Federated learning-based intrusion detection system for the internet of things using unsupervised and supervised deep learning models

Author:

Olanrewaju-George Babatunde,Pranggono BernardiORCID

Funder

Sheffield Hallam University

Publisher

Elsevier BV

Reference23 articles.

1. TinyML: enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications;Alajlan;Micromachines. (Basel)Micromachines. (Basel),2022

2. Internet of things intrusion detection: centralized, on-device, or federated learning?;Rahman;IEEE Netw.,2020

3. InFeMo: flexible big data management through a federated cloud system;Stergiou;ACM Trans. Internet Technol.,2021

4. Unsupervised federated learning based IoT intrusion detection;Yadav,2021

5. A deep learning-based intrusion detection system for MQTT enabled IoT;Khan;Sensors,2021

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