CN116521945A - Method for constructing fund association diagram for block chain encrypted currency transaction traceability and control system - Google Patents
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Abstract
The application relates to a fund association diagram construction method and a control system for block chain encrypted currency transaction traceability, wherein the construction method comprises the following steps: s100, acquiring transaction data of a target block, and processing address information in the transaction data by using a clustering algorithm to construct traceability data; s200, presetting data structure requirements, and re-structuring the traceable data according to the data structure requirements to construct net-shaped fund data; and S300, integrating the mesh fund data with the transaction position where the target address is located, and constructing a mesh fund association diagram. The data structure of the mesh fund association graph includes a list of nodes for aggregating the individual nodes in the mesh fund association graph and a list of edges for aggregating edges connecting the different individual nodes. When the blockchain fund transaction is traced and analyzed, the fund data of a plurality of repeated addresses can be combined to one node for display, the association relation of a plurality of source addresses can appear on one address node, and the fund flow direction data can be better observed.
Description
Technical Field
The disclosure relates to the technical field of blockchains, in particular to a fund association diagram construction method and a control system for blockchain cryptocurrency transaction traceability.
Background
The cryptocurrency is a kind of digital currency as a transaction medium for ensuring transaction security and controlling creation of transaction units using the principle of cryptography. The encryption currency is based on a common knowledge mechanism of block chain decentralization, and the transaction behavior is public, transparent and non-tamperable, in contrast to a banking financial system which relies on a centralized supervision system.
Transaction tracing of blockchain cryptocurrency is a conventional scheme for checking funds transfer, and transaction paths are displayed in a tree diagram form in a hierarchical manner by combining a data visualization technology, so that analysts can intuitively perform operation analysis on transaction data. In the analysis process, a starting address is usually started, and only the starting address in the tree diagram can be completely acquired to the parent node and the child node, namely, other types of nodes cannot be completely acquired. Further, the next level of the nodes in the tree diagram only shows the child level which has transactions with the next level, but the previous level of the child level may have different parent level nodes, so that other parent level nodes cannot be expanded in the tree diagram, and the child level nodes can be used as starting addresses for re-inquiring only once again, thereby achieving the purpose of acquiring complete parent level nodes and child level nodes, namely, the complete carding of the fund flow direction can be achieved by repeated inquiring, the fund scale is positioned, and the inquiring efficiency is lower.
Disclosure of Invention
In order to solve the above problems, the present application proposes a method and a control system for constructing a fund association diagram for blockchain cryptocurrency transaction tracing, so as to solve the above problems.
In a first aspect of the present application, a method for constructing a fund association diagram for blockchain cryptocurrency transaction tracing is provided, including the following steps:
s100, acquiring transaction data, and processing address information in the transaction data by using a clustering algorithm to construct traceability data;
s200, presetting a data structure requirement, and re-structuring the traceability data according to the data structure requirement to construct net-shaped fund data;
s300, integrating the mesh fund data with the transaction position where the target address is located, and constructing a mesh fund association diagram;
the data structure of the mesh fund association graph comprises a nodes list and an edge list, wherein the nodes list is used for collecting single nodes in the mesh fund association graph, and the edge list is used for collecting edges connecting different nodes.
As an optional embodiment of the present application, optionally, in step S100, obtaining transaction data of a target block, and processing address information in the transaction data by using a clustering algorithm, to construct trace data, including:
s110, acquiring stored fund flow information from the exchange of the encrypted currency, wherein the fund flow information comprises address information;
s120, acquiring corresponding address information according to the fund flow direction information;
s130, processing the address information through a clustering algorithm to construct traceability data.
As an optional embodiment of the present application, optionally, in step S200, the data structure requires that a node object is created, and the sub-level of the node object uses address as a key.
As an optional embodiment of the present application, optionally, a sub-level field of the node object includes:
a node info field for recording a sub-level name and color information of the node object;
a status info field for recording sub-level (x, y) coordinate information and an expanded state of the node object.
As an optional embodiment of the present application, optionally, a child level node of the nodes list includes { id, data }, where an id of the child level node is a unique identifier of the child level node, and data of the child level node is a data field of the child level node.
As an optional embodiment of the present application, optionally, the child object of the edge list includes { id, source, target, data }, where source is an original node and target is a target node.
