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

arXiv:2312.04135v2 Announce Type: replace-cross
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 …

abstract aerial arxiv challenges cs.cr cs.lg data detection devices distributed dynamic federated learning flying however nature networks novel privacy privacy and security responsible security security challenges studies type unmanned aerial vehicles vehicles