QR-Code

Federated Learning-Based Intrusion Detection in IoT Networks: Performance Evaluation and Data Scaling Study

This paper presents a large-scale empirical study aimed at identifying the optimal local deep learning model and data volume for deploying intrusion detection systems (IDS) on resource-constrained IoT devices using federated learning (FL). While previous studies on FL-based IDS for IoT have primaril...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Nurtay Albanbay, Yerlan Tursynbek, Kalman Graffi, Raissa Uskenbayeva, Zhuldyz Kalpeyeva, Zhastalap Abilkaiyr, Yerlan Ayapov
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-07-01
Schriftenreihe:Journal of Sensor and Actuator Networks
Schlagworte:
federated learning
Internet of Things
intrusion detection system
deep learning
data scaling
DNN
Online-Zugang:https://www.mdpi.com/2224-2708/14/4/78
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge