CN107085812A - The anti money washing system and method for block chain digital asset - Google Patents
The anti money washing system and method for block chain digital asset Download PDFInfo
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Abstract
The anti money washing system and method for the block chain digital asset that the present invention is provided, by from data source gathered data and storing；The block chain digital asset transaction data is analyzed according at least to default suspicious trading rules, to assess the risk class for the transaction address participated in business；The corresponding recipient address in the side of transferring accounts address that risk class is higher than default risk level threshold is tracked, and generates the first case report and forms case and stored；Distinguish the transaction address for meeting suspicious trading rules and analysis is carried out to its block chain digital asset transaction data and produce suspicious transaction address analysis report, and the second case report of generation and form case and stored；By extracting data, to monitor each transaction on block chain, a set of flexible anti money washing monitoring system and address lookup system are set up, interested regulatory authorities is met and needs is managed to digital asset anti money washing.
Description
Technical field
The present invention relates to the technical field of anti money washing strategy in the transaction of block chain digital asset, more particularly to block chain number
The anti money washing system and method for word assets.
Background technology
Block chain (blockchain) is a kind of distributed data base, originates from bit coin, itself have it is distributed, go
It is situated between, goes to trust, the feature such as can not distort, may be programmed.Block chain is distributed storage, point-to-point transmission, common recognition mechanism, encryption calculation
The new application pattern of the computer technologies such as method；Common recognition mechanism be realize in block catenary system set up between different nodes trust,
Obtain the mathematical algorithm of rights and interests.The common recognition mechanism that current block chain is used mainly has proof of work (PoW), and rights and interests are proved
(PoS), share authorisation verification mechanism (DPoS), auspicious ripple common recognition agreement (Ripple).Herein using bit coin block chain as main
Illustrate, but its principle is equally applicable to the block chain of other common recognition mechanism.
Block chain digital asset is present with calculation code, computer program, than top grade form, is registered in block chain or is divided
Fictitious assets on cloth account book；It is that one kind is operated, without manual intervention by algorithm for encryption, point-to-point circulation, intellectuality
The assets of automatic running；Also, block chain digital asset is most of to be existed in the form of electronic money, beyond tradition assets security
The method of change, assets power, circulation and other operations really on block chain or distributed account book are realized by digitized approach
Perform, the block chain digital asset can be existing digital cash form, such as bit coin, Lay spy's coin etc. or
Program, code etc..
It is that existing most ripe block chain technology is realized, because it is anonymous as the digital cash bit coin that market value is maximum
Property and transaction address blender exist, be easily used for money laundering；So-called money laundering, refers to the income by income generated in violation of the regulations and its generation, leads to
Cross various means to cover up, conceal its source and property, the behavior for making it legalize in form, its harm is huge.
Therefore, it is particularly important for the anti money washing monitoring that block chain digital asset is merchandised, how generates a set of block
The anti money washing mechanism and system of chain digital asset turn into industry urgent problem to be solved.
The content of the invention
The shortcoming of prior art in view of the above, it is an object of the invention to provide the anti money washing of block chain digital asset
System and method, solves the problems of the prior art.
In order to achieve the above objects and other related objects, the present invention provides a kind of anti money washing system of block chain digital asset
System, including：Acquisition module, for from data source gathered data；Memory module, for storing the gathered data；Wherein, it is described
Storage content at least includes：The transaction address of block chain digital asset transaction data and correlation；Wherein, the transaction address bag
Include：The side of transferring accounts address and recipient address；Address risk evaluation module, for coming according at least to default suspicious trading rules to institute
State block chain digital asset transaction data to be analyzed, to assess the risk class for the transaction address participated in business；Address filtering
Module, the corresponding recipient address in the side of transferring accounts address for being higher than default risk level threshold to risk class is tracked,
And generate the first case report and formed case stored；Suspicious transaction monitoring module, meets suspicious transaction rule for distinguishing
Transaction address then simultaneously carries out analysis to its block chain digital asset transaction data and produces suspicious transaction address analysis report, and be raw
Into the second case report and form case and stored.
In one embodiment of the invention, the data source include it is following in one or more：1) block chain digital asset
Block information on block chain；2) user profile from block chain digital asset exchange；3) presence from official is washed
The blacklist of the transaction address of money criminal offence；4) white list from the transaction address that there are a large amount of bit coin mechanism of exchange；
5) transaction address from the third-party institution, wherein, the third-party institution includes：Block chain digital asset wallet mechanism or
Third-party payment mechanism；6) address is paid special attention to.
In one embodiment of the invention, the mode of the data acquisition include it is following in one or more：1) block counts
According to acquisition modes, it includes：Set up and be connected to receive block data with communication node；Block data is parsed into readable information,
And stored；2) third party's data acquiring mode, it includes：Interface is set up with the third-party institution to be connected with gathered data；It is right
Institute's gathered data is stored after data cleansing；3) indirect data acquisition modes, it includes：Produce the participation tracked after transaction
The transaction address of transaction.
