CN114626848A - Real-time transaction control system and method based on block chain and big data platform - Google Patents
Real-time transaction control system and method based on block chain and big data platform Download PDFInfo
- Publication number
- CN114626848A CN114626848A CN202110939856.5A CN202110939856A CN114626848A CN 114626848 A CN114626848 A CN 114626848A CN 202110939856 A CN202110939856 A CN 202110939856A CN 114626848 A CN114626848 A CN 114626848A
- Authority
- CN
- China
- Prior art keywords
- transaction
- big data
- information
- data platform
- blockchain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 230000007246 mechanism Effects 0.000 claims abstract description 48
- 230000001105 regulatory effect Effects 0.000 claims abstract description 18
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000004900 laundering Methods 0.000 claims description 62
- 230000008569 process Effects 0.000 claims description 24
- 230000000694 effects Effects 0.000 claims description 9
- 230000008520 organization Effects 0.000 claims description 9
- 238000007689 inspection Methods 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 6
- 238000011835 investigation Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 2
- 230000001276 controlling effect Effects 0.000 claims 2
- 238000010586 diagram Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
- 230000003993 interaction Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000000926 separation method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008275 binding mechanism Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000003999 initiator Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008844 regulatory mechanism Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Engineering & Computer Science (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Technology Law (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention provides a real-time transaction control system and a method based on a block chain and a big data platform, wherein the system comprises the following steps: the block chain system is used for executing the digital asset transaction and reporting the transaction information to the big data platform in real time; the big data platform is used for storing the transaction information reported by the blockchain system in a data table or a data graph and quickly evaluating whether the transaction passes the transaction; immediately after the evaluation, sending the evaluation decision to the blockchain system in real time; the blockchain system determines whether to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts the relevant information into the blocks, and after the identification, the blocks are linked up; if the final decision is to reject the transaction, automatically reporting the information to a regulatory body; the storage system stores transaction information and supervision information by using a block-in-block mechanism or a traditional 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 field of block chain digital asset transaction, big data and supervision technologies, and particularly relates to a real-time transaction control system and a real-time transaction control method based on a block chain and a big data platform, which are needed by transaction and big data platform interaction on a block chain system to complete transaction and supervision processes.
Background
Traditional blockchain systems circumvent supervision, while super ledgers also do not consider supervision mechanisms. However, the blockchain system must be considered regulatory, and according to the legal regulations of each country, a blockchain system which is not regulated or cannot be regulated later cannot be used. However, the content supervision mechanism of the traditional financial system is attached to the traditional financial system, and is implemented in the background of the financial system by using technologies such as big data, artificial intelligence contracts and the like. Many times, the day market deals and the night background systems engage in regulatory checks, i.e. many regulatory mechanisms are not performed in real time.
However, the block chain-based digital currency and digital finance are 365/7/24 transactions, and real-time supervision is needed, namely supervision check must be executed at transaction time, so that the novel block chain system is embedded in a protocol layer for supervision. This also represents that the working mode of the blockchain is changed, and the blockchain is just the blockchain as long as the transaction can be done before, and the transaction can be completed only by carrying out supervision. Such a requirement is clearly shown and described in the white paper of version 2 of the digital stable currency of face book in 2020, the face book declares that the "Travel Rule" (Travel Rule) is required to be obeyed, and a supervision mechanism is embedded in a block chain protocol layer, so that a real-time supervision mechanism is necessary to be confirmed, and the real-time supervision mechanism is also necessary infrastructure of a novel digital economy. Moreover, embedded policing at the blockchain protocol layer requires that the policing checks be completed in a short time, while the policing checks require processing of large amounts of data. The embedded supervisory mechanism changes blockchain architecture and operations, including transaction flow changes, data structure changes, and super-fusion with big data platforms. The blockchain platform and the big data platform need to be seamlessly and synchronously collocated on each transaction to complete. However, since the big data platform needs to perform a lot of data analysis, the big data platform needs to perform transaction verification and arrange data in real time to prepare for the transaction that is going on.
Some designs of interaction between a blockchain system and a big data platform appear in the prior art, but most of the two platforms work independently, exchange information with each other and cooperate to complete tasks, so that a new blockchain architecture needs to be designed to meet the requirement, and the new architecture needs to be connected with the traditional blockchain platform and the big data platform to complete transactions and supervision at the fastest speed in a transaction flow. Such connections can be made within a cluster, using high-speed networks internally, connecting large data platforms, servers, and other devices. The two platforms cannot be connected only because the operation of the two platforms can affect each other: the block chain operation determines whether the transaction can be carried out or not according to the monitoring result of the big data platform; while the big data platform must 365/7/24 accept the blockchain data, update the data in the platform, then supervise the calculations from above and pass to the blockchain system supervision decisions in the shortest time. Thus, the jobs of both systems change. Because of the mutual influence, the two closely interacting systems are actually a merged all-in-one system rather than two independent systems.
Disclosure of Invention
The invention aims to solve one or more technical problems in the prior art, and creatively provides a real-time transaction control system and a control method based on a block chain and a big data platform, which become a fused integrated system, namely, the block chain operation needs the participation of the big data platform to be completed, and the two systems are operated in real time instead of under-line operation.
