CN112488825A - Object transaction method and device based on block chain - Google Patents

Object transaction method and device based on block chain Download PDF

Info

Publication number
CN112488825A
CN112488825A CN202011441826.3A CN202011441826A CN112488825A CN 112488825 A CN112488825 A CN 112488825A CN 202011441826 A CN202011441826 A CN 202011441826A CN 112488825 A CN112488825 A CN 112488825A
Authority
CN
China
Prior art keywords
transaction
information
user
type
historical
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
Application number
CN202011441826.3A
Other languages
Chinese (zh)
Other versions
CN112488825B (en
Inventor
张盼
牟森
李立宁
张森
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aisino Corp
Original Assignee
Aisino Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Aisino Corp filed Critical Aisino Corp
Priority to CN202011441826.3A priority Critical patent/CN112488825B/en
Publication of CN112488825A publication Critical patent/CN112488825A/en
Application granted granted Critical
Publication of CN112488825B publication Critical patent/CN112488825B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/906—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/602—Providing cryptographic facilities or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
    • G06Q20/3829—Payment protocols; Details thereof insuring higher security of transaction involving key management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/16—Real estate
    • G06Q50/167—Closing

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Databases & Information Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Bioethics (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Technology Law (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The application discloses an object transaction method and device based on a block chain. The method comprises the following steps: receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; analyzing the credit evaluation value and income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain a target type of a transaction object meeting the payment range of the current transaction user and a preset expected value; acquiring a corresponding object transaction scheme stored in a block chain according to the target type of the transaction object; outputting a transaction data acquisition request according to the object transaction scheme, and receiving a transaction data acquisition response carrying transaction data corresponding to the object transaction scheme; and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result. The method improves the transaction efficiency, saves a large amount of time for the transaction object, and improves the user experience.

