AI-Powered Intrusion Detection for UAV Security

AI-Powered Intrusion Detection for UAV Security

Subhram Dasgupta, Computer Science, College of Engineering, North Carolina Agricultural and Technical State University
Kushal Badal, Computer Science, College of Engineering, North Carolina Agricultural and Technical State University

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