In one embodiment of the invention, the storage content includes：Belong to the transaction address of blacklist；It is described to belonging to
Risk class of the transaction address distribution higher than the default risk level threshold of blacklist.
In one embodiment of the invention, the transaction address for belonging to blacklist includes：Drug trade address, weapon are handed over
Easy address, pornographic transaction address, deep net chained address, terrified financing address, fund extort address, crime transaction address and mixing
Device produces one or more in address.
In one embodiment of the invention, the storage content includes：Known address and unknown address；Wherein, it is described
Know that address includes the transaction address blacklist and transaction address white list.
In one embodiment of the invention, the suspicious trading rules include it is following in one or more：1) odd-numbered day transfers accounts
Number of times exceedes threshold value；2) behavior of transferring accounts of the block chain digital asset more than reserve quota occurs for the odd-numbered day；3) preset in the time limit and turn
Account number of times exceedes threshold value；4) that presets block chain digital asset of being transferred accounts in the time limit overbalances threshold value；5) preset in the time limit and exceed
The transaction address of predetermined quantity is transferred accounts to same transaction address overbalances the block chain digital asset of threshold value；6) preset in the time limit
Same transaction address is transferred accounts to the transaction address of a predetermined level is exceeded overbalances the block chain digital asset of threshold value；7) expected time of arrival
The transaction address of transaction more than limit is not produced, and emergence overbalances the transaction of the block chain digital asset of threshold value；8) time limit is preset
Interior trading volume is less than first threshold, and the transaction of the block chain digital asset of Second Threshold is overbalanced in a short time；9) transaction ground
The IP address of location correspondence money laundering prone areas.
In one embodiment of the invention, the side of the transferring accounts address pair that default risk level threshold is higher than to risk class
The recipient address answered is tracked, including：Judge that the recipient address whether there is with blender address to associate；If so,
Then follow the trail of to the terminal of the blender, and judge whether to continue to follow the trail of；If can not, judge the recipient address as
Blender address；If can or if it is not, if analyze other transaction addresses for being associated with the recipient address.
In one embodiment of the invention, the analysis mode includes：Address information degree is analyzed or clustering.
In one embodiment of the invention, the address filtering module is additionally operable to chase after to the recipient address
During track, the IP address of each transaction address to tracking is tracked.
In order to achieve the above objects and other related objects, the present invention provides a kind of anti money washing side of block chain digital asset
Method, including：From data source gathered data and store, the storage content at least includes：Block chain digital asset transaction data and
Related transaction address；Wherein, the transaction address includes：The side of transferring accounts address and recipient address；According at least to default suspicious
Trading rules are analyzed the block chain digital asset transaction data, to assess the risk for the transaction address participated in business
Grade；The corresponding recipient address in the side of transferring accounts address for being higher than default risk level threshold to risk class is tracked, and raw
Into the first case report and formed case stored；Discrimination meets the transaction address of suspicious trading rules and to its block chain number
Word transaction in assets data carry out analysis and produce suspicious transaction address analysis report, and the second case report of generation and form case and add
To store.
In one embodiment of the invention, the data source include it is following in one or more：1) block chain digital asset
Block information on block chain；2) user profile from block chain digital asset exchange；3) presence from official is washed
The blacklist of the transaction address of money criminal offence；4) white list from the transaction address that there are a large amount of bit coin mechanism of exchange；
5) transaction address from the third-party institution, wherein, the third-party institution includes：Block chain digital asset wallet mechanism or
Third-party payment mechanism；6) address is paid special attention to.
In one embodiment of the invention, the mode of the data acquisition include it is following in one or more：1) block counts
According to acquisition modes, it includes：Set up and be connected to receive block data with communication node；Block data is parsed into readable information,
And stored；2) third party's data acquiring mode, it includes：Interface is set up with the third-party institution to be connected with gathered data；It is right
Institute's gathered data is stored after data cleansing；3) indirect data acquisition modes, it includes：Produce the participation tracked after transaction
The transaction address of transaction.
In one embodiment of the invention, the storage content includes：Belong to the transaction address of blacklist；It is described to belonging to
Risk class of the transaction address distribution higher than the default risk level threshold of blacklist.
In one embodiment of the invention, the transaction address for belonging to blacklist includes：Drug trade address, weapon are handed over
Easy address, pornographic transaction address, deep net chained address, terrified financing address, fund extort address, crime transaction address and mixing
Device produces one or more in address.
In one embodiment of the invention, the storage content includes：Known address and unknown address；Wherein, it is described
Know that address includes the transaction address blacklist and transaction address white list.
