CN110807706A - Anti-money laundering monitored control system based on internet - Google Patents
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Abstract
The invention discloses an anti-money laundering monitoring system based on the Internet, which comprises a transaction acquisition unit, a source acquisition unit, a branch monitoring unit, a transaction locking unit, a continuous supervision unit, a time difference unit, a return amount difference unit, a data analysis unit, a controller, a display unit, a storage unit and a management unit, wherein the transaction acquisition unit is used for acquiring a transaction amount; the invention monitors all transaction information through the transaction acquisition unit, analyzes the transaction and obtains suspicious information; then, monitoring the transaction information through a branch monitoring unit to obtain a suspicious source and a recurrent transaction group of the suspicious information, then respectively carrying out time difference analysis and recurrent transaction group analysis through a time difference unit and a recurrent amount difference unit to obtain a corresponding washing value Q and a recurrent amount difference value, judging whether the suspected money washing is suspected or not through a relevant judgment mode, and reminding a manager of paying attention through a corresponding display unit; the method has the advantages of simple principle, high tracking efficiency and high accuracy and efficiency.
Description
Technical Field
The invention belongs to the field of anti-money laundering monitoring, relates to a money laundering monitoring technology, and particularly relates to an anti-money laundering monitoring system based on the Internet.
Background
Patent publication No. CN109919454A discloses an anti-money laundering monitoring method and system, the method comprising: converting the information input by the user into standard data in a preset format; constructing an anti-money laundering user portrait model through a learning algorithm according to historical transaction and anti-money laundering data; calculating according to the anti-money laundering user portrait model and the standard data to obtain a user suspicious threshold value; acquiring current transaction data of a user, and comparing the transaction data with a user suspicious threshold; and when the transaction data is larger than the user suspicious threshold value, uploading the current transaction data and the user suspicious threshold value to an anti-money laundering system for auditing and storing.
But it does not provide how to track and correlate the data, how to get the final transaction based on the individual transaction data, whether it involves money laundering; in order to provide such a system, a solution is now provided.
Disclosure of Invention
The invention aims to provide an anti-money laundering monitoring system based on the Internet.
The purpose of the invention can be realized by the following technical scheme:
an anti-money laundering monitoring system based on the Internet comprises a transaction acquisition unit, a source acquisition unit, a branch monitoring unit, a transaction locking unit, a continuous supervision unit, a time difference unit, a return amount difference unit, a data analysis unit, a controller, a display unit, a storage unit and a management unit;
the transaction acquisition unit is used for monitoring all transaction information of a transaction network, wherein the transaction information comprises transaction amount, transaction time, transaction source and transaction destination; the transaction source is a transaction initiator, and the transaction destination is a transaction receiver; all transaction information is subjected to preliminary removal to obtain a suspicious information group;
the transaction acquisition unit is used for transmitting the suspicious information group to the source acquisition unit and the branch monitoring unit; the source acquiring unit receives the suspicious information group transmitted by the transaction acquiring unit, acquires the transaction source of the suspicious information group, and marks the suspicious source as the suspicious source;
the branch monitoring unit receives the suspicious information group transmitted by the transaction acquisition unit and analyzes the flow direction of the suspicious information group to obtain a recurrent transaction group;
the branch monitoring unit is used for transmitting the recurrent transaction group to the continuous monitoring unit, and the source acquiring unit is used for transmitting the corresponding suspicious source to the continuous monitoring unit;
the continuous supervision unit is used for respectively transmitting the suspicious source and the recurrent transaction group to the time difference unit and the recurrent amount difference unit;
the time difference unit is used for analyzing the time difference between the suspicious source and the recurrent transaction group, and the specific analysis process is as follows:
s10: acquiring all the recurrent transactions in the recurrent transaction group and the corresponding overlapping transaction number;
s20: optionally, one round transaction and the corresponding number of the stacked transactions are selected, the interval time of each stacked transaction is obtained, and the interval time is marked as Gi, i is 1.. n; the value of n equals the number of stacked transactions;
s30: calculating the average value P of Gi, and calculating the similarity value by formula
S40: summing Gi, and marking the sum value as a recurrent sum value H;
s50: optionally, repeating the steps S20-S40 to obtain similar values Zs of each round transaction to form a similar value set Zsj, wherein j is 1.. m; simultaneously obtaining all round sum value groups Hj, j being 1.. m;
the time difference unit is to transmit the set of similarity values Zsj and the set of round sum values Hj to the data analysis unit;
