Detecting and Mitigating Attacks on GPS Devices

Ngā tūemi rite

• Impact of Dataset and Model Parameters on Machine Learning Performance for the Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles
  mā: Tala Talaei Khoei, me ētahi atu.
  I whakaputaina: (2022-12-01)
• Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning
  mā: Mustapha Mouzai, me ētahi atu.
  I whakaputaina: (2025-06-01)
• CTDNN-Spoof: compact tiny deep learning architecture for detection and multi-label classification of GPS spoofing attacks in small UAVs
  mā: Ahmad Almadhor, me ētahi atu.
  I whakaputaina: (2025-02-01)
• SSRL-UAVs: A Self-Supervised Deep Representation Learning Approach for GPS Spoofing Attack Detection in Small Unmanned Aerial Vehicles
  mā: Abed Alanazi
  I whakaputaina: (2024-09-01)
• Detecting and Mitigating Attacks on GPS Devices
  mā: Jack Burbank, me ētahi atu.
  I whakaputaina: (2024-08-01)