Systematic Analysis of Federated Learning Approaches for Intrusion Detection in the Internet of Things Environment

Systematic Analysis of Federated Learning Approaches for Intrusion Detection in the Internet of Things Environment

The Internet of Things (IoT) has transformed various sectors by connecting devices, services, and applications, which boosts intelligence and operational efficiency. However, this growing connectivity has heightened concerns regarding data privacy and security, particularly for sensitive information...

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Bibliographic Details
Main Authors: Nuha A. Hamad, Khairul Azmi Abu Bakar, Faizan Qamar, Ahmed Mahdi Jubair, Rajina R. Mohamed, Mohamad Afendee Mohamed
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
Internet of Things (IoT)
deep learning (DL)
federated learning (FL)
machine learning (ML)
DDoS attacks
Online Access:https://ieeexplore.ieee.org/document/11017512/
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