In one embodiment of the invention, the suspicious trading rules include it is following in one or more：1) odd-numbered day transfers accounts
Number of times exceedes threshold value；2) behavior of transferring accounts of the block chain digital asset more than reserve quota occurs for the odd-numbered day；3) preset in the time limit and turn
Account number of times exceedes threshold value；4) that presets block chain digital asset of being transferred accounts in the time limit overbalances threshold value；5) preset in the time limit and exceed
The transaction address of predetermined quantity is transferred accounts to same transaction address overbalances the block chain digital asset of threshold value；6) preset in the time limit
Same transaction address is transferred accounts to the transaction address of a predetermined level is exceeded overbalances the block chain digital asset of threshold value；7) expected time of arrival
The transaction address of transaction more than limit is not produced, and emergence overbalances the transaction of the block chain digital asset of threshold value；8) time limit is preset
Interior trading volume is less than first threshold, and the transaction of the block chain digital asset of Second Threshold is overbalanced in a short time；9) transaction ground
The IP address of location correspondence money laundering prone areas.
In one embodiment of the invention, the side of the transferring accounts address pair that default risk level threshold is higher than to risk class
The recipient address answered is tracked, including：Judge that the recipient address whether there is with blender address to associate；If so,
Then follow the trail of to the terminal of the blender, and judge whether to continue to follow the trail of；If can not, judge the recipient address as
Blender address；If can or if it is not, if analyze other transaction addresses for being associated with the recipient address.
In one embodiment of the invention, the analysis mode includes：Address information degree is analyzed or clustering.
In one embodiment of the invention, described anti money washing method, including：It is tracked to the recipient address
During, the IP address of each transaction address to tracking is tracked.
As described above, the anti money washing system and method for the block chain digital asset that the present invention is provided, by being adopted from data source
Collection data are simultaneously stored；The block chain digital asset transaction data is analyzed according at least to default suspicious trading rules,
To assess the risk class for the transaction address participated in business；It is higher than the side of the transferring accounts address of default risk level threshold to risk class
Corresponding recipient address is tracked, and generate the first case report and formed case stored；Discrimination meets suspicious friendship
The transaction address of easy rule simultaneously carries out the suspicious transaction address analysis report of analysis generation to its block chain digital asset transaction data,
And the second case report of generation and form case and stored；By extracting data, to monitor each transaction on block chain,
A set of flexible anti money washing monitoring system and address lookup system are set up, interested regulatory authorities are met to digital asset anti money washing pipe
Reason needs.
Brief description of the drawings
Fig. 1 is shown as the structural representation of present invention anti money washing system of block chain digital asset in an embodiment.
Fig. 2 is shown as the present invention graphical interfaces schematic diagram that anti money washing is monitored in an embodiment.
Fig. 3 is shown as in Fig. 2 the graphical interfaces schematic diagram that " black/white name single-address " entrance enters.
Fig. 4 is shown as in Fig. 2 the graphical interfaces schematic diagram of " address risk assessment " entrance entrance.
Fig. 5 is shown as in Fig. 2 the graphical interfaces schematic diagram of " suspicious transaction monitoring " entrance entrance.
Fig. 6 is shown as in Fig. 2 " the graphical interfaces schematic diagram that case " center " entrance enters.
Fig. 7 is shown as in Fig. 4 the address Risk Assessment Report page schematic diagram of " address Risk Assessment Report " entrance entrance.
Fig. 8 is shown as the statistical graph that the present invention monitors the accumulative bit coin amount that address is received in an embodiment.
Fig. 9 is shown as the statistical graph that the present invention monitors the accumulative bit coin amount that address is produced in an embodiment.
Figure 10 is shown as the statistical graph that the present invention adds up bit coin amount in an embodiment to report same day monitoring address.
Figure 11 is shown as the careful accumulative bit coin of association of the present invention to report same day monitoring address in an embodiment
The statistical graph of amount.
Figure 12 is shown as the schematic flow sheet of present invention anti money washing method in an embodiment.
Component label instructions
1 anti money washing system
11 acquisition modules
12 memory modules
13 address risk evaluation modules
14 address filtering modules
15 suspicious transaction monitoring modules
S1~S4 steps
Embodiment
Illustrate embodiments of the present invention below by way of specific instantiation, those skilled in the art can be by this specification
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through specific realities different in addition
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.It should be noted that, in the case where not conflicting, following examples and implementation
Feature in example can be mutually combined.
It should be noted that the diagram provided in following examples only illustrates the basic structure of the present invention in a schematic way
Think, then in schema only display with relevant component in the present invention rather than according to component count, shape and the size during actual implement
Draw, it is actual when implementing, and kenel, quantity and the ratio of each component can be a kind of random change, and its assembly layout kenel
It is likely more complexity.
Technical scheme is applied to money laundering behavior and address in the digital asset transaction of monitoring block chain, block chain
Digital asset is present in forms such as calculation code, computer program, bit coin, is registered on block chain or distributed account book
Fictitious assets；Be a kind of process algorithm for encryption, point-to-point circulation, intelligent running, without manual intervention automatic running money
Production；Also, block chain digital asset is most of to be existed in the form of electronic money, and the method for beyond tradition asset securitization is led to
Cross digitized approach and realize that assets are weighed, circulated and other operation execution, the area really on block chain or distributed account book
Block chain digital asset can be existing digital cash form, such as bit coin, Lay spy's coin etc. or program, code etc..
