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CN-121981820-A - Visual analysis method and system for tracing encrypted asset cross-chain transaction path

CN121981820ACN 121981820 ACN121981820 ACN 121981820ACN-121981820-A

Abstract

The invention belongs to the technical field of path tracing visual analysis, and particularly relates to a method and a system for tracing a cross-chain transaction path of an encrypted asset, and multi-chain data acquisition and standardization: collecting transaction records, block information, cross-chain mapping relations and other data of different block chains, carrying out format conversion, field alignment and redundant cleaning on the collected data to form a unified standardized data format, constructing cross-chain transaction association relation, namely identifying cross-chain transaction pairs based on the standardized data and establishing association relation to form an edge set of a cross-chain transaction association diagram, generating a transaction path topology diagram, namely constructing a transaction path topology diagram containing multiple chain nodes by taking transaction addresses as nodes and the transaction records and the cross-chain association relation as edges, and identifying association address clusters in the diagram through a community discovery algorithm.

Inventors

  • CHEN XIAOGUO

Assignees

  • 宁波链盾科技有限公司

Dates

Publication Date
20260505
Application Date
20251205

Claims (10)

  1. 1. The encrypted asset cross-chain transaction path tracing visual analysis method is characterized by comprising the following steps of: S1, multi-chain data acquisition and standardization, namely acquiring transaction records, block information, cross-chain mapping relations and other data of different block chains, and performing format conversion, field alignment and redundancy cleaning on the acquired data to form a unified standardized data format; S2, building a cross-chain transaction association relationship, namely identifying a cross-chain transaction pair based on standardized data and building the association relationship to form an edge set of a cross-chain transaction association map; s3, generating a transaction path topology map, namely constructing the transaction path topology map comprising multiple links of nodes by taking a transaction address as a node and taking a transaction record and a cross-link association relationship as an edge, and identifying an association address cluster in the map through a community discovery algorithm; S4, multidimensional visual analysis and dynamic display, namely visually displaying a transaction path through hierarchical visualization, relationship visualization and time sequence analysis, and highlighting and early warning an abnormal transaction path; and S5, interactive traceability analysis, namely providing a user interaction interface and supporting transaction path positioning, map operation, path level information expansion and custom analysis dimension functions.
  2. 2. The method for tracing the cross-chain transaction path of the encrypted asset according to claim 1, wherein in step S1, data collection is performed through node interfaces, cross-chain bridge APIs and third party data platforms which are connected with different blockchains, and the transaction record comprises an initiating address, a receiving address, asset types, quantity, time stamps, cross-chain identifiers and associated transaction hash information.
  3. 3. The method for tracing the path of the encrypted asset cross-chain transaction according to claim 2, wherein in step S2, the method for identifying the cross-chain transaction pair and establishing the association relationship comprises the following steps: Directly matching transaction records of the same cross-chain transaction on a source chain and a target chain by using the cross-chain identification field; and for transactions without carrying the cross-chain identification, fuzzy matching is carried out by analyzing the asset mapping relation, the time stamp relevance, the amount consistency and the address behavior pattern, and manual verification and correction are combined.
  4. 4. The method for visual analysis of cross-chain transaction path tracing of encrypted asset according to claim 3, wherein in step S3, the node attribute comprises an address type, an asset holding total amount, transaction liveness, the side attribute comprises a transaction amount, time, an asset type and a cross-chain direction, and the community discovery algorithm adopts a Louvain algorithm.
  5. 5. The method for visual analysis of encrypted asset cross-chain transaction path tracing of claim 4, wherein in step S4: The hierarchical visualization takes a time axis as a vertical axis and a blockchain network as a horizontal axis, asset types are distinguished by arrows with different colors, and the thickness of the arrows represents the transaction amount; the relation visualization adopts a force guide graph, the node size reflects transaction liveness, and the node color distinguishes the address types; the timing analysis visualization generates a transaction timing curve for a particular address or asset; the abnormal path highlighting automatically identifies an abnormal transaction path by setting an abnormal transaction rule.
  6. 6. The method for visual analysis of encrypted asset cross-chain transaction path tracing of claim 5, wherein in step S5, the operations supported by said user interaction interface comprise: inputting an address, transaction hash or asset identification to locate a relevant node and associated transaction path; Scaling, translating, node screening and path filtering are carried out on the topology map; supporting path drilling and tripping operations; Providing custom analysis dimension functions.
  7. 7. The encrypted asset cross-chain transaction path tracing visual analysis system is based on the encrypted asset cross-chain transaction path tracing visual analysis method of claims 1-6, and is characterized by comprising the following steps: the data acquisition and standardization module is used for acquiring the multi-chain data and carrying out standardization processing and comprises a multi-chain interface adapting unit, a data cleaning unit and a standardization storage unit; The association analysis module is used for constructing cross-chain transaction association relations and transaction path topology maps and comprises a cross-chain transaction matching unit, an association relation calculating unit and a topology map constructing unit; The visualization engine module is used for realizing multidimensional visual analysis and dynamic display and comprises a graphic rendering unit, a multidimensional display unit and an abnormality detection and highlighting unit; the interactive module is used for providing an interactive traceability analysis function and comprises a user input unit, a map operation unit and a user-defined analysis unit; and the data updating and synchronizing module is used for monitoring the new transaction data in real time and carrying out incremental updating and synchronously updating the topology map and the association relation.
  8. 8. The encrypted asset cross-chain transaction path traceability visual analysis system of claim 7, wherein the multi-chain interface adaptation unit of the data acquisition and standardization module supports the node RPC interface of the main stream blockchain, the data interface of the cross-chain bridge and the API butt joint of the third party data aggregation platform, and the standardization storage unit stores standardization data by adopting a distributed database.
  9. 9. The system for visual analysis of encrypted asset cross-chain transaction path tracing according to claim 8, wherein the cross-chain transaction matching unit of the association analysis module is provided with a built-in rule engine, the association relation calculating unit calculates association strength between nodes through a graph calculation algorithm, and the topology map construction unit stores a transaction path topology map based on the graph.
  10. 10. The encrypted asset cross-chain transaction path traceability visualization analysis system of claim 1, wherein the graphic rendering unit of the visualization engine module adopts WebGL technology, the multidimensional display unit supports switching and linkage of hierarchical visualization, relationship visualization and timing analysis visualization, and the anomaly detection and highlighting unit identifies an anomaly transaction path through a preset rule base and a machine learning model.

Description

Visual analysis method and system for tracing encrypted asset cross-chain transaction path Technical Field The invention belongs to the technical field of path tracing visual analysis, and particularly relates to a method and a system for tracing visual analysis of encrypted asset cross-chain transaction paths. Background With the rapid development of blockchain technology, the application scenes of encrypted assets (such as bitcoin, ethernet, etc.) are increasingly wide, and the size and frequency of cross-chain transactions are continuously growing as a key means for connecting different blockchain networks. The cross-chain transaction realizes the circulation of assets among heterogeneous blockchains (such as bitcoin chains, ethernet chains, BSC chains and the like) through the cross-chain bridge, side chains and other technologies, greatly improves the fluidity and interoperability of encrypted assets, and brings a plurality of challenges to the traceability analysis of transaction paths. The current encrypted asset cross-chain transaction traceability field has the following remarkable problems: Different blockchain networks with different problems of fragmentation and standardization of the multi-chain data have independent account book structures and data formats, and the storage modes and field definitions of data such as transaction records, block information and the like have obvious differences. In the prior art, data acquisition and analysis are performed on a single blockchain, unified integration capability on multi-chain data is lacked, so that related data of cross-chain transaction are scattered and heterogeneous in format, and correlation analysis on a cross-chain level is difficult to realize. The records of the cross-chain transaction association relation identification difficulty cross-chain transaction on the source chain and the target chain often lack uniform identification, and part of the cross-chain transaction does not even carry clear cross-chain mapping information. In the prior art, records of the same cross-chain transaction on different chains are difficult to accurately match in an automatic mode, only manual comparison is relied on, the efficiency is low, and matching errors are easily caused by the problems of complex asset mapping relationship, timestamp deviation and the like. The trade path visualization and analysis capability is insufficient, the cross-chain trade path relates to the hierarchical circulation of multi-chain nodes, the prior visualization technology is mostly limited to trade relation display in a single chain, and the topological circulation structure of the asset among the multi-chains is difficult to visually present. Meanwhile, the user has difficulty in quickly understanding the overall context of the transaction path due to the lack of multi-dimensional visual expression of transaction node attributes (such as address type and liveness) and side attributes (such as transaction amount and time). In the abnormal transaction detection and interaction analysis function weak encryption asset cross-chain transaction, the identification of abnormal paths (such as large-scale fast cross-chain, multi-chain jump avoidance supervision and the like) depends on manual experience, and an automatic detection mechanism based on rules or algorithms is lacking. In addition, the conventional system has limited interactive functions, cannot support user-defined analysis dimension, precisely position specific transaction paths or develop hierarchy information, and is difficult to meet the requirements of complex traceability scenes. Transaction data of the insufficient blockchain network is generated in real time, and the association relation of the cross-chain transaction is dynamically changed along with the generation of new transaction. In the prior art, a static data processing mode is mostly adopted, so that new transactions are difficult to monitor in real time and cross-chain correlation maps are difficult to update, the traceability analysis result is lagged, and the requirements of scenes such as real-time supervision, risk early warning and the like cannot be met. Disclosure of Invention The invention aims at solving the technical problems and provides a method and a system for tracing and visualizing an encrypted asset cross-chain transaction path. In view of this, the invention provides a visual analysis method for tracing encrypted asset cross-chain transaction paths, which comprises the following steps: S1, multi-chain data acquisition and standardization, namely acquiring transaction records, block information, cross-chain mapping relations and other data of different block chains, and performing format conversion, field alignment and redundancy cleaning on the acquired data to form a unified standardized data format; S2, building a cross-chain transaction association relationship, namely identifying a cross-chain transaction pair based on standardize