Description

Object transaction method and device based on block chain
Technical Field
The present application relates to the field of communications technologies, and in particular, to a block chain-based object transaction method and apparatus.
Background
The blockchain technology is a new technology which is started in recent years, is considered as one of the most expected technical innovations in the 21 st century, establishes credit for trading parties in a technical mode without participation of third-party institutions, and has the characteristics of decentralization, openness, anonymity, non-falsification and the like. Block chains are held in great promise and have been investigated for use in various fields and business scenarios. And house transactions can also be currently conducted online.
However, the current house transaction cannot analyze transaction feasibility through a blockchain, and a transaction user can only browse each house type on line and then realize the transaction, so that a lot of time is spent, and the user experience is low.
Disclosure of Invention
The embodiment of the application provides an object trading method and device based on a block chain, which solve the problems in the prior art, improve the trading efficiency, save a large amount of time for trading objects, and improve the user experience.
In a first aspect, a blockchain-based object transaction method is provided, and the method may include:
receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
analyzing the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain the target type of the transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
acquiring a corresponding object trading scheme stored in the block chain according to the target type of the trading object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
outputting a transaction data acquisition request according to the object transaction scheme, wherein the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme; receiving transaction data carrying transaction data corresponding to the object transaction scheme to obtain a response;
and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result.
In an alternative implementation, before analyzing the credit assessment value in the credit information and the revenue information based on the comprehensive transaction information stored in the blockchain, the method further includes:
collecting user information of a history transaction user with a history object transaction success; the user information comprises user basic information, credit information and income information of the historical transaction user;
encrypting the basic user information by adopting a preset encryption algorithm to generate a private key, encrypting the credit information and the income information to generate a public key, and storing the private key and the public key in a block chain;
determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in a blockchain;
and clustering the comprehensive transaction information according to the credit information and income information in the public key of each historical transaction user to obtain an object transaction scheme, and storing the object transaction scheme in a block chain.
In an optional implementation, the method further comprises:
acquiring credit change information of each transaction user in a stored abnormal transaction blacklist library and a stored lost-credit receipt library in real time;
and updating the credit evaluation value of the corresponding transaction user according to the credit change information.
In an alternative implementation, determining the comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and the corresponding payment information comprises:
acquiring the type information and the corresponding payment information of the transaction object of the historical transaction of each historical transaction user;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
In an alternative implementation, the payment status in the integrated transaction information includes a payment status of a successful transaction, the method further comprising:
and determining the successful transaction rate of the large transaction amount and the successful transaction rate of the small transaction amount according to the payment state of the successful transaction and a preset transaction amount threshold value.
In an optional implementation, calculating expected values of the historical transaction users for corresponding types of transactions by using a preset first algorithm based on the type information of the object of the historical transaction includes:
determining transaction parameters based on the transaction time of the transaction object and the position of the house type of the historical transaction;
for each type of the transaction object, acquiring a first number of times that the type expects to perform transactions within a first preset time;
for each type of the transaction object, acquiring a second number of times that the type expects to perform transactions within a second preset time;
the calculation formula of the historical trading user on the corresponding type of trading expected value beta is represented as follows:
β＝(γy+γm)*LBS；
wherein said LBS is said transaction parameter, γyIs the first order and gammamAnd gamma is a first preset parameter.
In an optional implementation, calculating, by using a preset second algorithm, a payment state of the historical transaction user for the corresponding type based on the payment information of the type information of the transaction object includes:
for each type of the transaction object, acquiring a first number of times of successful transactions of the type within a first preset time;
for each type of the transaction object, acquiring a second number of times of successful transactions of the type within a second preset time;
the calculation formula of the historical transaction user on the corresponding type of payment state alpha is represented as follows:
α＝δy+δm+M；
wherein the average transaction number of the M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter.
In a second aspect, there is provided a blockchain-based object transaction apparatus, which may include: the system comprises a receiving unit, an analyzing unit, an obtaining unit, an output unit and a transaction unit;
the receiving unit is used for receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
the analysis unit is used for analyzing the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain the target type of the transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
the acquisition unit is used for acquiring a corresponding object trading scheme stored in the block chain according to the target type of the trading object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
the output unit is used for outputting a transaction data acquisition request according to the object transaction scheme, and the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme;
the receiving unit is also used for receiving a transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme;
the transaction unit is further used for executing the transaction aiming at the transaction object with the current transaction user based on the transaction data;
the output unit is also used for outputting the object transaction response carrying the transaction result.
In an optional implementation, the apparatus further comprises an acquisition unit, an encryption unit, and a determination unit;
