CN111199468A - Information processing method and device of block chain network and storage medium - Google Patents
Information processing method and device of block chain network and storage medium Download PDFInfo
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- CN111199468A CN111199468A CN201811382805.1A CN201811382805A CN111199468A CN 111199468 A CN111199468 A CN 111199468A CN 201811382805 A CN201811382805 A CN 201811382805A CN 111199468 A CN111199468 A CN 111199468A
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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Abstract
The embodiment of the invention discloses an information processing method of a block chain network, which comprises the following steps: acquiring a target object, wherein the target object is participant information of an event corresponding to the account book data in the block chain network; acquiring historical association information corresponding to a target object from a blockchain network, and acquiring path information for establishing historical association between a current object and the target object from the blockchain network, wherein the historical association information is account book data stored in the blockchain network, and the path information is data corresponding to an object through which the current object and the target object are established to be associated; and determining the reliability of the target object according to the historical associated information and the path information. The embodiment of the invention also discloses an information processing device and a storage medium.
Description
Technical Field
The present invention relates to information processing technologies in the field of blockchain, and in particular, to an information processing method and apparatus for a blockchain network, and a storage medium.
Background
Credit investigation is the activity of collecting, sorting, storing and processing credit information of natural people, legal people and other organizations according to law, providing services such as credit reports, credit assessment, credit information consultation and the like for the outside, helping clients to judge and control credit risks and performing credit management; the business mode can be divided into two categories of enterprise credit investigation and personal credit investigation. The traditional credit investigation mode is that the authenticity of information is checked manually, the intelligence is low, and the subjectivity of the checking process cannot ensure the authenticity of credit information.
With the rapid development and wide application of big data technology, in the prior art, when credit is assessed, the existing information data is generally analyzed through the big data technology to obtain the credibility of the target object. However, since the authenticity of information data for realizing the credit investigation service cannot be guaranteed, the authenticity of obtaining the reliability of a target object by analyzing existing information data cannot be guaranteed, and thus, the accuracy of the conventional credit investigation service is low.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention are directed to providing an information processing method and apparatus for a block chain network, and a storage medium, which can improve accuracy of credit investigation service.
The technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an information processing method for a block chain network, where the method includes:
acquiring a target object, wherein the target object is participant information of an event corresponding to the account book data in the block chain network;
acquiring historical association information corresponding to the target object from the blockchain network, and acquiring path information for establishing historical association between the current object and the target object from the blockchain network, wherein the historical association information is account book data stored in the blockchain network, and the path information is data corresponding to an object through which the association between the current object and the target object is established;
and determining the credibility of the target object according to the historical associated information and the path information.
In the foregoing solution, the determining the reliability of the target object according to the historical associated information and the path information includes:
determining a first credibility of the target object according to the historical associated information;
determining a second reliability of the target object according to the path information;
and determining the reliability according to the first reliability and the second reliability.
In the foregoing solution, the determining a first reliability of the target object according to the attribute information of the historical associated information includes:
acquiring at least one of the number of associated objects, the association type, the association evaluation information and the association result information of the target object from the block chain network;
and determining the first reliability according to at least one of the number of the associated objects, the association type, the association evaluation information and the association result information, and corresponding weight information.
In the foregoing solution, the determining a second reliability of the target object according to the path information includes:
sorting the path information based on path length;
determining auxiliary target object information from the sequencing result according to a preset rule;
and determining the second credibility according to the auxiliary target object information.
In the above solution, after determining the credibility of the target object, the method further includes:
and when the credibility meets a preset threshold, establishing the association with the target object.
In the above solution, after the association with the target object is established, the method further includes:
acquiring association information corresponding to the association;
and adding the associated information as new account book data to the block chain network.
In the above solution, after determining the credibility of the target object, the method further includes:
and when the credibility does not meet the preset threshold, canceling the association established with the target object.
In the above solution, after determining the credibility of the target object, the method further includes:
and recommending the target object according to the credibility.
In a second aspect, an embodiment of the present invention provides an information processing apparatus, including:
a memory for storing executable instructions;
a communication bus for enabling communication of the memory with a processor;
the processor is configured to execute the executable instructions stored in the memory to implement the information processing method of the blockchain network.
In a third aspect, an embodiment of the present invention provides a storage medium storing executable instructions, which when executed, are configured to cause a processor to execute the information processing method of the blockchain network as described above.
The embodiment of the invention provides an information processing method and device of a block chain network and a storage medium, and the method comprises the steps of firstly, obtaining a target object, wherein the target object is participant information of an event corresponding to account book data in the block chain network; then, acquiring historical association information corresponding to the target object from the blockchain network, and acquiring path information for establishing historical association between the current object and the target object from the blockchain network, wherein the historical association information is account book data stored in the blockchain network, and the path information is data corresponding to the object through which the association between the current object and the target object is established; and finally, determining the reliability of the target object according to the historical association information and the path information. By adopting the technical implementation scheme, the credibility of the target object is obtained according to the historical associated information corresponding to the target object obtained from the block chain network and the path information for establishing the historical association between the current object and the target object obtained from the block chain network, and all the associated information in the block chain network is real, so that the authenticity of the obtained credibility of the target object can be ensured, and the accuracy of credit investigation service is improved.
