CN114626848B - Real-time transaction control system and method based on blockchain and big data platform - Google Patents
Real-time transaction control system and method based on blockchain and big data platform Download PDFInfo
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Abstract
The invention provides a real-time transaction control system and method based on a blockchain and a big data platform, wherein the system comprises: the block chain system is used for executing digital asset transaction and reporting transaction information to the big data platform in real time; the big data platform is used for storing the information of the transaction reported by the blockchain system into a data table or a data diagram, and rapidly evaluating whether the transaction passes or not when the transaction is currently carried out; immediately after evaluation, sending the evaluation decision to the blockchain system in real time; the blockchain system determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved or rejected, the block chain system immediately puts relevant information into the block, and the block chain system is commonly identified and then uplinked; if the final decision is to reject the transaction, automatically reporting the information to a regulatory agency; a storage system for storing transaction information and supervision information using a block-in-block mechanism or a conventional storage mechanism; and the network system is used for connecting the block chain system, the big data platform and the storage system.
Description
Technical Field
The invention belongs to the technical fields of blockchain digital asset transaction, big data and supervision science and technology, and particularly relates to a real-time transaction control system and a real-time transaction control method based on a blockchain and big data platform, which are required by a blockchain system for completing transaction and supervision flow.
Background
Traditional blockchain systems such as bitcoin or ethernet circumvent supervision, and superledgers also do not consider supervision mechanisms. However, blockchain systems must take into account regulations, and blockchain systems that are not or cannot be subsequently administered cannot be used, as per national legal requirements. However, the conventional financial system content supervision mechanism is attached to the conventional financial system and is executed in the background of the financial system by using technologies such as big data, artificial intelligence contracts and the like. Many times, daytime market transactions, and evening background systems engage in regulatory inspection, that is, many regulatory mechanisms are not performed in real time.
However, blockchain-based digital money and digital finance are 365/7/24 transactions, and real-time supervision is required, that is, supervision checking must be performed at transaction time, so that the new blockchain system performs supervision embedded in the protocol layer. This also represents a change in the way the blockchain works, which was previously the blockchain that can be traded, and which now requires supervision to complete the trade. Such a need clearly arises and is documented in the year 2020 face book digital stability coin version 2 white paper, which announces that "Travel rules" are to be complied with, and that embedded supervision mechanisms in the blockchain protocol layer, thus confirming that real-time supervision mechanisms are necessary, and also an infrastructure necessary for new digital economy. Moreover, doing embedded supervision at the blockchain protocol layer requires that supervision checks be done in a very short time, while supervision checks require that large amounts of data be processed. The embedded supervisory mechanism changes blockchain architecture and jobs, including transaction flow changes, data structure changes, and supersusion with large data platforms. The blockchain platform and the big data platform need to be matched seamlessly and synchronously on each transaction. However, since the large data platform needs to conduct a large amount of data analysis, the large data platform needs to conduct transaction verification while also needs to sort out the data preparation in real time for the ongoing transaction.
Some blockchain systems and big data platforms have been designed to interact with each other, but most of them work independently, exchange information with each other, and work cooperatively to complete tasks, so new blockchain architectures are needed to accommodate this need, which need to connect traditional blockchain platforms and big data platforms, and complete transactions and supervision at the fastest speed in the transaction flow. Such connections may be made within a cluster, internally using high-speed networks, connecting large data platforms, servers, and other devices. The two platforms cannot just be connected because the operation of the two platforms will affect each other: the blockchain operation can determine whether the transaction can be carried out or not according to the supervision result of the big data platform; while the big data platform must accept the blockchain data 365/7/24, update the data in the platform, then calculate from the upper supervisor, and pass to the blockchain system supervisor decision in the shortest time. Thus, the operation of both systems changes. Because of the interaction, such two closely interacting systems in fact become a fused, all-in-one system, rather than two independent systems.
Disclosure of Invention
The invention provides a real-time transaction control system and a control method based on a blockchain and a big data platform creatively for solving one or more technical problems in the prior art, which are integrated into a whole system, namely, the blockchain operation can be completed by the participation of the big data platform, and the two systems are real-time operation rather than online operation.
The invention aims to provide a real-time transaction control system based on a blockchain and a big data platform, which comprises the following components:
the system comprises a blockchain system, a big data platform and a hash algorithm, wherein the blockchain system is used for executing digital asset transactions and reporting transaction information to the big data platform in real time, the blockchain system executes transactions and adopts the same or different transaction processes, all information of the transactions are reported to the big data platform while being stored in the blockchain system, the blockchain system comprises a plurality of nodes, each node maintains a chain, and the chain is provided with a block, and the block is guaranteed not to be tampered through the hash algorithm;
the big data platform is used for storing the information of the transaction reported by the blockchain system into a data table or a data diagram, so that the information is convenient to inquire and conduct supervision activities, and the data table or the data diagram is dynamically generated and dynamically updated; the big data platform is also used for dynamically adjusting and maintaining data indexes; the large data platform is positioned on a node of at least one blockchain system, the node is a super node, the large data platform is connected with one or more supervision units, the large data platform collects data, after verifying the data, the data is analyzed, and the current transaction situation is obtained as the basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units; or the big data platform itself collects and analyzes information; the big data platform rapidly evaluates whether the transaction is passed or not when the transaction is being made according to the blacklist and other rating data, including data collected and analyzed by the big data platform; immediately sending an evaluation decision to the blockchain system in real time after the big data is evaluated; the blockchain system determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved or rejected, the block chain system immediately puts relevant information into the block, and the block chain system is commonly identified and then uplinked; if the final decision is to reject the transaction, the relevant entity or individual if participating in money laundering activities, the big data platform, or the blockchain system, or both automatically report the information to the supervising entity;
A storage system that stores transaction information and regulatory information using a block-in-block mechanism or a conventional storage mechanism; and
the network system is a high-speed network system and is used for connecting the block chain system, the big data platform and the storage system.
