CN112702410A - Evaluation system and method based on block chain network and related equipment - Google Patents
Evaluation system and method based on block chain network and related equipment Download PDFInfo
- Publication number
- CN112702410A CN112702410A CN202011514640.6A CN202011514640A CN112702410A CN 112702410 A CN112702410 A CN 112702410A CN 202011514640 A CN202011514640 A CN 202011514640A CN 112702410 A CN112702410 A CN 112702410A
- Authority
- CN
- China
- Prior art keywords
- data
- evaluation
- target object
- target
- verification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 280
- 238000000034 method Methods 0.000 title claims abstract description 71
- 238000012795 verification Methods 0.000 claims abstract description 60
- 238000013524 data verification Methods 0.000 claims description 66
- 238000004590 computer program Methods 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 description 13
- 238000004422 calculation algorithm Methods 0.000 description 10
- 239000011159 matrix material Substances 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 230000000717 retained effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000008685 targeting Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3247—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application discloses an evaluation system, method and related equipment based on a block chain network, which can be applied to a medical platform, in particular to group risk evaluation, wherein the method comprises the following steps: receiving a data acquisition request sent by an evaluation platform, wherein the data acquisition request carries identification information of a target object and a digital signature of the evaluation platform; verifying the evaluation platform according to the digital signature; and if the verification is passed, acquiring prestored target data corresponding to the target object from the block chain according to the identification information of the target object, and returning the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By adopting the mode, the anti-tampering technical characteristic of the block chain storage can be combined, the data tampering is prevented, the data safety and reliability are improved, and the reliability and the accuracy of the evaluation result are improved.
Description
Technical Field
The present application relates to the field of block storage system technologies, and in particular, to an evaluation system and method based on a blockchain network, and a related device.
Background
With the rapid development of the internet technology, a user can query a large amount of consultation information from a webpage or a network database before making a behavior decision, evaluate the object of the behavior decision according to the consultation information, and adjust the behavior decision according to the evaluation result. For example, a job seeker or investor of a business typically needs to query or obtain consulting information about the business to understand the development or business status of the business so that the business seeker or investor can make specific decisions about job hunting or investment. However, since the internet information is not uniform and the data is at risk of being tampered by lawless persons, the reliability and accuracy of the evaluation result are reduced by adopting the evaluation method due to the fact that the data is not safe enough and is easy to be tampered.
Therefore, how to provide a data safety and reliable evaluation method to improve the reliability and accuracy of the evaluation result is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides an evaluation method and device based on a block chain network, node equipment and a storage medium, and improves the safety and reliability of data, so that the reliability and accuracy of an evaluation result are improved.
In a first aspect, an embodiment of the present application provides an evaluation system based on a blockchain network, where the evaluation system based on a blockchain network includes an evaluation platform that evaluates a target object, a user terminal device that is used to receive an evaluation result corresponding to the target object, and a node device in the blockchain network, where:
the user terminal device is used for sending an evaluation request aiming at the target object to the evaluation platform and receiving an evaluation result sent by the evaluation platform after the evaluation aiming at the target object;
the evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, evaluating the target object according to an AHP (advanced high-performance analysis) method, a Z-value model method and the target data, and sending an evaluation result of the target object to the user terminal equipment;
and the node equipment is used for receiving the data acquisition request, acquiring pre-stored target data corresponding to the target object from a block chain according to the data acquisition request, and sending the target data to the evaluation platform.
In a second aspect, an embodiment of the present application provides a method for evaluation based on a blockchain network, where the method is performed by a node device in the blockchain network in an evaluation system based on the blockchain network, the evaluation system based on the blockchain network further includes an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, and the method includes:
receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform;
verifying the evaluation platform according to the digital signature;
and if the verification is passed, acquiring prestored target data corresponding to the target object from a block chain according to the identification information of the target object, and returning the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In a third aspect, an embodiment of the present application provides an evaluation apparatus based on a blockchain network, where the apparatus is deployed in a node device in an evaluation system based on a blockchain network, and is configured to perform an evaluation on a target object, and a user terminal device configured to receive an evaluation result corresponding to the target object, where the evaluation apparatus based on a blockchain network includes:
an obtaining module, configured to receive a data obtaining request sent by the evaluation platform, where the data obtaining request carries identification information of the target object and a digital signature of the evaluation platform;
the processing module is used for verifying the evaluation platform according to the digital signature;
the obtaining module is further configured to obtain target data corresponding to the target object from a block chain according to the identification information of the target object if the verification is passed;
and the output module is used for sending the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In a fourth aspect, an embodiment of the present application provides a node device, including a processor, a storage device, and a communication interface, where the processor, the storage device, and the communication interface are connected to each other, where the storage device is used to store a computer program that supports a terminal to execute the above method, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method according to the second aspect.
In a fifth aspect, the present application provides a computer storage medium, in which program instructions are stored, and when the program instructions are called to execute, the method according to the second aspect is implemented.
In the embodiment of the application, the node device may receive a data acquisition request sent by the evaluation platform, where the data acquisition request carries identification information of a target object and a digital signature of the evaluation platform, and further, the node device verifies the evaluation platform according to the digital signature, and if the verification passes, the node device acquires target data corresponding to the target object from the block chain according to the identification information of the target object and returns the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By the evaluation method combined with the blockchain network, the safety and reliability of the evaluation data can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an evaluation system based on a blockchain network according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of another evaluation system based on a blockchain network according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of another evaluation system based on a blockchain network according to an embodiment of the present application;
fig. 4 is a schematic flowchart of an evaluation method based on a blockchain network according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an evaluation apparatus based on a blockchain network according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a node device according to an embodiment of the present application.