Drawings
Fig. 1 is a schematic functional architecture diagram of a block chain network according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an organization architecture of a block chain network according to an embodiment of the present invention;
fig. 3 is an alternative structural schematic diagram of a consensus node according to an embodiment of the present invention;
fig. 4 is a flowchart of an implementation of an information processing method of a blockchain network according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating an implementation of an information processing method of a blockchain network according to another embodiment of the present invention;
FIG. 6 is a diagram illustrating an exemplary confidence assessment according to an embodiment of the present invention;
fig. 7 is a flowchart illustrating an exemplary information processing method according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating an exemplary trust application provided by an embodiment of the present invention;
FIG. 9 is a first schematic structural diagram of an information processing apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail with reference to the accompanying drawings, the described embodiments should not be construed as limiting the present invention, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.
Before further detailed description of the embodiments of the present invention, terms and expressions mentioned in the embodiments of the present invention are explained, and the terms and expressions mentioned in the embodiments of the present invention are applied to the following explanations.
1) Transactions (transactions), equivalent to the computer term "Transaction," does not refer solely to transactions in the business context, and embodiments of the present invention follow this convention in view of the convention in blockchain technology that colloquially uses the term "Transaction. In a blockchain network employing an account-based model, transactions include three different transaction types: deployment (deployment), invocation (Invoke) and Query (Query). The deployment transaction is used for installing a specified chain code to a node of the blockchain network, and the call and query type transaction is used for calling the deployed chain code so as to realize the operation on the relevant data of the target account in the account book, wherein the operation comprises the operation of adding, searching and changing to modify the data in the form of Key Value pairs in the account book, or add a new account in the account book.
2) A Block (Block) recording a data structure of the ledger data updated by the exchange within a period of time, marked with a timestamp and a unique mark (e.g. a digital fingerprint) of a previous Block, and after the Block is subjected to consensus verification by nodes in the Block chain network, the Block is appended to the end of the Block chain to become a new Block.
3) A chain of blocks (Blockchain), a chain of data structures in which blocks are assembled in a sequentially contiguous manner, each block having a hash value of a previous block or a subset thereof referenced therein, to cryptographically secure the recorded transaction against tampering and forgery.
4) A blockchain network incorporates new blocks into a set of centerless nodes of the blockchain in a consensus manner.
5) The account book (Legger) is the sum of data recorded by taking an account as a dimension in a block chain network, and comprises the elements of the account book data, the state of the account book, the state certification of the account book, a block index and the like.
6) The ledger data, the actual block data storage, i.e. the record of a series of ordered and non-falsifiable transactions recorded in the block chain, may be expressed in the form of a file system, and the update of the data in the account/account is realized when an intelligent contract called in the transaction is executed.
7) The ledger state, also referred to as state data, i.e. the state of the ledger data, may be in the form of key-value pairs in the database terminal, where the real-time ledger state is used to represent the latest record of key-value pairs updated by the agreed-upon exchange and the historical ledger state is used to represent the historical record of key-value pairs.
8) Presence attestation is attestation of authenticity of presence of the account data implemented in cryptographic manner, such as attestation of the way the account data computes a merkel (Merkle) tree.
9) Consensus (Consensus), a process in a blockchain network, is used to agree on the transaction results among the nodes involved, and the mechanisms for achieving Consensus include Proof of workload (PoW), Proof of rights and interests (PoS, Proof of approval of stamp), Proof of share authorization (DPoS), Proof of Elapsed Time (PoET, Proof of Elapsed Time), and so on.
10) Intelligent Contracts (Smart Contracts), also called chain codes (chaincodes), are deployed in the blockchain network, and trigger the execution of programs according to conditions, and are used for operating the ledger through query, addition and modification so as to realize query or update of the ledger.
11) In response to the condition or state on which the performed operation depends, one or more of the performed operations may be in real-time or may have a set delay when the dependent condition or state is satisfied; there is no restriction on the order of execution of the operations performed unless otherwise specified.
An exemplary functional architecture of a block chain network for implementing the embodiment of the present invention is described below, and referring to fig. 1, fig. 1 is a schematic functional architecture diagram of a block chain network provided in the embodiment of the present invention, which includes an application layer 101, a consensus layer 102, a network layer 103, a data layer 104, and a resource layer 105, which are described below respectively.
The resource layer 105 encapsulates various available computing and storage resources, such as those in computers, servers/clusters, and clouds, abstracts and provides a uniform interface to the data layer 104 to mask the variability of the underlying hardware implementing the resource layer 105.
The computing resources include various forms of processors such as a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), and a Field-Programmable Gate Array (FPGA).
