CN111950009A - Block chain-based affiliation data detection method and device - Google Patents
Block chain-based affiliation data detection method and device Download PDFInfo
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Abstract
The invention provides a method and a device for detecting affiliate data based on a block chain, and relates to the technical field of block chains. The affiliate data detection method comprises the following steps: respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining the business comparison rule of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rule to obtain a comparison result. The invention can improve the safety and reliability of the service supervision system.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a method and a device for detecting affiliate data based on a block chain.
Background
The fund sales business is developed from a traditional direct fund company sales mode and a bank sales mode to a payment mechanism and a professional sales agent mode, so that the development of the fund business is promoted to a certain extent, and meanwhile, difficulty is brought to business compliance supervision in a new mode.
At present, the compliance supervision of fund reimbursement business is mainly managed by a supervision organization authorizing a reimbursement organization to store a bank, and a system of the bank is responsible for butting a reimbursement organization and a system of a fund company, receiving and storing fund sale detail files, and checking the reimbursement organization detail and the fund company detail to complete supervision work. Along with the development of the fund affiliation field, fund companies and affiliation mechanisms are rapidly increased, the system butt joint work among banks, the fund companies and the affiliation mechanisms is more and more complicated, meanwhile, under the condition that a group exists in the business, the fund subsidiary company exists, the fund affiliation mechanism subsidiary company exists, and certain business supervision difficulty exists in the business. Once the system of the deposit and management bank has faults of abnormal service, data loss, loss and the like, the normal operation of the whole monitoring system is directly influenced, the service monitoring risk is promoted, and the safety and the reliability of the service monitoring system are influenced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method and a device for detecting commission data based on a block chain, which improve the safety and reliability of a service supervision system.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a method for detecting affiliation data based on a block chain, including:
respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data;
classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and determining business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results.
Further, before the receiving the transaction detail data uploaded by the affiliate and the fund company respectively, the method further comprises:
respectively carrying out signature checking treatment on the affiliate mechanism and the fund company;
and determining whether the affiliate mechanism and the fund company are legal users according to the signature checking result.
Further, after receiving the transaction detail data uploaded by the affiliate and the fund company respectively, the method further includes:
carrying out validity detection on the received transaction detail data;
correspondingly, the encrypting the received transaction detail data and storing the encrypted transaction detail data in the alliance chain includes:
and encrypting the transaction detail data with the validity detection result being valid, and storing the transaction detail data into the alliance chain through an consensus mechanism.
Further, after comparing the classified trade detail data corresponding to the affiliate and the fund company respectively according to the business comparison rule to obtain a comparison result, the method further includes:
judging whether the comparison result has the condition that the transaction detail data are inconsistent;
and if the transaction detail data are inconsistent, sending out an early warning instruction.
In a second aspect, the present invention provides an affiliate data detection apparatus based on a block chain, including:
the receiving unit is used for respectively receiving the transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
the system comprises an acquisition unit, a verification unit and a verification unit, wherein the acquisition unit is used for determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank and decrypting the acquired transaction detail data;
the classification unit is used for classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and the comparison unit is used for determining the business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain a comparison result.
Further, the method also comprises the following steps:
the system comprises a signature checking unit, a signature verification unit and a signature verification unit, wherein the signature checking unit is used for respectively checking signatures of a proxy mechanism and a fund company;
and the authentication unit is used for determining whether the affiliate mechanism and the fund company are legal users or not according to the signature checking result.
Further, the method also comprises the following steps:
the detection unit is used for detecting the validity of the received transaction detail data;
correspondingly, the receiving unit comprises:
and the receiving subunit is used for encrypting the transaction detail data with the valid detection result and storing the encrypted transaction detail data into the alliance chain through an consensus mechanism.
Further, the method also comprises the following steps:
the judging unit is used for judging whether the transaction detail data are inconsistent in the comparison result;
and the early warning unit is used for sending out an early warning instruction if the transaction detail data are inconsistent.
In a third aspect, the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the block chain-based affiliate data detection method when executing the program.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the block chain based affiliate data detection method.