Detailed Description
Referring to fig. 1, an embodiment of the present application provides an evaluation system based on a blockchain network, where the evaluation system based on a blockchain network includes an evaluation platform for evaluating a target object, a user terminal device for receiving an evaluation result of the target object, and a node device in the blockchain network. The evaluation platform may be a server, and the server may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers. The terminal device corresponding to the user terminal device includes, but is not limited to, a mobile phone, a laptop, a desktop, an intelligent mobile terminal, a vehicle-mounted terminal, and the like.
And the user terminal equipment is used for sending an evaluation request aiming at the target object to the evaluation platform and receiving an evaluation result sent by the evaluation platform after the evaluation of the target object.
The evaluation request carries identification information of the target object, where the identification information may refer to description information for uniquely identifying the target object, and the description information may be, for example, information set in an XX enterprise.
It can be understood that the evaluation system based on the blockchain network provided in the embodiment of the present application may be applied to any field that needs to be evaluated, for example, job seekers evaluate industry development potential or market prospect of an enterprise, investors or stakeholders evaluate growth capacity of the enterprise, parents evaluate teachers and resources in schools, or medical and health staff evaluate group risks, and the like. Based on this, the target object of the above-mentioned evaluation may be an evaluation organization or an individual to be evaluated, such as a dining establishment, a school, and the like. The user terminal device may be a terminal device corresponding to a person or an organization that needs to obtain the evaluation result.
And the evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, evaluating the target object according to an AHP (advanced high-performance analysis) method, a Z-value model method and the target data, and sending an evaluation result of the target object to the user terminal equipment.
The evaluation platform sends a data acquisition request (that is, the data acquisition request carries the identification information) to the node device according to the identification information of the target object carried in the received evaluation request, further receives target data corresponding to the target object returned by the node device according to the identification information, evaluates the target object according to an AHP (advanced high performance analysis), a Z-value model and the target data, and sends an evaluation result of the target object to the user terminal device.
It should be understood that the AHP analytic hierarchy process is a decision-making method that decomposes elements always related to a target decision-making task into a hierarchy of targets, criteria, schemes, etc., and performs qualitative and quantitative analysis on the basis of the hierarchy. Taking enterprise growth ability evaluation as an example, namely, evaluating the enterprise growth ability as a target decision task and targeting the enterprise growth ability. Further, the total asset growth rate, the fixed asset growth rate, the sales revenue growth rate, the profit growth rate and the scientific research investment of the enterprise related to the growth capacity of the enterprise can be determined as criteria according to the AHP analytic hierarchy process, and each criterion corresponds to a specific quantization scheme and a corresponding weight parameter. Furthermore, the numerical values corresponding to the various criteria can be obtained according to the specific quantification schemes corresponding to the various criteria, and the numerical values corresponding to the growth capacity of the enterprise can be obtained according to the numerical values corresponding to the various criteria and the weight parameters corresponding to the various criteria. The weight parameters are preset weight parameters after consistency verification is passed, and the preset weight parameters are obtained by developers or experts in the field according to the experimental field and the scene and can be correspondingly adjusted according to the specific application scene or the specific application field.
Illustratively, the target data corresponding to the target object is enterprise financial data including a total asset growth rate, a fixed asset growth rate, a sales revenue growth rate, a profit growth rate, and a scientific research investment for the enterprise. In this case, the target determined by the evaluation platform according to the AHP analytic hierarchy process is an enterprise growth capacity evaluation value, the calculation criterion corresponding to the target is that the first evaluation result corresponds to a first weight value, the second evaluation result corresponds to a second weight value, and the preset weight parameters corresponding to the criteria in sequence are 5, 3, 9, 7 and 1. And (3) carrying out consistency verification on the preset weight parameters, namely constructing a judgment matrix according to the preset weight parameters of 5, 3, 9, 7 and 1 as follows:
and calculating a consistency index value CI according to the judgment matrix, wherein the calculation formula is shown as formula (1):
wherein, λ is the maximum characteristic root of the judgment matrix, and n is the order of the judgment matrix. Further, a consistency verification coefficient CR may be calculated according to the consistency index value CI, and a calculation formula of CR is shown in formula (2):
wherein RI is a random consistency index, and RI varies with the rank n of the determination matrix, which can be specifically shown in table 1:
TABLE 1
If the evaluation platform calculates and obtains a consistency verification coefficient CR smaller than 0.1 according to the judgment matrix, the judgment matrix is confirmed to pass consistency verification, and each preset weight parameter is standardized to obtain 5/25 corresponding to the total asset growth rate, 3/25 corresponding to the fixed asset growth rate, 9/25 corresponding to the sales income growth rate, 7/25 corresponding to the profit growth rate, and 1/25 corresponding to the scientific research investment. Namely, an AHP analytic hierarchy process is used to obtain an estimated value of an enterprise growth ability model as a y value, and a calculation method of the y value is shown as a formula (3):
y＝0.2X1+0.12X2+0.36X3+0.28X4+0.04X5 (3)
wherein, X1For total asset growth rate of an enterprise, X2For fixed asset growth rate, X3For sales revenue growth rate, X4For profit growth rate, X5The investment is in proportion to scientific research.
The Z value model method (also called Z value analysis method) is a method for measuring the bankruptcy risk of an enterprise, the Z value is related to the type of the enterprise, and when the target object is a listed enterprise, the Z value obtained by using the Z value model method is the Z value in the formula (4)1Shown in the figure:
Z1＝0.012X1+0.014X2+0.033X3+0.006X4+0.999X5 (4)
wherein, X1Ratio of operating capital to total assets of an enterprise, X2Cumulative retained revenue to Total assets for the Enterprise, X3Profit before tax charge for enterpriseRatio to total assets of the enterprise, X4Is the ratio of the market value of the equity of the enterprise shareholders to the total liability of the enterprise, X5Is the ratio of sales revenue to total assets of the enterprise.
