GenAI-Based Jamming and Spoofing Attacks on UAVs

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...

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Veröffentlicht in:	IEEE access Jg. 13; S. 107596 - 107620
Hauptverfasser:	Sonmez Sarikaya, Burcu, Bahtiyar, Serif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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