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Federated Learning for IoT Security by bn.rosalyzoller is a document available to read on EtoBox.
What is Federated Learning for IoT Security about?
This document presents a PhD proposal focused on developing a Federated Learning-based intrusion detection system for Internet of Things (IoT)-enabled Cyber-Physical Systems (CPS) to enhance security and privacy. It addresses significant challenges in current intrusion detection frameworks, such as vulnerability to cyberattacks and privacy risks associated with centralized data processing. The proposed research aims to create a scalable, adaptive, and privacy-preserving framework that effectively detects em
- Author
- bn.rosalyzoller
- Language
- EN