Preferably, the blockchain system uses a blockchain system which can be infinitely extended, wherein transactions and consensus mechanisms in the infinitely extended blockchain system are separated, and account information and transaction information are stored separately; the blockchain system may be a single chain, a double chain, or a multiple chain system; multiple chains may also be single-stranded but maintained simultaneously, the double-stranded, multiple-stranded or single-stranded but multiple internal chains may be supported by a cluster, supporting large concurrent operations; the blockchain system adopts different transaction flows and data structures, including a transaction system based on an account book or a transaction system based on a token, or a transaction system based on a mixed account book and token, or a transaction flow which is just settlement, or a transaction flow which is separated from settlement.
Preferably, the blockchain system and a plurality of big data platforms are fused on different nodes, and the plurality of big data platforms perform the same function.
Preferably, the big data platform is supported by a cluster or is served by a single machine, and is provided with a backup redundancy mechanism and a data guarantee mechanism; the large data platform dynamically maintains the index of data all the time to increase the query speed, the index of data and the data are updated simultaneously, and the large data platform uses various data sources to fuse the data in the blockchain system to establish a large analysis and query large data platform.
Preferably, when the big data platform performs supervisory calculation, the blockchain system can process unrelated transactions simultaneously and in parallel.
The invention also aims to provide a real-time transaction control method based on the blockchain and the big data platform, which comprises two types, namely a real-time transaction control method for separating transaction and settlement, and a real-time transaction control method for separating transaction, namely settlement, and comprises the following steps:
the big data platform collects data, analyzes the data after verifying the data, and obtains the current transaction situation as the basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units; or the big data platform itself collects and analyzes information; the big data platform rapidly evaluates whether the transaction is passed or not when the transaction is being made according to the blacklist and other rating data, including data collected and analyzed by the big data platform;
Immediately sending an evaluation decision to the blockchain system in real time after the big data is evaluated;
the blockchain system determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved or rejected, the block chain system immediately puts relevant information into the block, and the block chain system is commonly identified and then uplinked; if the final decision is to reject the transaction, the relevant entity or individual is engaged in the money laundering activity, the big data platform, or the blockchain system, or both, automatically reports the information of the engagement in the money laundering activity to the supervising entity.
Preferably, the method for controlling the real-time transaction with separated transaction and settlement adopts a alliance chain mode and a mechanism for separating the transaction and settlement, and comprises the following steps:
(1) After the information of all transaction parties is ascertained, determining that funds and assets are all true, queuing up the uplink transaction as follows;
(2) Queuing the uplink transactions, the transaction and consensus mechanism being separated, and the transaction and settlement mechanism being separated;
(3) After consensus, the transaction waits to be completed: if the transaction is separated from the consensus, the transaction needs to wait for the completion of the blockchain system transaction; if the block chain system is in consensus and transaction binding, completing the transaction after consensus;
(4) After the transaction is completed, the completed transaction information is linked up for the second time;
if the transaction is unsuccessful or rejected by the system, the transaction is also uplink, indicating that the transaction failed;
(3) After the processing such as back money washing, the transaction is successfully settled on a proper account system, and the transaction information including the settlement completion time is linked up for the 3 rd time.
Preferably, the real-time transaction control method for the transaction, namely settlement, comprises the following steps:
(1) Before consensus, the big data platform performs supervision and inspection, and can participate in the consensus through inspection, the blockchain system sends the information of the transaction to the big data platform, and the big data platform evaluates whether the transaction is approved;
(2) After the big data platform is evaluated, transmitting decision information to a block chain system;
(3) After receiving the big data platform supervision approval notification, the supervision approval notification is uplink, which is the second uplink; if the big data platform returns a refusal notice, the refusal notice is also uplink; the blockchain system informs the related units and the information of the transaction failure of the clients;
(4) If the big data platform approves, the transaction enters a consensus mechanism; if the transaction and the consensus are separated, the transaction needs to wait for the completion of the blockchain system transaction; if the blockchain system is consensus and transaction binding, the transaction is considered to be completed after consensus; whether the transaction is the consensus or the consensus is separated from the transaction, the completed transaction information is third-time uplink after the transaction is completed; if the transaction fails because of an exception, the failed information is also uplinked, which is also the third time, and the relevant units and customers are notified.