As an optional embodiment of the present application, optionally, in step S100, the address information includes a transmission address and a reception address.
As an optional embodiment of the present application, optionally, in step S100, the transaction data further includes a transaction hash value and transaction funds.
As an optional embodiment of the present application, optionally, the clustering algorithm includes a spherical clustering algorithm or a hierarchical clustering algorithm.
In a second aspect of the present application, there is provided a control system comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement a fund association diagram construction method for blockchain cryptocurrency transaction tracing as in any one of the preceding claims when executing the executable instructions.
The invention has the technical effects that:
according to the method and the system, the mesh fund association diagram is constructed to conduct transaction tracing of the blockchain cryptocurrency, in the mesh fund association diagram, fund data of multiple repeated addresses can be combined to be displayed on one node, better insight fund flow direction data is facilitated, and then the fund flow direction is accurately depicted. Specifically, the method and the device process the obtained target block transaction data through a clustering algorithm, obtain the relationship between transaction funds and construct traceability data. And constructing a mesh fund data structure according to the preset data structure requirement, and performing a re-structuring treatment on the traceable data to prepare for constructing a mesh fund association graph. And integrating the transaction position where the address is and the constructed fund data result, and constructing a complete network fund association diagram. It should be noted that the content of the data structure in the mesh fund association graph includes two lists, namely a nodes List and an edge List, where the nodes List and the edge List each represent related information of a view set of the mesh fund association graph, specifically, a single node in the mesh fund association graph is represented by the nodes List, that is, a basic unit of the association graph, and an edge of the edge List, that is, a relationship between the nodes is represented by the specific set of the edge lists, that is, the edges of the edge lists are connected with the different nodes. According to the mesh fund association diagram constructed by the method, when the blockchain fund transaction is traced and analyzed, the fund data of a plurality of repeated addresses can be combined to one node for display, and meanwhile, the association relation of a plurality of source addresses can appear on one address node, so that fund flow direction data can be better insight, and then the fund flow direction can be accurately depicted.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram of a method for constructing a fund association diagram for blockchain cryptocurrency transaction traceability according to the present invention;
fig. 2 shows a schematic flow chart of the implementation of the invention.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
Example 1
As shown in fig. 1, in a first aspect of the present application, a method for constructing a fund association diagram for blockchain cryptocurrency transaction tracing is provided, including the following steps:
s100, acquiring transaction data, and processing address information in the transaction data by using a clustering algorithm to construct traceability data;
s200, presetting a data structure requirement, and re-structuring the traceability data according to the data structure requirement to construct net-shaped fund data;
s300, integrating the mesh fund data with the transaction position where the target address is located, and constructing a mesh fund association diagram;
the data structure of the mesh fund association graph comprises a nodes list and an edge list, wherein the nodes list is used for collecting single nodes in the mesh fund association graph, and the edge list is used for collecting edges connecting different nodes.
In this embodiment, the mesh funds association graph is constructed to perform transaction tracing of the blockchain cryptocurrency, and in the mesh funds association graph of the application, the funds data of multiple repeated addresses can be combined to be displayed on one node, so that better insight into the funds flow direction data is facilitated, and the funds flow direction is accurately depicted. Specifically, the method and the system can trace the transaction data of the ETH and TRON two-big blockchain network, randomly select the transaction and translocation of the blockchain cryptocurrency, acquire the fund flow direction information stored in the transaction and translocation, obtain the corresponding address information, and perform sorting and clustering on the address information through a clustering algorithm, such as a spherical clustering algorithm, acquire the relationship between transaction funds, and construct tracing data. Further, the data structure requirements are preset, a mesh fund data structure is built, the traceable data is subjected to re-structuring treatment according to the requirements, and preparation is made for building a mesh fund association diagram. It should be noted that, the step of re-structuring the traceable data according to the preset data structure requirement specifically includes creating an object name of node, where the sub-level node uses address as key, so as to achieve the purpose of improving the retrieval speed. And integrating the transaction position where the address is and the constructed fund data result, and constructing a complete network fund association diagram. It should be noted that the content of the data structure in the mesh fund association graph includes two lists, namely a nodes List and an edge List, where the nodes List and the edge List each represent related information of a view set of the mesh fund association graph, specifically, a single node in the mesh fund association graph is represented by the nodes List, that is, a basic unit of the association graph, and an edge of the edge List, that is, a relationship between the nodes is represented by the specific set of the edge lists, that is, the edges of the edge lists are connected with the different nodes. According to the mesh fund association diagram constructed by the method, when the blockchain fund transaction is traced and analyzed, the fund data of a plurality of repeated addresses can be combined to one node for display, and meanwhile, the association relation of a plurality of source addresses can appear on one address node, so that fund flow direction data can be better insight, and then the fund flow direction can be accurately depicted.
