test process, so that the accuracy of a test result corresponding to the white book dimension is ensured, and the setting can be specifically performed according to an actual situation.
The basic white book picture data set and the basic white book text data set in the basic white book data set can be acquired through specified pages, such as pages of a social platform and other specified websites, and the basic white book data set can not meet actual inspection requirements for part of blockchains, so that besides the basic white book data set, operators can also input a white book specified information search engine in advance, and the basic white book data set and the white book specified information search engine are used for inspecting target white book data, so that accuracy of inspection results corresponding to white book dimensions is guaranteed, and accuracy of blockchain discrimination results is improved.
(5) Wallet dimension; the target data set further comprises target wallet data of wallets for providing target blockchains of wallets in wallet dimensions, the wallets of the target blockchains are operated based on the target wallet data, preset functions of the wallets are checked, and check results of the wallet dimensions are determined according to the check results. Specifically, for target wallet data of a target blockchain, a discrimination server automatically executes the target wallet data in a virtual environment to run a wallet of the target blockchain, and checks preset functions of the wallet, wherein the preset functions include, but are not limited to, creation, collection, payment and the like of a target wallet account, and since a fake public chain often packages the wallet data, if the running result of the target wallet data is that the execution fails, the target blockchain is judged to be a suspected fake public chain, and whether the target blockchain is a fake public chain is judged by integrating check results of other dimensions; otherwise, if the running result of the target wallet data is that the execution is successful, it can be determined that the target wallet data of the target blockchain is real and available, but whether the target blockchain is a true public chain or not needs to be combined with the checking result of the other dimensions.
(6) Community dimension; specifically, the discrimination server automatically acquires target community data of a designated information source related to a target blockchain, wherein the designated information source comprises, but is not limited to, a software open source platform, a social platform and the like, the target community data comprises data of the number of participants, the code submission times, the code submission frequency, the topic number of discussion, the topic discussion heat and the like related to the target blockchain, then performs statistical analysis on the target community data, such as whether community ecology of the target blockchain is active or not and the like, and determines an analysis result as a test result of community dimension.
(7) Public opinion dimension; specifically, the discrimination server automatically acquires target public opinion data of a specified public opinion source related to a target blockchain, wherein the target public opinion data comprises user comments, self-media analysis articles, news reports and the like related to the target blockchain, searches the target public opinion data, for example, searches whether the target blockchain has fraud and other behaviors in the target public opinion data, and determines a search result as a community dimension test result.
In summary, in the above dimension inspection process, since some dimensions need to acquire the data of the specified information source, before the target blockchain inspection, an operator may store the required specified information source address to the distinguishing server, so that the distinguishing server directly acquires the page data of the specified information source in the inspection process, thereby improving the distinguishing efficiency.
It should be noted that, the inspection results of the dimensions may not be accurate enough, and the authenticity of the target blockchain cannot be determined, so in practical application, multiple dimensions can be selected according to practical situations to inspect the target blockchain at the same time, and the embodiment of the invention preferably adopts the seven dimensions to inspect the target blockchain at the same time, as shown in fig. 3, the seven dimensions inspect in parallel, and generate a discrimination result according to the inspection result of each dimension, thereby inspecting the target blockchain more comprehensively and improving the discrimination accuracy; in addition, in the checking process, the plurality of dimensions are checked in parallel, namely, the plurality of dimensions are used for checking the target block chain at the same time, so that the checking efficiency is improved, and the judging efficiency is further improved.
Step S206, generating a judging result of the target block chain according to the checking result of the target data set.