Preferably, the big data platform has the following relevant data: (1) The transaction unit and the transaction personal information comprise unit marks, including LEI, personal identity card, participation intelligent contract, participation data and data source; (2) transaction units or past money laundering information; (3) transaction time, place, transaction success or failure information; (4) past relevant money laundering paths, information and histories; (5) Participation in intelligent contract information, including intelligent contract lists, histories; (6) Transaction log, any information that needs to be recorded in the transaction; (7) Other information sent by the participating cooperative blockchain system or the big data platform; the information comes from data coming out of a blockchain system, a related propranker or a crawler, and the information sources also comprise information provided by a supervision unit, a stock exchange, a business, public security, weather, a geographic position, a futures exchange, a stock hosting mechanism, a bank, a cooperation mechanism or a propranker;
the method also comprises the steps that after transaction information generated by the blockchain transaction reaches the big data platform, the big data platform decomposes the content of the transaction information, such as information of both transaction parties, information of both transaction institutions, the transaction information comprises funds, asset sources and amounts, participation verification units and information of the participation verification units, and the information of the participation verification units and the participation verification units exists in a table or a graph in big data; since this information is continuously entered into the large data platform, the tables and graphs are also updated, the relevant data indexes are updated together, the large data platform may update the data, update the indexes, and process new transactions at the same time;
The analysis flow of the big data platform comprises the following steps:
since all transaction information including account and transaction information before the time point is put into the big data platform to check new transaction when being processed before, if the information of both transaction sides is recorded on the big data platform, whether the information needs to be updated or not needs to be checked, if the information needs to be updated, the next work is continued after the update of the time point; if the updating is not needed, directly continuing the next work; checking whether the transaction is likely to be non-compliant includes: checking whether the two transaction parties participate in money laundering before; or whether the two mechanisms participate in washing; the regulatory unit provides an assessment of the institutional money laundering and an assessment of the customer's money laundering to comprehensively assess whether this is likely to be a money laundering transaction and, if none, proceed to the next step. If any customer or institution has history of money laundering or is suspected, the transaction is stopped and sent to a supervision unit for further investigation and confirmation before proceeding with the transaction; check if a certain fund or asset is suspected of being laundered or otherwise not being compliant. If the funds or the digital assets are suspected of money laundering, the transaction is stopped and sent to a supervision unit for further investigation and confirmation before proceeding with the transaction. Many regulatory units may provide information about which funds or assets have evidence of money laundering;
The blockchain system is notified that the transaction can be settled. And after the end of the transaction settlement of the block chain report, updating the data in the big data platform.
Preferably, the risk of money laundering is automatically checked using a machine learning method, including a deep learning method.
The invention has the beneficial effects that:
transaction on the blockchain system and interaction on the big data platform are completed, transaction and supervision flow are completed, and safety and supervision of the transaction on the blockchain system are ensured.
The above, as well as additional objectives, advantages, and features of the present invention will become apparent to those skilled in the art from the following detailed description of a specific embodiment of the present invention when read in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. The objects and features of the present invention will become more apparent in view of the following description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic block diagram of a blockchain system and big data platform integrated into a manageable digital asset transaction system in accordance with a preferred embodiment of the invention;
FIG. 2 is an overall architecture diagram of a real-time transaction control system in accordance with a preferred embodiment of the present invention;
FIG. 3 is a transaction uplink flow diagram of transaction and settlement separation in accordance with the preferred embodiment of the present invention;
FIG. 4 is a transaction uplink flow chart of "transaction is Settlement" in accordance with a preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of the interaction protocol of a blockchain system and a big data platform in accordance with the preferred embodiment of the present invention;
FIG. 6 is a transaction-to-transaction path diagram and trace funds path diagram in accordance with the preferred embodiment of the invention;
FIG. 7 is a schematic diagram of the connection transaction information and account information tracking participating accounts and funds in accordance with the preferred embodiment of the invention;
fig. 8 is a diagram of a foreign regulatory rating report in accordance with a preferred embodiment of the present invention.
Detailed Description
In order that the invention may be more readily understood, reference will now be made to the following description of the invention taken in conjunction with the accompanying drawings and examples. In the following description, numerous specific details and specific examples are set forth in order to provide a thorough understanding of the present invention and to provide a thorough and complete understanding of the present invention to those skilled in the art. While this invention is susceptible of embodiment in many other forms than those described herein, those skilled in the art will be able to make and use the invention without departing from the spirit of the invention, and therefore the invention is not limited by the specific examples and figures disclosed below.
In the following description, numerous specific details and specific examples are set forth in order to provide a thorough understanding of the present invention and to provide a thorough and complete understanding of the present invention to those skilled in the art. While this invention is susceptible of embodiment in many other forms than those described herein, those skilled in the art will be able to make and use the invention without departing from the spirit of the invention, and therefore the invention is not limited by the specific examples and figures disclosed below.
1-2, FIG. 1 shows a schematic block diagram of a blockchain system and a big data platform fused into a manageable digital asset transaction system, and FIG. 2 shows an overall architecture diagram of a real-time transaction control system.
