Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey

Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey

With the rapid development of artificial intelligence and a new generation of network technologies, the Internet of Things (IoT) is expanding worldwide. Malicious agents consistently exploit new technical vulnerabilities to access the various IoT systems used in critical industries, medical diagnosi...

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Bibliographic Details
Main Authors: Abhishek Vyas, Po-Ching Lin, Ren-Hung Hwang, Meenakshi Tripathi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Privacy preservation
federated learning
intrusion detection system
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/10664537/

Internet

https://ieeexplore.ieee.org/document/10664537/

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