According to the technical scheme, the invention provides the method and the device for detecting the data of the affiliation based on the block chain, which are characterized in that the method and the device respectively receive the transaction detail data uploaded by the affiliation mechanism and the fund company, encrypt the received transaction detail data and store the encrypted transaction detail data in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results, so that the problem of single-point failure caused by a centralized deposit and management bank system can be avoided, the supervision risk management cost can be effectively reduced, and the safety and reliability of a business supervision system are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first flowchart of an affiliate data detection method based on a block chain according to an embodiment of the present invention.
Fig. 2 is a second flowchart of the affiliate data detection method based on a block chain in the embodiment of the present invention.
Fig. 3 is a third flow chart of the affiliate data detection method based on the block chain in the embodiment of the present invention.
Fig. 4 is a fourth flowchart illustrating a method for detecting affiliate data based on a block chain according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a system applying a blocking chain-based affiliate data detection method in an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an affiliate data detection apparatus based on a block chain in an embodiment of the present invention.
Fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an embodiment of a block chain-based affiliation data detection method, which specifically includes the following contents in reference to fig. 1:
s101: respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
s102: determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data;
s103: classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
s104: and determining business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results.
As can be seen from the above description, in the method for detecting affiliation data based on a blockchain according to the embodiment of the present invention, the transaction detail data uploaded by the affiliate and the fund company are respectively received, and the received transaction detail data is encrypted and then stored in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results, so that the problem of single-point failure caused by a centralized deposit and management bank system can be avoided, the supervision risk management cost can be effectively reduced, and the safety and reliability of a business supervision system are improved.
In an embodiment of the present invention, referring to fig. 2, before step S101 of the method for detecting affiliate data based on blockchain, the following contents are specifically included:
s105: respectively carrying out signature checking treatment on the affiliate mechanism and the fund company;
s106: and determining whether the affiliate mechanism and the fund company are legal users according to the signature checking result.
In an embodiment of the present invention, referring to fig. 3, after step S101 of the method for detecting affiliate data based on blockchain, the following contents are specifically included:
s107: carrying out validity detection on the received transaction detail data;
correspondingly, the step S101 of encrypting the received transaction detail data and storing the encrypted transaction detail data in the federation chain includes:
and encrypting the transaction detail data with the validity detection result being valid, and storing the transaction detail data into the alliance chain through an consensus mechanism.
In an embodiment of the present invention, referring to fig. 4, after step S104 of the method for detecting affiliate data based on blockchain, the following contents are specifically included:
s108: judging whether the comparison result has the condition that the transaction detail data are inconsistent;
s109: and if the transaction detail data are inconsistent, sending out an early warning instruction.
From the above description, it can be known that, by using the block chain technology, the compliance detection of the fund service data is efficiently performed in real time through the intelligent contract, the data encryption is performed through the asymmetric encryption algorithm, the execution of the detection service rule is performed through the intelligent contract, and finally, the detection result is stored in the alliance chain in a decentralized mode, so that the system construction cost of each organization is greatly reduced, and the fund service compliance detection efficiency and the supervision system stability are improved. The invention realizes the compliance detection of fund reimbursement service data and achieves the service target of risk monitoring in service affairs. The fund reimbursement service data detection platform based on the block chain technology realizes the following main aims
1. And detecting the compliance of the business data in real time, and discovering and informing the agency, the fund company, the deposit and management bank and the supervision agency at the first time.
2. The fund affiliation mechanism and the fund company can be conveniently and flexibly connected into the detection platform, and system butt joint with each supervision bank and the fund company is not needed in a traditional mode.
3. The service data is encrypted by adopting an asymmetric encryption mode and exists in a alliance chain by adopting a decentralized mode, so that data tampering is prevented.
4. The problem of single-point faults is solved, and the normal operation of the whole monitoring system is directly influenced once the system has the faults of abnormal service, data loss, loss and the like. The problem of single-point failure caused by a centralized system is avoided through a alliance chain, and the supervision risk management cost can be effectively reduced.