The embodiment provides a real-time transaction control system based on a blockchain and a big data platform, which comprises:
a blockchain system for executing transactions of digital assets (including digital currencies, such as a central row of digital currencies) and reporting transaction information in real time to a big data platform, the blockchain system executing transactions may take different transaction flows, but all information of the transactions is reported to the big data platform while being present in the blockchain system, the blockchain system comprising a plurality of nodes, each node maintaining a chain with a block thereon, the block being guaranteed to be not tampered with by a hash algorithm;
A big data platform for storing information of the transactions reported by the blockchain system in a data table (table), a data graph (graph), or other data structure, thereby facilitating querying and engaging in regulatory activities, the data table, data graph, and other data structure being dynamically generated and dynamically updated; the big data platform is also used for dynamically adjusting and maintaining data indexes; the big data platform is positioned on a node of at least one blockchain system, the node is a super node, the big data platform is connected with one or more supervision units, the big data platform collects data from a network, after verifying the data, the data is analyzed, and the current transaction situation is obtained as a basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units, for example, collecting exchange or client blacklist information from a TRISA system, a stra system or other network supervision systems; TRISA is a distributed supervisory system developed by foreign supervisory technology companies, and strasa is a distributed supervisory system developed by china; or the big data platform itself collects and analyzes information; the big data platform rapidly evaluates whether the transaction is passed or not when the transaction is being made according to the blacklist and other rating data, including data collected and analyzed by the big data platform; and immediately after the big data is evaluated, the evaluation decision is sent to the blockchain platform in real time. The blockchain platform determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved or rejected, the block chain system immediately puts relevant information into the block, and the block chain system is commonly identified and then uplinked; if the final decision is to reject the transaction, the relevant entity or individual if participating in money laundering activities, the big data platform, or the blockchain system, or both automatically report the information to the supervising entity;
A storage system that uses a block-in-block mechanism to store or a traditional storage mechanism; and
and the network system is used for connecting the blockchain system, the big data platform and the storage system.
As a preferred embodiment, the network system is a high-speed network system, and a variety of network devices may be used, including InfiniBand, or other high-speed networks.
As a preferred embodiment, the blockchain system uses a blockchain system that can be infinitely extended in which transactions and consensus mechanisms are separated, account information and transaction information are stored separately, which can be significantly more functional and performance than conventional blockchain systems. Of course, other blockchain systems or blockchain systems that occur in the future may also be used.
As a preferred embodiment, the blockchain system may be a single chain, a double chain, or a multiple chain system; it may also be single chain but maintain multiple chains simultaneously, e.g., two chains simultaneously within a blockchain system: account chain and transaction chain. Double-stranded, multi-stranded or single-stranded but multiple internal chains may be supported by the cluster, supporting large concurrent jobs.
As a preferred embodiment, the blockchain system may take on different transaction flows and data structures, including ledger-based transaction systems, or token-based transaction systems, or mixed ledger and token-based transaction systems, or transaction flows in which transactions are settlement, or transaction flows in which transactions and settlement are separate, and these and other systems may take on application to the present invention.
As a preferred embodiment, a blockchain system may be integrated with multiple large data platforms on different nodes, which may work similarly.
As a preferred embodiment, the big data platform may use a big data platform commonly used now, as well as big data platforms that will appear in the future. These platforms are typically supported by clusters and the more servers the better the performance, but stand-alone services may also be used.
As a preferred embodiment, large data platforms mostly have backup redundancy mechanisms, such as an automatic 3 backup mechanism, and data assurance mechanisms. If blockchain system transaction data is important, such data may require more backups on a large data platform.
Preferably, the large data platform dynamically maintains an index of data at all times to increase the speed of queries. The index and data are updated at the same time. This is supportable because large data platforms can perform a large number of parallel computations.
As a preferred embodiment, the big data platform may use multiple data sources to fuse data within the blockchain to build a big analysis and query big data platform.
As a preferred embodiment, the blockchain system may process unrelated transactions in parallel at the same time as the big data platform performs the supervisory calculations.
The embodiment also provides a real-time transaction control method based on a blockchain and a big data platform, which comprises two types, namely a real-time transaction control method for separating transaction and settlement, and a real-time transaction control method for separating the transaction, namely the settlement, and comprises the following steps:
the big data platform collects transaction data of the block chain system, the transaction data is sent to the upper chain, supervision and inspection are carried out on the transaction data, and after the transaction data passes inspection, the transaction data participate in consensus;
after the big data platform distributes the transaction data to different records, requesting to verify the transaction information, and using a back money laundering or other supervision algorithm to verify whether the transaction is compliant;
sending a supervision approval notification or a supervision rejection notification for a compliant or non-compliant transaction, respectively, and notifying a client of a transaction success or a transaction failure, respectively;
completion or failure information of the transaction and transaction information are again linked.
Once a transaction data arrives at the blockchain system, the data is linked up once the transaction data arrives at the blockchain system, the transaction data is not yet settled, and the data is linked up again after settlement, and the data is linked up for the third time. If the system also includes other mechanisms, such as clearing, then the mechanism is completed, such as re-chaining, 4 th chaining, after clearing.