the return amount difference unit is used for carrying out return amount difference analysis on a suspicious source and a return transaction group, and the specific analysis process is as follows:
SS 01: obtaining a suspicious source and a recurrent transaction group;
SS 02: automatically acquiring all transferred transaction amounts of the suspicious source in the recurrent transaction group, summing all the transaction amounts, and marking the sum as a quota Ce;
SS 03: acquiring the last fold transaction in the recurrent transaction group, namely the transaction direction of the last fold transaction is a suspicious source; acquiring the total amount of all the last word stacking transactions, and marking the total amount as the return amount He;
SS 04: calculating to obtain a back balance difference value Ec by using a formula Ec ═ Ce-He;
the credit difference unit is used for transmitting the credit difference Ec to the data analysis unit;
the data analysis unit is used for carrying out final doubt analysis on the quotum Ce, the return difference value Ec, the similar value group Zsj and the round sum value group Hj, and the final doubt analysis steps are as follows:
s100: obtaining an outamount Ce, a return difference Ec, a similar value group Zsj and a round sum value group Hj;
s200: firstly, comparing Ce with X4, if Ce is more than or equal to X4, performing step S300, otherwise, not performing any processing, and generating a difference elimination signal;
s300: the washing value Q is calculated by the formula
S400: when the back balance difference Ec is satisfied to be within the preset range X5-X6,
generating a moderate money laundering signal if X6< Q ≦ X7;
if Q is less than X6, a high money laundering signal is generated.
Further, the specific method of the preliminary removal is as follows:
the method comprises the following steps: acquiring all transaction information;
step two: optionally selecting transaction information;
step three: acquiring the transaction amount, the transaction time, the transaction source and the transaction destination in the transaction information;
step four: according to the transaction source of the transaction information, the total amount of the transaction amount of each transaction of the same transaction source in a preset time period T1 before and after the transaction time is obtained, and the transaction destination number of the transaction amount is simultaneously obtained, when the total amount exceeds a fixed value X1 and the number exceeds X2, the transaction source corresponding to the transaction information is marked as a suspicious source, and all transaction information in a time period close to T1 corresponding to the suspicious source is marked as a suspicious information group.
Further, the flow direction analyzing step is as follows:
the method comprises the following steps: acquiring all transaction destinations in the suspicious information group, and marking the transaction destinations as branch destinations;
step two: detecting each transaction heading of the branch heading group; optionally, a transaction go;
step three: calibrating the transaction destination as a transaction source again, and monitoring the next transaction destination of the transaction source; the process is called as a stacked transaction, and the number of times of stacked transactions from the transaction source in the initial suspicious information group to the latest transaction is counted as two times, and the times are expressed as the number of stacked transactions;
step four: repeating the second step until the transaction of the last overlapped transaction is sent to the transaction source in the initial suspicious information group to form a round transaction;
if the recurrent transaction is not completed after more than X3 times of overlapping transactions, discarding the transaction source of the suspicious information group without processing the transaction source;
step five: acquiring the next transaction heading, and repeating the steps from three to five until the monitoring of each transaction heading in the suspicious information group is completed; and acquiring all the recurrent transactions and the corresponding overlapping transaction numbers thereof, and fusing to form a recurrent transaction group.
Further, the data analysis unit is used for transmitting the moderate money laundering signal to the controller when the moderate money laundering signal is acquired, the controller is used for transmitting the round transaction group and the moderate money laundering signal to the display unit when the moderate money laundering signal is received, and the display unit receives the round transaction group and the moderate money laundering signal transmitted by the controller and displays that 'the round transaction group + the transaction has the moderate money laundering suspicion, please notice';
the controller is also used for transmitting the recurrent transaction group and the neutral money laundering signal to the storage unit, and the storage unit is used for stamping the recurrent transaction group and the neutral money laundering signal and storing the signals in real time.
Further, the data analysis unit is used for transmitting the high money laundering signal to the controller when the high money laundering signal is acquired, the controller is used for transmitting the round transaction group and the high money laundering signal to the display unit when the high money laundering signal is received, and the display unit receives the round transaction group and the high money laundering signal transmitted by the controller and displays 'the round transaction group + the transaction has a high money laundering suspicion, please notice' in real time;
the controller is also used for transmitting the recurrent transaction group and the high money laundering signal to the storage unit, and the storage unit is used for stamping the recurrent transaction group and the high money laundering signal and storing the signals in real time.
Further, the management unit is used for recording all preset values X1, X2, X3, X4, X5, X6 and X7.