The invention aims to provide a real-time transaction control system based on a block chain and a big data platform, which comprises:
the blockchain system is used for executing digital asset transaction and reporting transaction information to a big data platform in real time, the blockchain system executes the transaction and adopts the same or different transaction processes, all information of the transaction exists in the blockchain system and is reported to the big data platform at the same time, the blockchain system comprises a plurality of nodes, each node maintains a chain, a block is arranged on the chain, and the block is guaranteed not to be tampered through a Hash algorithm;
a big data platform for storing information of the transactions reported by the blockchain system in a data table or data graph, thereby facilitating querying and engaging in supervisory activities, the data table or data graph being dynamically generated and dynamically updated; the big data platform is also used for dynamically adjusting and maintaining the data index; the big data platform is positioned on a node of at least one block chain 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, and after the data is verified, the data is analyzed to obtain the current transaction situation as the basis of supervision decision; or the big data platform receives related supervision information obtained from other reliable units; or the big data platform collects and analyzes information by itself; the big data platform rapidly evaluates whether the transaction is passed or not according to the blacklist and other rating data including data collected and analyzed by the big data platform; after the big data is evaluated, immediately sending an evaluation decision to the block chain system in real time; the blockchain system determines whether to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts relevant information into the blocks, and after common identification, the blocks are linked up; if the final decision is to reject the transaction, the relevant entity or individual, if involved in money laundering activities, may automatically report the information to the supervising entity on a large data platform, a blockchain system, or both;
the storage system stores transaction information and supervision information by using a block-in-block mechanism or a traditional storage mechanism; and
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 an infinitely expandable blockchain system, the transaction and consensus mechanism in the infinitely expandable blockchain system are separated, and the account information and the transaction information are stored separately; the blockchain system may be a single-stranded, double-stranded, or multi-stranded system; the chain can be single-chain but maintain a plurality of chains at the same time, and the double chains, the multiple chains or the single chains but have a plurality of internal chains can be supported by the cluster, so that large-scale concurrent operation is supported; the blockchain system adopts different transaction processes and data structures, and comprises 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 the token, or a transaction process in which the transaction is settlement, or a transaction process in which the transaction and the settlement are separated.
Preferably, the blockchain system and the plurality of big data platforms are merged on different nodes, and the plurality of big data platforms execute the same function.
Preferably, the big data platform is supported by a cluster or a single machine, and has a backup redundancy mechanism and a data guarantee mechanism; the big data platform maintains indexes of data dynamically all the time to increase the query speed, the indexes and the data of the data are updated at the same time, and the big data platform fuses data in the block chain system by using multiple data sources to establish a big data platform for large analysis and query.
Preferably, when the big data platform carries out supervisory calculation, the blockchain system can simultaneously process unrelated transactions in parallel.
The invention also aims to provide 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 transaction, namely settlement, and comprises the following steps:
the big data platform collects data, and after the data is verified, the big data platform analyzes the data to obtain the current transaction situation as the basis of supervision decision; or the big data platform receives related supervision information obtained from other reliable units; or the big data platform collects and analyzes information by itself; the big data platform rapidly evaluates whether the transaction is passed or not according to the blacklist and other rating data including data collected and analyzed by the big data platform;
after the big data is evaluated, immediately sending an evaluation decision to the block chain system in real time;
the blockchain system determines whether to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts the relevant information into the blocks, and after the identification, the blocks are linked up; if the final decision is to reject the transaction, the relevant entity or the individual if involved in money laundering activity, the big data platform, or the blockchain system, or both, automatically report the information of participation in money laundering activity to the supervising entity.
Preferably, the real-time transaction control method with separate transaction and settlement adopts a alliance chain mode and a mechanism with separate transaction and settlement, and comprises the following steps:
(1) after the transaction reaches the blockchain system to carry out the first uplink, and after the information of all transaction parties is checked out, the fund and the assets are confirmed to be true, the following queued uplink transaction is carried out;
(2) queuing the uplink transaction, wherein the transaction and consensus mechanism are separated, and the transaction and settlement mechanism are separated;
(3) after consensus, the transaction waits for completion: if the transaction and the consensus are separated, the transaction needs to wait for the blockchain system transaction to be completed; if the block chain system is in consensus and transaction binding, the transaction is completed after the consensus;
(4) after the transaction is completed, linking the completed transaction information for the second time;
if the transaction is not successful or the transaction is rejected by the system, the transaction is also linked up, indicating that the transaction failed;
(3) after the money is washed back and the like, the transaction is successfully settled on a proper account system, and the transaction information comprises the 3 rd chain of settlement completion time.
Preferably, the real-time transaction control method for settling the transaction includes:
(1) before consensus, the big data platform firstly conducts supervision and inspection, only can the big data platform participate in consensus through inspection, the block chain system sends the information of the transaction to the big data platform, and the big data platform evaluates whether the transaction is approved or not;
(2) after the big data platform is evaluated, the decision information is transmitted to the block chain system;
(3) after receiving a big data platform supervision approval notice, uplink the supervision approval notice, which is the second uplink; if the big data platform returns a rejection notice, the rejection notice is also uplink-linked; the blockchain system informs the related units of the information of the failure of the transaction with the customer;
(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 consensus and the transaction are bound, the transaction is considered to be completed after the consensus; whether the common identification is the transaction or the common identification and the transaction are separated, after the transaction is completed, the completed transaction information is linked for the third time; if the transaction fails due to an exception, the failed transaction is linked up, which is also the third time, and the relevant organization and customer are notified.