When the target object is a non-marketing enterprise, the Z value obtained by using the Z value model method is the Z value in the formula (5)2Shown in the figure:
Z2＝0.717X1+0.847X2+3.107X3+0.420X4+0.998X5 (5)
wherein, X1Ratio of operating capital to total assets of an enterprise, X2Cumulative retained revenue to Total assets for the Enterprise, X3The ratio of the profit before tax charge to the total assets of the enterprise, X4Is the ratio of the total value of the business account to the total liability of the business, X5Is the ratio of sales revenue to total assets of the enterprise.
In a feasible implementation method, after receiving target data corresponding to a target object returned by node equipment, an evaluation platform obtains a first evaluation result according to an AHP analytic hierarchy process and the target data, obtains a second evaluation result according to a Z value model method, and obtains an evaluation result of the target object according to the first evaluation result and the second evaluation result. Optionally, the evaluation platform may perform weighted summation on the first evaluation result and the second evaluation result to obtain an evaluation result of the target object, in other words, the first evaluation result corresponds to a first weight value, the second evaluation result corresponds to a second weight value, and the evaluation platform performs weighted summation on the first evaluation result and the second evaluation result according to the first weight value and the second weight value to obtain the evaluation result of the target object. The first weight value and the second weight value are measured and calculated by developers according to an experimental application scene, and can be adjusted correspondingly according to a specific application scene subsequently, without specific limitation.
And the node equipment is used for receiving the data acquisition request, acquiring target data corresponding to a target object stored in advance from the block chain according to the data acquisition request, and returning the target data to the evaluation platform.
The node equipment receives a data acquisition request sent by a data evaluation platform, acquires target data corresponding to a pre-stored target object corresponding to identification information from a block chain according to the identification information of the target object carried in the data acquisition request, and returns the target data to the evaluation platform. The target data corresponding to the pre-stored target object is target data which is pre-stored by a developer or an evaluation platform manager and comprises at least one object, and the target data takes identification information of each object as an index, that is, the target data of the target object corresponding to the identification information can be acquired through the identification information.
In the system provided in the embodiment of the present application, the user terminal device sends an evaluation request for a target object to an evaluation platform, where the evaluation request carries identification information of the target object. And the evaluation platform sends a data acquisition request to the node equipment after receiving the evaluation request, wherein the data acquisition request carries the identification information of the target object. And after receiving the data acquisition request, the node equipment acquires target data corresponding to a target object stored in advance from the block chain according to the identification information and returns the target data to the evaluation platform. Further, the evaluation platform can evaluate the target object according to the AHP analytic hierarchy process, the Z value model process and the target data to obtain an evaluation result, and send the evaluation result to the user terminal device.
Therefore, by implementing the method, the data safety and reliability evaluation method can be provided by combining the anti-tampering technical characteristics of the block chain storage, and the reliability and the accuracy of the evaluation result can be improved.
Referring to fig. 2, on the basis of fig. 1, the evaluation system based on the blockchain network further includes a data acquisition device, where the data acquisition device may be a server, and the server may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers. Wherein:
and the data acquisition equipment is used for acquiring target data corresponding to the target object and sending a data storage request carrying the target data to the node equipment. In this case, the node device is further configured to verify the target data according to the received data storage request, and store the target data in the block chain if the verification is passed.
In a specific implementation, the data acquisition device may be a terminal device corresponding to a target object, in which case the data acquisition device may periodically acquire target data corresponding to the target object, and taking enterprise growth capability assessment as an example, if the target object is an enterprise to be assessed, the data acquisition device may be an enterprise terminal device, specifically, the enterprise terminal device may periodically acquire target data of the target object (the enterprise to be assessed) according to a preset duration (for example, 1 month), and send the target data to the node device, where the target data also needs to carry a digital signature of the data acquisition device. And after the node equipment passes the verification of the digital signature, storing the target data in the block chain. The preset duration is obtained by the developer according to the measurement and calculation of the experimental environment, and the corresponding adjustment can be subsequently carried out according to the specific application scene, which is not specifically limited.
By the implementation of the method, the target data can be periodically acquired by the data acquisition equipment, and the target data is timely updated, so that the timeliness of the data is guaranteed.
Referring to fig. 3, on the basis of fig. 1 and fig. 2, the above evaluation system based on the blockchain network further includes a data verification device, where the data verification device may be a server, and the server may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers. Wherein:
and the data verification device is used for receiving a data verification request which is sent by the node device and aims at the target data corresponding to the target object, verifying the target data and sending a data verification result of the target data to the node device. In this case, the node device is further configured to send a data verification request for the target data to the data verification device after receiving a data storage request for the target data corresponding to the target object, receive a data verification result for the target data from the data verification device, and store the target data in the block chain if the data verification result is a pass.
The data verification device may be the node device, or may be a server device existing independently of the blockchain network. For example, taking the target data as the financial data of the enterprise as an example, the data verification device may be a tax office terminal device, the tax office terminal device verifies the target data according to the tax information of the enterprise to verify whether the target data is the real data, and if the tax office terminal device verifies the target data as the real data according to the tax information of the enterprise (that is, the verification is passed), the data verification device sends a data verification result (real data) of the target data to the node device. After receiving the data verification result, the node device stores the target data to the block chain. In this case, the data terminal device may be a node device in the blockchain network or may be a device independent of the blockchain network.
