3 papers
cs.CR2025
A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
Ozlem Ceviz, Pinar Sadioglu, Sevil Sen +1
Unmanned aerial vehicles (UAVs) operating within Flying Ad-hoc Networks (FANETs) encounter security challenges due to the dynamic and distributed nature of these networks. Previous…
cs.CR2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning
Ozlem Ceviz, Sevil Sen, Pinar Sadioglu
Flying Ad Hoc Networks (FANETs), which primarily interconnect Unmanned Aerial Vehicles (UAVs), present distinctive security challenges due to their distributed and dynamic characte…
cs.CR2024
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions
Ozlem Ceviz, Sevil Sen, Pinar Sadioglu
Thanks to the rapidly developing technology, unmanned aerial vehicles (UAVs) are able to complete a number of tasks in cooperation with each other without need for human interventi…