As a preferred embodiment, the first way is to separate the transaction and settlement flows; but some blockchain transaction systems take the form of "transactions, i.e., settlements". In a system where such transactions are settlement, the number of times of the uplink can be suitably reduced. Some such systems, however, require a short period of time to settle, although the "transaction is declared to be a settlement", for example the real-time settlement system proposed by the uk-office, which requires only 2 hours to settle. In such systems, the "post-transaction settlement" approach is still in fact employed, in which case the description herein may be used directly.
As a preferred embodiment, some systems may choose to only be trained 1 or 2 times, rather than 3 times. The advantage of 3 times of chaining is that all steps in all transactions can be tracked, including failed transactions (unable to complete the transaction) and transactions that were rejected prior to settlement. These rejected transactions represent a problem for the relevant entity units or for the individual clients, such as participating in money laundering. The 3 times of uplink guarantees that the related information can be reserved, and the reserved information is convenient for audit and use in the future.
As shown in fig. 3, for the transaction flow under the real-time transaction control method of transaction and settlement separation, the blockchain transaction system adopts a alliance chain mode and adopts a mechanism of transaction and settlement separation, and comprises:
(1) A transaction arrives at the blockchain system assuming that your customer (Know Your Customer, KYC) or similar customer authentication has been known, for example using the international standard corporate identifier L (Legal Entity Identifier, LEI) method. After ascertaining the information of all transaction parties, and determining that funds and assets are authentic, a queuing up transaction is performed as follows.
(2) Queuing the uplink transaction. Any blockchain system may be used, but it is preferred to use a new type of blockchain system in which the transaction and consensus mechanisms are separate and the transaction and settlement mechanisms are separate. Conventional blockchain systems may also be used.
(3) After consensus, the transaction waits to be completed:
if the transaction and consensus are separated, the transaction needs to wait for the blockchain system transaction to complete. If the blockchain system "consensus and transaction binding" is followed, the transaction is completed. Whether the transaction is "consensus" or the consensus is separated from the transaction, the completed transaction information is uplink for the 2 nd time after the transaction is completed;
If the transaction is unsuccessful, such as multiple failures of the consensus (mechanism of binding between the transaction and the consensus), or if the transaction is rejected by the system (mechanism of separation between the transaction and the consensus), the transaction is also chained, indicating that the transaction failed.
(3) After processing such as back money laundering (AML), the transaction is successfully settled on a proper account system, and the transaction information including the settlement completion time is linked up for the 3 rd time.
In a preferred embodiment, if the first operation of the blockchain is to perform KYC or the like, the above procedure requires one more step, and the number of times of the uplink may be increased or kept the same. Some blockchain systems may choose not to be uplinked at step 4, in such systems, because no record of the completion of the transaction is found on the system, which automatically counts as a "failure".
As a preferred embodiment, the LEI international standard or other different identification systems may be used in different applications or regions.
As a preferred embodiment, the blockchain system may use different consensus protocols, including PBFT, CBFT, poW, etc.
The present embodiment is described by taking a federated chain as an example, but the entire mechanism may be used on a public chain or on a public/federated chain hybrid. On the public chain, there may also be super nodes, which may be subject to mechanisms such as building blocks, voting, etc., while big data platforms may be on these super nodes.
As shown in fig. 4, the second mechanism, the blockchain system adopts a "transaction, i.e., settlement" mechanism, consistent with steps (1) and (2) of "transaction and settlement separation", but different from step (3):
(1) Before consensus, the big data platform is subjected to supervision and inspection, and can participate in consensus only after inspection. The blockchain system sends the transaction information to the big data platform, which evaluates whether the transaction is approved.
(2) After the big data platform is evaluated, the decision information is transmitted to the blockchain system.
(3) Upon receipt of the big data platform regulatory approval notification, the regulatory approval notification is uplinked, which is the second time. If the big data platform returns a rejection notice, the rejection notice is also uplink. The blockchain system informs the relevant units and the customer of the failure of the transaction.
(4) If the big data platform approves, the transaction enters a consensus mechanism. If the transaction and consensus are separated, the transaction needs to wait for the blockchain system transaction to complete. If the blockchain system "consensus and transaction binding" is followed, the transaction is completed. Whether "consensus is a transaction" or whether the consensus is separate from the transaction, the completed transaction information is third-time chained after the transaction is completed.
If the transaction fails because of an exception, the failed information is also uplinked, which is also the third time, and the relevant units and customers are notified.
As a preferred embodiment, some systems may choose to reduce the flow appropriately on the basis of fig. 4, for example only twice, but ensure that the flow needs to be booted at least once. If the transaction is only carried out once, the transaction is carried out or the transaction is carried out after refusal; if twice, the middle second uplink may be omitted.
(one) the big data collection data flow is shown in fig. 5, and an interactive protocol of the blockchain system and the big data platform is also formed.
(1) When transaction data is uplink, either 1,2 or 3 times uplink, the data is sent from the blockchain system to the big data platform. The flow may be in software or may be performed by hardware. Since this flow algorithm is fixed, many of the steps may be performed by hardware.
(2) Immediately after the transaction data arrives at the big data platform, the transaction data is distributed to different tables, graphs or other data structures, such as account information and transaction information. And the account information includes transaction information associated with the account in addition to the account information. The account information includes information about whether the unit or the personal information has previously washed money. The transaction information may be stored in terms of time and transaction categories including normal transactions, money laundering transactions, risky transactions.
