Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis

Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis

Intrusion detection in Internet of Things (IoT)-based wireless sensor networks (WSNs) is essential due to their widespread use and inherent vulnerability to security breaches. Traditional centralized intrusion detection systems (IDS) face significant challenges in data privacy, computational efficie...

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Bibliographic Details
Main Authors: Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah
Format: Article
Language:English
Published: PeerJ Inc. 2025-03-01
Series:PeerJ Computer Science
Subjects:
Federated learning
LSTM
Intrusion detection
IoT
Wireless sensor networks
Data privacy
Online Access:https://peerj.com/articles/cs-2751.pdf
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