By the implementation of the application, the target data stored on the block chain can be stored on the block chain after the target data is verified to be the real data, so that the authenticity of the data is ensured, the technical characteristics of tamper resistance of the block chain are utilized, and the safety and reliability (trueness) of the data are improved.
The present application provides an evaluation method based on a blockchain network, which can be executed by a node device in the evaluation system based on the blockchain network, and the evaluation system based on the blockchain network further includes an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, please refer to fig. 4, and the method in the embodiment of the present application includes the following steps.
S401: and receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform.
The identification information is used to indicate a unique target object (i.e., an object to be evaluated), such as a name, a code number, etc. of the target object. The digital signature is a signature which is carried out by the evaluation platform by utilizing a private key of the evaluation platform.
It should be understood that, the node device of the blockchain network first adopts an asymmetric cryptographic algorithm to create a key pair for a device (such as the aforementioned evaluation platform and data acquisition device) accessing the blockchain network; asymmetric encryption algorithms herein may include, but are not limited to: the Elgamal algorithm (an asymmetric encryption algorithm), the Rabin algorithm (an asymmetric encryption algorithm), the Diffie-Hellman algorithm (an asymmetric encryption algorithm), the ECC algorithm (elliptic curve encryption algorithm). Wherein the key pair comprises a public key and a private key. After creating the key pair, the evaluation platform may upload a public key of the key pair to the blockchain network, while the private key is kept by the evaluation platform, so that a subsequent blockchain node device may decrypt a private key signature of the evaluation platform using the public key. It should be noted that each pair of key pairs in the blockchain network has uniqueness; that is, the public key may mark the evaluation platform to which the private key corresponds.
S402: and verifying the evaluation platform according to the digital signature.
And the node equipment decrypts and verifies the private key signature of the evaluation platform by using the public key of the evaluation platform, and if the decryption is successful, the node equipment determines that the private key signature of the evaluation platform passes the verification, and then the node equipment determines that the evaluation platform is legal.
S403: and if the verification is passed, acquiring prestored target data corresponding to the target object from the block chain according to the identification information of the target object, and returning the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
If the node device passes the verification of the digital signature of the evaluation platform, the node device acquires target data of the target object corresponding to the identification information from pre-stored target data in the block chain according to the identification information of the target object, and then the node device can return the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
The evaluation result may be an evaluation value (score) corresponding to the growth ability, or may be a label corresponding to the growth ability evaluation value, such as a label of "short-term extended late strength is insufficient", "short-term extended operation ability is strong", or "short-term operation maintenance stability".
In an embodiment, the evaluation system based on the blockchain network further includes a data acquisition device and a data verification device, where target data corresponding to the target object includes resource data corresponding to the target object, and the node device may further receive the resource data corresponding to the target object sent by the data acquisition device, and further the node device may send a data verification request to the data verification device, where the data verification request includes identification information of the target object and the resource data, so that the data verification device obtains a verification result after verifying the resource data according to the identification information of the target object. Further, the node device receives the verification result sent by the data verification device, and if the verification result is that the verification is passed, the identification information of the target object and the resource data corresponding to the target object are stored in the block chain in an associated manner. The data verification device may be the node device, or may be a server device existing independently of the blockchain network.
Optionally, the resource data corresponding to the target object sent by the data acquisition device carries the private key signature of the data acquisition device, after the node device receives the resource data corresponding to the target object sent by the data acquisition device, the node device may further decrypt the private key signature of the data acquisition device by using the public key corresponding to the private key of the data acquisition device stored in the block chain, and if decryption is successful, the node device receives the resource data corresponding to the target object sent by the data acquisition device. By adopting the method, the traceability of the resource data corresponding to the target object stored in the block chain can be ensured.
Optionally, when the data verification device is a server device existing independently of the blockchain network, the verification result sent by the data verification device carries the private key signature of the data verification device, further, the node device receives the verification result sent by the data verification device, decrypts the private key signature of the data verification device by using a public key corresponding to the private key of the data verification device stored in the blockchain, and if decryption is successful, the node device receives the verification result sent by the data verification device. By adopting the method, the legality of the equipment for verifying the target data can be ensured, in other words, the verification result sent by the data verification equipment has validity.
In an application scenario, resource data corresponding to a target object is financial data of an object to be evaluated (or an enterprise to be evaluated), a data acquisition device is a terminal device deployed in the enterprise to be evaluated, and a data verification device is a tax bureau terminal device independent of a block chain network. And the node equipment receives financial data of the enterprise to be evaluated, which is sent by the data acquisition equipment, wherein the financial data comprises identification information of the enterprise to be evaluated and carries a private key signature of the data acquisition equipment. After the private key signature of the data acquisition device is verified (i.e., after the private key signature is successfully decrypted by using the corresponding public key), the node device sends a data verification request to the data verification device (tax office terminal device), wherein the data verification request carries identification information of a target object (an enterprise to be evaluated) and financial data of the enterprise to be evaluated. After receiving the data verification request, the data verification device (tax office terminal device) queries and obtains tax information of the target object (enterprise to be evaluated) according to the identification information of the target object (enterprise to be evaluated), further, the data verification device can verify the financial data of the enterprise to be evaluated according to the tax information, and sends a verification result to the node device, wherein the verification result carries a private key signature of the data verification device (tax office terminal device). After the private key signature of the data verification device (tax office terminal device) is verified by the node device (namely, after the corresponding public key is successfully decrypted), the financial data and the identification information of the enterprise to be evaluated are stored in the block chain in an associated manner. By the method, the traceability and authenticity of the data stored on the blockchain are ensured.