To further illustrate the present invention, the present invention provides a system applying a method for detecting affiliate data based on a block chain, which is shown in fig. 5 and specifically includes the following contents:
the system comprises a data acquisition device 1, a signature management device 2, a safety management device 3, an event construction device 4, a rule acquisition device 5, a rule operation device 6, a result notification device 7 and a data alarm device 8, wherein all devices or units cooperate with one another to jointly realize the functions of compliance detection and risk monitoring of fund sales service data.
The data acquisition device 1: a block chain technology is used for building a alliance chain, real-time collection, encryption and storage of uploaded event data of a commission agency and a fund company are achieved through a data collection server, the agency uses a digital signature technology to sign before uploading the data, a data collection device uses a signature verification module in a signature management device to conduct signature verification operation on the agency, and the agency is guaranteed to be a legal user. And carrying out validity detection and consensus on the uploaded data, encrypting the data by adopting an asymmetric key algorithm, and storing the data in a alliance chain by using a decentralized mode to ensure the safety of the data. The event data mainly comprises business event data such as fund sale detail data of a commission agency, fund sale detail data of a fund company, information of each service unit and the like.
Signature management apparatus 2: the system comprises an organization signature checking module and a data signature integrity checking module. The agency signature verification module is responsible for verifying the agency identity by using the agency signature secret key. The data signature integrity checking module is used for carrying out integrity checking on the data when the bank requests the fund data, and preventing the data from being tampered.
The security management device 3: the safety management device comprises data encryption and data decryption. The data encryption is responsible for encrypting the fund data uploaded by the organization. The data decryption is responsible for decrypting fund data uploaded by the organization. And the data encryption module is used for encrypting data after the data are uploaded by the fund company and the affiliate and storing the data in the alliance chain. And the data decryption module is responsible for decrypting the encrypted data after the bank acquires the uploaded data.
The event construction device 4: according to the event data in the data acquisition device 1, the event structure of different types of mechanisms and different types of event data is realized through an intelligent contract, the mechanism types comprise fund affiliation mechanisms and fund companies, and the event types comprise data ready detection events, data extraction events, data score checking events, data total score checking events and the like.
The rule acquisition means 5: through the event type and the mechanism type in the event construction device 4, the corresponding business rules are obtained from the business rule engine library, not all events need to be compared with the business rules in the business rule engine library, otherwise, the business rule detection is influenced by the increase of the business rules.
The rule running device 6: the rules acquired in the rule acquisition means 5 are executed for the business events in the event construction means 4 by means of smart contracts. Before executing the business rules, the filtering rules (e.g., removing invalid data, etc.) need to be executed first, and then the business rules are executed after the filtering rules are passed. And after the business rule detection is executed, comparing the execution result with an expected result in the business rule.
The result notification means 7: and for the output comparison result in the rule running device 6, a data encryption module in the safety management device is adopted for encryption processing, the result is notified to all member organizations through a consensus mechanism, and the comparison result is stored in a alliance chain.
Data alarm device 8: after the business event passes the business rule detection, the detection result is inconsistent, the relevant organization needs to be informed to correct data errors, and the data needs to be sent again for detection, and for the event which is finally detected to fail, the short message alarm and the mail alarm can be completed through the data alarm device 6, and the supervision department is informed to process the abnormal business event.
The system realizes the encryption storage, real-time detection and early warning of fund sales service data. Specifically, the data acquisition device 1 is relatively independent, each participating institution uploads all fund sales data (such as customer fund purchase, fund redemption, dividend, and the like) of the day through a federation chain, after encryption, the data is stored in the whole federation chain in a decentralized manner through a consensus mechanism, the event construction device 4 is responsible for acquiring data messages from the federation chain in real time and decrypting the data, a rule event is constructed according to an event type and an institution type, the rule acquisition device 5 is responsible for acquiring a detection business rule of the business event, the rule operation device 6 is a core device of the whole system, and is responsible for detecting the business event according to the business rule through an intelligent contract, comparing the business event with an expected result, encrypting the result, storing the result through the consensus mechanism, the result notification device 7 is responsible for storing the event detection result in the federation chain for persistence, the event alarm device 8 is responsible for alarm processing of inconsistent detection of the business events and timely processing through related departments.