the acquisition unit is used for acquiring the user information of the historical transaction user who has successfully transacted the historical object; the user information comprises user basic information, credit information and income information of the historical transaction user;
the encryption unit is used for encrypting the user basic information by adopting a preset encryption algorithm to generate a private key, encrypting the credit information and the income information to generate a public key, and storing the private key and the public key in a block chain;
the determining unit is used for determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in a block chain;
the acquisition unit is further configured to cluster the comprehensive transaction information according to credit information and income information in the public key of each historical transaction user to obtain an object transaction scheme, and store the object transaction scheme in a block chain.
In an alternative implementation, the apparatus further comprises an updating unit;
the acquisition unit is also used for acquiring credit change information of each transaction user in the abnormal transaction blacklist library and the abnormal transaction blacklist library in real time;
and the updating unit is used for updating the credit evaluation value of the corresponding transaction user according to the credit change information.
In an optional implementation, the obtaining unit is further configured to obtain type information of the transaction object and corresponding payment information of the historical transaction of each historical transaction user;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
In an alternative implementation, the payment status in the consolidated transaction information includes the payment status of a successful transaction;
the determining unit is further used for determining a successful transaction rate of the large transaction amount and a successful transaction rate of the small transaction amount according to the payment state of the successful transaction and a preset transaction amount threshold value.
In an optional implementation, the determining unit is further configured to determine a transaction parameter based on the transaction time of the transaction object and the location of the house type of the historical transaction;
the acquisition unit is further used for acquiring a first number of times of expected transactions of each type within a first preset time aiming at each type of the transaction object;
and acquiring a second number of times of expected transactions of the type within a second preset time aiming at each type of the transaction object;
the calculation formula of the historical trading user on the corresponding type of trading expected value beta is represented as follows:
β＝(γy+γm)*LBS；
wherein said LBS is said transaction parameter, γyIs the first order and gammamAnd gamma is a first preset parameter.
In an optional implementation, the obtaining unit is further configured to obtain, for each type of the transaction object, a first number of times that the transaction of the type succeeds within a first preset time;
and acquiring a second number of times of successful transaction of the type within a second preset time aiming at each type of the transaction object;
the calculation formula of the historical transaction user on the corresponding type of payment state alpha is represented as follows:
α＝δy+δm+M；
wherein the average transaction number of the M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter.
In a third aspect, an electronic device is provided, which includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor adapted to perform the method steps of any of the above first aspects when executing a program stored in the memory.
In a fourth aspect, a computer-readable storage medium is provided, having stored therein a computer program which, when executed by a processor, performs the method steps of any of the above first aspects.
The object transaction method based on the block chain provided by the embodiment of the invention comprises the following steps: receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information; analyzing the credit evaluation value and income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain a target type of a transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to various corresponding types; acquiring a corresponding object transaction scheme stored in a block chain according to the target type of the transaction object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of object to be traded corresponding to different income information; outputting a transaction data acquisition request according to the object transaction scheme, wherein the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme; receiving transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme; and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result. The method improves the transaction efficiency, saves a large amount of time for the transaction object, and improves the user experience.
Drawings
Fig. 1 is a schematic flowchart of an object transaction method based on a blockchain according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an object transaction apparatus based on a block chain according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without any creative effort belong to the protection scope of the present application.
The object trading method based on the blockchain provided by the embodiment of the invention is characterized in that data analysis is carried out based on information stored in the blockchain, the correctness of an analysis result is ensured, the reference value under big data is higher, and the house purchasing willingness of a trading user is evaluated according to the expected value of the trading user to a trading object, such as a house, so that the trading possibility is evaluated, excessive time waste on the trading user with lower expected value and insufficient payment capability is prevented, and the trading efficiency is improved.
The object transaction method based on the block chain provided by the embodiment of the invention can be applied to a server and can also be applied to a terminal.
The server is a cloud server or an application server; the Terminal may be a User Equipment (UE) such as a Mobile phone, a smart phone, a laptop, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), etc. with high computing power, a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, a Mobile Station (MS), a Mobile Terminal (Mobile Terminal), etc. The terminal has the capability to communicate with one or more core networks via a Radio Access Network (RAN).
The following description will be made in detail by taking an application to a server as an example.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are merely for illustrating and explaining the present invention and are not intended to limit the present invention, and that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Fig. 1 is a schematic flowchart of an object transaction method based on a blockchain according to an embodiment of the present invention. As shown in fig. 1, the method may include:
step 110, receiving a subject transaction request.
