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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Vydané v:	Expert systems with applications Ročník 255; s. 124724
Hlavní autori:	Xing, Yongheng, Hu, Liang, Du, Xinqi, Shen, Zhiqi, Hu, Juncheng, Wang, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	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
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