Detecting vehicle malfunctions and cyber attacks using machine learning
US12001553B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 17, 2021 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Apr 22, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for detecting anomalies or cyber attacks on a vehicle. A computer-implemented method for anomaly or attack detection includes determining, using a first model, a first predicted value of a first variable message associated with a vehicle, determining, using a second model, a second predicted value of the first variable message associated with the vehicle, determining, based on a difference between an actual value of the first variable message and the first predicted value of the first variable message and on a difference between the actual value of the first variable message and the second predicted value of the first variable message, a vector, and determining, using a third model, an output value based on the vector, the output value corresponding to at least one of a likelihood that an anomaly or an attack is occurring or a type of the anomaly or the attack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.