The storage resources include various types of storage media such as various volatile memories and nonvolatile memories. The nonvolatile Memory may be a Read Only Memory (ROM) or a Programmable Read-Only Memory (PROM). Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory.
The computing resources and storage resources of the resource layer 105 may be mapped to various types of nodes in a blockchain network, and the storage medium implementing an embodiment of the present invention stores executable instructions for implementing the blockchain network deployment method of an embodiment of the present invention, and once the executable instructions deployed to the nodes are executed, the underlying resources (e.g., various types of processors) implementing the nodes will implement the deployment of various types of nodes in the blockchain network and perform the functions of the various types of nodes, thereby implementing ledgers for transactions in business processes and various applications based on the ledgers.
By way of example, executable instructions may be written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, in the form of software (including system programs and applications), software modules, scripts, plug-ins, and the like, and may be deployed in any form, including as a stand-alone program or as a module, component, or other unit suitable for use in a computing environment.
Data layer 104 encapsulates various data structures that implement the ledger, including ledger data implemented in a file system, ledger state and presence proofs implemented in a database form.
The consensus layer 102 encapsulates mechanisms for achieving consistency of transaction results propagated in the block chain, including POS, POW, DPOS, etc., and supports pluggable consensus mechanisms.
The application layer 101 encapsulates various services that the blockchain network can implement, including transaction settlement, tracing, and evidence storage.
An exemplary functional architecture of a node in a blockchain network implementing an embodiment of the present invention is described below, referring to fig. 2, fig. 2 is an organization architecture schematic diagram of a blockchain network provided by an embodiment of the present invention, and includes at least two nodes 110, and as an example, only a node 110-1 and a node 110-2 are shown in fig. 2. Blockchain network 100 responds to transactions submitted by terminal 300 from business entities through network 200 to update the ledger or to query the ledger and to display various intermediate or final results at user interface 310 of terminal 300.
In some embodiments, nodes in the blockchain network 100 are classified according to function; taking a block chain network based on a super book as an example, the block chain network can comprise an endorsement node, an accounting node, a sequencing service node and a main node.
An exemplary structure of a node of a blockchain network implementing an embodiment of the present invention is described below, and it is understood that the hardware structure of any type of node in the blockchain network 100 may be implemented according to the hardware structure described below.
Referring to fig. 3, fig. 3 is an optional structural diagram of the node 110 according to an embodiment of the present invention, where the node 110 may be one or more servers, and according to the structure of the node 110, other exemplary structures of the node 110 may be foreseen, so that the structure described herein should not be considered as a limitation, for example, some components described below may be omitted, or components not described below may be added to adapt to special needs of some application scenarios.
The node 110 shown in fig. 3 includes: at least one processor 1101, memory 1104, and at least one network interface 1102. The various components in the node 110 are coupled together by a bus system 1103. It is understood that the bus system 1103 is used to enable communications among the components connected. The bus system 1103 includes a power bus, a control bus, and a status signal bus, in addition to the data bus. For clarity of illustration, however, the various buses are designated as the bus system 1103 in fig. 3.
The memory 1104 may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. The memory 1104 described in connection with the embodiments of the invention is intended to comprise these and any other suitable types of memory.
The Processor 1101 may be an integrated circuit chip having Signal processing capabilities, such as a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like, wherein the general purpose Processor may be a microprocessor or any conventional Processor or the like.
In conjunction with the above, a blockchain network implementing embodiments of the present invention is implemented by providing a series of memories and processors, in which executable instructions are stored, and when the executable instructions are executed by the processors, a consensus node adapted to the role of the business entity is deployed among the machines running the processors and memories, although other types of nodes may also be deployed.
As an example of the block chain deployment method provided by the embodiment of the present invention implemented by combining software and hardware, the block chain deployment method provided by the embodiment of the present invention may be directly embodied as the above-mentioned different forms of software modules executed by the processor 1101, the software modules may be located in a storage medium, the storage medium is located in the memory 1104, the processor 1101 reads executable instructions included in the software modules in the memory 1104, and the functions of the node 110 are completed in combination with necessary hardware (for example, including the processor 1101 and other components connected to the bus system 1103).
Various embodiments of the present invention are proposed based on the above block chain network.
Example one
An embodiment of the present invention provides an information processing method for a blockchain network, and fig. 4 is a flowchart illustrating an implementation of the information processing method for a blockchain network according to the embodiment of the present invention, where as shown in fig. 4, the information processing method for a blockchain network includes:
s101, acquiring a target object, wherein the target object is participant information of an event corresponding to account book data in a block chain network;
in the embodiment of the present invention, when the current object is to be associated with the target object, the current object needs to determine whether to be associated with the target object according to the reliability of the target object, and at this time, the current object inputs the target object into the information processing apparatus, and the information processing apparatus obtains the target object. In addition, the target object can be obtained by receiving information and obtaining the target object from the information; and, the target object may also be obtained by obtaining a preset obtaining rule, which is not specifically limited in this embodiment of the present invention.