As an optional embodiment of the present application, optionally, in step S100, transaction data of a target block is obtained, and address information in the transaction data is processed by using a clustering algorithm, so as to construct trace-source data, including:
s110, acquiring stored fund flow information from the exchange of the encrypted currency, wherein the fund flow information comprises address information;
s120, acquiring corresponding address information according to the fund flow direction information;
s130, processing the address information through a clustering algorithm to construct traceability data.
In this embodiment, the transaction bits of the blockchain cryptocurrency are randomly selected, and the transaction information of the blockchain cryptocurrency is stored in the transaction part, so that the fund flow direction information stored in the transaction part is obtained, and then the corresponding address information is obtained. The clustering algorithm is used as an effective cluster analysis method, the address information is clustered through the clustering algorithm, the traceability data is constructed, and the purpose of acquiring the relation between transaction funds is achieved.
As an optional embodiment of the present application, optionally, in step S200, the data structure requires that a node object is created, and the sub-level of the node object uses address as a key.
Further, the sub-level field of the node object includes:
a node info field for recording a sub-level name and color information of the node object;
a status info field for recording sub-level (x, y) coordinate information of the node object, and an expanded state.
In this embodiment, in order to construct the mesh fund association graph, the trace data needs to be output in a re-structured manner so as to meet the data requirement of the mesh fund association graph. Specifically, a node object is created, address is used as a key of a sub-level object, and the search speed is improved through the address. The child level field of the node object comprises a node info field and a status info field, and reflects the attribute of the node, wherein the node name and color information are recorded through the node info field, the (x, y) coordinate information of the node and the unfolding state of the child level or the father level are recorded through the status info field, and the data requirement of constructing the network fund association graph is met. After the node object is created, the sub-level uses the address value as a key, the directions in the data structure can be left, the layer is-1, the output_current and the input_current have different values, the data structure also comprises a transaction path parameter path, and the re-structured data structure can meet the data requirement of the network fund association graph.
As an optional embodiment of the present application, optionally, a child level node of the nodes list includes { id, data }, where an id of the child level node is a unique identifier of the child level node, and data of the child level node is a data field of the child level node.
Further, the child level object of the edge list includes { id, source, target, data }, where source is an original node and target is a target node.
In this embodiment, the data structure of the mesh fund association graph includes a nodes list and an edges list, where on one hand, the sub-level node ids in the nodes list are used as unique identifiers, so that the sub-level nodes in the list can be identified according to the unique identifiers, and meanwhile, transaction directives, such as left, flow_current and flow_current, transaction path parameters path, and target edge list; on the other hand, the child object id under the edges list is the unique id of the edge, the source is the original node, the target is the target node, and further the child object id also comprises a percentage, a txn_count, a value and the like, such as percentage 1.78%, txn_count1, value66 and the like, so that the fund flow data is observed through the netlike fund association graph, the fund flow is accurately depicted, the analyst is helped to quickly comb out the fund flow, the fund scale is positioned, and the inquiry rate is greatly improved.
As an optional embodiment of the present application, optionally, in step S100, the address information includes a transmission address and a reception address.
As an optional embodiment of the present application, optionally, in step S100, the transaction data further includes a transaction hash value and transaction funds.
In this embodiment, the transaction generally includes from, to, hash, value, where the from field indicates the account address from which the transaction originated, i.e., the account address from which the transfer originated, e.g., 0xf3556cc99b86c4a …, the to field indicates the account address from which the transaction was received, i.e., the account address from which the transfer was received, e.g., 0x4d1ef8673f916debb7e2 …, the hash indicates the hash value of the previous block, e.g., 0x0b982d6e926399590 …, and the value indicates the funds of the transaction, i.e., the transfer funds, e.g., 12.