The invention has the beneficial effects that:
the invention monitors all transaction information through the transaction acquisition unit, analyzes the transaction and obtains suspicious information; then, monitoring the transaction information through a branch monitoring unit to obtain a suspicious source and a recurrent transaction group of the suspicious information, then respectively carrying out time difference analysis and recurrent transaction group analysis through a time difference unit and a recurrent amount difference unit to obtain a corresponding washing value Q and a recurrent amount difference value, judging whether the suspected money washing is suspected or not through a relevant judgment mode, and reminding a manager of paying attention through a corresponding display unit; the method has the advantages that the adopted principle is simple, and the tracking efficiency and the accuracy efficiency are high; the invention is simple, effective and easy to use.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an internet-based anti-money laundering monitoring system includes a transaction acquisition unit, a source acquisition unit, a branch monitoring unit, a transaction locking unit, a continuous supervision unit, a time difference unit, a credit difference unit, a data analysis unit, a controller, a display unit, a storage unit and a management unit;
the transaction acquisition unit is used for monitoring all transaction information of a transaction network, wherein the transaction information comprises transaction amount, transaction time, transaction source and transaction destination; the transaction source is a transaction initiator, and the transaction destination is a transaction receiver; and all the transaction information is primarily removed, and the specific method of the primary removal is as follows:
the method comprises the following steps: acquiring all transaction information;
step two: optionally selecting transaction information;
step three: acquiring the transaction amount, the transaction time, the transaction source and the transaction destination in the transaction information;
step four: according to the transaction source of the transaction information, the total amount of the transaction amount of each transaction of the same transaction source in a preset time period T1 before and after the transaction time and the number of destination transaction of the transaction amount are obtained at the same time, when the total amount exceeds a fixed value X1 and the number exceeds X2, the transaction source corresponding to the transaction information is marked as a suspicious source, and all transaction information in a time period close to T1 corresponding to the suspicious source is marked as a suspicious information group;
the transaction acquisition unit is used for transmitting the suspicious information group to the source acquisition unit and the branch monitoring unit;
the source acquiring unit receives the suspicious information group transmitted by the transaction acquiring unit, acquires the transaction source of the suspicious information group, and marks the suspicious source as the suspicious source;
the branch monitoring unit receives the suspicious information group transmitted by the transaction acquisition unit and performs flow direction analysis on the suspicious information group, wherein the flow direction analysis steps are as follows:
the method comprises the following steps: acquiring all transaction destinations in the suspicious information group, and marking the transaction destinations as branch destinations;
step two: detecting each transaction heading of the branch heading group; optionally, a transaction go;
step three: calibrating the transaction destination as a transaction source again, and monitoring the next transaction destination of the transaction source; the process is called as a stacked transaction, and the number of times of stacked transactions from the transaction source in the initial suspicious information group to the latest transaction is counted as two times, and the times are expressed as the number of stacked transactions;
step four: repeating the second step until the transaction of the last overlapped transaction is sent to the transaction source in the initial suspicious information group to form a round transaction;
if the recurrent transaction is not completed after more than X3 times of overlapping transactions, discarding the transaction source of the suspicious information group without processing the transaction source;
step five: acquiring the next transaction heading, and repeating the steps from three to five until the monitoring of each transaction heading in the suspicious information group is completed; acquiring all the recurrent transactions and the corresponding overlapping transaction numbers thereof, and fusing to form a recurrent transaction group;
the branch monitoring unit is used for transmitting the recurrent transaction group to the continuous monitoring unit, and the source acquiring unit is used for transmitting the corresponding suspicious source to the continuous monitoring unit;
the continuous supervision unit is used for respectively transmitting the suspicious source and the recurrent transaction group to the time difference unit and the recurrent amount difference unit;
the time difference unit is used for analyzing the time difference between the suspicious source and the recurrent transaction group, and the specific analysis process is as follows:
s10: acquiring all the recurrent transactions in the recurrent transaction group and the corresponding overlapping transaction number;
s20: optionally, one round transaction and the corresponding number of the stacked transactions are selected, the interval time of each stacked transaction is obtained, and the interval time is marked as Gi, i is 1.. n; the value of n equals the number of stacked transactions;
s30: calculating the average value P of Gi, and calculating the similarity value by formula
S40: summing Gi, and marking the sum value as a recurrent sum value H;
