WO2021174778A1

WO2021174778A1 - Blockchain secure transaction method, computer device, and readable storage medium

Info

Publication number: WO2021174778A1
Application number: PCT/CN2020/111628
Authority: WO
Inventors: 孔令炜; 王健宗; 黄章成; 程宁
Original assignee: 平安科技（深圳）有限公司
Priority date: 2020-07-30
Filing date: 2020-08-27
Publication date: 2021-09-10
Also published as: CN111882308A

Abstract

A blockchain secure transaction method, comprising: collecting transaction request information of each node participating in a secure transaction (S101); recording the transaction request information, and verifying the validity of the transaction request information (S102); generating a transaction block according to the transaction request information, and packaging the transaction block into a block of a blockchain (S103); obtaining and verifying a bookkeeping right transferred by a bookkeeping right node (S104); broadcasting the attribution of the verified bookkeeping right in the block to each node in the transaction request information, so that the various nodes reach a consensus according to a preset consensus algorithm (S105); verifying the transaction request information by means of the bookkeeping right, and when the verification is successful, notifying each node to record the transaction request information, and synchronously updating account information of each node (S106). The blockchain secure transaction method can be used to solve problems in the existing technology such as prolonged transaction data confirmation times, tamperproof illegal information, poor security, and inadequate privacy.

Description

Block chain safe transaction method, computer equipment and readable storage medium

This application affirms the priority of the Chinese patent application with the application number 202010752626.3 and titled "Blockchain secure transaction method, computer equipment and readable storage medium" filed on July 30, 202, the entire content of which is incorporated herein by reference Applying.

Technical field

The embodiments of the present application relate to the field of blockchain technology, and in particular to a blockchain secure transaction method, computer equipment, and readable storage medium.

Background technique

Blockchain is a new application mode of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. At the current stage, an industry based on blockchain technology has initially taken shape, but the blockchain still faces many technical bottlenecks. Bitcoin is a well-known application based on blockchain technology, which has the advantages of decentralization, collective maintenance, information that cannot be tampered with, and no trust system. However, the inventor found that Bitcoin also embodies the shortcomings and challenges of blockchain technology in its application, which are mainly reflected in:

(1) In the context of a high degree of decentralization, all participants are encouraged to keep complete backups, which is a burden for ordinary users. At the same time, this model makes all transaction records transparent to all participants;

(2) The result of the transaction needs to be checked by all nodes, and the data confirmation will be extended;

(3) The Hash+ asymmetric encryption method is adopted. With the development of future computing capabilities, the asymmetric encryption method is crackable;

(4) The idea of decentralization of the blockchain has diluted the national supervision, and due to the immutability of blockchain information, illegal information will be permanently stored after being written.

Summary of the invention

The purpose of the embodiments of the present application is to provide a blockchain secure transaction method, which can solve the above-mentioned problems in the prior art.

In order to solve the above technical problems, the implementation of the present application provides a blockchain secure transaction method, which is applied to computer equipment, including: collecting transaction request information of each node participating in a secure transaction, and the nodes participating in the secure transaction Including seller nodes, buyer nodes, and billing rights nodes; record the transaction request information, verify the legitimacy of the transaction request information; generate transaction blocks based on the transaction request information, and package the transaction blocks into the blockchain Block; obtain and verify the accounting right transferred by the accounting right node; broadcast to each node in the transaction request information the ownership of the accounting right after verification in the block, so that all Each node reaches a consensus according to a preset consensus algorithm; the transaction request information is verified through the accounting right, and when the verification is successful, each node is notified to record the transaction request information, and the account information of each node is updated synchronously.

The implementation of this application also provides a blockchain secure transaction system, including:

The collection module is used to collect transaction request information of each node participating in a secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

The recording module is used to record the transaction request information and verify the legality of the transaction request information;

The packaging module is used to generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

The issuing module is used to obtain and verify the bookkeeping right transferred by the bookkeeping right node, and when the bookkeeping right is verified to be qualified, issue a reward to the bookkeeping right node;

A broadcasting module, configured to broadcast to each node in the transaction request information the attribution status of the accounting right after verification in the block, so that each node can reach a consensus mechanism;

The synchronization module is used to verify the transaction request information through the accounting right, and when the verification is successful, notify each node to record the transaction request information, and synchronize the account information of each node.