The server receives an object transaction request, which may include a transaction object, user information of a current transaction user, which may include user basic information, credit information, income information, and the like.
The basic information of the user can comprise gender, family address, academic data, age, marital status and the like;
the credit information may include credit evaluation values, credit records, administrative penalty information, and the like. The credit evaluation value is a preset value and is used for reflecting the credit level of the user. For example, the credit evaluation value of a user with a good credit rating is 1.
Revenue information may include personal assets, payroll, and the like.
And step 120, analyzing the credit evaluation value and income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain a target type of the transaction object meeting the payment range of the current transaction user and a preset expectation value.
Before this step is performed, the comprehensive transaction information needs to be acquired, specifically:
collecting user information of a history transaction user with a history object transaction success; the user information comprises user basic information, credit information and income information of the historical transaction user;
encrypting the basic information of the user by adopting a preset encryption algorithm to generate a private key;
encrypting the credit information and the income information to generate a public key, and storing the private key and the public key in a block chain;
determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in the blockchain. The comprehensive transaction information comprises expected transaction values of historical transaction users for various types of transaction objects and payment states for various corresponding types.
In specific implementation, the type information and the corresponding payment information of the transaction object of the historical transaction of each historical transaction user can be acquired;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and then, obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
Further, the payment status may include the payment status of a successful transaction;
acquiring the successful transaction rate of the large transaction amount according to the payment state of the successful transaction which is greater than the preset transaction amount threshold value in the comprehensive transaction information; and acquiring the successful transaction rate of the small transaction amount according to the payment state of the successful transaction in the comprehensive transaction information, which is smaller than the preset transaction amount threshold value.
Therefore, the comprehensive transaction information can be classified, so that the comprehensive transaction information can be searched quickly in the following process.
Therefore, by acquiring the comprehensive transaction information of the historical transaction user, the embodiment of the invention can realize the analysis of the target types of the transaction objects with high tradable and expected degree of the transaction user from the comprehensive angle of the user assets and the expected values of the transaction objects.
In some embodiments, in order to improve the accuracy of the evaluation of the credit information of the trading users, the credit change information of each trading user in the abnormal trade blacklist library and the abnormal trade loss list library can be acquired in real time, and the real credit condition and the change trend of the trading user can be reflected in time;
and according to the credit change information, updating the credit evaluation value of the corresponding transaction user, thereby updating the comprehensive transaction information and further improving the accuracy of analysis.
Wherein, (1) for the historical transaction user to obtain the expected value of the corresponding type of transaction, the method comprises the following steps:
determining transaction parameters based on transaction time of a transaction object of historical transaction and a position of a house type;
aiming at each type of a transaction object, such as each house type of a house, acquiring a first number of times of expected transactions of the corresponding type within a first preset time;
acquiring a second number of times of expected transaction of the corresponding type within a second preset time aiming at each type of the transaction object;
optionally, the calculation formula of the historical trading user for the corresponding type of trading expectation value β is expressed as:
β＝(γy+γm)*LBS；
wherein LBS is a transaction parameter, gammayIs the first order and gammamAnd gamma is a first preset parameter.
(2) For historical transaction users, acquiring corresponding types of payment states comprises the following steps:
aiming at each type of a transaction object, acquiring a first number of times of successful transactions of the corresponding type within a first preset time;
acquiring a second number of times of successful transaction of the corresponding type within a second preset time aiming at each type of the transaction object;
optionally, the calculation formula of the historical transaction user for the corresponding type of payment status α is expressed as:
α＝δy+δm+M；
wherein, the average transaction times of M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter.
Further, according to credit information and income information in the public key of each historical trading user, clustering is carried out on the comprehensive trading information to obtain an object trading scheme, such as a house trading scheme, and the object trading scheme is stored in the block chain. The object trading scheme comprises first type trading objects corresponding to different credit information, namely first type trading objects corresponding to credit evaluation levels to which different credit evaluation values belong, and second type trading objects corresponding to different income information, namely second type trading objects corresponding to different income levels.
In order to improve the accuracy of clustering, a private key corresponding to a public key in a block chain can be used for decrypting the block chain, data in the public key are screened during statistics, and data which are obviously distributed and deviate from the positive distribution and the negative distribution are removed, so that the clustering result is prevented from being influenced by special cases.
Returning to step 120, the credit evaluation value and income information of the current trading user are analyzed based on the comprehensive trading information stored in the blockchain, and a target type of the trading object, such as a target house type of a house, meeting the payment range of the current trading user and a preset expected value is obtained.
In some embodiments, the user information of the historical trading user may be utilized to verify the trading scheme in the blockchain, that is, the credit evaluation value and income information of the historical trading user are analyzed to obtain a target type of the trading object that meets the payment range and the preset expected value of the current trading user, and whether the target type of the trading object is consistent with the target type of the real trading object of the historical trading user, if the target type meets the preset error range, the target type is determined to be consistent, and if the target type does not meet the preset error range, the blockchain data needs to be modified to ensure feasibility of the blockchain-based trading.