An embodiment of the present invention provides a specific implementation manner of a block chain-based affiliate data detection apparatus capable of implementing all contents in the block chain-based affiliate data detection method, and referring to fig. 6, the block chain-based affiliate data detection apparatus specifically includes the following contents:
the receiving unit 10 is configured to receive the transaction detail data uploaded by the affiliate and the fund company, encrypt the received transaction detail data, and store the encrypted transaction detail data in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
the acquiring unit 20 is configured to determine a system of a target deposit and management bank, acquire transaction detail data corresponding to each of the affiliate and the fund company from the system of the target deposit and management bank, and decrypt the acquired transaction detail data;
the classification unit 30 is configured to classify the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and the comparison unit 40 is used for determining the business comparison rule of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rule to obtain a comparison result.
Further, the method also comprises the following steps:
the system comprises a signature checking unit, a signature verification unit and a signature verification unit, wherein the signature checking unit is used for respectively checking signatures of a proxy mechanism and a fund company;
and the authentication unit is used for determining whether the affiliate mechanism and the fund company are legal users or not according to the signature checking result.
Further, the method also comprises the following steps:
the detection unit is used for detecting the validity of the received transaction detail data;
correspondingly, the receiving unit comprises:
and the receiving subunit is used for encrypting the transaction detail data with the valid detection result and storing the encrypted transaction detail data into the alliance chain through an consensus mechanism.
Further, the method also comprises the following steps:
the judging unit is used for judging whether the transaction detail data are inconsistent in the comparison result;
and the early warning unit is used for sending out an early warning instruction if the transaction detail data are inconsistent.
The embodiment of the device for detecting affiliate data based on a block chain according to the present invention may be specifically configured to execute the processing procedure of the embodiment of the method for detecting affiliate data based on a block chain in the above embodiment, and the functions of the device are not described herein again, and reference may be made to the detailed description of the embodiment of the method.
As can be seen from the above description, the device for detecting affiliate data based on a blockchain according to the embodiment of the present invention respectively receives the transaction detail data uploaded by the affiliate and the fund company, encrypts the received transaction detail data, and stores the encrypted transaction detail data in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results, so that the problem of single-point failure caused by a centralized deposit and management bank system can be avoided, the supervision risk management cost can be effectively reduced, and the safety and reliability of a business supervision system are improved.
The application provides an embodiment of an electronic device for implementing all or part of contents in the method for detecting affiliate data based on a blockchain, where the electronic device specifically includes the following contents:
a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between related devices; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the electronic device may be implemented with reference to the embodiment for implementing the method for detecting affiliate data based on a blockchain and the embodiment for implementing the device for detecting affiliate data based on a blockchain in the embodiments, and the contents thereof are incorporated herein, and repeated details are not repeated herein.
Fig. 7 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 7, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 7 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
In one embodiment, the blockchain-based outlets detection function may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:
respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain;
the alliance chain is a block chain formed by a plurality of systems of the depository banks;
determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data;
classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and determining business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results.
As can be seen from the above description, in the electronic device provided in the embodiment of the present application, the transaction detail data uploaded by the affiliate and the fund company are respectively received, and the received transaction detail data is encrypted and then stored in the federation chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results, so that the problem of single-point failure caused by a centralized deposit and management bank system can be avoided, the supervision risk management cost can be effectively reduced, and the safety and reliability of a business supervision system are improved.
In another embodiment, the apparatus for detecting the eligibility data based on the blockchain may be configured separately from the central processor 9100, for example, the apparatus for detecting the eligibility data based on the blockchain may be configured as a chip connected to the central processor 9100, and the eligibility data detection function based on the blockchain may be implemented by the control of the central processor.
As shown in fig. 7, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 7; further, the electronic device 9600 may further include components not shown in fig. 7, which may be referred to in the art.
As shown in fig. 7, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.
The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.
The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.
The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.