The embodiment of the present application also provides a computer device that includes a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. The computer-readable instructions When executed by the processor, the following steps are implemented:

Collect transaction request information of each node participating in a secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

Record the transaction request information and verify the legitimacy of the transaction request information;

Generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

Obtain and verify the bookkeeping right forwarded by the bookkeeping right node;

Broadcast to each node in the transaction request information the attribution status of the bookkeeping right after verification in the block, so that each node reaches a consensus according to a preset consensus algorithm;

The transaction request information is verified through the accounting right, and when the verification is successful, each node is notified to record the transaction request information, and the account information of each node is updated synchronously.

The embodiment of the present application also provides a computer-readable storage medium having computer-readable instructions stored in the computer-readable storage medium, and the computer-readable instructions may be executed by at least one processor to enable the At least one processor performs the following steps:

The blockchain secure transaction method proposed in the implementation of this application enables the federated learning to be combined with the blockchain in the secure transaction process, and all transaction records are recorded through a third-party trusted node. The node where each participant is located no longer records all transactions. Transaction records enhance privacy; third-party trusted nodes will verify transaction information to solve possible asymmetric encryption crackability issues; third-party trusted nodes will confirm and verify the accounting rights, which reduces the number of secure transactions , After the participating nodes compete for the accounting right and after the accounting is completed, the confirmation delay required for the synchronization verification between each other; the legality verification of the transaction request information is added, so that under certain circumstances, the regulatory agency is allowed Intervention solves the problem that cannot be supervised in the existing technology.

Description of the drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings, and these exemplified descriptions do not constitute a limitation on the embodiments.

Fig. 1 is a schematic flowchart of a blockchain secure transaction method according to the first embodiment of the present application;

FIG. 2 is a schematic diagram of each node in the blockchain secure transaction process in the first embodiment of the present application;

Fig. 3 is a block diagram of a block chain secure transaction system according to the second embodiment of the present application;

Fig. 4 is a schematic diagram of the hardware architecture of a computer device suitable for a blockchain secure transaction method according to the present application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the various embodiments of the present application will be described in detail below with reference to the accompanying drawings. However, those of ordinary skill in the art can understand that in each embodiment of the present application, many technical details are proposed in order to enable readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solution claimed in this application can be realized.

When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary implementation manners do not represent all implementation manners consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the application as detailed in the appended claims. It should be understood that the specific implementations described here are only used to explain the application, and are not used to limit the application. Based on the implementation manners in this application, all other implementation manners obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

The terms used in the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit the present disclosure. The singular forms of "a", "said" and "the" used in the present disclosure and appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and/or" as used herein refers to and includes any or all possible combinations of one or more associated listed items.

It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determination".

In the description of this application, it should be understood that the numerical label before the steps does not identify the sequence of execution of the steps, but is only used to facilitate the description of the application and distinguish each step, and therefore cannot be construed as a limitation of the application.

The schematic flow diagram of the block chain secure transaction method in this embodiment is shown in FIG. 1, and the method is applied to computer equipment.

In this embodiment, according to different requirements, the execution order of the steps in the flowchart shown in FIG. 1 can be changed, and some steps can be omitted.

Step S101: Collect transaction request information of each node participating in a secure transaction. The participating nodes in the secure transaction include a seller node, a buyer node, and an accounting authority node.

In this embodiment, when performing blockchain security transactions, each participant of the blockchain is regarded as a node. The information between nodes is not directly communicated to ensure the privacy of each node. Figure 2 is a schematic diagram of each node in the blockchain secure transaction process in the first embodiment of the application.

In this embodiment, the seller in the blockchain transaction is the seller node, the buyer in the blockchain transaction is the buyer node, and the endpoint obtained by the accounting right in the blockchain transaction is the accounting right node. That is, in this embodiment, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes. In this embodiment, compared to the buyer and seller in the transaction process, the computer device serves as a third-party trust node or a third-party organization outside the buyer and seller. In the following, in order to clearly illustrate the technical solution of the present application, the computer equipment is described in the form of a third-party trusted node.

In this embodiment, the seller node, the buyer node, and the bookkeeping right node cannot directly exchange information, and can only exchange information with a third-party trusted node. It also includes: performing federated learning for each node participating in the secure transaction in the transaction process.

Federated learning Learning) is an emerging basic artificial intelligence technology. Its design goal is to ensure information security during big data exchange, protect terminal data and personal data privacy, and ensure legal compliance. High-efficiency machine learning is carried out between the points. Through federated learning, the interactive data is encrypted during model training and inference, so as to realize the efficient and accurate common use of their respective data.

