The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 22, 2025
Filed:
Feb. 24, 2025
Yantai University, Yantai, CN;
Zhaowei Liu, Yantai, CN;
Zhifei Lu, Yantai, CN;
Rufei Gao, Yantai, CN;
Xinxin Zhao, Yantai, CN;
Wenhan Hou, Yantai, CN;
Benquan Chen, Yantai, CN;
Zhizhong Liu, Yantai, CN;
Tengjiang Wang, Yantai, CN;
Hongwei Dai, Yantai, CN;
Yanle Liu, Yantai, CN;
Yingying Sun, Yantai, CN;
Peng Wang, Yantai, CN;
YANTAI UNIVERSITY, Yantai, CN;
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.