A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security

arXiv:2312.04135v2 Announce Type: replace
Abstract: 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 studies predominantly focused on centralized intrusion detection, assuming a central entity responsible for storing and analyzing data from all devices.However, these approaches face challenges including computation and storage costs, along with a single point of failure risk, threatening data privacy and availability. The widespread dispersion of data across interconnected devices underscores …

arxiv challenges cs.cr cs.lg data detection devices distributed dynamic federated federated learning ids intrusion intrusion detection nature networks novel privacy privacy and security responsible security security challenges studies uavs vehicles