In an embodiment, the target data corresponding to the target object further includes preset weight parameters corresponding to the resource data, where the number of types of the resource data is at least one type, in this case, the node device may further receive the preset weight parameters corresponding to the resource data sent by the data acquisition device, where the number of the preset weight parameters corresponds to the number of types of the resource data, further, the node device verifies the preset weight parameters based on a consistency verification method, and if the verification is passed, stores the preset weight parameters in the block chain.
In an application scenario, the assessment platform adopts an AHP analytic hierarchy process to assess the growth capacity of the enterprise. Further, a total asset growth rate, a fixed asset growth rate, a sales revenue growth rate, a profit growth rate, and a scientific input of the enterprise related to the growth capacity of the enterprise may be determined as criteria according to the AHP analytic hierarchy process. In this case, the target data (financial data of the enterprise to be evaluated) corresponding to the target object (enterprise to be evaluated) includes a total asset growth rate, a fixed asset growth rate, a sales income growth rate, a profit growth rate, and a scientific research investment of the enterprise. The data acquisition equipment is terminal equipment (for example, user equipment corresponding to experts in the field of enterprise growth ability assessment) for acquiring preset weight parameters, receives a weight parameter acquisition instruction sent by an assessment platform, and acquires the preset weight parameters respectively corresponding to a total asset growth rate, a fixed asset growth rate, a sales income growth rate, a profit growth rate and scientific research investment in enterprise growth ability assessment according to the weight parameter acquisition instruction. After acquiring each preset weight parameter, the data acquisition device sends a data storage request to the node device, wherein the data storage request carries each preset weight parameter and a private key signature of the data acquisition device. After the private key signature of the data acquisition device is verified by the node device, consistency verification is performed on each preset weight parameter, wherein specific implementation processes of the consistency verification method can refer to relevant descriptions in the foregoing embodiments, and redundant description is not repeated here. And the node equipment passes the verification of the preset weight parameter based on a consistency verification method, and stores the preset weight parameter on the block chain. By adopting the method, the preset weight parameter can not be changed or tampered, and the objective fairness in the evaluation process is ensured.
In one embodiment, the node device may further receive an evaluation result of the evaluation platform on the target object, where the evaluation result carries a digital signature of the evaluation platform and identification information of the target object, and further, the node device verifies the evaluation platform according to the digital signature; and if the verification is passed, the evaluation result and the identification information of the target object are stored in the block chain in an associated manner. By the method, when the evaluation platform receives the evaluation request for the target object again, the evaluation result can be obtained from the block chain, so that the calculation time of the evaluation platform is saved, and the evaluation efficiency is improved.
Illustratively, a user a sends an evaluation request for an enterprise B to an evaluation platform through a user terminal 1, after the evaluation platform obtains an evaluation result for the enterprise B according to the evaluation request, the evaluation platform sends the evaluation result for the enterprise B to a node device, where the evaluation result carries a digital signature of the evaluation platform (i.e., a private key signature of the evaluation platform), and the node device verifies the digital signature (i.e., decrypts the private key signature by using a public key), and if the decryption is successful, the verification passes. Further, the node device stores the evaluation result and the identification information of the enterprise B in the blockchain. When a user C sends an evaluation request aiming at an enterprise B to an evaluation platform through a user terminal 2, the evaluation platform sends a data acquisition request aiming at target data corresponding to the enterprise B to node equipment, and after receiving the data acquisition request, the node equipment acquires an evaluation result of the enterprise B and directly returns the evaluation result of the enterprise B to the evaluation platform.
In the embodiment of the application, the node device receives a data acquisition request sent by the evaluation platform, wherein the data acquisition request carries identification information of a target object and a digital signature of the evaluation platform. Further, the node device verifies the evaluation platform according to the digital signature, and if the verification is passed, target data corresponding to the target object stored in advance are acquired from the block chain according to the identification information of the target object, and the target data are returned to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result. By adopting the mode, the tamper-proof technical characteristic of the block chain storage is combined, a data safety and reliable evaluation method is provided, and the reliability and the accuracy of an evaluation result are favorably improved.
Referring to fig. 5, a schematic structural diagram of an evaluation apparatus based on a blockchain network according to an embodiment of the present application is shown, where the apparatus is configured to a node device in the blockchain network in an evaluation system based on the blockchain network, the evaluation system based on the blockchain network further includes an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, and the apparatus includes:
an obtaining module 50, configured to receive a data obtaining request sent by the evaluation platform after receiving an evaluation request sent by the user terminal device, where the evaluation request carries identification information of the target object, and the data obtaining request carries identification information of the target object and a digital signature of the evaluation platform;
a processing module 51, configured to verify the evaluation platform according to the digital signature;
the obtaining module 50 is further configured to obtain pre-stored target data corresponding to the target object from a block chain according to the identification information of the target object if the verification is passed;
and the output module 52 is configured to return the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In an embodiment, the evaluation system based on the blockchain network further includes a data acquisition device and a data verification device, where the target data corresponding to the target object includes resource data corresponding to the target object, and the obtaining module 50 is further configured to receive the resource data corresponding to the target object sent by the data acquisition device before obtaining the pre-stored target data corresponding to the target object from the blockchain according to the identification information of the target object; the output module 52 is further configured to send a data verification request to the data verification device, where the data verification request includes the identification information of the target object and the resource data, so that the data verification device obtains a verification result after verifying the resource data according to the identification information of the target object; the obtaining module 50 is further configured to receive the verification result sent by the data verification device, and if the verification result is that verification is passed, associate and store the identification information of the target object and the resource data corresponding to the target object in a block chain.