s50: optionally, repeating the steps S20-S40 to obtain similar values Zs of each round transaction to form a similar value set Zsj, wherein j is 1.. m; simultaneously obtaining all round sum value groups Hj, j being 1.. m;
the time difference unit is to transmit the set of similarity values Zsj and the set of round sum values Hj to the data analysis unit;
the return amount difference unit is used for carrying out return amount difference analysis on a suspicious source and a return transaction group, and the specific analysis process is as follows:
SS 01: obtaining a suspicious source and a recurrent transaction group;
SS 02: automatically acquiring all transferred transaction amounts of the suspicious source in the recurrent transaction group, summing all the transaction amounts, and marking the sum as a quota Ce;
SS 03: acquiring the last fold transaction in the recurrent transaction group, namely the transaction direction of the last fold transaction is a suspicious source; acquiring the total amount of all the last word stacking transactions, and marking the total amount as the return amount He;
SS 04: calculating to obtain a back balance difference value Ec by using a formula Ec ═ Ce-He;
the credit difference unit is used for transmitting the credit difference Ec to the data analysis unit;
the data analysis unit is used for carrying out final doubt analysis on the quotum Ce, the return difference value Ec, the similar value group Zsj and the round sum value group Hj, and the final doubt analysis steps are as follows:
s100: obtaining an outamount Ce, a return difference Ec, a similar value group Zsj and a round sum value group Hj;
s200: firstly, comparing Ce with X4, if Ce is more than or equal to X4, performing step S300, otherwise, not performing any processing, and generating a difference elimination signal;
s300: the washing value Q is calculated by the formula
S400: when the back balance difference Ec is satisfied to be within the preset range X5-X6,
generating a moderate money laundering signal if X6< Q ≦ X7;
if Q is less than or equal to X6, generating a high money laundering signal;
the data analysis unit is used for transmitting the moderate money laundering signal to the controller when the moderate money laundering signal is acquired, the controller is used for transmitting the round transaction group and the moderate money laundering signal to the display unit when the moderate money laundering signal is received, and the display unit receives the round transaction group and the moderate money laundering signal transmitted by the controller and displays 'the round transaction group + the transaction is in the moderate money laundering suspicion, please notice' in real time;
the controller is also used for transmitting the recurrent transaction group and the neutral money laundering signal to the storage unit, and the storage unit is used for stamping a time stamp on the recurrent transaction group and the neutral money laundering signal and storing the signals in real time;
the data analysis unit is used for transmitting a high money laundering signal to the controller when the high money laundering signal is obtained, the controller is used for transmitting the round transaction group and the high money laundering signal to the display unit when the high money laundering signal is received, and the display unit receives the round transaction group and the high money laundering signal transmitted by the controller and displays that 'the round transaction group + the transaction has a high money laundering suspicion, please notice';
the controller is also used for transmitting the recurrent transaction group and the high money laundering signal to the storage unit, and the storage unit is used for stamping a time stamp on the recurrent transaction group and the high money laundering signal and storing the signals in real time;
the management unit is used for recording all preset values X1, X2, X3, X4, X5, X6 and X7.
An anti-money laundering monitoring system based on the Internet monitors all transaction information through a transaction acquisition unit and analyzes the transaction to obtain suspicious information; then, monitoring the transaction information through a branch monitoring unit to obtain a suspicious source and a recurrent transaction group of the suspicious information, then respectively carrying out time difference analysis and recurrent transaction group analysis through a time difference unit and a recurrent amount difference unit to obtain a corresponding washing value Q and a recurrent amount difference value, judging whether the suspected money washing is suspected or not through a relevant judgment mode, and reminding a manager of paying attention through a corresponding display unit; the method has the advantages that the adopted principle is simple, and the tracking efficiency and the accuracy efficiency are high; the invention is simple, effective and easy to use.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. An anti-money laundering monitoring system based on the Internet is characterized by comprising a transaction acquisition unit, a source acquisition unit, a branch monitoring unit, a transaction locking unit, a continuous supervision unit, a time difference unit, a return amount difference unit, a data analysis unit, a controller, a display unit, a storage unit and a management unit;
the transaction acquisition unit is used for monitoring all transaction information of a transaction network, wherein the transaction information comprises transaction amount, transaction time, transaction source and transaction destination; the transaction source is a transaction initiator, and the transaction destination is a transaction receiver; all transaction information is subjected to preliminary removal to obtain a suspicious information group;
the transaction acquisition unit is used for transmitting the suspicious information group to the source acquisition unit and the branch monitoring unit; the source acquiring unit receives the suspicious information group transmitted by the transaction acquiring unit, acquires the transaction source of the suspicious information group, and marks the suspicious source as the suspicious source;
