FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things

FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things

The Internet of Things (IoT) contains many devices that can compute and communicate, creating large networks. Industrial Internet of Things (IIoT) represents a developed application of IoT, connecting with embedded technologies in production in industrial operational settings to offer sophisticated...

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Bibliographic Details
Main Authors: Tayyab Rehman, Noshina Tariq, Farrukh Aslam Khan, Shafqat Ur Rehman
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
convolutional neural network
federated learning
industrial internet of things
jamming attack
spoofing attack
network intrusion detection
Online Access:https://www.mdpi.com/1424-8220/25/1/10
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