In an embodiment, the target data corresponding to the target object further includes preset weight parameters corresponding to the resource data, where the number of types of the resource data is at least one type, and the obtaining module 50 is further configured to receive the preset weight parameters corresponding to the resource data sent by the data acquisition device, where the number of the preset weight parameters corresponds to the number of types of the resource data; the processing module 51 is further configured to verify the preset weight parameter based on a consistency verification method; and if the verification is passed, storing the preset weight parameters in the block chain.
In an embodiment, the obtaining module 50 is further configured to receive an evaluation result of the evaluation platform for the target object, where the evaluation result carries a digital signature of the evaluation platform and identification information of the target object; the processing module 51 is further configured to verify the evaluation platform according to the digital signature; and if the verification is passed, associating and storing the evaluation result and the identification information of the target object in a block chain.
It should be noted that the functions of each unit module of the route forwarding apparatus described in this embodiment of the present application may be specifically implemented according to the method in the method embodiment described in fig. 4, and a specific implementation process thereof may refer to the relevant description of the method embodiment of fig. 4, which is not described herein again.
Based on the description of the method embodiment and the apparatus item embodiment, an embodiment of the present application further provides a node device. Referring to fig. 6, the node device may include at least a processor 601, an input device 602, an output device 603, and a memory 604; the processor 601, the input device 602, the output device 603, and the memory 604 may be connected by a bus or other connection means. The memory 604 may also include a computer-readable storage medium for storing a computer program comprising program instructions, the processor 601 for executing the program instructions stored by the memory 604. The processor 601 (or CPU) is a computing core and a control core of the node device, and is adapted to implement one or more instructions, and in particular, is adapted to load and execute the one or more instructions so as to implement the corresponding method flow or the corresponding function in the data Processing method embodiment. Wherein the processor 601 is configured to call the program instructions to perform: receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform; verifying the evaluation platform according to the digital signature; and if the verification is passed, acquiring prestored target data corresponding to the target object from a block chain according to the identification information of the target object, and returning the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
In an embodiment, the evaluation system based on the blockchain network further includes a data acquisition device and a data verification device, where the target data corresponding to the target object includes resource data corresponding to the target object, and before the target data corresponding to the target object that is stored in advance is acquired from the blockchain according to the identification information of the target object, the processor 601 is further configured to: receiving resource data corresponding to the target object sent by the data acquisition equipment; sending a data verification request to the data verification device, wherein the data verification request comprises the identification information of the target object and the resource data, so that the data verification device obtains a verification result after verifying the resource data according to the identification information of the target object; and receiving the verification result sent by the data verification equipment, and if the verification result is that the verification is passed, associating the identification information of the target object with the resource data corresponding to the target object and storing the association in a block chain.
In an embodiment, the target data corresponding to the target object further includes a preset weight parameter corresponding to the resource data, where the number of types of the resource data is at least one type, and the processor 601 is further configured to: receiving preset weight parameters corresponding to the resource data sent by the data acquisition equipment, wherein the number of the preset weight parameters corresponds to the number of the types of the resource data; verifying the preset weight parameters based on a consistency verification method; and if the verification is passed, storing the preset weight parameters in the block chain.
In one embodiment, the processor 601 is further configured to: receiving an evaluation result of the evaluation platform on the target object, wherein the evaluation result carries a digital signature of the evaluation platform and identification information of the target object; verifying the evaluation platform according to the digital signature; and if the verification is passed, associating and storing the evaluation result and the identification information of the target object in a block chain.
It should be understood that in the embodiment of the present Application, the Processor 601 may be a Central Processing Unit (CPU), and the Processor 601 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete a hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 604 may include both read-only memory and random access memory, and provides instructions and data to the processor 601. A portion of the memory 604 may also include non-volatile random access memory. For example, the memory 604 may also store device type information. The input device 602 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user), a microphone, a physical keyboard, etc., and the output device 603 may include a display (LCD, etc.), a speaker, etc.
In specific implementation, the processor 601, the memory 604, the input device 602, and the output device 603 described in this embodiment of the present application may perform the implementation described in the method embodiment shown in fig. 4 provided in this embodiment of the present application, and may also perform the implementation method of the evaluation apparatus based on the blockchain network described in fig. 5 in this embodiment of the present application, which is not described herein again.
In another embodiment of the present application, a computer-readable storage medium is provided, where a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement the implementation described in the method of fig. 4 provided in this application, where the computer-readable storage medium may be an internal storage unit of a node device, such as a hard disk or a memory of the node device, in any one of the foregoing embodiments. The computer readable storage medium may also be an external storage device of the node device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the node device. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the node device. The computer-readable storage medium is used for storing the computer program and other programs and data required by the node device. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above.
The readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the present disclosure has been described with reference to particular embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure.
Claims (10)
1. An evaluation system based on a blockchain network, the evaluation system based on the blockchain network comprising an evaluation platform for evaluating a target object, a user terminal device for receiving an evaluation result of the target object, and a node device in the blockchain network, wherein:
the user terminal device is used for sending an evaluation request aiming at the target object to the evaluation platform and receiving an evaluation result sent by the evaluation platform after the evaluation aiming at the target object;
the evaluation platform is used for sending a data acquisition request to the node equipment according to the received evaluation request, receiving target data corresponding to the target object returned by the node equipment according to the data acquisition request, evaluating the target object according to an AHP (advanced high-performance analysis) method, a Z-value model method and the target data, and sending an evaluation result of the target object to the user terminal equipment;
and the node equipment is used for receiving the data acquisition request, acquiring pre-stored target data corresponding to the target object from a block chain according to the data acquisition request, and returning the target data to the evaluation platform.
2. The system of claim 1, wherein the blockchain network based evaluation system further comprises a data acquisition device, wherein:
the data acquisition equipment is used for acquiring target data corresponding to the target object and sending a data storage request carrying the target data to the node equipment;
and the node equipment is further used for verifying the target data according to the received data storage request, and if the target data passes the verification, the target data is stored in the block chain.
