A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming

Trigger-Action Programming (TAP) is a common user-programming paradigm in Internet of Things (IoT) smart home platforms, allowing users to create customized automation rules to match IoT devices and network services. However, the potential security threats associated with TAP rules are often overloo...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 255; p. 124724
Main Authors:	Xing, Yongheng, Hu, Liang, Du, Xinqi, Shen, Zhiqi, Hu, Juncheng, Wang, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2024
Subjects:	Federated learning Graph attention network Privacy protection Rule threat detection Trigger-action programming Privacy protection Trigger-action programming Federated learning Rule threat detection Graph attention network
ISSN:	0957-4174
Online Access:	Get full text
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