GenAI-Based Jamming and Spoofing Attacks on UAVs

• Published in: IEEE access Vol. 13; pp. 107596 - 107620
• Main Authors: Sonmez Sarikaya, Burcu, Bahtiyar, Serif
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomous aerial vehicles; Computation; Cyber security; Data models; Drones; Generative adversarial networks; Generative AI; Generative artificial intelligence; Global Positioning System; Intrusion detection; intrusion detection system; Intrusion detection systems; Jamming; Machine learning algorithms; Probabilistic models; Protocols; Security; Spoofing; Synthetic data; uncrewed aerial vehicles; Unmanned aerial vehicles

Recently, aerial vehicles have been more connected than ever, where there are many types of the vehicles. Uncrewed Aerial Vehicles (UAVs) operate on various environments with different technologies that are subject to many attacks. Creating effective intrusion detection systems against such attacks...