Step 130, obtaining a corresponding object trading scheme stored in the block chain according to the target type of the trading object.
The target type of the transaction object may include a first type of the transaction object corresponding to a credit evaluation level of a current transaction user and/or a second type of the transaction object corresponding to an income level of the current transaction user, that is, the target type of the transaction object includes at least one type of the transaction object.
And searching the object transaction scheme stored in the blockchain based on at least one type of the transaction object to obtain the object transaction scheme corresponding to the target type.
Step 140, obtaining the transaction data corresponding to the subject transaction scheme.
In specific implementation, a transaction data acquisition request can be output according to the acquired object transaction scheme so as to acquire transaction data corresponding to the object transaction scheme;
and then, receiving a transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme to acquire the transaction data corresponding to the object transaction scheme.
And 150, executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result.
The object transaction method based on the block chain provided by the embodiment of the invention comprises the following steps: receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information; analyzing the credit evaluation value and income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain a target type of a transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to various corresponding types; acquiring a corresponding object transaction scheme stored in a block chain according to the target type of the transaction object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of object to be traded corresponding to different income information; outputting a transaction data acquisition request according to the object transaction scheme, wherein the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme; receiving transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme; and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result. The method improves the transaction efficiency, saves a large amount of time for the transaction object, and improves the user experience.
Corresponding to the foregoing method, an embodiment of the present invention further provides a blockchain-based object transaction apparatus, as shown in fig. 2, where the blockchain-based object transaction apparatus includes: a receiving unit 210, an analyzing unit 220, an obtaining unit 230, an outputting unit 240, and a trading unit 250;
a receiving unit 210, configured to receive an object transaction request, where the object transaction request includes a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
an analyzing unit 220, configured to analyze the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the blockchain, so as to obtain a target type of the transaction object that meets the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
an obtaining unit 230, configured to obtain, according to a target type of the transaction object, a corresponding object transaction scheme stored in the blockchain; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
an output unit 240, configured to output a transaction data obtaining request according to the object transaction scheme, where the transaction data obtaining request is used to obtain transaction data corresponding to the object transaction scheme;
the receiving unit 210 is further configured to receive a transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme;
a transaction unit 250, further configured to execute a transaction for the transaction object with the current transaction user based on the transaction profile;
the output unit 240 is further configured to output an object transaction response carrying the transaction result.
In an alternative implementation, the apparatus further comprises an acquisition unit 260, an encryption unit 270, and a determination unit 280;
the acquisition unit 260 is used for acquiring the user information of the history transaction user with the history object transaction success; the user information comprises user basic information, credit information and income information of the historical transaction user;
an encryption unit 270, configured to encrypt the user basic information by using a preset encryption algorithm to generate a private key, encrypt the credit information and the income information to generate a public key, and store the private key and the public key in a block chain;
a determining unit 280 for determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in a blockchain;
the obtaining unit 230 is further configured to cluster the comprehensive transaction information according to the credit information and income information in the public key of each historical transaction user to obtain an object transaction scheme, and store the object transaction scheme in a block chain.
In an alternative implementation, the apparatus further comprises an updating unit 290;
the obtaining unit 230 is further configured to obtain credit change information of each transaction user in the stored abnormal transaction blacklist library and the stored lost-credit receipt library in real time;
and the updating unit 290 is used for updating the credit evaluation value of the corresponding transaction user according to the credit change information.
In an optional implementation, the obtaining unit 230 is further configured to obtain type information of the transaction object and corresponding payment information of the historical transaction of each historical transaction user;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
In an alternative implementation, the payment status in the consolidated transaction information includes the payment status of a successful transaction;
the determining unit 280 is further configured to determine a successful transaction rate of the large transaction amount and a successful transaction rate of the small transaction amount according to the payment status of the successful transaction and a preset transaction amount threshold.
In an optional implementation, the determining unit 280 is further configured to determine transaction parameters based on the transaction time of the transaction object and the location of the house type of the historical transaction;
the obtaining unit 230 is further configured to obtain, for each type of the transaction object, a first number of times that the type expects to perform a transaction within a first preset time;
and acquiring a second number of times of expected transactions of the type within a second preset time aiming at each type of the transaction object;
the calculation formula of the historical trading user on the corresponding type of trading expected value beta is represented as follows:
β＝(γy+γm)*LBS；
wherein said LBS is said transaction parameter, γyIs the first order and gammamAnd gamma is a first preset parameter.
In an optional implementation, the obtaining unit 230 is further configured to obtain, for each type of the transaction object, a first number of times that the transaction of the type succeeds within a first preset time;