3. The system according to claim 1 or 2, wherein the blockchain network based evaluation system comprises a data verification device, wherein:
the data verification device is configured to receive a data verification request, which is sent by the node device and is for target data corresponding to the target object, verify the target data, and send a data verification result of the target data to the node device;
the node device is further configured to send a data verification request for the target data to the data verification device after receiving a data storage request for the target data corresponding to the target object, receive a data verification result of the data verification device for the target data, and store the target data in the block chain if the data verification result is a pass.
4. A method for evaluating a blockchain-based network, the method being performed by a node device in a blockchain network of an evaluation system based on a blockchain network, the evaluation system based on a blockchain network further including an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, the method comprising:
receiving a data acquisition request sent by the evaluation platform after receiving an evaluation request sent by the user terminal equipment, wherein the evaluation request carries the identification information of the target object, and the data acquisition request carries the identification information of the target object and the digital signature of the evaluation platform;
verifying the evaluation platform according to the digital signature;
and if the verification is passed, acquiring prestored target data corresponding to the target object from a block chain according to the identification information of the target object, and returning the target data to the evaluation platform, so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
5. The method according to claim 4, wherein the evaluation system based on the blockchain network further includes a data acquisition device and a data verification device, the target data corresponding to the target object includes the resource data corresponding to the target object, and before the pre-stored target data corresponding to the target object is obtained from the blockchain according to the identification information of the target object, the method further includes:
receiving resource data corresponding to the target object sent by the data acquisition equipment;
sending a data verification request to the data verification device, wherein the data verification request comprises the identification information of the target object and the resource data, so that the data verification device obtains a verification result after verifying the resource data according to the identification information of the target object;
and receiving the verification result sent by the data verification equipment, and if the verification result is that the verification is passed, associating the identification information of the target object with the resource data corresponding to the target object and storing the association in a block chain.
6. The method according to claim 5, wherein the target data corresponding to the target object further includes a preset weight parameter corresponding to the resource data, the number of types of the resource data is at least one type, and the method further includes:
receiving preset weight parameters corresponding to the resource data sent by the data acquisition equipment, wherein the number of the preset weight parameters corresponds to the number of the types of the resource data;
verifying the preset weight parameters based on a consistency verification method;
and if the verification is passed, storing the preset weight parameters in the block chain.
7. The method according to any one of claims 4-6, further comprising:
receiving an evaluation result of the evaluation platform on the target object, wherein the evaluation result carries a digital signature of the evaluation platform and identification information of the target object;
verifying the evaluation platform according to the digital signature;
and if the verification is passed, associating and storing the evaluation result and the identification information of the target object in a block chain.
8. An evaluation apparatus based on a blockchain network, the apparatus being deployed in a node device in an evaluation system based on a blockchain network, the evaluation system based on a blockchain network further including an evaluation platform for evaluating a target object and a user terminal device for receiving an evaluation result corresponding to the target object, the evaluation apparatus based on a blockchain network comprising:
an obtaining module, configured to receive a data obtaining request sent by the evaluation platform after receiving an evaluation request sent by the user terminal device, where the evaluation request carries identification information of the target object, and the data obtaining request carries identification information of the target object and a digital signature of the evaluation platform;
the processing module is used for verifying the evaluation platform according to the digital signature;
the obtaining module is further configured to obtain target data corresponding to the target object from a block chain according to the identification information of the target object if the verification is passed;
and the output module is used for returning the target data to the evaluation platform so that the evaluation platform evaluates the target object according to the target data to obtain an evaluation result.
9. A node device, characterized in that it comprises a processor and a storage means, said processor and storage means being interconnected, wherein said storage means is adapted to store a computer program comprising program instructions, said processor being configured to invoke said program instructions to perform the method according to any of claims 4-7.
10. A computer storage medium having stored thereon program instructions for implementing the method of any one of claims 4-7 when executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011514640.6A CN112702410B (en) | 2020-12-18 | 2020-12-18 | Evaluation system, method and related equipment based on blockchain network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011514640.6A CN112702410B (en) | 2020-12-18 | 2020-12-18 | Evaluation system, method and related equipment based on blockchain network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112702410A true CN112702410A (en) | 2021-04-23 |
| CN112702410B CN112702410B (en) | 2024-04-19 |
Family
ID=75507740