the branch monitoring unit receives the suspicious information group transmitted by the transaction acquisition unit and analyzes the flow direction of the suspicious information group to obtain a recurrent transaction group;
the branch monitoring unit is used for transmitting the recurrent transaction group to the continuous monitoring unit, and the source acquiring unit is used for transmitting the corresponding suspicious source to the continuous monitoring unit;
the continuous supervision unit is used for respectively transmitting the suspicious source and the recurrent transaction group to the time difference unit and the recurrent amount difference unit;
the time difference unit is used for analyzing the time difference between the suspicious source and the recurrent transaction group, and the specific analysis process is as follows:
s10: acquiring all the recurrent transactions in the recurrent transaction group and the corresponding overlapping transaction number;
s20: optionally, one round transaction and the corresponding number of the stacked transactions are selected, the interval time of each stacked transaction is obtained, and the interval time is marked as Gi, i is 1.. n; the value of n equals the number of stacked transactions;
s30: calculating the average value P of Gi, and calculating the similarity value by formula
S40: summing Gi, and marking the sum value as a recurrent sum value H;
s50: optionally, repeating the steps S20-S40 to obtain similar values Zs of each round transaction to form a similar value set Zsj, wherein j is 1.. m; simultaneously obtaining all round sum value groups Hj, j being 1.. m;
the time difference unit is to transmit the set of similarity values Zsj and the set of round sum values Hj to the data analysis unit;
the return amount difference unit is used for carrying out return amount difference analysis on a suspicious source and a return transaction group, and the specific analysis process is as follows:
SS 01: obtaining a suspicious source and a recurrent transaction group;
SS 02: automatically acquiring all transferred transaction amounts of the suspicious source in the recurrent transaction group, summing all the transaction amounts, and marking the sum as a quota Ce;
SS 03: acquiring the last fold transaction in the recurrent transaction group, namely the transaction direction of the last fold transaction is a suspicious source; acquiring the total amount of all the last word stacking transactions, and marking the total amount as the return amount He;
SS 04: calculating to obtain a back balance difference value Ec by using a formula Ec ═ Ce-He;
the credit difference unit is used for transmitting the credit difference Ec to the data analysis unit;
the data analysis unit is used for carrying out final doubt analysis on the quotum Ce, the return difference value Ec, the similar value group Zsj and the round sum value group Hj, and the final doubt analysis steps are as follows:
s100: obtaining an outamount Ce, a return difference Ec, a similar value group Zsj and a round sum value group Hj;
s200: firstly, comparing Ce with X4, if Ce is more than or equal to X4, performing step S300, otherwise, not performing any processing, and generating a difference elimination signal;
s300: the washing value Q is calculated by the formula
S400: when the back balance difference Ec is satisfied to be within the preset range X5-X6,
generating a moderate money laundering signal if X6< Q ≦ X7;
if Q is less than X6, a high money laundering signal is generated.
2. The internet-based money laundering monitoring system according to claim 1, wherein the preliminary elimination is performed by:
the method comprises the following steps: acquiring all transaction information;
step two: optionally selecting transaction information;
step three: acquiring the transaction amount, the transaction time, the transaction source and the transaction destination in the transaction information;
step four: according to the transaction source of the transaction information, the total amount of the transaction amount of each transaction of the same transaction source in a preset time period T1 before and after the transaction time is obtained, and the transaction destination number of the transaction amount is simultaneously obtained, when the total amount exceeds a fixed value X1 and the number exceeds X2, the transaction source corresponding to the transaction information is marked as a suspicious source, and all transaction information in a time period close to T1 corresponding to the suspicious source is marked as a suspicious information group.
3. The internet-based anti-money laundering monitoring system according to claim 1, wherein the flow direction analyzing step is as follows:
the method comprises the following steps: acquiring all transaction destinations in the suspicious information group, and marking the transaction destinations as branch destinations;
step two: detecting each transaction heading of the branch heading group; optionally, a transaction go;
step three: calibrating the transaction destination as a transaction source again, and monitoring the next transaction destination of the transaction source; the process is called as a stacked transaction, and the number of times of stacked transactions from the transaction source in the initial suspicious information group to the latest transaction is counted as two times, and the times are expressed as the number of stacked transactions;
step four: repeating the second step until the transaction of the last overlapped transaction is sent to the transaction source in the initial suspicious information group to form a round transaction;
if the recurrent transaction is not completed after more than X3 times of overlapping transactions, discarding the transaction source of the suspicious information group without processing the transaction source;
step five: acquiring the next transaction heading, and repeating the steps from three to five until the monitoring of each transaction heading in the suspicious information group is completed; and acquiring all the recurrent transactions and the corresponding overlapping transaction numbers thereof, and fusing to form a recurrent transaction group.