and acquiring a second number of times of successful transaction of the type within a second preset time aiming at each type of the transaction object;
the calculation formula of the historical transaction user on the corresponding type of payment state alpha is represented as follows:
α＝δy+δm+M；
wherein the average transaction number of the M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter.
The functions of the functional units of the block chain-based object transaction apparatus provided in the above embodiment of the present invention may be implemented by the above method steps, and therefore, detailed working processes and beneficial effects of the units of the block chain-based object transaction apparatus provided in the embodiment of the present invention are not repeated herein.
An embodiment of the present invention further provides an electronic device, as shown in fig. 3, including a processor 310, a communication interface 320, a memory 330, and a communication bus 340, where the processor 310, the communication interface 320, and the memory 330 complete mutual communication through the communication bus 340.
A memory 330 for storing a computer program;
the processor 310, when executing the program stored in the memory 330, implements the following steps:
receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
analyzing the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain the target type of the transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
acquiring a corresponding object trading scheme stored in the block chain according to the target type of the trading object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
outputting a transaction data acquisition request according to the object transaction scheme, wherein the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme; receiving transaction data carrying transaction data corresponding to the object transaction scheme to obtain a response;
and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result.
In an alternative implementation, before analyzing the credit assessment value in the credit information and the revenue information based on the comprehensive transaction information stored in the blockchain, the method further includes:
collecting user information of a history transaction user with a history object transaction success; the user information comprises user basic information, credit information and income information of the historical transaction user;
encrypting the basic user information by adopting a preset encryption algorithm to generate a private key, encrypting the credit information and the income information to generate a public key, and storing the private key and the public key in a block chain;
determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in a blockchain;
and clustering the comprehensive transaction information according to the credit information and income information in the public key of each historical transaction user to obtain an object transaction scheme, and storing the object transaction scheme in a block chain.
In an optional implementation, the method further comprises:
acquiring credit change information of each transaction user in a stored abnormal transaction blacklist library and a stored lost-credit receipt library in real time;
and updating the credit evaluation value of the corresponding transaction user according to the credit change information.
In an alternative implementation, determining the comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and the corresponding payment information comprises:
acquiring the type information and the corresponding payment information of the transaction object of the historical transaction of each historical transaction user;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
In an alternative implementation, the payment status in the integrated transaction information includes a payment status of a successful transaction, the method further comprising:
and determining the successful transaction rate of the large transaction amount and the successful transaction rate of the small transaction amount according to the payment state of the successful transaction and a preset transaction amount threshold value.
In an optional implementation, calculating expected values of the historical transaction users for corresponding types of transactions by using a preset first algorithm based on the type information of the object of the historical transaction includes:
determining transaction parameters based on the transaction time of the transaction object and the position of the house type of the historical transaction;
for each type of the transaction object, acquiring a first number of times that the type expects to perform transactions within a first preset time;
for each type of the transaction object, acquiring a second number of times that the type expects to perform transactions within a second preset time;
the calculation formula of the historical trading user on the corresponding type of trading expected value beta is represented as follows:
β＝(γy+γm)*LBS；
wherein said LBS is said transaction parameter, γyIs the first order and gammamAnd gamma is a first preset parameter.
In an optional implementation, calculating, by using a preset second algorithm, a payment state of the historical transaction user for the corresponding type based on the payment information of the type information of the transaction object includes:
for each type of the transaction object, acquiring a first number of times of successful transactions of the type within a first preset time;
for each type of the transaction object, acquiring a second number of times of successful transactions of the type within a second preset time;
the calculation formula of the historical transaction user on the corresponding type of payment state alpha is represented as follows:
α＝δy+δm+M；
wherein the average transaction number of the M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter. The aforementioned communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also 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 hardware components.
Since the implementation manner and the beneficial effects of the problem solving of each device of the electronic device in the foregoing embodiment can be implemented by referring to each step in the embodiment shown in fig. 1, detailed working processes and beneficial effects of the electronic device provided by the embodiment of the present invention are not described herein again.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, which stores instructions that, when executed on a computer, cause the computer to execute the blockchain-based object transaction method according to any one of the above embodiments.
In yet another embodiment of the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the blockchain-based object trading method of any of the above embodiments.
As will be appreciated by one of skill in the art, the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application 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, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. 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.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
It is apparent that those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the embodiments of the present application and their equivalents, the embodiments of the present application are also intended to include such modifications and variations.

