FD-IDS: Federated Learning with Knowledge Distillation for Intrusion Detection in Non-IID IoT Environments

FD-IDS: Federated Learning with Knowledge Distillation for Intrusion Detection in Non-IID IoT Environments

With the rapid advancement of Internet of Things (IoT) technology, intrusion detection systems (IDSs) have become pivotal in ensuring network security. However, the data produced by IoT devices is typically sensitive and tends to display non-independent and identically distributed (Non-IID) properti...

Full description

Saved in:
Bibliographic Details
Main Authors: Haonan Peng, Chunming Wu, Yanfeng Xiao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
intrusion detection
IoT security
federated learning
knowledge distillation
Non-IID
feature selection
Online Access:https://www.mdpi.com/1424-8220/25/14/4309
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.mdpi.com/1424-8220/25/14/4309

Similar Items