As shown in figure 1, the present invention provides a kind of anti money washing system 1 of block chain digital asset, including：Acquisition module 11,
Memory module 12, address risk evaluation module 13, address filtering module 14 and suspicious transaction monitoring module 15.
The acquisition module 11, for from data source gathered data.In one embodiment of the invention, the data source bag
Include it is following in one or more：
1) block information of the block chain digital asset on block chain, it is the block information based on bit coin block chain,
Such as transaction count, exchange hour is stabbed, turnover etc.；
2) user profile from block chain digital asset exchange, such as user's registration information；
3) blacklist of the transaction address of the presence crime of laundering behavior from official, such as Central Bank supervise list, locally
Banking supervision list etc.；
4) white list from the transaction address that there are a large amount of bit coin mechanism of exchange, such as exchange, bit coin is paid
Network gaming establishment etc.；
5) transaction address from the third-party institution, wherein, the third-party institution includes：Block chain digital asset wallet
Mechanism or Third-party payment mechanism；
6) address is paid special attention to, for example occurred the exchange of block chain digital asset theft (as stolen coin) just merchandises ground
Location, the wholesale side of transferring accounts address when historical figures assets rise suddenly and sharply or slumped, and the account address that other needs are paid special attention to.
It should be noted that, the address refers to account identification used during the transaction of block chain digital asset, is similar to
Address used in the transaction of the card number of bank card, such as bit coin is a string code, and its generating mode is to bit coin private key
Encryption and coding through 9 steps are obtained, and detailed process is not described in detail to be existing；The address participated in business is claimed herein
For transaction address, so as to analyze the suspicion that transaction address (such as transferring accounts or receive block chain digital asset) whether there is money laundering.
It is corresponding, the acquisition mode include it is following in one or more：
1) block data acquisition modes, it includes：Set up and be connected to receive block data with communication node；By block data
Readable information is parsed into, and is stored；
2) third party's data acquiring mode, it includes：Interface is set up with the third-party institution to be connected with gathered data；To being adopted
Collection data are stored after data cleansing；
3) indirect data acquisition modes, it includes：Actively produce and followed the trail of after transaction to merchandising with exchange, payment mechanism etc.
Or mechanism wallet address.
It is preferred that, the address gathered different by type can carry out distinguishing mark, so that follow-up distinguish stores, such as right
Unknown address and known address make a distinction mark, and mark is made a distinction to the blacklist address and white list address in known address
Note etc..
The memory module 12, for storing the gathered data；Wherein, the storage content at least includes：Block chain
The transaction address of digital asset transaction data and correlation.
Optionally, gather the data come to be put into according to the difference of type and purpose among different databases, for address
For, can respectively it be stored according to its mark；The data type stored may include it is following in one or more：
1) block information database：Preserve the data message on block chain；
2) trading information data storehouse：Preserve the Transaction Information of exchange user；
3) address information database：Preserve existing all addresses；
4) known address database：Preservation has been marked or disclosed address, including blacklist address date
Storehouse, white list address database；
5) unknown address database：Preservation can not follow the trail of it and belong to mechanism or proprietary address；
6) case data database：Preserve the anti money washing case data having been acknowledged, including structural data and character property
Non-structural data, the case for after provide reference pair photograph.
Therefrom visible, labeled address is stored in the database of known address as known address.In addition, in vain
Name single-address also will be stored in this database.White list address refers to that those are likely to belong to the regular but non-of suspicious transaction and washed
The address of money transaction.Generally there is substantial amounts of bit coin transaction in these addresses, such as digital transaction in assets institute and utilization bit coin branch
The network gaming establishment paid；Address attribution machine can not be tracked outside address in except black, white list and labeled address
The address of structure or individual are unknown address, are stored in unknown address database.
The address risk evaluation module 13, for coming according at least to default suspicious trading rules to block chain numeral
Transaction in assets data are analyzed, to assess the risk class for the transaction address participated in business.
In one embodiment of the invention, the risk class such as " height ", " in ", " low ", or the form such as A, B, C.
In one embodiment of the invention, the suspicious trading rules include it is following in one or more：
1) odd-numbered day number of times of transferring accounts frequently is transferred accounts more than threshold value, i.e. odd-numbered day；
2) behavior of transferring accounts of the block chain digital asset more than reserve quota occurs for the odd-numbered day, i.e. odd-numbered day wholesale is transferred accounts；
3) number of times of transferring accounts was preset in the time limit more than threshold value, and number of times of for example transferring accounts in a short time is more than 20 times；
4) that presets block chain digital asset of being transferred accounts in the time limit overbalances threshold value, and bit coin of for example transferring accounts in a short time exceedes
25；
5) transaction address of a predetermined level is exceeded is transferred accounts to same transaction address and overbalances the area of threshold value in the default time limit
Block chain digital asset, i.e., in a short time a large amount of accounts toward same account transfer wholesale bit coin；
6) same transaction address is transferred accounts to the transaction address of a predetermined level is exceeded and overbalances the area of threshold value in the default time limit
Block chain digital asset, i.e., in a short time same account toward a large amount of account transfer wholesale bit coin；
7) transaction address of transaction more than intended duration is not produced, and emergence overbalances the block chain digital asset of threshold value
Transaction, for example, do not occur after transaction, more than 10 bit coin of coin number of transferring accounts for a long time；
8) preset trading volume in the time limit and be less than first threshold, the block chain numeral money of Second Threshold is overbalanced in a short time
The transaction of production, such as long-term trade amount is on the low side, occurs wholesale in a short time suddenly and transfers accounts behavior.
