Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
As Unmanned Aerial Vehicles (UAVs) become increasingly popular and affordable, it is essential to ensure their safe operation, especially around critical devices such as the aircraft's GPS. GPS plays an indispensable role in aviation systems. This study presents an efficient multiclass detection method to identify GPS attacks on UAVs, focusing on differentiating between spoofing and jamming attacks. The proposed approach outperforms existing methods. The results obtained in this study contribute to increasing the security of UAVs and provide valuable information for developing robust detection systems to combat evolving threats in the UAV domain.
Recommended Citation
Ferrão, Isadora; Da Silva, Leandro; Bonilla, Daniel; Dezan, Catherine; Espes, David; and Castelo Branco, Kalinka, "Detecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/cl/security/2
Detecting Spoofing and GPS Jamming in UAVs: Multiclass Approach to Attack Diagnosis
Hilton Hawaiian Village, Honolulu, Hawaii
As Unmanned Aerial Vehicles (UAVs) become increasingly popular and affordable, it is essential to ensure their safe operation, especially around critical devices such as the aircraft's GPS. GPS plays an indispensable role in aviation systems. This study presents an efficient multiclass detection method to identify GPS attacks on UAVs, focusing on differentiating between spoofing and jamming attacks. The proposed approach outperforms existing methods. The results obtained in this study contribute to increasing the security of UAVs and provide valuable information for developing robust detection systems to combat evolving threats in the UAV domain.
https://aisel.aisnet.org/hicss-57/cl/security/2