Work

FGA-IDS: A Federated Learning and GAN-Augmented Intrusion Detection System for UAV Networks

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Collaboration and Internet Computing (CIC)

DOI: 10.1109/cic62241.2024.00017

Authors: Qingli Zeng, Semire Olatunde-Salawu, Farid Nait-Abdesselam

Institution: University of Missouri–Kansas City

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406417726

FWCI: 6.199

Cites: 26

Cited by: 14

Related to: 10