In this way, during the secure transaction process, the node where each participant is located no longer records all transaction records, which can enhance the privacy of the participants. Therefore, when a blockchain security transaction occurs, the third-party trust node obtains the transaction request information sent by each node. In addition, in this embodiment, the transaction request information between each node and the third-party trusted node is transmitted through semi-homomorphic encryption.

Specifically, performing federated learning for each node participating in the secure transaction during the transaction process includes:

The computer device is used as a third-party trust node, and a federated learning model is established between the seller node, the buyer node, the accounting right node, and the third-party trust node to obtain the information in the secure transaction. The seller node, the buyer node, and the transaction result of the bookkeeping right node, wherein the seller node, the buyer node, and the bookkeeping right node respectively pass the result of the secure transaction through the federated learning The model is transmitted to the third-party trust node; and the transaction results of the seller node, the buyer node, and the accounting right node are respectively transmitted to each node through the federated learning model.

In this way, the seller nodes, buyer nodes, and bookkeeping power nodes participating in the transaction cannot directly obtain the transaction results from each other, and can only obtain the transaction results through the third-party trust node through the jointly established federated learning model. On the one hand, it solves the security problem and reduces In order to avoid the confirmation delay of synchronization verification, on the other hand, when the supervision department needs supervision, the supervision can be completed directly through the third-party trust node.

Step S102: Record the transaction request information, and verify the legality of the transaction request information.

In this embodiment, the third-party trust node records the detailed transaction information of each transaction in the form of a block in the blockchain, and the transaction request information includes at least the transfer-in party, the transfer-out party, the transaction amount and the transfer-out party’s numbers sign.

Specifically, the transaction request information also includes seller node information, buyer node information, and billing rights node information. The third-party trust node further verifies the validity of the buyer node information, the seller node information, and the transaction request information. Among them, the buyer node information includes at least the account balance of the buyer node. In this embodiment, the verification of the legality of the transaction request information by the third-party trust node is mainly to verify whether illegal information is hidden in the transaction information through a preset rule. The third-party trust node judges whether the preset illegal information is hidden in the transaction information. When the illegal information is hidden in the transaction information, the transaction request information is illegal. When the illegal information is not hidden in the transaction information, the transaction request The information is legal. When illegal information is encoded in the transaction request information during the transaction, the third-party trust node has the right to remove the participant node.

In view of this, from a regulatory perspective, the existence of a third-party trust node can verify whether the transaction request information contains illegal information before the transaction occurs. Therefore, compared with the prior art, when necessary, special circumstances are allowed in this application. Under supervision of the participants, the problem that supervision cannot be carried out in the existing technology is solved.

Step S103: Generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain.

In this embodiment, the block in the blockchain at least includes a block header, transaction details, transaction counter, and block size. The third-party trust node collects the transaction request information of each node, generates a transaction block and packs it into the block.

Step S104: Obtain and verify the accounting right transferred by the accounting right node.

In this embodiment, because the information between the various nodes is not interoperable, when the accounting right node obtains the accounting right, the accounting right is transferred to the third-party trusted node, and the third-party trusted node verifies the accounting right according to preset rules Whether it is qualified or not, when the bookkeeping right is verified successfully, a reward is sent to the bookkeeping right node.

For example, taking Bitcoin as an example, the reward is mainly divided into two parts. One is the system reward after nodes compete for the right to keep accounts. Starting from 2008, the initial reward is 50 BTC, which will decrease at a rate of 0.5 every four years; the second is the fee paid by each exchange; the fee is due to the slow transaction speed of Bitcoin, and you can take the initiative to pay more The handling fee to get priority trading rights. In addition, in Bitcoin, the accounting right is the value after hashing by calculating a string consisting of the block version number, the hash value of the previous block, the merkle tree, the utc time, the difficulty target, and a random number. Compare this value with the value corresponding to the target difficulty, and the value less than the target difficulty is considered as qualified.

Step S105: Broadcast the ownership of the accounting rights in the block to each node in the transaction request information, so that each node can reach a consensus according to a preset consensus algorithm.

In the blockchain technology, the consensus mechanism is the certificate to obtain the accounting right. Therefore, when the third-party trust node obtains the accounting right handed over by the accounting right node and is verified as qualified, it will request information from each node in the transaction (Seller node, buyer node, bookkeeping right node) broadcast the ownership of the bookkeeping right in the block to reach a consensus. The consensus mechanism is essentially a consensus algorithm. In the prior art, commonly used consensus algorithms include proof of work (POW), proof of stake (Proof of Stake, PoS), and authorized equity proof mechanism (Delegated Proof of Stake, DPoS), in this embodiment, the consensus algorithm is not limited.

