A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM

A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM

Internet of Things (IoT) networks’ wide range and heterogeneity make them prone to cyberattacks. Most IoT devices have limited resource capabilities (e.g., memory capacity, processing power, and energy consumption) to function as conventional intrusion detection systems (IDSs). Researchers have appl...

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Bibliographic Details
Main Authors: Shuroog Alsaleh, Mohamed El Bachir Menai, Saad Al-Ahmadi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
internet of things
intrusion detection system
anomaly detection
machine learning
deep learning
federated learning
Online Access:https://www.mdpi.com/1424-8220/25/4/1039
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