As the application of drones becomes widespread in various fields, the illegal use of drones has also increased, making effective countermeasures and control critically important. This paper proposes a hybrid drone countermeasure method based on a drone platform, which integrates deauthentication flooding attacks, dictionary attacks, and control signal hijacking on the platform. By designing a strategic attack process, this approach enables flexible and effective full control over unauthorized drones. The method automates the attack process using Perl scripts, including detecting the target drone and its channel, disconnecting the drone owner, connecting to the drone's WiFi network, and taking over the illegal drone. This paper demonstrates the effectiveness of the improved method in practical applications, providing new insights and technical support for drone security research. The research results indicate that the improved hijacking method has advantages over general countermeasures and provides important references for developing defense measures in the field of drone security.


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    Titel :

    Autonomous Drone-Borne Anti-Drone System: Leveraging Deauthentication Attacks for Automated Countermeasures


    Weitere Titelangaben:

    Springer Aerospace Techn.


    Beteiligte:
    Zhu, Zheng Hong (George) (Herausgeber:in) / Wei, Xiaohui (Herausgeber:in) / Li, Renfu (Herausgeber:in) / Li, Yujia (Autor:in) / Li, Dongfen (Autor:in) / Ning, Jing (Autor:in) / Lin, Jie (Autor:in) / Wang, Zibin (Autor:in) / Duo, Bin (Autor:in)

    Kongress:

    International Conference on Advanced Unmanned Aerial Systems ; 2024 ; Nanchang, China September 20, 2024 - September 22, 2024



    Erscheinungsdatum :

    18.03.2025


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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