The above-mentioned discrimination result includes discrimination information about whether the target blockchain belongs to the public chain, for example, discrimination information about whether the target blockchain belongs to the true public chain or to the false public chain. Optionally, the above-mentioned inspection result includes an inspection result of the target data set of each dimension in the plurality of dimensions, and the inspection result of each dimension further carries tag information, where the tag information is used to represent authenticity information of the target blockchain for the dimension. Thus, one possible generation process of the above discrimination result includes: counting the total number of the label information as the pseudo information in the test result of the target data set of each dimension; and generating a discrimination result of the target blockchain based on the ratio of the total number to the total number of the dimensions of the plurality of dimensions. Specifically, according to the label information carried by the inspection result of each dimension in the plurality of dimensions, counting the total number of the inspection results in the plurality of dimensions as pseudo information, if the preset dimension comprises 7 dimensions, wherein the number of the inspection results of the label information as the pseudo information is 4, calculating a ratio such as 4/7 according to the total number and the total number of the dimensions in the plurality of dimensions, setting a threshold value of the ratio, and when the ratio is larger than the threshold value, indicating that the inspection results of most of the dimensions in the plurality of dimensions are all pseudo information, and judging that the target block chain is a pseudo public chain. In addition, the test results of multiple dimensions can be output to the manual module, so that an operator can perform secondary manual test and the like according to the test results of the dimensions, and the test results can be specifically set according to actual conditions.
It should be noted that, the tag information may include, in addition to the authenticity information of the target blockchain in the dimension, result analysis information of each dimension, for example, problems occurring in the target blockchain in the dimension checking process, for example, a plagiarism of a target source code of the target blockchain, or lack of transaction information and output block information of page data corresponding to address data of the target blockchain browser, which may be specifically set according to an actual situation.
Optionally, the test result may further include a test score of each dimension in the plurality of dimensions, and each dimension is further configured with a weight, and another possible generation process of the discrimination result includes: calculating a test total score according to the test score of the target data set of each dimension and the weight corresponding to the dimension; and generating a judging result of the target block chain according to the total check score and the preset score threshold. Specifically, the weight of each dimension can be set according to the actual situation, for example, the weight of the source code dimension is higher than the weights of the other dimensions, and the like, then the test score of each dimension in the plurality of dimensions and the weight corresponding to the dimension are calculated, so that the test total score of the target blockchain can be obtained, whether the test total score is higher than a preset score threshold value is judged, and if so, a judging result that the target blockchain is a true public chain is generated; if not, generating a judging result that the target block chain is a pseudo public chain. It should be noted that if the total score is equal to the preset score threshold, the target blockchain may be determined as a true public chain, and the determination result is sent to the manual module, so that the determination is performed again by the manual test mode, thereby improving the accuracy of the public chain determination.
According to the method for discriminating the blockchain, provided by the embodiment of the invention, the target data sets of multiple dimensions of the target blockchain to be discriminated are checked, and the discrimination result of the target blockchain is generated according to the checking result, so that the public chain is automatically discriminated through the discrimination server, the manual participation is reduced, and the public chain discrimination efficiency is improved; and in the judging process, the public chain is judged through a plurality of dimensions, so that the authenticity of the public chain is judged more comprehensively, the public chain judging accuracy is improved, and the public chain judging method has good practical value.
On the basis of fig. 2, the embodiment of the present invention further provides another method for discriminating a blockchain, which mainly describes a process of checking a target blockchain according to checking time information set by a user or an operator, as shown in fig. 4, and includes the following steps:
step S402, a target data set of a target block chain to be judged corresponding to a preset dimension is obtained;
wherein the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension; reference may be made specifically to the foregoing embodiments, and detailed descriptions of the embodiments of the present invention are omitted herein.
Step S404, responding to the time setting operation of the user, and acquiring the checking time information of the target block chain; wherein the inspection time information includes a start time and an end time;
specifically, before the target blockchain is distinguished, the user or the operator can also set the inspection time information through a manual module, such as inputting the start time and the end time of the target blockchain distinguishing through a keyboard, or selecting a certain time period from a plurality of time periods pre-stored in a distinguishing server as the inspection time information, and the like, and the inspection time information can be specifically set according to actual situations.
Step S406, verifying the target data set of the target blockchain corresponding to each of the plurality of dimensions according to the verification time information;
after the setting of the checking time information is finished, the judging server checks the target data set of each dimension of the target blockchain corresponding to the checking time information, so that the problem that the judging result is inaccurate due to the fact that the judging time of the target blockchain is too short is avoided, and if the target public opinion data of the target blockchain is possibly insufficient in a short time, the detecting result of the public opinion dimension is inaccurate, and the judging result of the whole target blockchain is influenced; or the discrimination efficiency is too slow due to the overlong discrimination time, so that the actual application requirements of the target block chain are affected. In addition, the setting mode of the inspection time information reduces the technical requirements of operators or users while reducing the manual participation, and has good practical value.