Claims (10)

1. A blockchain-based object trading method, the method comprising:
receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
analyzing the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain the target type of the transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
acquiring a corresponding object trading scheme stored in the block chain according to the target type of the trading object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
outputting a transaction data acquisition request according to the object transaction scheme, wherein the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme; receiving transaction data carrying transaction data corresponding to the object transaction scheme to obtain a response;
and executing the transaction aiming at the transaction object based on the transaction data and the current transaction user, and outputting an object transaction response carrying a transaction result.
2. The method of claim 1, wherein prior to analyzing the credit assessment values in the credit information and the revenue information based on the blockchain stored consolidated transaction information, the method further comprises:
collecting user information of a history transaction user with a history object transaction success; the user information comprises user basic information, credit information and income information of the historical transaction user;
encrypting the basic user information by adopting a preset encryption algorithm to generate a private key, encrypting the credit information and the income information to generate a public key, and storing the private key and the public key in a block chain;
determining comprehensive transaction information of each historical transaction user based on the type information of the transaction object of the historical transaction of each historical transaction user and corresponding payment information, and storing the comprehensive transaction information in a blockchain;
and clustering the comprehensive transaction information according to the credit information and income information in the public key of each historical transaction user to obtain an object transaction scheme, and storing the object transaction scheme in a block chain.
3. The method of claim 1 or 2, wherein the method further comprises:
acquiring credit change information of each transaction user in a stored abnormal transaction blacklist library and a stored lost-credit receipt library in real time;
and updating the credit evaluation value of the corresponding transaction user according to the credit change information.
4. The method of claim 2, wherein determining the aggregated transaction information for each historical transaction user based on the type information and corresponding payment information of the transaction object for the historical transaction of the each historical transaction user comprises:
acquiring the type information and the corresponding payment information of the transaction object of the historical transaction of each historical transaction user;
based on the type information of the transaction object of the historical transaction, calculating a transaction expected value of the historical transaction user to the corresponding type by adopting a preset first algorithm;
calculating the payment state of the historical transaction user to the corresponding type by adopting a preset second algorithm based on the payment information of the type information of the transaction object;
and obtaining the comprehensive transaction information of the historical transaction user according to the transaction expected value and the payment state.
5. The method of claim 4, wherein the payment status in the consolidated transaction information comprises a payment status for a successful transaction, the method further comprising:
and determining the successful transaction rate of the large transaction amount and the successful transaction rate of the small transaction amount according to the payment state of the successful transaction and a preset transaction amount threshold value.
6. The method of claim 4, wherein calculating expected values of the historical transaction user for corresponding types of transactions by using a preset first algorithm based on the type information of the object of the historical transaction comprises:
determining transaction parameters based on the transaction time of the transaction object and the position of the house type of the historical transaction;
for each type of the transaction object, acquiring a first number of times that the type expects to perform transactions within a first preset time;
for each type of the transaction object, acquiring a second number of times that the type expects to perform transactions within a second preset time;
the calculation formula of the historical trading user on the corresponding type of trading expected value beta is represented as follows:
β＝(γy+γm)*LBS；
wherein said LBS is said transaction parameter, γyIs the first order and gammamAnd gamma is a first preset parameter.
7. The method of claim 4, wherein calculating the payment status of the historical transaction user for the corresponding type based on the payment information of the type information of the transaction object by adopting a preset second algorithm comprises:
for each type of the transaction object, acquiring a first number of times of successful transactions of the type within a first preset time;
for each type of the transaction object, acquiring a second number of times of successful transactions of the type within a second preset time;
the calculation formula of the historical transaction user on the corresponding type of payment state alpha is represented as follows:
α＝δy+δm+M；
wherein the average transaction number of the M websites, deltayIs a first order, δmIs the second degree and δ is the second preset parameter.
8. An object trading device based on a blockchain, the device comprising: the system comprises a receiving unit, an analyzing unit, an obtaining unit, an output unit and a transaction unit;
the receiving unit is used for receiving an object transaction request, wherein the object transaction request comprises a transaction object and user information of a current transaction user; the user information comprises user basic information, credit information and income information;
the analysis unit is used for analyzing the credit evaluation value and the income information in the credit information based on the comprehensive transaction information stored in the block chain to obtain the target type of the transaction object meeting the payment range of the current transaction user and a preset expected value; the comprehensive transaction information comprises transaction expected values of historical transaction users to various types of transaction objects and payment states to the various corresponding types;
the acquisition unit is used for acquiring a corresponding object trading scheme stored in the block chain according to the target type of the trading object; the object trading scheme comprises a first type of trading object corresponding to different credit information and a second type of to-be-traded object corresponding to different income information;
the output unit is used for outputting a transaction data acquisition request according to the object transaction scheme, and the transaction data acquisition request is used for acquiring transaction data corresponding to the object transaction scheme;
the receiving unit is also used for receiving a transaction data acquisition response carrying the transaction data corresponding to the object transaction scheme;
the transaction unit is further used for executing the transaction aiming at the transaction object with the current transaction user based on the transaction data;
the output unit is also used for outputting the object transaction response carrying the transaction result.
9. An electronic device, characterized in that the electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1-7 when executing a program stored on a memory.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.
CN202011441826.3A 2020-12-08 2020-12-08 Object transaction method and device based on blockchain Active CN112488825B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011441826.3A CN112488825B (en) 2020-12-08 2020-12-08 Object transaction method and device based on blockchain