Step S106: Verify the transaction request information through the accounting right, and when the verification is successful, notify each node to record the transaction information, and update the account information synchronously.

After the consensus mechanism is reached, the third-party trusted node obtains the accounting right, the third-party trusted node verifies the transaction request information through the accounting right, and when the verification succeeds, notifies each node to record the transaction information and synchronize the account information. For example, the third-party trust node notifies the seller node and the buyer node to confirm that the transaction is successful, and notifies the seller node and the buyer node to synchronize the account balance. Each node participating in a secure transaction enters the next competition for the right to keep accounts after synchronizing account information. The corresponding summary information is obtained based on the transaction information. Specifically, the summary information is obtained by hashing the transaction information, for example, obtained by processing the sha256s algorithm. Uploading summary information to the blockchain can ensure its security and fairness and transparency to users. The user equipment can download the summary information from the blockchain to verify whether the transaction information has been tampered with. The blockchain referred to in this example is a new application mode of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information for verification. The validity of the information (anti-counterfeiting) and the generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

In this embodiment, the verification and verification of the accounting right is performed by a third-party trusted node, which reduces the need for synchronization verification between the participating nodes after competing for the accounting right and after the accounting is completed in a secure transaction. The confirmation delay.

In addition, in this embodiment, federated learning is adopted, and the transaction information is verified by a third-party trusted node, replacing the traditional Hash+asymmetric encryption transmission method, which can solve the possible crackability of asymmetric encryption.

Compared with the prior art, the blockchain secure transaction method proposed in the implementation of this application enables the federated learning to be combined with the blockchain in the secure transaction process, and all transaction records are recorded through a third-party trusted node. The node where it is located no longer records all transaction records, which enhances privacy; a third-party trusted node verifies transaction information to solve possible asymmetric encryption crackability issues; the third-party trusted node confirms and verifies the accounting rights , Which reduces the confirmation delay required for synchronization verification between the participating nodes after they compete for the accounting right and after the accounting is completed in a secure transaction; add the legality verification of the transaction request information, so that the Under the circumstance, the regulatory agencies are allowed to intervene, which solves the problem that the existing technology cannot be supervised.

The division of steps in the various methods above is only for clarity of description, and does not limit the order in which the steps are performed. In addition, it can be combined into one step or some steps can be split into multiple steps, as long as the same steps are included. The logical relationships are all within the scope of protection of this patent; the addition of insignificant modifications to the algorithm or process or the introduction of insignificant designs without changing the core design of the algorithm and process are all within the scope of protection of this patent.

In order to facilitate the understanding of this application, a specific example is provided below:

The blockchain secure transaction method provided in this example is based on the establishment of a federated learning model between the participants of the blockchain and computer equipment. Each participant of the blockchain is connected to the federated learning model as a node, As a third-party trust institution, computer equipment serves as a third-party trust node. The information between nodes is not directly exchanged to ensure privacy. And each node only saves its own wallet and related transaction information. The node's information is used to encrypt and transmit transaction information and has been used by the federated learning third-party trust node to verify its validity. The third-party trust node is used to record the transaction information of all participants, verify the validity and legality of the transaction, and notify both parties of the transaction after the transaction is completed and store it in the transaction record. The blockchain participants in the federated learning model must abide by several guidelines: First, when the amount of memory in the account of the node's participant changes, the third-party trust node in the federated learning model must be notified; second, the node's participation The party is not allowed to encode illegal information into the transaction information during the transaction, otherwise the third-party trust node has the right to remove the participant; third, under special circumstances (for example, under the policy of the regulatory authority), supervision is allowed.

The process of the blockchain secure transaction method is as follows:

S0. After all nodes have completed the competition for the bookkeeping right, a federated learning model is established based on the seller node, the buyer node, the bookkeeping right node and the third-party trust node.

S1: The seller node transmits the transaction information to a third-party trust node through semi-homomorphic encryption, and the third-party trust node records the transaction information and verifies the seller's node account balance and the legitimacy of the transaction information.