9) IP address of transaction address correspondence money laundering prone areas.
Within described short-term for example, 5 days；Described is, for example, more than half a year for a long time；The wholesale can be transaction coin number list
Pen is accumulative more than transaction criteria, such as 20 bit coin；The odd-numbered day transaction count threshold value be, for example, 10 with first-class, this
It is all citing, rather than as limit.
Pass through above-mentioned each trading rules, you can the trading activity that transaction address is participated in is analyzed, to understand the transaction
Address is used for the degree of risk of money laundering, for example, meet and wherein exceed a few Xiang Zewei excessive risks, or to meet a few Xiang Zewei medium
Risk etc.；Address in blacklist can distribute high-risk grade, and during the address for meeting above-mentioned suspicious trading rules is then
Or low-risk.
The address filtering module 14, the side of the transferring accounts address correspondence for being higher than default risk level threshold to risk class
Recipient address be tracked, and generate the first case report and formed case stored.
The suspicious transaction monitoring module 15, meets the transaction address of suspicious trading rules and to its block chain for distinguishing
Digital asset transaction data carries out analysis and produces suspicious transaction address analysis report, and generates the second case report and form case
Stored.
Specifically, if address A, which transfers accounts, gives address B, when A is blacklist or excessive risk address, it will triggering system
B addresses are tracked：
The first step, when finding that the A addresses in blacklist produce transaction, it will attempt to recipient B addresses (or more
It is many) it is tracked；When B addresses are that blended device is obtained, then the terminal of the blender is tracked, and then judge whether again can
To continue to follow the trail of.
Second step, if can not follow the trail of, is judged to following the trail of failure, and store B addresses as blender address.
3rd step, if discovery B addresses are not blender address, or system has finally crossed the obstacle of blender, chases after
Track has arrived the whereabouts of bit coin, needs also exist for being analyzed with other addresses of B address informations, come study B addresses with it is other and
Incidence relation between its address associated, analysis mode may include：Address information degree is analyzed or clustering.
For example, same user may possess multiple transaction addresses, be followed the trail of by association address, and confirmation belongs to same use
The account of family operation, judges whether the user has using these accounts come to the fund of falling or many account operations；And realize pair
The discrimination of association address to account operating time and funds flow, it is necessary to be monitored；Carry out temporary needs in exchange quotation special
The flowing of wholesale fund is monitored, because this might mean that in the market has user to carry out many account operations using multiple addresses.
Address information degree analysis can by being traded number of times, the statistics in trading volume for being associated address,
To confirm the degree of association between address.
Meanwhile, related similar case can be also extracted from case library as reference, case report is obtained to analyze tracking result
Accuse.
Finally, whole flow process will be organized into case, be integrated into case library, and the case processing for after provides suggestion and joined
Examine.
As another example, when detecting A and transferring accounts to B, suspicious trading rules is triggered, then are handled as follows：
The first step, it will each transaction address of each transaction address and B to A, formation can for respective address
Doubt transaction address analysis report；It is preferred that, due to bit coin network generally existing blender, i.e. B includes multiple recipient address
Mixing, therefore it is preferred that filtering rule can be set in addition, filtered with the multiple recipient address included to B, it is legal to connect
Debit address can just carry out suspicious transaction address analysis, and then generate report.
Second step, after the suspicious transaction address analysis report of related multiple addresses is provided, report will be stored in first
Dubiously analysis report storehouse；It is preferred afterwards, related similar case can be extracted from the case library, foundation is whether to trigger
Similar suspicious trading rules；
3rd step, with reference to one new suspicious transaction case report of conventional case or formation, and reports processing.
Finally, whole flow process will be organized into case, be integrated into the case library, and the case processing for after provides suggestion
And reference.
The system of the present invention can be realized in electronic processing device, such as computer, tablet personal computer or smart mobile phone, can be led to
Cross man-machine interactive graphics (IG) interface (GUI) to interact between user, to export the result of anti money washing monitoring.
Fig. 2~Figure 11 is referred to, the schematic diagram of man-machine interaction graphical interfaces described in one embodiment of displaying.
As shown in Figure 2 there is provided an observation interface, it provides various functions such as " black/white name single-address ", " address risk is commented
Estimate ", " suspicious transaction monitoring " and " entrance such as case " center ", and for input address to search for the search of associated monitoring information
Frame.
As shown in figure 3, in the graphical interfaces that displaying enters from " black/white name single-address " entrance, figure in displaying blacklist
Source, website domain name (corresponding to website ip) and source of location etc., and function of search can be provided for search address.