Preferably, the big data platform has the following relevant data: (1) the trading unit and the trading personal information comprise unit marks including an LEI, a personal identity card, a participation intelligent contract, participation data and a data source; (2) transaction units or past money laundering information; (3) time, place, and information on whether the transaction was successful or not; (4) past relevant money laundering routes, information, history; (5) participating in intelligent contract information, including an intelligent contract list and a history record; (6) transaction logs, any information that needs to be recorded in a transaction; (7) other information participating in the collaboration blockchain system or sent by the big data platform; the information is from data from a blockchain system, a related prediction machine or a crawler, and the information source also comprises information provided by a supervision unit, a stock exchange, a business, a public security, weather, a geographic position, a futures exchange, a stock hosting organization, a bank, a cooperative agency or a prediction machine;
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 and information of both transaction institutions, wherein the transaction information comprises funds, asset sources and quantities, and information of participating verification units and the participating verification units, and the information is stored in a table or a graph in the big data; because the information continuously enters the big data platform, the tables and the graphs are updated all the time, the related data indexes are updated together, and the big data platform can update the data, update the indexes and process new transactions at the same time;
the analysis process of the big data platform comprises the following steps:
since all transaction information including account and transaction information before the time point is processed before, the transaction information is put into the big data platform to check the new transaction, if the information of both transaction parties 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 continues after the update of the time point; if the updating is not needed, the next step of work is directly continued; verifying that the transaction is not likely to be non-compliant includes: checking whether the two parties of the transaction have participated in money laundering before; or whether the institutions of both parties participate in money laundering; the regulatory body provides an assessment of the institution's 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 not, to proceed to the next step. If any client or organization has the history of money laundering or is suspected, the transaction is called to stop, and the transaction can be continued after the transaction is sent to a supervision unit for further investigation and confirmation; checking if a certain fund or asset has money laundering or is in doubt of non-compliance. If the fund or the digital asset is suspected to be money laundering, the transaction is called to stop, and the transaction can not be continued until a supervision unit carries out further investigation and confirmation. Many regulatory bodies can 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 block chain report transaction settlement is finished, updating the data on the big data platform.
Preferably, the risk of money laundering is automatically checked using machine learning methods, including deep learning methods.
The invention has the beneficial effects that:
and the transaction on the blockchain system is interacted with the big data platform to complete the transaction and the supervision process, so that the security and the supervision of the transaction on the blockchain system are ensured.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate 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 block chain system and big data platform fused into a curated digital asset transaction system schematic block diagram 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 flow diagram of the transaction UL separated from settlement according to a preferred embodiment of the present invention;
FIG. 4 is a flow chart of the uplink transaction for "transaction is settlement" according to the preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of a block chain system and big data platform interaction protocol principle according to a preferred embodiment of the present invention;
FIG. 6 is a transaction-to-transaction path diagram and a tracked funds roadmap in accordance with a preferred embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating the principle of tracking participating accounts and funds according to the connection transaction information and account information in accordance with a preferred embodiment of the present invention;
fig. 8 is a diagram illustrating a foreign regulatory rating report in accordance with a preferred embodiment of the present invention.
Detailed Description
In order to make the present invention more comprehensible, the present invention is further described with reference to the accompanying drawings and examples. In the following description, numerous specific details and specific examples are set forth in order to provide a more thorough understanding of the present invention and to provide a thorough understanding of the present invention. While this invention is susceptible of embodiment in many different forms than that described herein, there will be many equivalents to those skilled in the art which incorporate such variations and modifications without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
In the following description, numerous specific details and specific examples are set forth in order to provide a more thorough understanding of the present invention and to provide a thorough understanding of the present invention. While this invention is susceptible of embodiment in many different forms than that described herein, there will be many equivalents to those skilled in the art which incorporate such variations and modifications without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
As shown in fig. 1-2, fig. 1 is a schematic structural diagram of a digital asset transaction system capable of being monitored and controlled by merging a blockchain system and a big data platform, and fig. 2 is an overall structural diagram of a real-time transaction control system.
The embodiment provides a real-time transaction control system based on a block chain and a big data platform, which comprises:
a blockchain system for performing transactions on digital assets (including digital currencies, such as the central bank of digital currencies) and reporting transaction information to a big data platform in real time, wherein the blockchain system may take different transaction flows for performing transactions, but all information of the transactions is reported to the big data platform while existing in the blockchain system, wherein the blockchain system comprises a plurality of nodes, each node maintains a chain with a block thereon, and the blocks are guaranteed not to be tampered with by a hash algorithm;
a big data platform for storing information of the transactions reported by the blockchain system in data tables (tables), data graphs (graphs), or other data structures, dynamically generated and dynamically updated, thereby facilitating querying and engaging in regulatory activities; the big data platform is also used for dynamically adjusting and maintaining the data index; the big data platform is located on a node of at least one block chain 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, and after the data is verified, the data is analyzed to obtain the current transaction situation as the basis of supervision decision; or the big data platform receives relevant supervision information obtained from other reliable units, such as collecting exchange or customer blacklist information from a TRISA system, a STRIA system or other network supervision systems; TRISA is a distributed supervisory system developed by overseas supervision technology companies, and STRIS is a distributed supervisory system developed by China; or the big data platform collects and analyzes information by itself; the big data platform rapidly evaluates whether the transaction is passed or not according to the blacklist and other rating data including data collected and analyzed by the big data platform; and immediately sending the evaluation decision to the block chain platform in real time after the big data is evaluated. The block chain platform determines to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts the relevant information into the blocks, and after the identification, the blocks are linked up; if the final decision is to reject the transaction, the relevant entity or individual, if involved in money laundering activities, may automatically report the information to the supervising entity on a large data platform, a blockchain system, or both;
a storage system using a block-in-block mechanism for storage or a conventional storage mechanism; and
and the network system is used for connecting the block chain system, the big data platform and the storage system.
In a preferred embodiment, the network system is a high-speed network system, and various network devices can be used, including InfiniBand, or other high-speed networks.
