UASDefMeta: A Meta-Learning-Based Defense Approach for Detecting Unmanned Aerial Systems Eavesdropping in Mission-Critical Applications
Year: 2025
Type: article
Source: IEEE Intelligent Systems
Authors: Hassan El Alami, Danda B. Rawat
Institution: Howard University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
OpenAlex ID: W4408358296