In addition, in addition to setting the checking time information, the operator may set the monitoring time for the target blockchain after the end of the discrimination so as to continue monitoring the target blockchain after the end of the discrimination, and check the target blockchain again according to the monitoring result. For example, in the checking process of a certain target blockchain, the acquired target community data and target public opinion data are very few or none, at this time, the target blockchain can be checked through other dimensions, after the judgment is finished, the monitoring time is set, the target blockchain is continuously monitored in the monitoring time, and according to the monitored target community data and target public opinion data, the judgment result of the target blockchain is generated again in combination with the check result of the previous other dimensions, so that the judgment accuracy is ensured.
Step S408, a judging result of the target block chain is generated according to the checking result of the target data set.
The judging result comprises judging information of whether the target blockchain belongs to the public chain, so that the judging method of the blockchain not only automatically judges the public chain through the judging server, but also reduces the manual participation and improves the judging efficiency of the public chain; meanwhile, in the judging process, the public chain is judged through multiple dimensions, so that the authenticity of the public chain is judged more comprehensively, and the accuracy of judging the public chain is improved; and the technical requirements on operators are also reduced, so that the method has good practical value.
Corresponding to the method embodiment shown in fig. 2, the embodiment of the invention also provides a device for discriminating the blockchain, which is applied to a discriminating server. As shown in fig. 5, the apparatus includes a target data set acquisition module 51, a target data set inspection module 52, and a discrimination result generation module 53, which are connected in this order; wherein, the functions of each module are as follows:
the target data set obtaining module 51 is configured to obtain a target data set of a target blockchain to be distinguished, the target data set corresponding to a preset dimension; wherein the preset dimensions include a plurality of the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension;
a target data set verification module 52 for verifying a target data set of the target blockchain corresponding to each of the plurality of dimensions;
the discrimination result generating module 53 is configured to generate a discrimination result of the target blockchain based on the inspection result of the target dataset, where the discrimination result includes discrimination information about whether the target blockchain belongs to the public chain.
According to the device for discriminating the blockchain, provided by the embodiment of the invention, the target data sets of multiple dimensions of the target blockchain to be discriminated are inspected, and the discrimination result of the target blockchain is generated according to the inspection result, so that the public chain is automatically discriminated through the discrimination server, the manual participation is reduced, and the public chain discrimination efficiency is improved; and in the judging process, the public chain is judged through a plurality of dimensions, so that the authenticity of the public chain is judged more comprehensively, the public chain judging accuracy is improved, and the public chain judging method has good practical value.
In one possible embodiment, the target data set verification module 52 is further configured to: acquiring a basic data set of a trusted public chain corresponding to a preset dimension; the basic data set comprises a core source code set of a source code dimension and a basic white book data set of a white book dimension; verifying a target data set of a source code dimension based on the core source code set; and/or verifying the target data set for the white book dimension based on the base white book data set.
In another possible embodiment, the verifying the target data set of the source code dimension based on the core source code set includes: checking the source code similarity of the target source code of the target block chain corresponding to the source code dimension and the core source code set; and determining a detection result corresponding to the source code dimension according to the source code similarity and a preset similarity threshold.
In another possible embodiment, the base white book dataset includes a base white book picture dataset and a base white book text dataset; the verifying the target data set of the white book dimension based on the basic white book data set comprises the following steps: analyzing the target white book data of the target blockchain corresponding to the white book dimension to obtain target white book picture data and target white book text data; verifying the target white paper picture data based on the base white paper picture data set; and/or, checking the target white book text data based on the basic white book text data set to obtain a checking result corresponding to the white book dimension.
In another possible embodiment, the target data set includes: target node deployment data for deploying nodes of the target blockchain in a node dimension and/or target wallet data for providing wallets of the target blockchain in a wallet dimension; the target dataset verification module 52 is also configured to: executing a node deployment process of the target blockchain based on the target node deployment data, and determining a check result of the node dimension according to an execution result of the target node deployment data; and/or running the wallet of the target blockchain based on the target wallet data, checking the preset function of the wallet, and determining the checking result of the wallet dimension according to the checking result.