As shown in figure 4, the graphical interfaces that displaying enters from " address risk assessment " entrance, it is provided with " address risk assessment
Report " entrance, the address Risk Assessment Report of the address risk assessment is carried out for generating to address.
As shown in figure 5, exemplarily displaying meets in the graphical interfaces that displaying enters from " suspicious transaction monitoring " entrance, figure
The transaction record page of suspicious trading rules.
As shown in fig. 6, displaying is from " graphical interfaces that case " center " entrance enters exemplarily shows in figure and generated simultaneously
The case of storage, those cases are stored in foregoing case library.
As shown in fig. 7, the address Risk Assessment Report page that displaying " address Risk Assessment Report " entrance from Fig. 4 enters
Face, wherein, show the information of address, the result of risk assessment (high, in or low), risk indicator (whether belonging to blacklist),
Transaction statistics (be such as distributed in time trading volume, transaction count) and transaction record etc..
In addition, the content that the son displaying suspicious transaction analysis is reported as an example, in the present embodiment, bit coin address：
148woLY8eVeuvedJ68sBQb5HUU959ixxxx, generation report time is 2016-9-27.
It can monitor：
A. summary data：
The monitoring address has 356 transactions.Have 45 addresses and produce transaction with monitoring address.Wherein 14 addresses
Belong to exchange XYZ1,25 addresses belong to exchange XYZ2.
The address appears in 2013-10-10, block 266187 earliest.The maximum transaction of amount occurs in 2013-
10-10, is to be given to address Y by change of address, altogether 60BTC.
Have 20 addresses and belong to same user with monitoring address, the accumulative bit coin trading volume on these addresses is
400BTC。
B. detailed data：
A) address is monitored
1. first time exchange hour：2013-10-10,13：21：25
2. the last trade time：2016-8-30,16:21:25
3. Maximum Transaction Amount：60BTC, 2013-10-10
By 148woLY8eVeuvedJ68sBQb5HUU959ixxxx addresses
It is given to 15qrpbR1uJaYTc1fWc3gvqT9EX12Gxxxx3 addresses.
4. average deal size：4BTC
5. the number of deals with monitoring address direct dealing：45
6. with the number of deals in the monitoring trading range of address two：80
7. with the number of deals in the monitoring trading range of address three：200
8. the accumulative bit coin amount that monitoring address is received：200BTC
Statistical graph as shown in Figure 8 can be provided, shown according to address
The accumulative bit quantities received of 148woLY8eVeuvedJ68sBQb5HUU959ixxxx are distributed in time the statistics that mode is generated
Chart.
9. the accumulative bit coin amount that monitoring address is produced：160BTC
Statistical graph as shown in Figure 9 can be provided, shown according to address
The accumulative bit quantities produced of 148woLY8eVeuvedJ68sBQb5HUU959ixxxx are distributed in time the statistics that mode is generated
Chart.
10. to report the same day (2016-9-27), monitoring address adds up bit coin amount：40BTC, that is, take in and produce bit
The difference of coin amount；
Statistical graph as shown in Figure 10 can be provided, shown according to address 148woLY8eVeuvedJ68sBQb5HUU959i
Xxxx adds up bit quantity and is distributed in time the statistical graph that mode is generated.
B) other addresses (belonging to a user together with monitoring address)
1st, 20 addresses are had and belong to a user with monitoring address.Whole addresses are for example shown in list below：
2nd, with monitoring address number of deals at most be 1XqrpbT1uJaYTc1fWc6gvqg0EX12Gxxxx0, altogether 350
Secondary transaction, 261BTC.Address balance in hand 10BTC.
2nd, the total turnover of 20 addresses reaches 1900BTC.To the report same day, the accumulative bit coin amount of 20 addresses：
400BTC
And the chart shown in Figure 11 can be provided, show that the accumulative bit coin amount 400BTC of 20 addresses is distributed in time
Statistical graph.
(include the ground of blender generation 4. having 1000 addresses and producing direct or indirect transferring accounts to this 20 addresses
Location).Maximum preceding 20 bit address of dealing money is listed as follows：
| ID | Address | Produce trading volume (BTC) | Transaction count | Address owner's information |
| 1 | No data | |||
| 2 | No data | |||
| … |
5. have the reception of 1326 addresses directly or indirectly the transferring accounts of this 20 addresses (include the ground that blender is produced
Location).Maximum preceding 20 bit address of turnover is listed as follows：
| ID | Address | It is transferred to trading volume (BTC) | Transaction count | Address owner's information |
| 1 | No data | |||
| 2 | No data | |||
| … |
It should be noted that, the various pieces in above-mentioned exemplary suspicious transaction address analysis report can be varied or
Additions and deletions, are not limited with above-mentioned.
In one embodiment of the invention, the address filtering module is additionally operable to chase after to the recipient address
During track, the IP address of each transaction address to tracking is tracked, to facilitate the reality for following the trail of crime of laundering person
Position.