As an optional embodiment of the present application, optionally, the clustering algorithm includes a spherical clustering algorithm or a hierarchical clustering algorithm.
In this embodiment, the clustering algorithm includes a spherical clustering algorithm or a hierarchical clustering algorithm, and the purpose of data clustering analysis can be achieved.
Therefore, when the block chain fund transaction traceability analysis is performed, the association relation of a plurality of source addresses can appear in one address node in the mesh association diagram, and the fund data of a plurality of repeated addresses can be combined to be displayed on one node, so that more accurate information is provided, better insight of the fund flow direction data is facilitated, and the fund flow direction is accurately depicted.
It should be noted that although the above has been described as an example, those skilled in the art will appreciate that the present disclosure should not be limited thereto. In fact, the user can be flexibly set according to the actual application scene, so long as the technical function of the application can be realized according to the technical method.
Example 2
Still further, a second aspect of the present application provides a control system, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement a fund association diagram construction method for blockchain cryptocurrency transaction tracing as in any one of the preceding claims when executing the executable instructions.
Embodiments of the present disclosure control a system that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement any of the foregoing methods of fund association graph construction for blockchain cryptocurrency transaction tracing when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the control system of the embodiment of the present disclosure, an input device and an output device may be further included. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: a program or module corresponding to a fund association diagram construction method for a blockchain cryptocurrency transaction traceability is disclosed. The processor executes various functional applications and data processing of the control system by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output means may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. The fund association diagram construction method for the block chain cryptocurrency transaction traceability is characterized by comprising the following steps of:
s100, acquiring transaction data, and processing address information in the transaction data by using a clustering algorithm to construct traceability data;
s200, presetting a data structure requirement, and re-structuring the traceability data according to the data structure requirement to construct net-shaped fund data;
s300, integrating the mesh fund data with the transaction position where the target address is located, and constructing a mesh fund association diagram;
the data structure of the mesh fund association graph comprises a nodes list and an edge list, wherein the nodes list is used for collecting single nodes in the mesh fund association graph, and the edge list is used for collecting edges connecting different single nodes.
2. The method for constructing a fund association diagram for a blockchain cryptocurrency transaction trace source according to claim 1, wherein in step S100, transaction data of a target block is acquired, address information in the transaction data is processed by a clustering algorithm, and trace source data is constructed, comprising:
s110, acquiring stored fund flow information from the exchange of the encrypted currency, wherein the fund flow information comprises address information;
s120, acquiring corresponding address information according to the fund flow direction information;
s130, processing the address information through a clustering algorithm to construct traceability data.
3. The method according to claim 1, wherein in step S200, the data structure requires that a node object is created, and the sub-level of the node object uses address as key.
4. A fund association diagram construction method for blockchain cryptocurrency transaction tracing in claim 3, wherein said node object sub-level field comprises:
a nodeinfo field for recording a sub-level name and color information of the node object;
a status field for recording sub-level (x, y) coordinate information and an expanded state of the node object.
5. The method of claim 1, wherein the child level nodes of the nodes list comprise { id, data }, wherein the id of the child level node is a unique identification of the child level node, and the data of the child level node is a data field of the child level node.
6. The method of claim 1, wherein the child level objects of the edge list include { id, source, target, data }, wherein the source is an origin node and the target is a destination node.
7. The method of claim 1, wherein in step S100, the address information includes a transmission address and a reception address.
8. The method of claim 1, wherein in step S100, the transaction data further includes transaction hash values and transaction funds.
9. The fund association graph construction method for blockchain cryptocurrency transaction traceability of claim 1, wherein the clustering algorithm comprises a spherical clustering algorithm or a hierarchical clustering algorithm.
10. A control system, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the fund association diagram construction method for blockchain cryptocurrency transaction tracing of any one of claims 1 to 9 when executing the executable instructions.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116882998A (en) * | 2023-09-08 | 2023-10-13 | 成都链安科技有限公司 | Virtual currency fund analysis method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116882998A (en) * | 2023-09-08 | 2023-10-13 | 成都链安科技有限公司 | Virtual currency fund analysis method |
| CN116882998B (en) * | 2023-09-08 | 2023-11-24 | 成都链安科技有限公司 | Virtual currency fund analysis method |
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