It should be noted that an application scenario of the information processing method provided by the embodiment of the present invention is as follows: when two objects are associated, one object determines the credibility of the other object through the information processing device. Here, the existence of a current object is implied, wherein one object is the current object; the target object is the associated target object, and the other object is the target object.
Illustratively, when a first is to be associated with a second through the information processing device, the first needs to determine whether to be associated with the second according to the credibility of the second, wherein the first is a current object, and the second is a target object.
In addition, establishing an association refers to two objects together completing a real event, or achieving some consensus. Here, in the blockchain network, establishing the association refers to generating an event of the ledger data, and the current object and the target object are participant information of the event corresponding to the ledger data in the blockchain network.
S102, obtaining historical associated information corresponding to a target object from the blockchain network, and obtaining path information of historical association between the current object and the target object from the blockchain network, wherein the historical associated information is account book data stored in the blockchain network, and the path information is data corresponding to an object through which the association between the current object and the target object is established.
In the embodiment of the present invention, the block chain network includes a plurality of blocks, and each block stores actual block data, which is also called ledger data; when the current object is associated with the target object through the information processing device, extracting historical association information corresponding to the target object and path information of historical association between the current object and the target object from the book data stored in the blockchain network; according to the characteristics that the data owned by the account book data is not falsifiable, not fadable, publicly transparent and traceable, the historical associated information and the path information are used as evaluation data for determining the credibility of the target object. Here, the historical association refers to an association that has been established.
It should be noted that both the history association information corresponding to the target object and the path information for establishing association between the current object and the target object are account data already existing in the block network, and the path information is data corresponding to an object through which the relationship between the current object and the target object passes. Specifically, the history related information refers to information formed by events in which all target objects participate in the events included in the ledger data; for example, when the target object is b, the historical association information refers to all event information corresponding to associations that have been established with b. The path information refers to a path corresponding to an associated event established between the current object and the target object in the ledger data, that is, a path between the current object and the target object and related to the event; for example, if the current object is a first object, the target object is a second object, the first object and the second object have established a historical related event a, the first object and the third object have established a historical related event B, and the second object and the third object have established a historical related event C, the path information is: establishing a historical associated event A by the first and second users; a and C establish a historical related event B, and B and C establish a historical related event C.
S103, determining the reliability of the target object according to the historical association information and the path information.
In the embodiment of the present invention, the information processing apparatus, when acquiring evaluation data of the reliability of the evaluation target object: and then, the credibility of the target object can be determined according to the historical associated information and the path information.
Here, the credibility means the credibility of one object. The credibility of the target object can be expressed by a specific numerical value, for example, the credibility of the target object B is 70; the credibility of the target object B is secondary credibility; the target object B can also be expressed by proportion, for example, the credibility of the target object B is 70%; the confidence level of the target object may be represented by other manners, which are not specifically limited in this embodiment of the present invention.
The information processing apparatus determines the reliability of the target object comprehensively from both the history related information and the route information. In practical application, the information processing device can realize the evaluation of the reliability of the target object according to at least one of the historical associated information and the path information; that is, the information processing apparatus can evaluate the reliability of the target object based on the history related information alone, and the information processing apparatus can evaluate the reliability of the target object based on the path information alone.
It can be understood that, according to the characteristics of non-falsification, public transparency and traceability of the ledger data in the blockchain network, the information processing apparatus in the embodiment of the present invention uses the ledger data related to the target object as evaluation data for evaluating the reliability of the target object, so that the authenticity of the personal information is improved, and the accuracy of the obtained reliability is improved.
Further, in this embodiment of the present invention, the acquiring, by the information processing apparatus in S102, history association information corresponding to the target object from the blockchain network specifically includes: the information processing apparatus acquires at least one of the number of associated objects, the association type, the association evaluation information, and the association result information of the target object from the blockchain network.
That is to say, the history related information acquired by the information processing apparatus is data stored in a data layer in the blockchain network, and the specific data content may be one of the number of related objects, the type of related objects, the related evaluation information, and the related result information, may be a combination of the number of related objects, the type of related objects, the related evaluation information, and the related result information, may be all of the number of related objects, the type of related objects, the related evaluation information, and the related result information, and may be other information capable of representing the history related information, which is not particularly limited in this embodiment of the present invention.
It should be noted that the number of the associated objects represents the total number of events in the historical association of the target object, for example, if 2, 1, and 3 times of association between the target object b and the target object a, c, and d are respectively established, the number of the associated objects of b is 6; the association type represents the type of the event in the historical association of the target object, for example, the type of the event in the historical association of the target object B and the target object A is that a piece of jade is sold; the associated evaluation information represents the evaluation description of the event in the historical association of the target object, for example, the evaluation description of the event in the historical association of the target object B and the target object A is a quality certified product; the association result information characterizes a profile of events, such as success, failure, etc., in the historical association of the target object.