Among them, the third-party trust node records the detailed information of each transaction in the form of blocks in the blockchain (for example, the transferor and the transferor, the transfer amount, the digital signature of the transferor), and the third-party trust node Verifying the legitimacy of the transaction request information is mainly by verifying whether illegal information is hidden in the transaction information. S2: Generate a transaction block according to the transaction information, and collect the transaction information of multiple nodes and pack it into a block of the blockchain.

S3. The bookkeeping right node transfers the right to a third-party trust node, and the third-party trust node verifies whether the bookkeeping right is qualified. If it is verified that the bookkeeping right is qualified, the bookkeeping right node is rewarded.

S4, the third-party trust node broadcasts the ownership of the bookkeeping rights of the block to the seller node, the buyer node, and the bookkeeping node, and reaches a consensus through a preset consensus algorithm;

S5: After the third-party trust node obtains the bookkeeping right, it verifies the transaction information through the bookkeeping right, and after verifying the transaction is successful, notifies the seller node, the buyer node, and the bookkeeping right node to record the transaction information and update each Account balance. Wherein, the third-party trust node separately obtains the transaction results of the seller node, the buyer node, and the bookkeeping right node in the secure transaction, wherein the seller node, the buyer node, and the bookkeeping right The nodes respectively transmit the results of the secure transaction to the third-party trust node through the federated learning model; and send the transaction results of the seller node, the buyer node, and the bookkeeping node through the federated learning The model is transmitted to each node separately.

In this embodiment, the federated learning is combined with the blockchain to enhance privacy and provide a foundation for the application of the blockchain in other fields. The blockchain secure transaction method proposed in the implementation of this application makes the process of secure transactions , Combine federated learning and blockchain, record all transaction records through a third-party trusted node, and each participant’s node no longer records all transaction records, which enhances privacy; the third-party trusted node verifies transaction information and resolves There may be problems with the crackability of asymmetric encryption; the verification and verification of the accounting right through a third-party trusted node reduces the number of participating nodes in a secure transaction after they compete for the accounting right and after the accounting is completed. The confirmation time delay required for synchronization verification; adding the verification of the legality of the transaction request information allows the supervision agency to intervene under certain circumstances, which solves the problem that supervision cannot be carried out in the prior art.

The second embodiment of the present application relates to a block diagram of a blockchain secure transaction system. The blockchain secure transaction system can be divided into one or more program modules, one or more program modules are stored in a storage medium, and It is executed by one or more processors to complete the embodiments of the present application. The program module referred to in the embodiment of the present application refers to a series of computer-readable instruction segments that can complete specific functions. The following description will specifically introduce the function of each program module in this embodiment.

As shown in FIG. 3, the blockchain secure transaction system 300 may include a collection module 310, a recording module 320, a packaging module 330, a distribution module 340, a broadcasting module 350, and a synchronization module 360, among which:

The collection module 310 is configured to collect transaction request information of various nodes participating in a secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

The recording module 320 is used to record the transaction request information and verify the legitimacy of the transaction request information;

The packaging module 330 is configured to generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

The issuing module 340 is configured to obtain and verify the bookkeeping right transferred by the bookkeeping right node, and when the bookkeeping right is verified to be qualified, issue a reward to the bookkeeping right node;

The broadcasting module 350 is configured to broadcast to each node in the transaction request information the attribution status of the accounting right after verification in the block, so that each node can reach a consensus mechanism;

The synchronization module 360 is configured to verify the transaction request information through the accounting right, and when the verification is successful, notify each node to record the transaction request information, and synchronize the account information of each node.

Preferably, the issuing module is further configured to: verify whether the bookkeeping right transferred by the bookkeeping right node is qualified according to a preset rule; when the bookkeeping right is qualified, issue a reward to the bookkeeping right node.

Preferably, the recording module is further configured to: determine whether preset illegal information is hidden in the transaction information; when the preset illegal information is hidden in the transaction information, verify that the transaction information is legal; If the preset illegal information is not hidden in the transaction information, it is verified that the transaction information is illegal.

Preferably, it further includes: a federated learning model establishment module, configured to: use the computer device as a third-party trust node; based on the seller node, the buyer node, the accounting right node, and the third-party trust node Establish a federated learning model; obtain the transaction results of the seller node, the buyer node, and the billing authority node in the secure transaction respectively, where the seller node, the buyer node, and the billing node The right node respectively transmits the result of the secure transaction to the third-party trust node through the federated learning model; and transmits the transaction result of the seller node, the buyer node, and the bookkeeping right node through the federation The learning models are transmitted to each other respectively.