As shown in figure 12, the present invention provides a kind of anti money washing method of block chain digital asset, its principle and above-mentioned backwash
Money system is roughly the same, therefore identical ins and outs are not repeated and repeated；Methods described includes：
Step S1：From data source gathered data and store, the storage content at least includes：Block chain digital asset is merchandised
The transaction address of data and correlation；Wherein, the transaction address includes：The side of transferring accounts address and recipient address；
Step S2：The block chain digital asset transaction data is divided according at least to default suspicious trading rules
Analysis, to assess the risk class for the transaction address participated in business；
Step S3：The corresponding recipient address in the side of transferring accounts address for being higher than default risk level threshold to risk class is carried out
Follow the trail of, and generate the first case report and formed case stored；
Step S4：Distinguish the transaction address for meeting suspicious trading rules and its block chain digital asset transaction data is carried out
Analysis produces suspicious transaction address analysis report, and the second case report of generation and forms case and stored.
It should be noted that, the description order of above-mentioned label and step, can basis not to limit border execution sequence in fact
Actual demand is changed, for example, first carry out carrying out step S3 after step S4, or step S3 and step S4 is parallel etc. all may be used.
In one embodiment of the invention, the data source include it is following in one or more：1) block chain digital asset
Block information on block chain；2) user profile from block chain digital asset exchange；3) presence from official is washed
The blacklist of the transaction address of money criminal offence；4) white list from the transaction address that there are a large amount of bit coin mechanism of exchange；
5) transaction address from the third-party institution, wherein, the third-party institution includes：Block chain digital asset wallet mechanism or
Third-party payment mechanism；6) address is paid special attention to.
In one embodiment of the invention, the mode of the data acquisition include it is following in one or more：1) block counts
According to acquisition modes, it includes：Set up and be connected to receive block data with communication node；Block data is parsed into readable information,
And stored；2) third party's data acquiring mode, it includes：Interface is set up with the third-party institution to be connected with gathered data；It is right
Institute's gathered data is stored after data cleansing；3) indirect data acquisition modes, it includes：Produce the participation tracked after transaction
The transaction address of transaction.
In one embodiment of the invention, the storage content includes：Belong to the transaction address of blacklist；It is described to belonging to
Risk class of the transaction address distribution higher than the default risk level threshold of blacklist.
In one embodiment of the invention, the transaction address for belonging to blacklist includes：Drug trade address, weapon are handed over
Easy address, pornographic transaction address, deep net chained address, terrified financing address, fund extort address, crime transaction address and mixing
Device produces one or more in address.
In one embodiment of the invention, the storage content includes：Known address and unknown address；Wherein, it is described
Know that address includes the transaction address blacklist and transaction address white list.
In one embodiment of the invention, the suspicious trading rules include it is following in one or more：1) odd-numbered day transfers accounts
Number of times exceedes threshold value；2) behavior of transferring accounts of the block chain digital asset more than reserve quota occurs for the odd-numbered day；3) preset in the time limit and turn
Account number of times exceedes threshold value；4) that presets block chain digital asset of being transferred accounts in the time limit overbalances threshold value；5) preset in the time limit and exceed
The transaction address of predetermined quantity is transferred accounts to same transaction address overbalances the block chain digital asset of threshold value；6) preset in the time limit
Same transaction address is transferred accounts to the transaction address of a predetermined level is exceeded overbalances the block chain digital asset of threshold value；7) expected time of arrival
The transaction address of transaction more than limit is not produced, and emergence overbalances the transaction of the block chain digital asset of threshold value；8) time limit is preset
Interior trading volume is less than first threshold, and the transaction of the block chain digital asset of Second Threshold is overbalanced in a short time.
In one embodiment of the invention, the side of the transferring accounts address pair that default risk level threshold is higher than to risk class
The recipient address answered is tracked, including：Judge that the recipient address whether there is with blender address to associate；If so,
Then follow the trail of to the terminal of the blender, and judge whether to continue to follow the trail of；If can not, judge the recipient address as
Blender address；If can or if it is not, if analyze other transaction addresses for being associated with the recipient address.
In one embodiment of the invention, the analysis mode includes：Address information degree is analyzed or clustering.
In one embodiment of the invention, described anti money washing method, including：It is tracked to the recipient address
During, the IP address of each transaction address to tracking is tracked.
In summary, the anti money washing system and method for the block chain digital asset that the present invention is provided, by being adopted from data source
Collection data are simultaneously stored；The block chain digital asset transaction data is analyzed according at least to default suspicious trading rules,
To assess the risk class for the transaction address participated in business；It is higher than the side of the transferring accounts address of default risk level threshold to risk class
Corresponding recipient address is tracked, and generate the first case report and formed case stored；Discrimination meets suspicious friendship
The transaction address of easy rule simultaneously carries out the suspicious transaction address analysis report of analysis generation to its block chain digital asset transaction data,
And the second case report of generation and form case and stored；By extracting data, to monitor each transaction on block chain,
A set of flexible anti money washing monitoring system and address lookup system are set up, interested regulatory authorities are met to digital asset anti money washing pipe
Reason needs.