It can be understood that the more the historical association information of the target object, the more the relationship between the target object and other objects is, the more complex the friend circle structure of the target object is, and thus the higher the credibility of the target object is.
Further, in the embodiment of the present invention, the information processing apparatus in S103 determines the reliability of the target object according to the history association information and the path information, and specifically includes S103a-S103c, where:
s103, 103a, according to the historical association information, determining first reliability of the target object.
In the embodiment of the invention, after the information processing device obtains the evaluation data of the credibility, because the evaluation data contains two contents of history related information and path information, the information processing device performs independent analysis on each evaluation data to obtain the credibility of the corresponding target object. The information processing device analyzes the history related information and determines a first reliability of the target object.
The first reliability is the reliability of the target object that is estimated by the information processing device only from the history related information.
Further, when the information processing apparatus acquires historical associated information corresponding to the target object from the blockchain network, that is, at least one of the number of associated objects, the association type, the association evaluation information, and the association result information of the target object from the blockchain network, the information processing apparatus in S103a determines a first reliability of the target object according to the attribute information of the historical associated information, specifically, the information processing apparatus acquires at least one of the number of associated objects, the association type, the association evaluation information, and the association result information of the target object from the historical associated information; and determining the first reliability according to at least one of the number of the associated objects, the association type, the association evaluation information and the association result information, and the corresponding weight information.
That is to say, the historical association information includes at least one attribute tag, and the attribute tag and the corresponding value are the number of association objects, the association type, the association evaluation information and the association result information, where different attribute tags correspond to different weights. After the information processing device obtains at least one attribute label and the corresponding value, the first reliability of the target object can be calculated by combining the weight of each attribute label. In addition, the specific information processing apparatus determines the first reliability of the target object by combining the corresponding weight according to the attribute tag and the corresponding value, and the first reliability can be obtained by a calculation method in the prior art, and the embodiment of the present invention is not described herein again.
It can be understood that, in the embodiment of the present invention, the information processing apparatus determines the first reliability of the target object according to the attribute tags and the corresponding values corresponding to the obtained historical related information and according to the weight of each attribute tag, thereby ensuring the feasibility of determining the reliability of the target object according to the historical related information.
S103b, determining the second reliability of the target object according to the path information.
In the embodiment of the present invention, the information processing apparatus performs individual analysis on each evaluation data (history association information and path information) to obtain the reliability of the corresponding target object. The information processing device analyzes the path information and determines a second reliability of the target object.
The second reliability is the reliability of the target object that the information processing apparatus evaluates from only the route information.
Further, in S103b, the information processing apparatus according to the embodiment of the present invention determines, based on the path information, that the second reliability of the target object is specifically: the information processing apparatus sorts the path information based on the path length; determining auxiliary target object information from the sequencing result according to a preset rule; and determining a second confidence level according to the auxiliary target object information.
It should be noted that the path length represents the distance between the current object and the target object; for example, if the current object A is associated with the object C and the credibility of the object C is known, and the object C is associated with the target object B and the credibility of the object B is known, the path length between the object A and the object B is 2. The ordering may be a positive order or a reverse order, which is not specifically limited in the embodiment of the present invention, but preferably, path information with a shorter path length is selected according to an ordering result, and auxiliary target object information is determined from the path information. The auxiliary target object information represents an object existing between the current object and the target object, the reliability of the current object to the object and the reliability of the object to the target object; after the information processing device acquires the auxiliary target object information, a second reliability of the target object can be determined according to the auxiliary target object information; for example, if the object between the current object A and the target object B is C, the confidence level of A is determined to be 90, and the confidence level of C is determined to be 80, then A may determine that B has a second confidence level of 70. In addition, the specific information processing apparatus determines the second reliability of the target object according to the auxiliary target object information by using a calculation method in the prior art, and the embodiment of the present invention is not described herein again.
It can be understood that, in the embodiment of the present invention, the information processing apparatus evaluates the second reliability of the target object by using the path information between the current object and the target object, on one hand, data resources in the block chain network are reasonably utilized, and on the other hand, the accuracy of evaluating the reliability of the target object is improved.
It should be further noted that S103a and S103b are processes for determining the corresponding credibility of the target object according to different evaluation data, and therefore, S103a and S103b are not limited in the execution sequence. That is, S103a and S103b may be executed simultaneously, S103a may be executed before S103b, S103b may be executed before S103a, S103a and S103b may be executed alternately, and the like, which is not particularly limited in the embodiment of the present invention.
S103, determining the reliability according to the first reliability and the second reliability 103 c.
In the embodiment of the present invention, after obtaining the first reliability and the second reliability of the corresponding target object from the history related information and the path information, the information processing apparatus can determine the reliability of the target object by integrating the first reliability and the second reliability.