(3) Since blockchain transactions are 24 hours in progress, this information is 24 hours to come to the large data platform, which requires updating the database without halting.
(4) When a transaction is completed (if a separate transaction and settlement mechanism is used) or is about to be completed (if a transaction and settlement binding mechanism is used), the big data platform immediately initiates a backwash or other regulatory algorithm to verify that the transaction is compliant.
(5) If so, immediately notifying the blockchain system of completion of the transaction (mechanism of binding at transaction and settlement) or settlement (mechanism of separation at transaction and settlement); if not, immediately notifying the blockchain system of rejection of the transaction (if a mechanism for transaction and settlement binding is used) or rejection of the settlement (if a mechanism for transaction and settlement separation is used), and notifying the relevant units or clients that the transaction failed; if the big data platform cannot decide whether the big data platform is compliant or not, the blockchain system can be informed to temporarily stop the transaction, and the big data can be waited for more analysis.
(II) dynamic data composition and management of big data platform
1. The big data platform has the following relevant data:
(1) Transaction units and transaction personal information including unit indicia such as LEI, personal identification card, participation in smart contracts, participation in data, data sources;
(2) Transaction units or past money laundering information;
(3) Information such as transaction time, place, success or failure of transaction;
(4) Past relevant money laundering paths, information and histories;
(5) Participation in intelligent contract information including intelligent contract lists, history records, etc.;
(6) Transaction log, any information that needs to be recorded in the transaction;
(7) Other information sent by participating in a collaborative blockchain system or a big data platform.
The big data platform table data structure is shown in table 1:
such information may use conventional big data platforms such as hbase.
(III) information Source
The information of this embodiment is mostly from the blockchain system, but part of the information may come from the associated predictors, as well as the data coming out of the crawlers. Such as transaction units and transaction personal information, the data from the crawlers may be used as a proof, in addition to the information provided by the units. Thus, the information sources also include information provided by regulatory units, stock exchanges, industry and commerce, public security, weather, geographical locations, futures exchanges, stock hosting institutions, banks, co-ordinates, etc., or prophetic agents.
(IV) data index Generation and maintenance
After the transaction information generated by the blockchain transaction reaches the big data platform, the big data platform decomposes the content of the transaction information, such as information of both transaction parties, the transaction information comprises funds, asset sources and amounts, participation verification units and information of the participation verification units, and the information exists in a table or a graph in big data. Since this information is continuously entered into the large data platform, the tables and graphs are also updated, and the associated data indexes are updated together, the large data platform may update the data, update the indexes, and process new transactions at the same time. Of course, those skilled in the art can use many large data sheets, diagrams, or other data structure designs and algorithms based on expert knowledge, and are within the scope of the present invention.
(V) big data platform analysis flow
Since all transaction information including account and transaction information before the point in time has been put into the big data platform to check new transactions when previously processed, if both transaction information has been recorded on the big data platform, it is necessary to check whether the information needs to be updated, and if so, the next work is continued after the point in time is updated. If the updating is not needed, the next work is directly continued. Checking whether the transaction is likely to be non-compliant, such as money laundering, includes: checking whether the two transaction parties participate in money laundering before; or whether the two parties are involved in money laundering. Many regulatory units provide an assessment of institutional money laundering and a customer's money laundering assessment to comprehensively assess whether this is likely to be a money laundering transaction. For example, both parties to the transaction and the financial institution they registered have a history of money laundering, and if none, proceed to the next step. If any customer or institution has history of money laundering or is suspected, the transaction is stopped and sent to the supervision unit for further investigation and confirmation before proceeding with the transaction. Check if a certain fund or asset is suspected of being laundered or otherwise not being compliant. If the funds or the digital assets are suspected of money laundering, the transaction is stopped and sent to a supervision unit for further investigation and confirmation before proceeding with the transaction. Many regulatory units may provide information on which funds or assets have evidence of money laundering.
The blockchain system is notified that the transaction can be settled. And after the end of the transaction settlement of the block chain report, updating the data in the big data platform.
In this embodiment, a number of conventional classical back-money laundering algorithms may be used on a large data platform.
In addition, as a large amount of money laundering history continues to accumulate on large data platforms, many customers (including institutions or individuals) are identified by regulatory agencies as risk. The higher the risk, the more dangerous. Such risk information is shared by large data platforms and regulatory bodies, for example, foreign regulatory science and technology companies and regulatory bodies have rated most digital asset exchanges and individuals, and such ratings materials are shareable. For example, the institutions rated 100% money laundered, and the institutions rated 0% no money laundered. Any transaction passing through a 100% money laundering institution will be rated as money laundering. Individuals or institution customers participating in these money laundering institution transactions will be rated on the blacklist of "money laundering institutions". These data are dynamically adjusted. Since some institutions or individuals have good records, they can be identified as whitelists and their small normal transactions can be passed through quickly. However, the white list or the black list needs to be updated at any time to prevent emergency.
As a preferred embodiment, machine learning methods, such as deep learning methods, can be used to automatically check for the risk of money laundering due to substantial money laundering or non-compliance with actual records. Fig. 8 is a diagram of foreign regulatory science and technology companies publishing data on ratings of some institutions on digital asset transactions in 2020.