As a preferred embodiment, the blockchain system uses an infinitely expandable blockchain system in which transaction and consensus mechanisms are separated and account information and transaction information are stored separately, which can be much more functionally and functionally powerful than conventional blockchain systems. Of course, other blockchain systems or blockchain systems that occur in the future may be used.
As a preferred embodiment, the blockchain system may be a single-stranded, double-stranded, or multi-stranded system; it may also be single chain but maintain multiple chains simultaneously, for example two chains simultaneously in a blockchain system: an account chain and a transaction chain. Double-stranded, multiple-stranded or single-stranded but with multiple internal chains can be supported by the fleet, supporting large concurrent jobs.
As a preferred embodiment, the blockchain system may adopt different transaction processes and data structures, including a ledger-based transaction system, or a token-based transaction system, or a hybrid ledger and token-based transaction system, or a transaction-based transaction process, or a transaction-and-settlement separated transaction process, and these and other systems may be adopted to be applicable to the present invention.
In a preferred embodiment, the blockchain system can be merged with a plurality of big data platforms on different nodes, and the big data platforms work similarly.
As a preferred embodiment, the big data platform can use the big data platform which is commonly used at present and the big data platform which appears 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, the large data platform mostly has a backup redundancy mechanism, such as an automatic 3 backup mechanism, and a data guarantee mechanism. If the blockchain system is very important to trade data, the data may require more backups on a large data platform.
Preferably, the big data platform maintains the index of the data dynamically at all times to increase the speed of the query. The index and data are updated simultaneously. This is supported because large data platforms can perform a large number of parallel computations.
As a preferred embodiment, the big data platform can use a plurality of data sources to fuse the data in the block chain to establish a large-scale analysis and query big data platform.
In a preferred embodiment, when the big data platform performs supervisory computation, the blockchain system can process unrelated transactions simultaneously and in parallel.
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 transaction, namely settlement, and comprises the following steps:
the big data platform collects the transaction data of the block chain system sending the uplink, carries out supervision and inspection on the transaction data, and participates in consensus after the inspection is passed;
after the big data platform sends the transaction data to different records, the big data platform requests to verify the transaction information and verifies whether the transaction is in compliance by using an anti-money laundering algorithm or other supervision algorithms;
sending a supervision approval notice or a supervision refusal notice for the compliant or non-compliant transactions respectively and informing the client of successful or failed transactions respectively;
and re-linking the transaction completion or failure information and the transaction information.
Once a transaction data arrives at the blockchain system, the data is linked up if the transaction is not finished, after the transaction but the settlement is not finished, the linking up is carried out again for the second time, and after the settlement, the linking up is carried out for the third time. If the system also includes other mechanisms, such as clearing, then the 4 th uplink is re-established after the mechanism is completed, such as clearing.
As a preferred embodiment, the first way is to separate the transaction and settlement flow; however, some blockchain trading systems employ "trade is settlement" methods. In systems where the transaction is settlement, the number of uplinks may be reduced appropriately. However, some such systems, although claiming that "the transaction is a settlement" may require a short period of time for settlement, for example the real time settlement system proposed by the central uk, requires only 2 hours of settlement to be a real time settlement. In such systems, the "post-trade settlement" approach is in fact taken, in which case the description herein may be used directly.
As a preferred embodiment, some systems may choose to only uplink 1 or 2 times instead of uplink 3 times. The advantage of linking 3 times is that all steps in all transactions can be tracked, including failed transactions (unable to complete the transaction) and transactions that are rejected before settlement. These repudiated transactions represent issues with the relevant entity or customer, such as participation in money laundering. The 3 uplink guarantees that the relevant information can be reserved, and the reserved information is convenient for future audit.
As shown in fig. 3, the transaction flow under the real-time transaction control method for separating transaction and settlement is shown, where the blockchain transaction system adopts a federation chain manner and adopts a mechanism for separating transaction and settlement, including:
(1) a transaction arrives at the blockchain system, assuming that it has passed through Knowledge of Your Customer (KYC) or similar Customer authentication, for example using the international standard corporate Identifier L (LEI) method. After ascertaining the information of all parties, and determining that the funds and assets are authentic, the uplink transaction is queued as follows.
(2) And queuing the uplink transaction. Any blockchain system may be used, but it is preferred to use a new blockchain system in which the transaction and consensus mechanisms are separate and the transaction and settlement mechanisms are separate. A conventional blockchain system may also be used.
(3) After consensus, the transaction waits for completion:
if the transaction and consensus are separated, the transaction needs to wait for the blockchain system transaction to complete. If there is a "consensus and transaction binding" in this blockchain system, the transaction is completed after the consensus. Whether the transaction is the ' consensus ' or the ' and the ' are separated ', after the transaction is completed, the completed transaction information is linked up for the 2 nd time;
if the transaction is unsuccessful, such as multiple consensus failures (in a mechanism where transaction and consensus are bound), or the transaction is rejected by the system (in a mechanism where transaction and consensus are separated), the transaction is also linked, indicating a transaction failure.
(3) After anti-money laundering (AML) processing, the transaction is successfully settled on a proper account system, and the transaction information comprises the 3 rd chain of settlement completion time.
As a preferred embodiment, if the first operation of the blockchain is KYC, the above procedure needs one more step, and the number of uplink operations can be increased once or kept the same. Some blockchain systems may choose to not link in step 4, and in such systems, the transaction automatically counts as "failed" because no record of the completion of the transaction is found on the system.
As a preferred embodiment, other different identification systems may be used with LEI international standards or in different applications or regions.
As a preferred embodiment, the block chain system may use different consensus protocols including PBFT, CBFT, PoW, etc.