In addition, only either one of the first reliability and the second reliability can be used as the reliability of the target object, and the first reliability and the second reliability are combined to determine the reliability of the target object from a more comprehensive viewpoint. When the information processing device determines the reliability of the target object from the first reliability and the second reliability, the information processing device may average the first reliability and the second reliability, and, for example, when the first reliability is 80 and the second reliability is 90, the information processing device may determine that the reliability is (80+90)/2, that is, the reliability is 85; or according to the summation of different proportions corresponding to the first credibility and the second credibility, the proportion of the first credibility is regulated to be 60 percent, the proportion of the second credibility is regulated to be 40 percent, when the first credibility is 80 and the second credibility is 90, the credibility is determined to be 80 x 60 percent +90 x 40 percent, namely the credibility is 84; and the like, which are not particularly limited by the embodiments of the present invention.
It can be understood that, in the embodiment of the present invention, the information processing apparatus determines the corresponding first confidence level and second confidence level according to the history association information and the path information, and then determines the confidence level of the target object comprehensively according to the first confidence level and the second confidence level, so that the accuracy of evaluating the confidence level of the target object is improved.
Further, fig. 5 is a flowchart of an implementation of an information processing method of another blockchain network according to an embodiment of the present invention, as shown in fig. 5, in the embodiment of the present invention, after the information processing apparatus determines the credibility of the target object according to the history association information and the path information in S103, the information processing method further includes S104 to S106, where:
and S104, when the credibility meets a preset threshold, establishing association with the target object.
In the embodiment of the invention, a preset threshold value of the credibility is set in the information processing device, after the credibility of the target object is determined by the information processing device, the credibility is compared with the preset threshold value, and when the credibility meets the preset threshold value, the current object is associated with the target object through the information processing device.
It should be noted that the preset threshold represents condition information for establishing association between the current object and the target object, and only when the reliability of the target object meets the preset threshold, the current object is associated with the target object. And when the current object is associated with the target object, the current object is established after the result of the association is agreed by a consensus layer in the block chain network.
In addition, when the information processing apparatus compares the reliability of the target object with a preset threshold, there is another comparison result: the reliability does not meet a preset threshold; when the reliability does not satisfy the preset threshold, the information processing apparatus cancels the establishment of the association with the target object.
And S105, acquiring the associated information corresponding to the association.
In the embodiment of the present invention, after the information processing apparatus establishes the association between the current object and the target object, the information processing apparatus can acquire the association information of the associated object. Here, the associated information is at least one of an associated object, an associated type, associated evaluation information, and associated result information, and the associated object is an event participant corresponding to the generated account data, that is, a current object and a target object in the embodiment of the present invention.
And S106, adding the related information as new account book data to the block chain network.
In the embodiment of the present invention, the association established in the blockchain network needs to perform data uplink, and therefore, after the current association information acquired by the information processing apparatus is added to the blockchain network as new account book data, specifically, the association information is added to the data layer of the blockchain network as new account book data, so as to complete the data uplink operation.
It can be understood that, on one hand, due to the characteristics of non-tampering and non-deletion of uplink data, each object is taken as an individual, and in order to maintain high reliability of itself, information corresponding to self-established association must be constrained, so that the risk of information counterfeiting is reduced, and the probability of counterfeiting is reduced; and the related information is public and transparent, and all objects in the block chain network are supervised to achieve an internal virtuous circle, so that the reliability of all objects in the block chain network is effectively improved. On the other hand, the information processing device determines the reliability of the target object by using data in the block chain network of which the authenticity can be guaranteed, without the assistance of external big data or the information check by manpower, so that the evaluation cost is reduced, and the judgment distortion of the reliability caused by human errors can be avoided. On the other hand, through continuous data chaining, the quality is guaranteed, and meanwhile, the probability of generating the intelligent contract is improved.
Exemplarily, fig. 6 is a schematic diagram illustrating an exemplary reliability evaluation according to an embodiment of the present invention, as shown in fig. 6, a current object to be associated with a target object, an information processing apparatus obtains evaluation data events 2 and the like (historical association information) from a block of a blockchain network, where the number of events such as the events 2 is the number of associated objects, a contract body includes an association type, and a result is association result information; the information processing device determines a first reliability of the device from the event 2 and the like. The information processing device acquires a path (path information) associated between A and D from a block of the blockchain network, and analyzes the path information to determine a second reliability of D. Finally, the information processing device determines the credibility of the target object D to be 60 according to the first credibility and the second credibility. Similarly, when the current object D wants to be associated with the target object A, the information processing device determines a first reliability of the A by the event 1 and the like (history associated information), determines a second reliability of the A by the associated path (path information) between the D and the A, and further determines the reliability of the A to be 80 by integrating the first reliability and the second reliability. After the mutual credibility evaluation between the first and the second, for example, for the first, the information processing apparatus determines to establish an association with the second according to a preset threshold, generates an event 3, and adds the event 3 to the blockchain network, thereby completing the data uplink.
