Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices

Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices

The novelty of Federated Learning (FL) has emerged as a promising alternative to centralized machine learning systems in the context of anomaly-based intrusion detection systems (AIDS) deployed on Internet of Things (IoT) devices. Unlike traditional centralized models, FL allows on-device model trai...

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Bibliographic Details
Main Authors: Umar Audi Isma'ila, Kamaluddeen Usman Danyaro, Aminu Aminu Muazu, Umar Danjuma Maiwada
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Federated learning modeling
IoT devices
anomaly-based intrusion detection
aggregation function
non-IDD data
Online Access:https://ieeexplore.ieee.org/document/10445150/
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