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011514640.6A Active CN112702410B (en) | 2020-12-18 | 2020-12-18 | Evaluation system, method and related equipment based on blockchain network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112702410B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114974593A (en) * | 2022-07-11 | 2022-08-30 | 江苏优创生物医学科技有限公司 | Enterprise health management evaluation method and system based on block chain |
| CN115834419A (en) * | 2022-11-16 | 2023-03-21 | 中国联合网络通信集团有限公司 | Network evaluation method, device and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108985569A (en) * | 2018-06-15 | 2018-12-11 | 深圳市元征科技股份有限公司 | A kind of vehicle risk appraisal procedure, server |
| CN109102176A (en) * | 2018-07-25 | 2018-12-28 | 珠海宏桥高科技有限公司 | A kind of trade finance appraisal procedure and device based on block chain |
| CN109194641A (en) * | 2018-08-27 | 2019-01-11 | 广东工业大学 | A kind of transmission method of business datum, device, equipment and storage medium |
| CN109242292A (en) * | 2018-08-28 | 2019-01-18 | 深圳市轱辘汽车维修技术有限公司 | A kind of asset evaluation method, block chain node device and system |
| US20190355025A1 (en) * | 2018-05-17 | 2019-11-21 | Alibaba Group Holding Limited | Blockchain-based resource value evaluation methods and apparatus |
| CN110555779A (en) * | 2019-07-25 | 2019-12-10 | 深圳壹账通智能科技有限公司 | data processing method, data processing device, computer equipment and storage medium |
| CN110955919A (en) * | 2019-11-22 | 2020-04-03 | 腾讯科技（深圳）有限公司 | Data processing method based on block chain network, related device and storage medium |
| JP2020080126A (en) * | 2018-11-14 | 2020-05-28 | 大日本印刷株式会社 | Evaluation system, information processor, evaluation method, and computer program |
| CN111445162A (en) * | 2020-04-15 | 2020-07-24 | 中国银行股份有限公司 | Evaluation data sharing method and system |
| CN111600897A (en) * | 2020-05-21 | 2020-08-28 | 杭州安恒信息技术股份有限公司 | Network security event grade evaluation method, equipment and related equipment |
| CN111683078A (en) * | 2019-12-03 | 2020-09-18 | 丁奇娜 | Block chain communication node verification method and device |
-
2020
- 2020-12-18 CN CN202011514640.6A patent/CN112702410B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190355025A1 (en) * | 2018-05-17 | 2019-11-21 | Alibaba Group Holding Limited | Blockchain-based resource value evaluation methods and apparatus |
| CN108985569A (en) * | 2018-06-15 | 2018-12-11 | 深圳市元征科技股份有限公司 | A kind of vehicle risk appraisal procedure, server |
| CN109102176A (en) * | 2018-07-25 | 2018-12-28 | 珠海宏桥高科技有限公司 | A kind of trade finance appraisal procedure and device based on block chain |
| CN109194641A (en) * | 2018-08-27 | 2019-01-11 | 广东工业大学 | A kind of transmission method of business datum, device, equipment and storage medium |
| CN109242292A (en) * | 2018-08-28 | 2019-01-18 | 深圳市轱辘汽车维修技术有限公司 | A kind of asset evaluation method, block chain node device and system |
| JP2020080126A (en) * | 2018-11-14 | 2020-05-28 | 大日本印刷株式会社 | Evaluation system, information processor, evaluation method, and computer program |
| CN110555779A (en) * | 2019-07-25 | 2019-12-10 | 深圳壹账通智能科技有限公司 | data processing method, data processing device, computer equipment and storage medium |
| CN110955919A (en) * | 2019-11-22 | 2020-04-03 | 腾讯科技（深圳）有限公司 | Data processing method based on block chain network, related device and storage medium |
| CN111683078A (en) * | 2019-12-03 | 2020-09-18 | 丁奇娜 | Block chain communication node verification method and device |
| CN111445162A (en) * | 2020-04-15 | 2020-07-24 | 中国银行股份有限公司 | Evaluation data sharing method and system |
| CN111600897A (en) * | 2020-05-21 | 2020-08-28 | 杭州安恒信息技术股份有限公司 | Network security event grade evaluation method, equipment and related equipment |
Non-Patent Citations (2)
| Title |
|---|
| BIN WU; YINSHENG LI: ""Design of Evaluation System for Digital Education Operational Skill Competition Based on Blockchain"", 《2018 IEEE 15TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE)》, 31 December 2018 (2018-12-31) * |
| 林荣来;王世杰;: "标识解析与区块链技术在"供应链"金融领域应用探索", 网络安全技术与应用, no. 08 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114974593A (en) * | 2022-07-11 | 2022-08-30 | 江苏优创生物医学科技有限公司 | Enterprise health management evaluation method and system based on block chain |
| CN115834419A (en) * | 2022-11-16 | 2023-03-21 | 中国联合网络通信集团有限公司 | Network evaluation method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112702410B (en) | 2024-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110263024B (en) | Data processing method, terminal device and computer storage medium | |
| US11954228B2 (en) | Systems and methods for providing identity verification services | |
| US11538105B2 (en) | Cryptographic-asset collateral management | |
| US20200118131A1 (en) | Database transaction compliance | |
| US11257070B2 (en) | Computer-implemented system and method for generating and extracting user related data stored on a blockchain | |
| US20180285971A1 (en) | Management of consumer debt collection using a blockchain and machine learning | |
| CN111444209B (en) | Data processing method, device, equipment and medium based on block chain | |
| US11776079B2 (en) | Digital property authentication and management system | |
| US20200265530A1 (en) | Digital Property Authentication and Management System | |
| US11699203B2 (en) | Digital property authentication and management system | |
| US20200265532A1 (en) | Digital Property Authentication and Management System | |
| CN112702410B (en) | Evaluation system, method and related equipment based on blockchain network | |
| CN115456773A (en) | Payment control method, device, equipment and medium based on block chain | |
| US20100325057A1 (en) | Leveraging social capital on a website | |
| US20200265533A1 (en) | Digital Property Authentication and Management System | |
| CN113034275B (en) | Management system and method based on block chain network and terminal equipment | |
| CN115358894A (en) | Intellectual property life cycle trusteeship management method, device, equipment and medium | |
| CN113498592B (en) | Method and system for digital property authentication and management | |
| CN111815272A (en) | Application auditing method and device, electronic equipment and storage medium | |
| US11989774B1 (en) | Systems and methods for providing digital trusted data | |
| US20240137230A1 (en) | Systems and methods for conditional distribution of aggregated cryptographic data based on a trigger | |
| CN113011876A (en) | User policy obtaining method and device, electronic device and readable storage medium | |
| CN114358946A (en) | Block chain-based mortgage lending method and device | |
| CN116485547A (en) | Block chain-based carbon asset transaction method | |
| CN115239484A (en) | Financing risk detection method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |