Resource Transfer Path Detection Using Time-Difference Graph Search
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Solution Overview
Problem
Current methods for detecting resource transfer information, such as illegal money transfers or unauthorized resource movements, are inefficient and rely heavily on manual processes, leading to low detection efficiency.
Innovation Solution
A method and apparatus for detecting resource transfer paths by constructing a resource transfer relationship graph, determining resource transfer directions, and performing path searches based on time differences between nodes to identify potential illegal or unauthorized transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual detection is used for resource transfer information, then detection accuracy can be maintained through human judgment, but detection efficiency is low and time-consuming
Solution Approach 1:
The patent replaces manual mechanical detection with an automated computer-based system that uses graph theory algorithms to detect resource transfer paths. The system automatically constructs transfer relationship graphs, performs path searches, and identifies unauthorized transfers without human intervention, thereby dramatically improving detection efficiency and reducing time loss.
Solution Approach 2:
The detection system performs self-service by automatically analyzing resource transfer data, constructing relationship graphs, and identifying suspicious paths without requiring manual operation. The system independently executes the detection process from data input to result generation, enabling continuous automated monitoring of resource transfers.
2Productivity
If automated detection systems are implemented, then detection efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex detection task into distinct modular components: graph construction module, path search module, and path determination module. Each module handles a specific aspect of the detection process, making the overall system more manageable and maintainable while achieving high detection efficiency through coordinated operation of these segments.
Solution Approach 2:
The patent introduces a graph structure as an intermediary representation between raw transfer data and detection results. The graph construction module transforms complex transfer relationships into a standardized graph format, which simplifies subsequent path analysis and reduces the complexity of the overall detection system.
3Measurement precision
If comprehensive path analysis is performed to ensure accurate detection, then detection precision is improved, but computational resources and time are increased
Solution Approach 1:
The patent performs preliminary actions by constructing the complete transfer relationship graph before conducting path analysis. All transfer relationships are pre-processed and organized into graph structures, enabling efficient path searches without requiring re-analysis of raw data during the detection phase, thus improving precision while controlling time consumption.
Solution Approach 2:
The patent implements dynamic path search that adapts to the graph structure, performing searches only along relevant paths from source to destination nodes. The system dynamically determines which paths to explore based on the graph topology and detection requirements, avoiding unnecessary computational overhead while maintaining comprehensive analysis for accurate detection.
Data Source
AI summary
A resource transfer information detection method and apparatus are provided. In a process of performing resource transfer path search on a resource transfer relationship graph, a current search node, a reference node that points to the current search node and that is in a current resource transfer path, and a candidate node that the current search node points to and that is in the resource transfer relationship graph are determined. A first resource transfer time is obtained between the current search node and the reference node and a second resource transfer time between the current search node and the candidate node is obtained. When the first resource transfer time and the second resource transfer time satisfy a time difference condition, the candidate node is added to the current resource transfer path to detect a target resource transfer path.