Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings

Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings

Smart building applications require robust security measures to ensure system functionality, privacy, and security. To this end, this paper proposes a Federated Learning Intrusion Detection System (FL-IDS) composed of two convolutional neural network (CNN) models to detect network and IoT device att...

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Bibliographic Details
Main Authors: Rosario G. Garroppo, Pietro Giuseppe Giardina, Giada Landi, Marco Ruta
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Future Internet
Subjects:
sustainability
6G
trusted AI
explainable AI
cooperative smart buildings
Online Access:https://www.mdpi.com/1999-5903/17/5/191
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