Details of specific embodiments are shown in fig. 6-7: and when judging whether the user washes money, counting accounts and fund information mainly by adopting an algorithm, judging whether the user washes money by judging whether a money washing mechanism exists on a fund chain, wherein the algorithm is as follows:
copying the transaction data into one copy and sequencing the transaction data according to the sequence of the time stamps;
setting transaction blocks as (T1, T2..Tn), wherein n is the number of transaction blocks, setting the initiator of the ith transaction as TAi, setting the transaction receiver as TBi, setting the transaction amount as Tm, traversing from the first transaction, searching for the subsequent transaction, when TiA=T1B, separating the first block from the ith transaction data into an associated transaction, then continuously searching for the TjA =TiB transaction block, if the conditions are met, connecting the jth transaction block to the first associated transaction block, traversing all the transaction blocks in sequence, and searching for the first fund chain data;
finding a 2 nd transaction chain, a 3 rd transaction chain and an nth transaction chain according to the step 2;
Because the transaction chain has account information of a sender and a receiver, the transaction account chain can be obtained according to the transaction chain;
and searching money laundering mechanisms in all accounts, and judging that all accounts forming a transaction chain with the money laundering mechanisms participate in money laundering.
In the embodiment, the transaction on the blockchain system and the big data platform are interacted, the transaction and the supervision flow are completed, and the security and the supervision performance of the transaction on the blockchain system are ensured.
While the present invention has been described with reference to the particular illustrative embodiments, it is not to be restricted by the embodiments but only by the appended claims. It will be appreciated by those skilled in the art that changes and modifications may be made to the embodiments of the invention without departing from the scope and spirit thereof.
Claims (2)
1. A blockchain and big data platform based real-time transaction control system, comprising:
the system comprises a blockchain system, a big data platform and a hash algorithm, wherein the blockchain system is used for executing digital asset transactions and reporting transaction information to the big data platform in real time, the blockchain system executes transactions and adopts the same or different transaction processes, all information of the transactions are reported to the big data platform while being stored in the blockchain system, the blockchain system comprises a plurality of nodes, each node maintains a chain, and the chain is provided with a block, and the block is guaranteed not to be tampered through the hash algorithm;
The big data platform is used for storing the information of the transaction reported by the blockchain system into a data table or a data diagram, so that the information is convenient to inquire and conduct supervision activities, and the data table or the data diagram is dynamically generated and dynamically updated; the big data platform is also used for dynamically adjusting and maintaining data indexes; the large data platform is positioned on a node of at least one blockchain system, the node is a super node, the large data platform is connected with one or more supervision units, the large data platform collects data, after verifying the data, the data is analyzed, and the current transaction situation is obtained as the basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units; or the big data platform itself collects and analyzes information; the big data platform rapidly evaluates whether the transaction is passed or not when the transaction is being made according to the blacklist and other rating data, including data collected and analyzed by the big data platform; immediately sending the evaluation decision to the blockchain system in real time after the big data platform finishes evaluation; the blockchain system determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or refused, the block chain system immediately puts relevant information into the block, and the block chain system is commonly recognized and then uplinked; if the final decision is to reject the transaction, the relevant entity or individual if participating in money laundering activities, the big data platform, or the blockchain system, or both automatically report the information to the supervising entity;
A storage system that stores transaction information and regulatory information using a block-in-block mechanism or a conventional storage mechanism; and
the network system is a high-speed network system and is used for connecting the block chain system, the big data platform and the storage system;
the blockchain system uses a blockchain system capable of being infinitely extended, wherein transaction and consensus mechanisms in the infinitely extended blockchain system are separated, and account information and transaction information are stored separately; the blockchain system is a single chain, double chain, or multiple chain system; or single chain but maintaining multiple chains at the same time, the double chain, multiple chains or single chain but multiple internal chains can be supported by the cluster to support large concurrent operations; the blockchain system adopts different transaction flows and data structures, including a transaction system based on an account book, a transaction system based on a token, or a transaction system based on a mixed account book and a token, or a transaction flow which is just settlement, or a transaction flow which is separated from settlement;
the blockchain system and a plurality of big data platforms are fused on different nodes, and the big data platforms execute the same function;
The big data platform is supported by a cluster or is served by a single machine and is provided with a backup redundancy mechanism and a data guarantee mechanism; the large data platform dynamically maintains the index of the data all the time to increase the query speed, wherein the index of the data and the data are updated simultaneously, and the large data platform uses various data sources to fuse the data in the blockchain system to establish a large-scale analysis and query large data platform;
when the big data platform performs supervision calculation, the blockchain system can process uncorrelated transactions simultaneously and in parallel.
