Unmanned aerial vehicles (UAVs) have been used in a variety of applications in safety-critical domains such as logistics, transportation, and defense. However, safety assurance is needed for the widespread development and operation of UAVs in urban areas where a failure may lead to physical harm to people, environment, or property. Since UAV s are highly interconnected, security is an important concern for the acceptance of safety-critical UAV applications. Thus, it is needed to ensure that UAV s are protected from attacks, e.g., Global Position System (GPS) signal spoofing, and unauthorized manipulation of flight controls, caused by malicious external agents aiming to compromise system/data confidentiality, integrity, or availability. Artificial Intelligence techniques such as Machine Learning classifiers can be used to support the identification of UAV s attacks. This study presents the development of safety and security diagnostic methods for UAVs. Two multiclass approaches are proposed, focusing on identifying safety-related failures and security threats such as GPS spoofing and jamming attacks. Various machine learning algorithms are employed, and evaluation metrics demonstrate high accuracy rates across models. The study underscores the importance of addressing both safety and security aspects in UAV s operations and provides pre-processing code for reproducibility. The developed methods contribute to enhancing UAV resilience and understanding safety and security measures in unmanned aerial operations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Smart Self-Diagnosis Method for GPS Attacks and Safety Faults in UAVs


    Beteiligte:


    Erscheinungsdatum :

    04.06.2024


    Format / Umfang :

    280736 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Supervised models for detecting GPS attacks and faults in UAVs: a comparative analysis

    Ferrao, Isadora Garcia / De Oliveira, Andre / Marcal, Vitor et al. | IEEE | 2024


    Diagnosis of safety system faults

    Novak,R.J. / Chrysler,US | Kraftfahrwesen | 1992


    Diagnosis of icing and actuator faults in UAVs using LPV unknown input observers

    Rotondo, Damiano / Cristofaro, Andrea / Johansen, Tor Arne et al. | BASE | 2017

    Freier Zugriff

    UAVs Path Deviation Attacks: Survey and Research Challenges

    Sorbelli, Francesco Betti / Conti, Mauro / Pinotti, Cristina M. et al. | ArXiv | 2021

    Freier Zugriff

    Diagnosis of Cyber Attacks and Faults in Power Networks by Using State Fault Diagnosis Matrix

    Fujita, Y. / Okawa, Y. / Namerikawa, T. | British Library Online Contents | 2013