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.


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    Titel :

    DETECTING VEHICLE MALFUNCTIONS AND CYBER ATTACKS USING MACHINE LEARNING


    Weitere Titelangaben:

    ERKENNUNG VON FAHRZEUGDEFEKTEN UND CYBERANGRIFFEN MITTELS MASCHINENLERNEN
    DÉTECTION DE DYSFONCTIONNEMENTS DE VÉHICULE ET DE CYBERATTAQUES À L'AIDE D'UN APPRENTISSAGE AUTOMATIQUE


    Beteiligte:
    COHEN DROR (Autor:in) / KREINES ALEXANDER (Autor:in) / MENDELOWITZ SHACHAR (Autor:in)

    Erscheinungsdatum :

    2023-06-28


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    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

    COHEN DROR / KREINES ALEXANDER / MENDELOWITZ SHACHAR | Europäisches Patentamt | 2022

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