2. A real-time transaction control method based on the real-time transaction control system based on the blockchain and big data platform as claimed in claim 1, characterized by comprising two types, one is a real-time transaction control method separated for transaction and settlement, and the second is a real-time transaction control method for transaction, namely settlement, comprising:
the big data platform collects data, analyzes the data after verifying the data, and obtains the current transaction situation as the basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units; or the big data platform itself collects and analyzes information; the big data platform rapidly evaluates the transaction which is being done at the moment according to the blacklist and other rating data, including data collected and analyzed by the big data platform, so as to determine whether to pass the transaction as evaluation decision;
Immediately sending the evaluation decision to the blockchain system in real time after the big data platform finishes evaluation;
the blockchain system determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or refused, the block chain system immediately puts relevant information into the block, and the block chain system is commonly recognized and then uplinked; if the final decision is to reject the transaction, the relevant entity or the individual takes part in the money laundering activity, the big data platform, the blockchain system or both systems automatically report the information of the participation in the money laundering activity to the supervision entity;
the real-time transaction control method for separating transaction and settlement adopts a mechanism for separating transaction and settlement, and comprises the following steps:
(1) After the information of all transaction parties is ascertained, determining that funds and assets are all true, queuing up the uplink transaction as follows;
(2) Queuing the uplink transactions, the transaction and consensus mechanism being separated, and the transaction and settlement mechanism being separated;
(3) After consensus, the transaction waits to be completed: if the transaction is separated from the consensus, the transaction needs to wait for the completion of the blockchain system transaction; if the block chain system is in consensus and transaction binding, completing the transaction after consensus;
(4) After the transaction is completed, the completed transaction information is linked up for the second time;
if the transaction is unsuccessful or rejected by the system, the transaction is also uplink, indicating that the transaction failed;
(3) After back washing money, the transaction is successfully settled on a proper account system, and the transaction information comprises the settlement completion time and the 3 rd time of the uplink;
the real-time transaction control method for the transaction, namely settlement, comprises the following steps:
(1) Before consensus, the big data platform performs supervision and inspection, and can participate in the consensus through inspection, the blockchain system sends the information of the transaction to the big data platform, and the big data platform evaluates whether the transaction is approved;
(2) After the big data platform is evaluated, transmitting decision information to a block chain system;
(3) After receiving the big data platform supervision approval notification, the supervision approval notification is uplink, which is the second uplink; if the big data platform returns a refusal notice, the refusal notice is also uplink; the blockchain system informs the related units and the information of the transaction failure of the clients;
(4) If the big data platform approves, the transaction enters a consensus mechanism; if the transaction and the consensus are separated, the transaction needs to wait for the completion of the blockchain system transaction; if the blockchain system is consensus and transaction binding, the transaction is considered to be completed after consensus; whether the transaction is the consensus or the consensus is separated from the transaction, the completed transaction information is third-time uplink after the transaction is completed; if the transaction fails because of an exception, the failed information is also uplinked, which is also the third time, and the relevant units and customers are notified;
The big data platform has the following relevant data: (1) The transaction unit and the transaction personal information comprise unit marks, including LEI, personal identity card, participation intelligent contract, participation data and data source; (2) transaction units or past money laundering information; (3) transaction time, place, transaction success or failure information; (4) past relevant money laundering paths, information and histories; (5) Participation in intelligent contract information, including intelligent contract lists, histories; (6) Transaction log, any information that needs to be recorded in the transaction; (7) Other information sent by the participating cooperative blockchain system or the big data platform; the information comes from data coming out of a blockchain system, a related propranker or a crawler, and the information sources also comprise information provided by a supervision unit, a stock exchange, a business, public security, weather, a geographic position, a futures exchange, a stock hosting mechanism, a bank, a cooperation mechanism or a propranker;
the method further comprises the step that after transaction information generated by blockchain transaction reaches the big data platform, the big data platform decomposes the content of the transaction information, wherein the content comprises information of both transaction parties and information of both transaction institutions, the transaction information comprises funds, asset sources and amounts, participation verification units and information of the participation verification units, and the information is stored in a table or a graph in big data; because the information is continuously entered into the large data platform, the tables and the graphs are also updated all the time, the related data indexes are also updated together, the large data platform can update the data, update the indexes and process new transactions at the same time;
The analysis flow of the big data platform comprises the following steps:
since all transaction information including account and transaction information before the time point is put into the big data platform to check new transaction when being processed before, if the information of both transaction sides is recorded on the big data platform, whether the information needs to be updated or not needs to be checked, if the information needs to be updated, the next work is continued after the update of the time point; if the updating is not needed, directly continuing the next work; checking whether the transaction is not compliant includes: checking whether the two transaction parties participate in money laundering before; or whether the two parties participate in money laundering; the regulatory unit provides an assessment of the institution's money laundering and an assessment of the customer's money laundering to comprehensively assess whether this is a money laundering transaction, and if none, proceed to the next step;
if any customer or institution has history of money laundering or is suspected, the transaction is stopped and sent to a supervision unit for further investigation and confirmation before proceeding with the transaction; checking whether a certain fund or asset has money laundering or is not a legal suspicion;
if the funds or the digital assets are suspected of money laundering, the transaction is stopped and sent to a supervision unit for further investigation and confirmation before proceeding with the transaction;
Many regulatory units are able to provide information about which funds or assets have evidence of money laundering;
notifying the blockchain system that the transaction is capable of settlement;
after the end of the transaction settlement of the block chain report, updating the data on the big data platform;
the risk of money laundering is automatically checked using machine learning methods, including deep learning methods.
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