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.
DETECTING VEHICLE MALFUNCTIONS AND CYBER ATTACKS USING MACHINE LEARNING
ERKENNUNG VON FAHRZEUGDEFEKTEN UND CYBERANGRIFFEN MITTELS MASCHINENLERNEN
DÉTECTION DE DYSFONCTIONNEMENTS DE VÉHICULE ET DE CYBERATTAQUES À L'AIDE D'UN APPRENTISSAGE AUTOMATIQUE
28.06.2023
Patent
Elektronische Ressource
Englisch
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
DETECTING VEHICLE MALFUNCTIONS AND CYBER ATTACKS USING MACHINE LEARNING
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