In another possible embodiment, the target data set includes target tile browser address data of a tile browser dimension, and the target data set checking module 52 is further configured to: based on the target block browser address data, acquiring preset data information in the target block chain, wherein the preset data information comprises at least one of the following: block height information, transaction total amount information, node summary information, transaction information and block out information; and checking the preset data information based on the preset reference information to obtain a checking result of the dimension of the block browser.
In another possible embodiment, the test results include test results for each of a plurality of dimensions; the detection result of each dimension also carries label information, and the label information is used for representing the authenticity information of the target block chain to the dimension; the discrimination result generation module 53 is further configured to: counting the total number of the label information as the pseudo information in the test result of the target data set of each dimension; and generating a discrimination result of the target blockchain based on the ratio of the total number to the total number of the dimensions of the plurality of dimensions.
In another possible embodiment, the test result includes a test score for each of a plurality of dimensions, each dimension further configured with a weight; the discrimination result generation module 53 is further configured to: calculating a test total score according to the test score of the target data set of each dimension and the weight corresponding to the dimension; and generating a judging result of the target block chain according to the total check score and the preset score threshold.
In another possible embodiment, the target data set verification module 52 is further configured to: responding to time setting operation of a user, and acquiring checking time information of a target block chain; wherein the inspection time information includes a start time and an end time; the target data set corresponding to each of the plurality of dimensions of the target blockchain is verified according to the verification time information.
The device for discriminating the blockchain provided by the embodiment of the invention has the same technical characteristics as the method for discriminating the blockchain provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory, wherein the memory stores machine executable instructions which can be executed by the processor, and the processor executes the machine executable instructions to realize the method for judging the blockchain.
Referring to fig. 6, the electronic device includes a processor 60 and a memory 61, the memory 61 storing machine executable instructions that can be executed by the processor 60, the processor 60 executing the machine executable instructions to implement the above-described blockchain discrimination method.
Further, the electronic device shown in fig. 6 further includes a bus 62 and a communication interface 63, and the processor 60, the communication interface 63, and the memory 61 are connected by the bus 62.
The memory 61 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is achieved via at least one communication interface 63 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc. Bus 62 may be an ISA (Industrial Standard Architecture, industry standard architecture) bus, PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Enhanced Industry Standard Architecture, extended industry standard architecture) bus, among others. The buses may be classified into address buses, data buses, control buses, and the like. For ease of illustration, only one bi-directional arrow is shown in FIG. 6, but not only one bus or type of bus.
The processor 60 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in the processor 60. The processor 60 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 61 and the processor 60 reads the information in the memory 61 and in combination with its hardware performs the steps of the method of the previous embodiment.
The present embodiment also provides a machine-readable storage medium storing machine-executable instructions that, when invoked and executed by a processor, cause the processor to implement the above-described blockchain discrimination method.
The method, the apparatus and the computer program product of the electronic device for discriminating a blockchain provided in the embodiments of the present invention include a computer readable storage medium storing a program code, and the instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment and will not be repeated herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In addition, in the description of embodiments of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (11)
1. A method for discriminating a blockchain, which is applied to a discriminating server, the method comprising:
acquiring a target data set of a target block chain to be distinguished, wherein the target data set corresponds to a preset dimension; wherein the preset dimensions include a plurality of dimensions from the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension;
Verifying a target data set of the target blockchain corresponding to each of the plurality of dimensions;
generating a judging result of the target block chain according to the checking result of the target data set, wherein the judging result comprises judging information of whether the target block chain belongs to a public chain or not;
the target data set includes: the node dimension is used for deploying target node deployment data of nodes of a target blockchain and/or target wallet data of the wallet dimension is used for providing wallets of the target blockchain, and the step of verifying target data sets of the target blockchain corresponding to each dimension of the plurality of dimensions further comprises: executing a node deployment process of the target blockchain based on the target node deployment data, and determining a check result of the node dimension according to an execution result of the target node deployment data; and/or running the wallet of the target blockchain based on the target wallet data, checking the preset function of the wallet, and determining the checking result of the wallet dimension according to the checking result.