In addition, it should be further noted that fig. 7 is a schematic flowchart of an exemplary information processing method according to an embodiment of the present invention, as shown in fig. 7, an information processing flow starts, where a terminal (information processing apparatus) acquires history related information and path information from a data layer of a blockchain network through a network, that is, in fig. 3, the terminal 300 acquires data information from a data layer 104 of a blockchain network 100 through a network 200; the terminal determines the reliability of the target object according to the historical association information and the path information, and displays the reliability on a user interface 310 of the terminal 300; the terminal establishes association with the target object by utilizing a consensus mechanism of a consensus layer according to the credibility; the terminal adds the associated information corresponding to the association to a data layer of the block chain network; the information processing flow ends.
Further, in the embodiment of the present invention, after the information processing apparatus determines the reliability of the target object according to the history association information and the path information in S103, the information processing method further includes S107, specifically:
and S107, recommending the target object according to the reliability.
In the embodiment of the present invention, after obtaining the reliability of the target object, the information processing apparatus can perform processing in the recommendation field on the target object.
It should be noted that, after obtaining the reliability of the target object, the information processing apparatus performs two processing modes on the target object according to the reliability, one is described in S104, and the other is described in S107.
Exemplarily, fig. 8 is an exemplary reliability application schematic diagram provided by an embodiment of the present invention, and as shown in fig. 8, all objects in the industry a platform are used as target objects to perform corresponding reliability evaluation by the information processing device, so as to obtain corresponding reliabilities of all objects; preferably, the confidence level corresponds to a type, that is, the confidence level of the same object may be different in different types, for example, type 1 corresponds to confidence level 1, type 2 corresponds to confidence level 2, and so on; when the platform receives the association establishing instruction, namely an event is about to occur between the platform and at least one object in the platform, at the moment, the platform can obtain an association type from the association establishing instruction, a corresponding object with the reliability meeting a preset rule is searched in the corresponding type and the reliability according to the association type, and the object is used as a recommended object.
It can be understood that applying the credibility of the target object to the recommendation field provides a conditional basis for the recommendation process in the system.
It can also be understood that, since the credibility of the target object is obtained according to the historical association information corresponding to the target object obtained from the blockchain network and the path information for establishing the historical association between the current object and the target object obtained from the blockchain network, and all the association information in the blockchain network is real, the authenticity of the obtained credibility of the target object can be ensured, thereby improving the accuracy of the credit investigation service.
Example two
Based on an embodiment and a similar inventive concept, an embodiment of the present invention provides an information processing apparatus 400 corresponding to an information processing method of a block chain network, wherein the information processing apparatus is a specific apparatus of the terminal 300 in fig. 3, fig. 9 is a schematic structural diagram of an information processing device according to an embodiment of the present invention, as shown in fig. 9, the information processing apparatus 400 includes:
a first obtaining unit 401, configured to obtain a target object, where the target object is participant information of an event corresponding to ledger data in the blockchain network;
a second obtaining unit 402, configured to obtain historical association information corresponding to the target object from the blockchain network, and obtain path information of historical association between the current object and the target object from the blockchain network, where the historical association information is ledger data stored in the blockchain network, and the path information is data corresponding to an object through which the current object and the target object are associated;
a determining unit 403, configured to determine, according to the history association information and the path information, a reliability of the target object.
Further, the determining unit 403 is specifically configured to determine, according to the historical association information, a first reliability of the target object; determining a second credibility of the target object according to the path information; and determining the reliability according to the first reliability and the second reliability.
Further, the determining unit 403 is specifically configured to acquire at least one of the number of associated objects, the association type, the association evaluation information, and the association result information of the target object from the blockchain network; and determining the first reliability according to at least one of the number of the associated objects, the association type, the association evaluation information and the association result information, and corresponding weight information.
Further, the determining unit 403 is specifically configured to rank the path information based on the path length; determining auxiliary target object information from the sequencing result according to a preset rule; and determining the second reliability according to the auxiliary target object information.
Further, the information processing apparatus 400 further includes an association unit 404, where the association unit 404 is configured to establish the association with the target object when the confidence level meets a preset threshold.
Further, the information processing apparatus 400 further includes an adding unit 405, where the adding unit 405 is configured to obtain association information corresponding to the association; and adding the associated information as new ledger data to the blockchain network.
Further, the information processing apparatus 400 further includes a canceling unit 406, and the canceling unit 406 is configured to cancel the association with the target object when the reliability does not satisfy the preset threshold.
Further, the information processing apparatus 400 further includes a recommending unit 407, where the recommending unit 407 is configured to perform recommendation processing on the target object according to the reliability.
In practical applications, the first obtaining Unit 401, the second obtaining Unit 402, the determining Unit 403, the associating Unit 404, the adding Unit 405, the canceling Unit 406, and the recommending Unit 407 may be implemented by a processor 408 located on the information Processing apparatus 400, specifically, a CPU (Central Processing Unit), an MPU (Microprocessor Unit), a DSP (Digital Signal Processing, Digital Signal processor), a Field Programmable Gate Array (FPGA), or the like.