As a preferred embodiment, the embodiment is described by taking a federation chain as an example, but the entire mechanism may also be used on a public chain, or a public chain/federation chain hybrid. On the public link, super nodes can be provided, the nodes can carry out mechanisms such as blocking and voting, and the large data platform can be arranged on the super nodes.
As shown in fig. 4, the second mechanism, the blockchain system, takes a "transaction is settlement" mechanism, which is consistent with steps (1) and (2) of "transaction and settlement separation", but differs from step (3):
(1) before consensus, the big data platform firstly carries out supervision and inspection, and can participate in 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 or not.
(2) After the big data platform is evaluated, the decision information is sent to the blockchain system.
(3) And after receiving the large data platform supervision approval notice, uplink the supervision approval notice, which is the second uplink. And if the big data platform returns a rejection notice, the rejection notice is also uplink-linked. 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 there is a "consensus and transaction binding" in this blockchain system, the transaction is completed after the consensus. Whether "the agreement is a transaction" or the agreement and the transaction are separated, the completed transaction information is linked for the third time after the transaction is completed.
If the transaction fails due to an exception, the failed transaction is linked up, which is also the third time, and the relevant organization and customer are notified.
As a preferred embodiment, some systems may choose to reduce the flow appropriately on the basis of fig. 4, e.g. to only uplink twice, but ensure that the flow needs to be uplink at least once. If the user only links the chain once, the transaction is completed or the chain is linked after rejection; if twice, the middle second winding up may be omitted.
FIG. 5 shows a big data collection data flow, and an interaction protocol of the block chain system and the big data platform is also formed.
(1) When data is uplinked for transactions, whether 1 st, 2 nd, or 3 rd time, data is sent from the blockchain system to the big data platform. The process may be performed in software or may be performed in hardware. Since the flow algorithm is fixed, many steps can be done by hardware.
(2) 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. The account information includes, in addition to the account information, transaction information associated with the account. The account information includes information regarding whether the unit or personal information has been money laundered in the past. The transaction information may be stored by time and transaction categories including normal transactions, money laundering transactions, at-risk transactions.
(3) Since the blockchain transaction is a transaction all at 24 hours, the information comes to the big data platform in 24 hours, and the big data needs to update the database and cannot be stopped.
(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 starts a money laundering or other supervision algorithm to check whether the transaction is compliant or not.
(5) If the block chain system is in compliance, immediately notifying the blockchain system of the completion of the transaction (in a mechanism for transaction and settlement binding) or settlement (in a mechanism for transaction and settlement separation); if not, immediately notifying the blockchain system to reject the transaction (if a transaction and settlement binding mechanism is used) or reject the settlement (if a transaction and settlement separation mechanism is used), and notifying the relevant unit or the client that the transaction fails; if the big data platform cannot decide whether it is compliant, the blockchain system may be notified to temporarily stop the transaction, waiting for the big data to be analyzed more.
(II) big data platform dynamic data composition and management
1. The big data platform has the following relevant data:
(1) transaction units and transaction personal information including unit identifiers such as LEIs, personal identification cards, participation in intelligent contracts, participation data, data sources;
(2) transaction units or past money laundering information;
(3) information such as transaction time, location, success or failure of transaction, etc.;
(4) past relevant money laundering routes, information, history;
(5) participating in intelligent contract information, including intelligent contract lists, historical records and the like;
(6) transaction logs, any information that needs to be recorded in a transaction;
(7) other participating information from the cooperative blockchain system or the big data platform.
The data structure of the big data platform table is shown in table 1:
TABLE 1
Table 2 is a transaction log
TABLE 2
This information may use a conventional big data platform such as HBase. Spark, etc.
(III) information sources
Most of the information of the embodiment comes from the blockchain system, but part of the information can come from the related prediction machine and the data from the crawler. Such as the transaction entity and the transaction personal information, the data from the crawler may be used as a witness in addition to the information provided by the entity. Thus, the information sources may also include information provided by regulatory agencies, stock exchanges, businesses, police, weather, geographic locations, futures exchanges, stock escrow, banks, collaborators, and the like, or by predictive 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 contents of the transaction information, such as information of both transaction parties and information of both transaction institutions, wherein the transaction information comprises funds, asset sources and quantities, and information of participating verification units and the participating verification units, and the information is stored in a table or a graph in the big data. Since this information is constantly entering the big data platform, these tables and graphs are constantly being updated, and the associated data indexes are updated together, the big data platform may update data, update indexes, and process new transactions at the same time. Of course, those skilled in the art can use many tables, graphs, or other data structure designs and algorithms based on the expertise and are within the scope of the present invention.
(V) big data platform analysis process
Since all transaction information including account and transaction information before the time point is processed before, the transaction information is put into the big data platform to check the new transaction, if the information of both parties of the transaction is 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 update at the time point. If the updating is not needed, the next work is directly continued. Verifying that the transaction is not potentially non-compliant, such as money laundering, includes: checking whether the two parties of the transaction have participated in money laundering before; or whether both parties' establishments are involved in money laundering. Many regulatory bodies provide an assessment of the money laundering of an institution as well as an assessment of the money laundering of a customer to comprehensively assess whether this is likely to be a money laundering transaction. For example, whether both parties to the transaction and their registered financial institution have a history of money laundering, and if not, proceed to the next step. If any client or organization has the history of money laundering or is suspected, the transaction is called to stop, and the transaction can not be continued until the transaction is sent to a supervision unit for further investigation and confirmation. Checking whether a certain fund or asset has a money laundering or is in doubt of non-compliance. If the fund or the digital asset is suspected to be money laundering, the transaction is called to stop, and the transaction can not be continued until a supervision unit carries out further investigation and confirmation. Many regulatory bodies can 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 block chain report transaction settlement is finished, updating the data on the big data platform.
