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Description
This poster presents an Artificial Intelligence (AI) powered Intrusion Detection System (IDS) for Unmanned Aerial Vehicles (UAV) security. The system leverages ML and DL algorithms to detect cyber and physical attacks on UAVs, with plans to implement a Federated Learning (FL) framework and LLM's for performance enhancements
Publication Date
4-1-2025
Keywords
Cyber-Physical Intrusion Detection, Federated learning, LLM'S
Recommended Citation
Dasgupta, Subhram and Badal, Kushal, "AI-Powered Intrusion Detection for UAV Security" (2025). 2025 Graduate Student Research Symposium. 156.
https://digital.library.ncat.edu/gradresearchsymposium25/156