The third embodiment of the present application relates to a computer device. As shown in FIG. 4, it is a schematic diagram of the hardware architecture of the computer device suitable for the blockchain secure transaction method of the present application.

In this embodiment, the computer device 400 is a device that can automatically perform numerical calculation and/or information processing in accordance with pre-set or stored instructions. For example, it can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server, or a rack server (including an independent server or a server cluster composed of multiple servers). As shown in FIG. 4, the computer device 400 at least includes but is not limited to: a memory 410, a processor 420, and a network interface 430 that can communicate with each other via a system bus. in:

The memory 410 includes at least one type of readable storage medium. The readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory ( SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disks, optical disks, etc. In some embodiments, the memory 410 may be an internal storage module of the computer device 400, such as a hard disk or memory of the computer device 400. In other embodiments, the memory 410 may also be an external storage device of the computer device 400, such as a plug-in hard disk equipped on the computer device 400, a smart memory card (Smart Media Card, referred to as SMC), Secure Digital (Secure Digital, abbreviated as SD) card, flash memory card (Flash Card) and so on. Of course, the memory 410 may also include both an internal storage module of the computer device 400 and an external storage device thereof. In this embodiment, the memory 410 is generally used to store the operating system and various application software installed in the computer device 400, such as the program code of the blockchain secure transaction method. In addition, the memory 410 may also be used to temporarily store various types of data that have been output or will be output.

In some embodiments, the processor 420 may be a central processing unit (Central Processing Unit, CPU for short), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor 420 is generally used to control the overall operation of the computer device 400, for example, to perform data interaction or communication-related control and processing with the computer device 400. In this embodiment, the processor 420 is configured to run program codes stored in the memory 410 or process data.

The network interface 430 may include a wireless network interface or a wired network interface, and the network interface 430 is generally used to establish a communication link between the computer device 400 and other computer devices. For example, the network interface 430 is used to connect the computer device 400 to an external terminal through a network, and to establish a data transmission channel and a communication link between the computer device 400 and the external terminal. The network can be an enterprise intranet (Intranet), the Internet (Internet), global mobile communication system (Global System of Mobile communication, GSM for short), Wideband Code Division Multiple Access (WCDMA for short), 4G network, 5G network, Bluetooth, Wi-Fi and other wireless or wired networks.

It should be pointed out that FIG. 4 only shows a computer device with components 410-430, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

In this embodiment, the blockchain secure transaction method stored in the memory 410 can also be divided into one or more program modules and executed by one or more processors (in this embodiment, the processor 420). To complete this application.

The memory 410 stores instructions that can be executed by the at least one processor 420, and the instructions are executed by the at least one processor 420, so that the at least one processor 420 can execute the following steps:

Compared with the prior art, the computer device proposed in the implementation of this application serves as a third-party trust node outside the buyer and seller in a secure transaction, so that in the secure transaction process, federated learning is combined with the blockchain, and the third-party trust node All transaction records are recorded. The node where each participant is located no longer records all transaction records, which strengthens privacy; third-party trusted nodes verify transaction information and solve possible asymmetric encryption crackability issues; through a third party The trusted node performs the confirmation verification of the accounting right, which reduces the confirmation delay required for the synchronization verification between the participating nodes after competing for the accounting right and after the accounting is completed in a secure transaction; join the transaction request The verification of the legality of information allows regulatory agencies to intervene under certain circumstances, which solves the problem of inability to conduct supervision in the prior art.

The embodiment of the present application also provides a computer-readable storage medium that stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the following steps are implemented:

In this embodiment, the computer-readable storage medium may be non-volatile or volatile. The readable storage medium includes flash memory, hard disk, multimedia card, card type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read only memory (ROM), electronic Erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disks, optical disks, etc. In some embodiments, the readable storage medium may be an internal storage unit of a computer device, such as a hard disk or memory of the computer device. In other embodiments, the readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (Smart Media Card, referred to as SMC), and a secure digital (Secure Digital) equipped on the computer device. Digital, abbreviated as SD) card, flash card (Flash Card), etc. Of course, the readable storage medium may also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the readable storage medium is generally used to store the operating system and various application software installed in the computer device, such as the program code of the data processing method based on the QUIC protocol stack in the embodiment. In addition, the readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

The serial numbers of the foregoing implementation manners of the present application are only for description, and do not represent the superiority or inferiority of the implementation manners.