In this embodiment, a number of conventional classical anti-money laundering algorithms may be used on large data platforms.
In addition, as a large volume of money laundering histories continue to accumulate on large data platforms, many customers (including institutions or individuals) are identified risk levels by regulatory units. The higher the risk the more dangerous. These risk information is shared by big data platforms and regulatory bodies, for example, overseas regulatory technology companies and regulatory bodies have rated most digital asset trading institutions and individuals, and these ratings are shareable. For example, some institutions are rated as 100% money laundering, and some institutions are rated as 0% no money laundering. Any transaction that passes through 100% money laundering institutions will be rated as money laundering. Individuals or institutional customers participating in these money laundering institution transactions may be rated on a blacklist of "money laundering organizations". These data are dynamically adjusted. Since some institutions or individuals have good records, they may be identified as white lists and their small normal transactions may be passed through quickly. However, whether the white list or the black list is updated at any time, the emergency is prevented.
As a preferred embodiment, because of the large amount of money laundering or the non-compliance of the actual records, the risk of money laundering can be automatically checked using machine learning methods such as deep learning methods. Fig. 8 is a diagram of a foreign regulatory technology company publishing data on the rating of digital asset transactions by some institutions in 2020.
Details of the specific implementation are shown in fig. 6-7: the method mainly adopts an algorithm to count account and fund information when judging whether the user washes money, and judges whether the user washes money by judging whether a money washing organization exists on a fund chain, wherein the algorithm is as follows:
copying one copy of transaction data 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 the transaction blocks, setting an initiator of the ith transaction block as TAi, a transaction receiver as TBi and a transaction amount as Tm, traversing from the first transaction block to search subsequent transactions, when TiA = T1B, independently setting the first block and the ith data block as a related transaction, then continuously searching the transaction blocks TjA = TiB, if the conditions are met, connecting the jth transaction block to the first related transaction block, sequentially traversing all transaction blocks to find first fund link data;
finding the 2 nd, 3 rd and nth transaction chains according to the step 2;
because the transaction chain has the account information of the sender and the receiver, the transaction account chain can be obtained according to the transaction chain;
the money laundering institution is found in all accounts, and all accounts forming a transaction chain with the money laundering institution are judged to participate in money laundering.
In this embodiment, transactions on the blockchain system and interactions on the big data platform are completed, and the transaction and supervision processes are completed, so that the security and the supervision of the transactions 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 understood by those skilled in the art that variations and modifications of the embodiments of the present invention can be made without departing from the scope and spirit of the invention.
Claims (10)
1. A real-time transaction control system based on a block chain and a big data platform is characterized by comprising:
the blockchain system is used for executing digital asset transaction and reporting transaction information to a big data platform in real time, the blockchain system executes the transaction and adopts the same or different transaction processes, all information of the transaction exists in the blockchain system and is reported to the big data platform at the same time, the blockchain system comprises a plurality of nodes, each node maintains a chain, a block is arranged on the chain, and the block is guaranteed not to be tampered through a Hash algorithm;
a big data platform for storing information of the transactions reported by the blockchain system in a data table or data graph, thereby facilitating querying and engaging in supervisory activities, the data table or data graph being dynamically generated and dynamically updated; the big data platform is also used for dynamically adjusting and maintaining the data index; the big data platform is positioned on a node of at least one block chain 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, and after the data is verified, the data is analyzed to obtain the current transaction situation as the basis of supervision decision; or the big data platform receives related supervision information obtained from other reliable units; or the big data platform collects and analyzes information; the big data platform rapidly evaluates whether the transaction is passed or not according to the blacklist and other rating data including data collected and analyzed by the big data platform; after the big data is evaluated, immediately sending an evaluation decision to the block chain system in real time; the blockchain system determines whether to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts the relevant information into the blocks, and after the identification, the blocks are linked up; if the final decision is to reject the transaction, the relevant entity or individual, if involved in money laundering activities, may automatically report the information to the supervising entity on a large data platform, a blockchain system, or both;
the storage system stores transaction information and supervision information by using a block-in-block mechanism or a traditional storage mechanism; and
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.
2. The real-time transaction control system based on the blockchain and big data platform as claimed in claim 1, wherein: the blockchain system uses an infinitely expandable blockchain system, transaction and consensus mechanisms in the infinitely expandable blockchain system are separated, and account information and transaction information are stored separately; the blockchain system may be a single-stranded, double-stranded, or multi-stranded system; the system can also be single-chain, but maintain a plurality of chains at the same time, and the double-chain, the multi-chain or the single-chain but have a plurality of internal chains which can be supported by the cluster to support large-scale concurrent operation; the blockchain system adopts different transaction processes and data structures, and comprises 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 the token, or a transaction process in which the transaction is settlement, or a transaction process in which the transaction and the settlement are separated.
3. The real-time transaction control system based on the blockchain and big data platform as claimed in claim 1, wherein: the block chain system and the big data platforms are fused on different nodes, and the big data platforms execute the same function.
4. The real-time transaction control system based on the blockchain and big data platform as claimed in claim 1, wherein: the big data platform is supported by a cluster or served by a single machine and has a backup redundancy mechanism and a data guarantee mechanism; the big data platform maintains indexes of data dynamically all the time to increase the query speed, the indexes and the data of the data are updated at the same time, and the big data platform fuses data in the block chain system by using multiple data sources to establish a big data platform for large analysis and query.