An embodiment of the present invention further provides an information processing apparatus 400, as shown in fig. 10, where the information processing apparatus 400 includes: a processor 408, a memory 409 and a communication bus 410, wherein the memory 409 communicates with the processor 408 through the communication bus 410, and the memory 409 stores instructions executable by the processor 408, and when the instructions are executed, the information processing method of the blockchain network according to the first embodiment is executed by the processor 408.
The embodiment of the present invention provides a computer-readable storage medium, which stores executable instructions, and when the executable instructions are executed, the executable instructions are configured to cause the processor 408 to execute the information processing method of the blockchain network according to the first embodiment.
It can be understood that, since the credibility of the target object is obtained according to the historical association information corresponding to the target object obtained from the blockchain network and the path information for establishing the historical association between the current object and the target object obtained from the blockchain network, and all the association information in the blockchain network is real, the authenticity of the obtained credibility of the target object can be ensured, thereby improving the accuracy of the credit investigation service.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. An information processing method of a blockchain network, the method comprising:
acquiring a target object, wherein the target object is participant information of an event corresponding to the account book data in the block chain network;
acquiring historical associated information corresponding to the target object from the blockchain network, and acquiring path information of the current object and the target object from the blockchain network, wherein the historical associated information is account book data stored in the blockchain network, and the path information is data corresponding to an object through which the current object and the target object are associated;
and determining the credibility of the target object according to the historical associated information and the path information.
2. The method of claim 1, wherein determining the trustworthiness of the target object according to the historical association information and the path information comprises:
determining a first credibility of the target object according to the historical associated information;
determining a second reliability of the target object according to the path information;
and determining the reliability according to the first reliability and the second reliability.
3. The method of claim 2, wherein determining a first confidence level of the target object according to the attribute information of the historical association information comprises:
acquiring at least one of the number of associated objects, the association type, the association evaluation information and the association result information of the target object from the historical association information;
and determining the first reliability according to at least one of the number of the associated objects, the association type, the association evaluation information and the association result information, and corresponding weight information.
4. The method of claim 2, wherein said determining a second confidence level for the target object based on the path information comprises:
sorting the path information based on path length;
determining auxiliary target object information from the sequencing result according to a preset rule;
and determining the second credibility according to the auxiliary target object information.
5. The method of any of claims 1-4, wherein after determining the trustworthiness of the target object, the method further comprises:
and when the credibility meets a preset threshold, establishing association with the target object.
6. The method of claim 5, wherein after the association with the target object is established, the method further comprises:
acquiring association information corresponding to the association;
and adding the associated information as new account book data to the block chain network.
7. The method of any of claims 1-4, wherein after determining the trustworthiness of the target object, the method further comprises:
and when the credibility does not meet the preset threshold value, canceling the association established with the target object.
8. The method of any of claims 1-4, wherein after determining the trustworthiness of the target object, the method further comprises:
and recommending the target object according to the credibility.
9. An information processing apparatus characterized in that the apparatus comprises:
a memory for storing executable instructions;
a communication bus for enabling communication of the memory with a processor;
the processor is used for executing the executable instructions stored in the memory to realize the information processing method of the block chain network according to any one of claims 1 to 8.
10. A storage medium storing executable instructions for causing a processor to perform the information processing method of a blockchain network according to any one of claims 1 to 8 when the executable instructions are executed.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111966749A (en) * | 2020-08-04 | 2020-11-20 | 中国科学院上海微系统与信息技术研究所 | Data processing method and device, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945258A (en) * | 2012-10-18 | 2013-02-27 | 北京淘友天下科技发展有限公司 | Method and system for obtaining reliability of users in social networking services |
| CN108596766A (en) * | 2018-04-28 | 2018-09-28 | 深圳市优学链科技有限公司 | Block chain credit rating method, apparatus, computer equipment and storage medium |
| CN108710685A (en) * | 2018-05-21 | 2018-10-26 | 中国联合网络通信集团有限公司 | The determination method and device of target object confidence level |
-
2018
- 2018-11-20 CN CN201811382805.1A patent/CN111199468A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945258A (en) * | 2012-10-18 | 2013-02-27 | 北京淘友天下科技发展有限公司 | Method and system for obtaining reliability of users in social networking services |
| CN108596766A (en) * | 2018-04-28 | 2018-09-28 | 深圳市优学链科技有限公司 | Block chain credit rating method, apparatus, computer equipment and storage medium |
| CN108710685A (en) * | 2018-05-21 | 2018-10-26 | 中国联合网络通信集团有限公司 | The determination method and device of target object confidence level |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111966749A (en) * | 2020-08-04 | 2020-11-20 | 中国科学院上海微系统与信息技术研究所 | Data processing method and device, electronic equipment and storage medium |
| CN111966749B (en) * | 2020-08-04 | 2021-08-17 | 中国科学院上海微系统与信息技术研究所 | Data processing method and device, electronic equipment and storage medium |
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