Claims (11)
1. a kind of anti money washing system of block chain digital asset, it is characterised in that including：
Acquisition module, for from data source gathered data；
Memory module, for storing the gathered data；Wherein, the storage content at least includes：Block chain digital asset is handed over
The transaction address of easy data and correlation；Wherein, the transaction address includes：The side of transferring accounts address and recipient address；
Address risk evaluation module, for coming according at least to default suspicious trading rules to the block chain digital asset number of deals
According to being analyzed, to assess the risk class for the transaction address participated in business；
Address filtering module, the corresponding recipient in the side of transferring accounts address that risk level threshold is preset for being higher than to risk class
Location is tracked, and generate the first case report and formed case stored；
Suspicious transaction monitoring module, the transaction address of suspicious trading rules is met for distinguishing and its block chain digital asset is handed over
Easy data carry out analysis and produce suspicious transaction address analysis report, and the second case report of generation and form case and stored.
2. anti money washing system according to claim 1, it is characterised in that the data source include it is following in it is one or more
Kind：
1) block information of the block chain digital asset on block chain；
2) user profile from block chain digital asset exchange；
3) blacklist of the transaction address of the presence crime of laundering behavior from official；
4) white list from the transaction address that there are a large amount of bit coin mechanism of exchange；
5) transaction address from the third-party institution, wherein, the third-party institution includes：Block chain digital asset wallet machine
Structure or Third-party payment mechanism；
6) address is paid special attention to.
3. anti money washing system according to claim 2, it is characterised in that the mode of the data acquisition include it is following in
One or more：
1) block data acquisition modes, it includes：Set up and be connected to receive block data with communication node；Block data is parsed
Into readable information, and stored；
2) third party's data acquiring mode, it includes：Interface is set up with the third-party institution to be connected with gathered data；To gathered number
Stored according to after data cleansing；
3) indirect data acquisition modes, it includes：Produce the transaction address participated in business tracked after transaction.
4. anti money washing system according to claim 1, it is characterised in that the storage content includes：Belong to blacklist
Transaction address；Risk class higher than the default risk level threshold is distributed the transaction address for belonging to the blacklist.
5. anti money washing system according to claim 4, it is characterised in that the transaction address for belonging to blacklist includes：
Drug trade address, weapons deal address, pornographic transaction address, deep net chained address, terrified financing address, fund extort ground
Location, crime transaction address and blender produce one or more in address.
6. anti money washing system according to claim 4, it is characterised in that the storage content includes：Known address and not
Know address；Wherein, the known address includes the transaction address blacklist and transaction address white list.
7. anti money washing system according to claim 1, it is characterised in that the suspicious trading rules include it is following in one
Or it is a variety of：
1) odd-numbered day transfers accounts number of times more than threshold value；
2) behavior of transferring accounts of the block chain digital asset more than reserve quota occurs for the odd-numbered day；
3) number of times of transferring accounts was preset in the time limit more than threshold value；
4) that presets block chain digital asset of being transferred accounts in the time limit overbalances threshold value；
5) transaction address of a predetermined level is exceeded is transferred accounts to same transaction address and overbalances the block chain of threshold value in the default time limit
Digital asset；
6) same transaction address is transferred accounts to the transaction address of a predetermined level is exceeded and overbalances the block chain of threshold value in the default time limit
Digital asset；
7) transaction address of transaction more than intended duration is not produced, and emergence overbalances the friendship of the block chain digital asset of threshold value
Easily；
8) preset trading volume in the time limit and be less than first threshold, the block chain digital asset of Second Threshold is overbalanced in a short time
Transaction；
9) IP address of transaction address correspondence money laundering prone areas.
8. anti money washing system according to claim 1, it is characterised in that described to be higher than default risk class to risk class
The corresponding recipient address in the side of transferring accounts address of threshold value is tracked, including：
Judge that the recipient address whether there is with blender address to associate；
If so, then following the trail of to the terminal of the blender, and judge whether to continue to follow the trail of；
If can not, judge the recipient address as blender address；
If can or if it is not, if analyze other transaction addresses for being associated with the recipient address.
9. anti money washing system according to claim 8, it is characterised in that the analysis mode includes：Address information degree point
Analysis or clustering.
10. anti money washing system according to claim 1, it is characterised in that the address filtering module, is additionally operable to institute
State during recipient address is tracked, the IP address of each transaction address to tracking is tracked.
11. a kind of anti money washing method of block chain digital asset, it is characterised in that including：
From data source gathered data and store, the storage content at least includes：Block chain digital asset transaction data and correlation
Transaction address；Wherein, the transaction address includes：The side of transferring accounts address and recipient address；
The block chain digital asset transaction data is analyzed according at least to default suspicious trading rules, to assess participation
The risk class of the transaction address of transaction；
The corresponding recipient address in the side of transferring accounts address for being higher than default risk level threshold to risk class is tracked, and is generated
First case report and formed case stored；
Discrimination meets the transaction address of suspicious trading rules and can to the progress analysis generation of its block chain digital asset transaction data
Doubt transaction address analysis report, and the second case report of generation and form case and stored.
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