Patent · US Active

Using staged machine learning to enhance vehicles cybersecurity

US12309175B2 · kind B2 · utility

0Cited by

0References

14Claims

0Family size

Assignee

RED BEND LTD. · IL

Inventors

Shachar Mendelowitz · Nes Ziona, IL
Nir Morgulis · Petah Tikva, IL

Key dates

Filing date	Jun 14, 2022
Grant date	May 20, 2025
Priority date	—
Expiry date	Apr 13, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/044
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed herein are systems and methods for detecting potential malicious attacks in vehicles operational environment using staged Machine Learning (ML), comprising creating a plurality of features vectors each comprising a plurality of features extracted from vehicle operational data generated by a plurality of devices deployed in one or more vehicles which is indicative of operation of the one or more vehicles, detecting, in real-time, a plurality of anomaly feature vectors using one or more unsupervised ML models applied to the plurality of feature vectors, identifying, in real-time, one or more potential cyberattack events using one or more supervised ML models applied to the plurality of anomaly feature vectors, and generating an alert indicative of the one or more potential cyberattack events.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.