An embodiment of the present invention further provides a computer-readable storage medium capable of implementing all the steps in the method for detecting affiliate data based on a blockchain in the foregoing embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the method for detecting affiliate data based on a blockchain in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:
respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain;
the alliance chain is a block chain formed by a plurality of systems of the depository banks;
determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data;
classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results.
As can be seen from the above description, the computer-readable storage medium provided in the embodiment of the present invention respectively receives the transaction detail data uploaded by the affiliate and the fund company, encrypts the received transaction detail data, and stores the encrypted transaction detail data in the federation chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks; determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data; classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule; and determining business comparison rules of each classification, and comparing the classified trade detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results, so that the problem of single-point failure caused by a centralized deposit and management bank system can be avoided, the supervision risk management cost can be effectively reduced, and the safety and reliability of a business supervision system are improved.
Although the present invention provides method steps as described in the examples or flowcharts, more or fewer steps may be included based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, apparatus (system) or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A method for detecting affiliation data based on a block chain is characterized by comprising the following steps:
respectively receiving transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in a alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank, and decrypting the acquired transaction detail data;
classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and determining business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain comparison results.
2. The blockchain-based affiliate data detection method of claim 1, further comprising, prior to the receiving transaction detail data uploaded by each of the affiliate and the fund company, respectively:
respectively carrying out signature checking treatment on the affiliate mechanism and the fund company;
and determining whether the affiliate mechanism and the fund company are legal users according to the signature checking result.
3. The blockchain-based affiliate data detection method of claim 1, further comprising, after the receiving transaction detail data uploaded by each of the affiliate and the fund company, respectively:
carrying out validity detection on the received transaction detail data;
correspondingly, the encrypting the received transaction detail data and storing the encrypted transaction detail data in the alliance chain includes:
and encrypting the transaction detail data with the validity detection result being valid, and storing the transaction detail data into the alliance chain through an consensus mechanism.
4. The method according to claim 1, wherein after comparing the classified transaction detail data corresponding to the affiliate and the fund company according to the business comparison rule to obtain a comparison result, the method further comprises:
judging whether the comparison result has the condition that the transaction detail data are inconsistent;
and if the transaction detail data are inconsistent, sending out an early warning instruction.
5. An affiliate data detection device based on blockchains, comprising:
the receiving unit is used for respectively receiving the transaction detail data uploaded by the affiliate and the fund company, encrypting the received transaction detail data and storing the encrypted transaction detail data in the alliance chain; the alliance chain is a block chain formed by a plurality of systems of the depository banks;
the system comprises an acquisition unit, a verification unit and a verification unit, wherein the acquisition unit is used for determining a system of a target deposit and management bank, acquiring transaction detail data corresponding to a commission agency and a fund company from the system of the target deposit and management bank and decrypting the acquired transaction detail data;
the classification unit is used for classifying the acquired transaction detail data corresponding to the affiliate and the fund company according to a preset classification rule;
and the comparison unit is used for determining the business comparison rules of each classification, and comparing the classified trading detail data corresponding to the affiliate and the fund company according to the business comparison rules to obtain a comparison result.
6. The blockchain-based affiliate data detection device of claim 5, further comprising:
the system comprises a signature checking unit, a signature verification unit and a signature verification unit, wherein the signature checking unit is used for respectively checking signatures of a proxy mechanism and a fund company;
and the authentication unit is used for determining whether the affiliate mechanism and the fund company are legal users or not according to the signature checking result.
7. The blockchain-based affiliate data detection device of claim 5, further comprising:
the detection unit is used for detecting the validity of the received transaction detail data;
correspondingly, the receiving unit comprises:
and the receiving subunit is used for encrypting the transaction detail data with the valid detection result and storing the encrypted transaction detail data into the alliance chain through an consensus mechanism.
8. The blockchain-based affiliate data detection device of claim 5, further comprising:
the judging unit is used for judging whether the transaction detail data are inconsistent in the comparison result;
and the early warning unit is used for sending out an early warning instruction if the transaction detail data are inconsistent.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the blockchain-based affiliate data detection method of any one of claims 1 to 4 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for blockchain-based affiliate data detection according to any one of claims 1 to 4.
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