4. The internet-based anti-money laundering monitoring system according to claim 1, wherein the data analysis unit is configured to transmit the medium money laundering signal to the controller when the medium money laundering signal is obtained, the controller is configured to transmit the round transaction group and the medium money laundering signal to the display unit when the medium money laundering signal is received, and the display unit receives the round transaction group and the medium money laundering signal transmitted by the controller and displays "the round transaction group + the transaction is suspected of medium money laundering, please note" in real time;
the controller is also used for transmitting the recurrent transaction group and the neutral money laundering signal to the storage unit, and the storage unit is used for stamping the recurrent transaction group and the neutral money laundering signal and storing the signals in real time.
5. The internet-based anti-money laundering monitoring system according to claim 1, wherein the data analysis unit is configured to transmit the high money laundering signal to the controller when the high money laundering signal is obtained, the controller is configured to transmit the round transaction group and the high money laundering signal to the display unit when the high money laundering signal is received, and the display unit receives the round transaction group and the high money laundering signal transmitted by the controller and displays "the round transaction group + the transaction has a suspicion of high money laundering, please note" in real time;
the controller is also used for transmitting the recurrent transaction group and the high money laundering signal to the storage unit, and the storage unit is used for stamping the recurrent transaction group and the high money laundering signal and storing the signals in real time.
6. The internet-based money laundering monitoring system according to claim 1, wherein said managing unit is configured to enter all of the preset values X1, X2, X3, X4, X5, X6, and X7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100004981A1 (en) * | 2002-07-12 | 2010-01-07 | Elazar Katz | Dynamic anti-money laundering system and methodology for providing situational-specific risk assessment determinations |
| CN101739648A (en) * | 2008-11-04 | 2010-06-16 | 上海迪哈大计算机科技有限公司 | Control method and control system for monitoring financial assets |
| CN104199832A (en) * | 2014-08-01 | 2014-12-10 | 西安理工大学 | Financial network unusual transaction community finding method based on information entropy |
| CN107085812A (en) * | 2016-12-06 | 2017-08-22 | 雷盈企业管理（上海）有限公司 | The anti money washing system and method for block chain digital asset |
| CN108230151A (en) * | 2018-01-16 | 2018-06-29 | 平安科技（深圳）有限公司 | A kind of suspicious transaction detection method, apparatus, equipment and storage medium |
| CN109345375A (en) * | 2018-09-27 | 2019-02-15 | 中国银行股份有限公司 | A kind of suspicious money laundering Activity recognition method and device |
-
2019
- 2019-12-02 CN CN201911213630.6A patent/CN110807706B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100004981A1 (en) * | 2002-07-12 | 2010-01-07 | Elazar Katz | Dynamic anti-money laundering system and methodology for providing situational-specific risk assessment determinations |
| CN101739648A (en) * | 2008-11-04 | 2010-06-16 | 上海迪哈大计算机科技有限公司 | Control method and control system for monitoring financial assets |
| CN104199832A (en) * | 2014-08-01 | 2014-12-10 | 西安理工大学 | Financial network unusual transaction community finding method based on information entropy |
| CN107085812A (en) * | 2016-12-06 | 2017-08-22 | 雷盈企业管理（上海）有限公司 | The anti money washing system and method for block chain digital asset |
| CN108230151A (en) * | 2018-01-16 | 2018-06-29 | 平安科技（深圳）有限公司 | A kind of suspicious transaction detection method, apparatus, equipment and storage medium |
| CN109345375A (en) * | 2018-09-27 | 2019-02-15 | 中国银行股份有限公司 | A kind of suspicious money laundering Activity recognition method and device |
Non-Patent Citations (3)
| Title |
|---|
| JEONG 等: ""Propose a Prototype of Anti-Money Laundering Monitoring System for Supporting Financial Business"", 《JOURNAL OF KOREAN INSTITUTE OF INFORMATION TECHNOLOGY》 * |
| 刘丽洪等: "大数据技术在反洗钱可疑交易分析监测领域应用探析", 《北京金融评论》 * |
| 汤俊: ""基于可疑金融交易识别的离群模式挖掘研究"", 《中国博士学位论文全文数据库信息科技辑》 * |
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