Through the description of the above implementations, those skilled in the art can clearly understand that the above implementations can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to make a terminal device (which can be a mobile phone, a computer, a mobile terminal, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of this application.

The above are only the preferred embodiments of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of this application, or directly or indirectly used in other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims

A blockchain secure transaction method applied to computer equipment, wherein the method includes:

Collect transaction request information of each node participating in the secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

Record the transaction request information and verify the legitimacy of the transaction request information;

Generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

Obtain and verify the bookkeeping right forwarded by the bookkeeping right node;

Broadcast to each node in the transaction request information the attribution status of the bookkeeping right after verification in the block, so that each node reaches a consensus according to a preset consensus algorithm;

The transaction request information is verified through the accounting right, and when the verification is successful, each node is notified to record the transaction request information, and the account information of each node is updated synchronously.
The blockchain secure transaction method according to claim 1, wherein the verification of the accounting right transferred by the accounting right node comprises:

Verifying whether the bookkeeping right transferred by the bookkeeping right node is qualified according to preset rules;

When the bookkeeping right is qualified, a reward is issued to the bookkeeping right node.
The blockchain secure transaction method according to claim 1, wherein said verifying the legality of said transaction information comprises:

Determine whether preset illegal information is hidden in the transaction information;

When the preset illegal information is hidden in the transaction information, verify that the transaction information is legal;

When the preset illegal information is not hidden in the transaction information, it is verified that the transaction information is illegal.
The block chain secure transaction method according to claim 1, further comprising:

Using the computer device as a third-party trust node;

Establishing a federated learning model based on the seller node, the buyer node, the billing authority node, and the third-party trust node;

Obtain the transaction results of the seller node, the buyer node, and the billing authority node in the secure transaction, respectively, wherein the seller node, the buyer node, and the billing authority node separately The result of the transaction is transmitted to the third-party trust node through the federated learning model; and

The transaction results of the seller node, the buyer node, and the bookkeeping right node are respectively transmitted to each other through the federated learning model.
The block chain secure transaction method according to claim 1, further comprising:

The transaction request information is transmitted through semi-homomorphic encryption, and the transaction request information includes at least the transfer-in party, the transfer-out party, the transaction amount, and the digital signature of the transfer-out party.
A block chain secure transaction system, wherein the system includes:

The collection module is used to collect transaction request information of each node participating in a secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

The recording module is used to record the transaction request information and verify the legality of the transaction request information;

The packaging module is used to generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

Issuing module for obtaining and verifying the accounting right transferred by the accounting right node;

A broadcasting module, configured to broadcast to each node in the transaction request information the attribution status of the accounting right after verification in the block, so that each node can reach a consensus mechanism;

The synchronization module is used to verify the transaction request information through the accounting right, and when the verification is successful, notify each node to record the transaction request information, and synchronize the account information of each node.
The blockchain secure transaction system according to claim 6, wherein the issuing module is further used for:

Verifying whether the bookkeeping right transferred by the bookkeeping right node is qualified according to preset rules;

When the bookkeeping right is qualified, a reward is issued to the bookkeeping right node.
The blockchain secure transaction system according to claim 6, wherein the recording module is further used for:

Determine whether preset illegal information is hidden in the transaction information;

When the preset illegal information is hidden in the transaction information, verify that the transaction information is legal;

When the preset illegal information is not hidden in the transaction information, it is verified that the transaction information is illegal.
The blockchain secure transaction system according to claim 6, further comprising:

The federated learning model building module is used to:

Using the computer device as a third-party trust node;

Establishing a federated learning model based on the seller node, the buyer node, the billing authority node, and the third-party trust node;

Obtain the transaction results of the seller node, the buyer node, and the billing authority node in the secure transaction, respectively, wherein the seller node, the buyer node, and the billing authority node separately The result of the transaction is transmitted to the third-party trust node through the federated learning model; and

The transaction results of the seller node, the buyer node, and the bookkeeping right node are respectively transmitted to each other through the federated learning model.
The blockchain secure transaction system according to claim 6, wherein the synchronization module is also used for:

The transaction request information is transmitted through semi-homomorphic encryption, and the transaction request information includes at least the transfer-in party, the transfer-out party, the transaction amount, and the digital signature of the transfer-out party.
A computer device, wherein the computer device includes a memory, a processor, and computer-readable instructions stored in the memory and capable of running on the processor, and the computer-readable instructions are implemented when the processor is executed The following steps:

Collect transaction request information of each node participating in the secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