2. The method of claim 1, wherein the step of verifying the target data set for each of the plurality of dimensions for the target blockchain includes:
Acquiring a basic data set of a trusted public chain corresponding to the preset dimension; the basic data set comprises a core source code set of the source code dimension and a basic white book data set of the white book dimension;
verifying a target data set of the source code dimension based on the core source code set; and/or verifying a target dataset for the white book dimension based on the base white book dataset.
3. The method of claim 2, wherein the step of verifying the target data set for the source dimension based on the core source code set comprises:
verifying the source code similarity of the target source code of the target block chain corresponding to the source code dimension and the core source code set;
and determining a detection result corresponding to the source code dimension according to the source code similarity and a preset similarity threshold.
4. The method of claim 2, wherein the base white book dataset comprises a base white book picture dataset and a base white book text dataset; the step of verifying the target dataset of the white book dimension based on the base white book dataset comprises:
Analyzing the target white book data of the target blockchain corresponding to the white book dimension to obtain target white book picture data and target white book text data;
verifying the target white paper picture data based on the base white paper picture dataset; and/or, based on the basic white paper character data set, checking the target white paper character data to obtain a checking result corresponding to the white paper dimension.
5. The method of claim 1, wherein the target data set comprises target tile browser address data for the tile browser dimension, the step of verifying the target data set for each of the plurality of dimensions for the target tile chain, further comprising:
based on the target block browser address data, obtaining preset data information in the target block chain, wherein the preset data information comprises at least one of the following: block height information, transaction total amount information, node summary information, transaction information and block out information;
and checking the preset data information based on preset reference information to obtain a checking result of the dimension of the block browser.
6. The method of claim 1, wherein the inspection results comprise inspection results for each of the plurality of dimensions; the detection result of each dimension also carries label information, wherein the label information is used for representing the authenticity information of the target blockchain for the dimension;
the step of generating the discrimination result of the target blockchain according to the inspection result of the target data set includes:
counting the total number of the label information as pseudo information in the checking result of the target data set of each dimension;
and generating a judging result of the target blockchain based on the ratio of the total number to the total number of the dimensions of the plurality of dimensions.
7. The method of claim 1, wherein the test result comprises a test score for each of the plurality of dimensions, each dimension further configured with a weight; the step of generating the discrimination result of the target blockchain according to the inspection result of the target data set includes:
calculating a checking total score according to the checking score of the target data set of each dimension and the weight corresponding to the dimension;
and generating a judging result of the target block chain according to the total checking score and a preset score threshold.
8. The method of claim 1, wherein the step of verifying the target data set for each of the plurality of dimensions for the target blockchain further comprises:
responding to time setting operation of a user, and acquiring inspection time information of the target block chain; wherein the inspection time information includes a start time and an end time;
and checking the target data set of the target blockchain corresponding to each dimension of the plurality of dimensions according to the checking time information.
9. A discriminating apparatus for a blockchain, the apparatus being applied to a discriminating server, the apparatus comprising:
the target data set acquisition module is used for acquiring a target data set of a target block chain to be distinguished, wherein the target data set corresponds to a preset dimension; wherein the preset dimensions include a plurality of dimensions from the following dimensions: source code dimension, node dimension, block browser dimension, white book dimension, money Bao Weidu, community dimension, and public opinion dimension;
a target data set checking module for checking a target data set of the target blockchain corresponding to each of the plurality of dimensions;
the judging result generating module is used for generating judging results of the target blockchain according to the checking results of the target data set, wherein the judging results comprise judging information of whether the target blockchain belongs to a public chain or not;
The target data set includes: the target data set checking module is further configured to execute a node deployment process of the target blockchain based on the target node deployment data, and determine a checking result of the node dimension according to an execution result of the target node deployment data; and/or running the wallet of the target blockchain based on the target wallet data, checking the preset function of the wallet, and determining the checking result of the wallet dimension according to the checking result.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the blockchain discrimination method of any of the preceding claims 1-8.
11. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor performs the steps of the blockchain discrimination method of any of the preceding claims 1-8.
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