An unmanned aerial vehicle (UAV) or "drone" executes a neural network to assist with inspection, surveillance, reporting, and other missions. The drone inspection neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation to an asset along a preprogrammed flight path and/or during its mission (e.g., as it scans and inspects an asset). A HAPS platform may execute a neural network (a "HAPSNN") as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.


    Access

    Download


    Export, share and cite



    Title :

    UNMANNED AERIAL VEHICLE WITH IMMUNITY TO HIJACKING, JAMMING, AND SPOOFING ATTACKS


    Additional title:

    UNBEMANNTES LUFTFAHRZEUG MIT WARNUNG VOR ENTFÜHRUNGS-, STÖRUNGS- UND TÄUSCHANGRIFFEN
    VÉHICULE AÉRIEN SANS PILOTE PROTÉGÉ CONTRE DES ATTAQUES DE DÉTOURNEMENT, DE BROUILLAGE ET DE MYSTIFICATION


    Contributors:
    STEIN EYAL (author)

    Publication date :

    2024-10-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / B64U / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze







    Exploring Jamming and Hijacking Attacks for Micro Aerial Drones

    Mekdad, Yassine / Acar, Abbas / Aris, Ahmet et al. | ArXiv | 2024

    Free access