Method and system for detecting abnormal nodes in industrial internet, and medium and device
US12368737B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2025 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | Feb 24, 2045 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/30
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present invention belongs to the technical field of data security of industrial Internet, and provides a method and system for detecting abnormal nodes in industrial Internet, a medium and a device. In the industrial Internet, different data holders firstly transform their own local node data into graphic data. Before local model training, the data holders firstly use a spectral clustering algorithm to perform certain clustering operations on local data, cluster the node data of the same category into the same cluster, and then perform local model training on a clustered result to obtain partial aggregation features. The trained partial features are uploaded to a trusted third-party server for global feature aggregation. Through an attention mechanism, different weights are assigned for partial features uploaded by different data holders, and the aggregated global features are delivered to each data holder for a new round of training.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.