5. The real-time transaction control system based on the blockchain and big data platform as claimed in claim 1, wherein: when the big data platform carries out supervision calculation, the blockchain system can simultaneously process unrelated transactions in parallel.
6. A real-time transaction control method based on the real-time transaction control system based on blockchain and big data platform of any one of claims 1 to 5, 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, and after the data is verified, the big data platform analyzes the data to obtain the current transaction situation as the basis of supervision decision; or the big data platform receives related supervision information obtained from other reliable units; or the big data platform collects and analyzes information by itself; the big data platform rapidly evaluates whether the transaction is passed or not according to the blacklist and other rating data including data collected and analyzed by the big data platform;
after the big data is evaluated, immediately sending an evaluation decision to the block chain system in real time;
the blockchain system determines whether to complete the transaction or reject the transaction according to the supervision report; whether the transaction is approved to be completed or rejected, the blockchain system immediately puts the relevant information into the blocks, and after the identification, the blocks are linked up; if the final decision is to reject the transaction, the relevant entity or the individual, if involved in money laundering activity, either the big data platform or the blockchain system, or both, automatically report the information involved in money laundering activity to the supervising entity.
7. The real-time transaction control method based on blockchain and big data platform of claim 6, wherein the real-time transaction control method of separating transaction and settlement adopts a mechanism of separating transaction and settlement, comprising:
(1) after the transaction reaches the blockchain system to carry out the first uplink, and after the information of all transaction parties is checked out, the fund and the assets are confirmed to be true, the following queued uplink transaction is carried out;
(2) queuing the uplink transaction, wherein the transaction and consensus mechanism are separated, and the transaction and settlement mechanism are separated;
(3) after consensus, the transaction waits for completion: if the transaction and the consensus are separated, the transaction needs to wait for the blockchain system transaction to be completed; if the block chain system is in consensus and transaction binding, the transaction is completed after consensus;
(4) after the transaction is completed, linking the completed transaction information for the second time;
if the transaction is not successful or the transaction is rejected by the system, the transaction is also linked up, indicating that the transaction failed;
(3) after the money is washed back and the like, the transaction is successfully settled on a proper account system, and the transaction information comprises the 3 rd chain of settlement completion time.
8. The method for controlling real-time transaction based on blockchain and big data platform as claimed in claim 6, wherein the method for controlling real-time transaction that the transaction is settlement comprises:
(1) before consensus, the big data platform firstly conducts supervision and inspection, only can the big data platform participate in consensus through inspection, the block chain system sends the information of the transaction to the big data platform, and the big data platform evaluates whether the transaction is approved or not;
(2) after the big data platform is evaluated, the decision information is transmitted to the block chain system;
(3) after receiving a big data platform supervision approval notice, uplink the supervision approval notice, which is the second uplink; if the big data platform returns a rejection notice, the rejection notice is also uplink-linked; the blockchain system informs the related units of the information of the failure of the transaction with the customer;
(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 consensus and the transaction are bound, the transaction is considered to be completed after the consensus; whether the transaction is identified in common or separated, the transaction information is linked for the third time after the transaction is completed; if the transaction fails due to an exception, the failed transaction is linked up, which is also the third time, and the relevant organization and customer are notified.
9. The real-time transaction control method based on the blockchain and big data platform as claimed in claim 6, wherein the big data platform has the following related data: (1) the trading unit and the trading personal information comprise unit marks including an LEI, a personal identity card, a participation intelligent contract, participation data and a data source; (2) transaction units or past money laundering information; (3) transaction time, location, information on whether the transaction was successful or not; (4) past related money laundering paths, information, history; (5) participating in intelligent contract information, including an intelligent contract list and a history record; (6) transaction logs, any information that needs to be recorded in a transaction; (7) other information participating in the collaboration blockchain system or sent by the big data platform; the information is from data from a blockchain system, a related prediction machine or a crawler, and the information source also comprises information provided by a supervision unit, a stock exchange, a business, a public security, weather, a geographic position, a futures exchange, a stock hosting organization, a bank, a cooperative agency or a prediction machine;
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 and information of both transaction institutions, wherein the transaction information comprises funds, asset sources and quantities, and information of participating verification units and the participating verification units, and the information is stored in a table or a graph in the big data; because the information continuously enters the big data platform, the tables and the graphs are updated all the time, the related data indexes are updated together, and the big data platform can update the data, update the indexes and process new transactions at the same time;
the analysis process of the big data platform comprises the following steps:
since all transaction information including account and transaction information before the time point is processed before, the transaction information is put into the big data platform to check the new transaction, if the information of both transaction parties 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 continues after the update of the time point; if the updating is not needed, the next step of work is directly continued; verifying that the transaction is not likely to be non-compliant includes: checking whether the two parties of the transaction have participated in money laundering before; or whether the institutions of both parties participate in money laundering; the supervising entity provides the money laundering assessment of the institution and the money laundering assessment of the customer to comprehensively assess whether the money laundering transaction is possible, and if not, the next step is carried out;
if any client or organization has the history of money laundering or is suspected, the transaction is called to stop, and the transaction can be continued after the transaction is sent to a supervision unit for further investigation and confirmation; checking whether a certain fund or asset has a suspicion of money laundering or non-compliance;
if the fund or the digital asset is suspected to be money laundering, the transaction is called to stop, and the transaction can be continued after the transaction is sent to a supervision unit for further investigation and confirmation;
many regulatory bodies can provide information about evidence of money laundering for those funds or assets;
notifying the blockchain system that the transaction can be settled;
and after the block chain report transaction settlement is finished, updating the data on the big data platform.
