Method for constructing a vehicle networking intrusion detection model based on federated learning
US12368738B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 22, 2025 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | Apr 22, 2045 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for constructing a vehicle networking intrusion detection model based on federated learning is provided, which includes decoupling a local model according to a feature extractor and a classifier; selecting other vehicle clients with higher similarity to each vehicle client; collecting a local feature extractor from each vehicle client and distributing them to each vehicle client along with a global classifier obtained in a previous round, by a server; aggregating the local classifier and feature extractor from other vehicle clients to form an evaluation model; updating weights to obtain an updated local feature extractor, and combining it with the global classifier in the previous round to update the local model; aggregating feature representations extracted from a local dataset, and obtaining a current feature representation; collecting all current feature representations to train a global classifier and distributing them to vehicle clients that participate a next round of training.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.