Record the transaction request information and verify the legitimacy of the transaction request information;

Generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

Obtain and verify the bookkeeping right forwarded by the bookkeeping right node;

Broadcast to each node in the transaction request information the attribution status of the bookkeeping right after verification in the block, so that each node reaches a consensus according to a preset consensus algorithm;

The transaction request information is verified through the accounting right, and when the verification is successful, each node is notified to record the transaction request information, and the account information of each node is updated synchronously.
The computer device according to claim 11, wherein the computer-readable instructions further implement the following steps when being executed by the processor:

Verifying whether the bookkeeping right transferred by the bookkeeping right node is qualified according to preset rules;

When the bookkeeping right is qualified, a reward is issued to the bookkeeping right node.
The computer device according to claim 11, wherein the computer-readable instructions further implement the following steps when being executed by the processor:

Determine whether preset illegal information is hidden in the transaction information;

When the preset illegal information is hidden in the transaction information, verify that the transaction information is legal;

When the preset illegal information is not hidden in the transaction information, it is verified that the transaction information is illegal.
The computer device according to claim 11, wherein the computer-readable instructions further implement the following steps when being executed by the processor:

Using the computer device as a third-party trust node;

Establishing a federated learning model based on the seller node, the buyer node, the billing authority node, and the third-party trust node;

Obtain the transaction results of the seller node, the buyer node, and the billing authority node in the secure transaction, respectively, wherein the seller node, the buyer node, and the billing authority node separately The result of the transaction is transmitted to the third-party trust node through the federated learning model; and

The transaction results of the seller node, the buyer node, and the bookkeeping right node are respectively transmitted to each other through the federated learning model.
The computer device according to claim 11, wherein the computer-readable instructions further implement the following steps when being executed by the processor:

The transaction request information is transmitted through semi-homomorphic encryption, and the transaction request information includes at least the transfer-in party, the transfer-out party, the transaction amount, and the digital signature of the transfer-out party.
A computer-readable storage medium, wherein computer-readable instructions are stored in the computer-readable storage medium, and the computer-readable instructions can be executed by at least one processor, so that the at least one processor executes the following step:

Collect transaction request information of each node participating in the secure transaction, the nodes participating in the secure transaction include seller nodes, buyer nodes, and billing rights nodes;

Record the transaction request information and verify the legitimacy of the transaction request information;

Generate a transaction block according to the transaction request information, and package the transaction block into a block of the blockchain;

Obtain and verify the bookkeeping right forwarded by the bookkeeping right node;

Broadcast to each node in the transaction request information the attribution status of the bookkeeping right after verification in the block, so that each node reaches a consensus according to a preset consensus algorithm;

The transaction request information is verified through the accounting right, and when the verification is successful, each node is notified to record the transaction request information, and the account information of each node is updated synchronously.
The computer-readable storage medium according to claim 16, wherein the computer-readable instructions are also executable by at least one processor, so that the at least one processor executes the following steps:

Verifying whether the bookkeeping right transferred by the bookkeeping right node is qualified according to preset rules;

When the bookkeeping right is qualified, a reward is issued to the bookkeeping right node.
The computer-readable storage medium according to claim 16, wherein the computer-readable instructions are also executable by at least one processor, so that the at least one processor executes the following steps:

Determine whether preset illegal information is hidden in the transaction information;

When the preset illegal information is hidden in the transaction information, verify that the transaction information is legal;

When the preset illegal information is not hidden in the transaction information, it is verified that the transaction information is illegal.
The computer-readable storage medium according to claim 16, wherein the computer-readable instructions are also executable by at least one processor, so that the at least one processor executes the following steps:

Using the computer device as a third-party trust node;

Establishing a federated learning model based on the seller node, the buyer node, the billing authority node, and the third-party trust node;

Obtain the transaction results of the seller node, the buyer node, and the billing authority node in the secure transaction, respectively, wherein the seller node, the buyer node, and the billing authority node separately The result of the transaction is transmitted to the third-party trust node through the federated learning model; and

The transaction results of the seller node, the buyer node, and the bookkeeping right node are respectively transmitted to each other through the federated learning model.
The computer-readable storage medium according to claim 16, wherein the computer-readable instructions are also executable by at least one processor, so that the at least one processor executes the following steps:

The transaction request information is transmitted through semi-homomorphic encryption, and the transaction request information includes at least the transfer-in party, the transfer-out party, the transaction amount, and the digital signature of the transfer-out party.