Method for detecting block chain abnormal behavior based on graph embedding
US11803855B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2023 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Mar 8, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method for detecting a block chain abnormal behavior based on graph embedding. The method comprises S100: data collection: acquiring public block chain abnormal behavior node data on the Internet, and acquiring normal nodes in a number equal to that of abnormal behavior nodes at the same time; S200: establishment of abnormal behavior recognition model: extracting features of all nodes, constructing the nodes subjected to feature extraction into a transaction graph, and forming the abnormal behavior recognition model based on a graph embedding technology according to the constructed transaction graph; and S300: transaction detection: determining a transaction risk according to the obtained abnormal behavior recognition model when a transaction occurs, and prompting a user of a risk level. According to the method for detecting the block chain abnormal behavior based on graph embedding, abnormal behaviors possibly existing in block chain transactions can be effectively detected and early warned.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.