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011441826.3A CN112488825B (en) 2020-12-08 2020-12-08 Object transaction method and device based on blockchain

Publications (2)

Publication Number Publication Date
CN112488825A true CN112488825A (en) 2021-03-12
CN112488825B CN112488825B (en) 2024-05-31

Family

ID=74941698

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011441826.3A Active CN112488825B (en) 2020-12-08 2020-12-08 Object transaction method and device based on blockchain

Country Status (1)

Country Link
CN (1) CN112488825B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114881781A (en) * 2022-05-11 2022-08-09 孙继东 Safe transaction system and method based on block chain technology

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100106638A1 (en) * 2008-10-23 2010-04-29 Bank Of America Apparatus and methods for verifying a credit applicant's income that enhance a credit applicant's experience
US20100106583A1 (en) * 2007-04-17 2010-04-29 American Express Travel Related Services Company, Inc. System and method for rewarding positive consumer behavior using loyalty point advances
US20100106584A1 (en) * 2007-04-17 2010-04-29 American Express Travel Related Services Company, Inc. System and method for rewarding a consumer based upon positive behavior of a group
US20170323280A1 (en) * 2016-05-05 2017-11-09 Mastercard International Incorporated Method and system for facilitating installments in an electronic transaction
US20180101914A1 (en) * 2016-10-10 2018-04-12 Escolhalegal, Llc Systems, methods and machine-readable mediums for data management and payment processing
CN110084066A (en) * 2019-04-30 2019-08-02 杭州复杂美科技有限公司 A kind of shielded repayment method of privacy information and system, equipment and storage medium
EP3609124A1 (en) * 2018-08-08 2020-02-12 Panasonic Intellectual Property Corporation of America Data protection method, authentication server, data protection system, and data structure
CN111047323A (en) * 2020-01-04 2020-04-21 链农(深圳)信息科技有限公司 Credit transaction method and device based on block chain and hardware equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100106583A1 (en) * 2007-04-17 2010-04-29 American Express Travel Related Services Company, Inc. System and method for rewarding positive consumer behavior using loyalty point advances
US20100106584A1 (en) * 2007-04-17 2010-04-29 American Express Travel Related Services Company, Inc. System and method for rewarding a consumer based upon positive behavior of a group
US20100106638A1 (en) * 2008-10-23 2010-04-29 Bank Of America Apparatus and methods for verifying a credit applicant's income that enhance a credit applicant's experience
US20170323280A1 (en) * 2016-05-05 2017-11-09 Mastercard International Incorporated Method and system for facilitating installments in an electronic transaction
US20180101914A1 (en) * 2016-10-10 2018-04-12 Escolhalegal, Llc Systems, methods and machine-readable mediums for data management and payment processing
EP3609124A1 (en) * 2018-08-08 2020-02-12 Panasonic Intellectual Property Corporation of America Data protection method, authentication server, data protection system, and data structure
CN110084066A (en) * 2019-04-30 2019-08-02 杭州复杂美科技有限公司 A kind of shielded repayment method of privacy information and system, equipment and storage medium
CN111047323A (en) * 2020-01-04 2020-04-21 链农(深圳)信息科技有限公司 Credit transaction method and device based on block chain and hardware equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114881781A (en) * 2022-05-11 2022-08-09 孙继东 Safe transaction system and method based on block chain technology

Also Published As

Publication number Publication date
CN112488825B (en) 2024-05-31

Similar Documents

Publication Publication Date Title
CN109063985B (en) Business risk decision method and device
CN109118053B (en) Method and device for identifying card stealing risk transaction
CN104965844A (en) Information processing method and apparatus
CN111367965B (en) Target object determining method, device, electronic equipment and storage medium
CN112465627A (en) Financial loan auditing method and system based on block chain and machine learning
CN113240505A (en) Graph data processing method, device, equipment, storage medium and program product
CN111324370A (en) Method and device for carrying out risk processing on to-be-on-line small program
CN112150252A (en) Credit-based service processing method and device
CN112488825B (en) Object transaction method and device based on blockchain
CN114757497A (en) Technology trust-increasing method for science and technology enterprise, device, equipment and medium thereof
CN111652486B (en) Method and device for calculating service index
CN116432040B (en) Model training method, device and medium based on federal learning and electronic equipment
CN111461730B (en) Wind control method, device and system and electronic equipment
CN111028083B (en) Block chain wallet address evaluation method, device, system and storage medium
CN112330329A (en) Risk transaction data processing method, device, equipment and storage medium
CN110363648B (en) Multi-dimensional attribute verification method and device based on same geographic type and electronic equipment
CN112700237A (en) Payment management method and device, electronic equipment and storage medium
CN110930226A (en) Financial product recommendation method and device, electronic equipment and storage medium
CN105354740A (en) Method and apparatus for establishing personal credit information database
CN112560961B (en) Target identification method and device based on graph clustering, electronic equipment and storage medium
CN115689571A (en) Abnormal user behavior monitoring method, device, equipment and medium
CN115456684A (en) Information reach processing method and device, computer equipment and storage medium
CN113256401A (en) Method, device, server and storage medium for intercepting user outside pre-loan domain
CN111291019B (en) Similarity discrimination method and device for data model
CN110728583A (en) Method and system for identifying cheating claim behaviors

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