10. The real-time transaction control method based on the blockchain and the big data platform according to claim 6, wherein the real-time transaction control method comprises the following steps: machine learning methods, including deep learning methods, are used to automatically verify the risk of money laundering.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110939856.5A CN114626848B (en) | 2021-08-16 | 2021-08-16 | Real-time transaction control system and method based on blockchain and big data platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110939856.5A CN114626848B (en) | 2021-08-16 | 2021-08-16 | Real-time transaction control system and method based on blockchain and big data platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114626848A true CN114626848A (en) | 2022-06-14 |
| CN114626848B CN114626848B (en) | 2023-10-27 |
Family
ID=81896988
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110939856.5A Active CN114626848B (en) | 2021-08-16 | 2021-08-16 | Real-time transaction control system and method based on blockchain and big data platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114626848B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106375317A (en) * | 2016-08-31 | 2017-02-01 | 北京明朝万达科技股份有限公司 | Block chain-based big data security authentication method and system |
| CN107464118A (en) * | 2017-08-16 | 2017-12-12 | 济南浪潮高新科技投资发展有限公司 | A kind of data trade method based on block chain intelligence contract |
| CN107784546A (en) * | 2016-08-31 | 2018-03-09 | 北京明朝万达科技股份有限公司 | A kind of data trade method and system based on block chain |
| CN108537667A (en) * | 2018-04-09 | 2018-09-14 | 深圳前海微众银行股份有限公司 | Financial asset anti money washing management-control method, equipment and storage medium based on block chain |
| CN109102288A (en) * | 2018-08-13 | 2018-12-28 | 浙江大学 | A kind of assessment and recommender system of the employer-employee relationship based on block chain and big data |
| US20200118127A1 (en) * | 2018-10-12 | 2020-04-16 | Eugenia Roxanne Miller | Child Support & Centralized Distributed Network |
| CN111768181A (en) * | 2020-07-01 | 2020-10-13 | 厦门力含信息技术服务有限公司 | Data clearing system combining big data and credit block chain |
-
2021
- 2021-08-16 CN CN202110939856.5A patent/CN114626848B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106375317A (en) * | 2016-08-31 | 2017-02-01 | 北京明朝万达科技股份有限公司 | Block chain-based big data security authentication method and system |
| CN107784546A (en) * | 2016-08-31 | 2018-03-09 | 北京明朝万达科技股份有限公司 | A kind of data trade method and system based on block chain |
| CN107464118A (en) * | 2017-08-16 | 2017-12-12 | 济南浪潮高新科技投资发展有限公司 | A kind of data trade method based on block chain intelligence contract |
| CN108537667A (en) * | 2018-04-09 | 2018-09-14 | 深圳前海微众银行股份有限公司 | Financial asset anti money washing management-control method, equipment and storage medium based on block chain |
| CN109102288A (en) * | 2018-08-13 | 2018-12-28 | 浙江大学 | A kind of assessment and recommender system of the employer-employee relationship based on block chain and big data |
| US20200118127A1 (en) * | 2018-10-12 | 2020-04-16 | Eugenia Roxanne Miller | Child Support & Centralized Distributed Network |
| CN111768181A (en) * | 2020-07-01 | 2020-10-13 | 厦门力含信息技术服务有限公司 | Data clearing system combining big data and credit block chain |
Non-Patent Citations (1)
| Title |
|---|
| 蔡维德等: "面向大数据的区块链在清算系统中的应用" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114626848B (en) | 2023-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gangwal et al. | A survey of Layer-two blockchain protocols | |
| CN112184199A (en) | Intelligent supply chain block chain BaaS cross-border digital payment platform | |
| Wang et al. | Inter-bank payment system on enterprise blockchain platform | |
| US20230177526A1 (en) | Electronic payment network security | |
| CN110232565B (en) | Resource clearing method, device, computer equipment and storage medium | |
| CN109816532B (en) | Asset digital anchoring system based on block chain technology | |
| CN112053239B (en) | Financial asset transaction cloud platform based on blockchain | |
| WO2017060817A1 (en) | Temporary consensus networks in a resource transfer system | |
| CN111967061A (en) | Credible account transfer transaction method and device based on block chain | |
| CN115204786A (en) | Block chain-based electronic warehouse receipt full life cycle management method, system and medium | |
| CN111724264B (en) | Financial asset trusteeship system based on block chain | |
| CN112651733A (en) | Channel route selection method, device, equipment and storage medium | |
| CN114626848B (en) | Real-time transaction control system and method based on blockchain and big data platform | |
| US20240013207A1 (en) | Method and system for performing electronic transactions | |
| CN115858489A (en) | Transaction processing method and device based on data migration, computer equipment and medium | |
| CN113034159B (en) | Enterprise credible credit assessment system and method based on block chain prediction machine technology | |
| CN114154982B (en) | Real-time settlement and supervision method based on block chain and big data platform | |
| CN114154981B (en) | Interaction method for block chain and big data platform in real-time settlement and supervision system | |
| Kumar | AI techniques in blockchain technology for fraud detection and prevention | |
| IL259284B1 (en) | Network bridge for local transaction authorization | |
| CN112561696A (en) | Anti-money laundering system and method based on machine learning | |
| Eisele et al. | Decentralized computation market for stream processing applications | |
| CN110910091A (en) | Data processing method, device and medium | |
| CN111222876A (en) | Method and system for solving cross-chain coupling | |
| Zhang | Blockchains with Five Merkle Trees to Support Financial Transactions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |