CCDF-TAP: A Context-Aware Conflict Detection Framework for IoT Trigger-Action Programming With Graph Neural Network

The rapid expansion of the Internet of Things (IoT) has led to the development of smart homes and automation systems. Trigger-action programming (TAP) has emerged as a prevalent paradigm used in IoT, facilitating the creation of automation rules. However, with the proliferation of TAP rules, the pot...

Full description

Bibliographic Details

Published in:	IEEE internet of things journal Vol. 11; no. 19; pp. 31534 - 31544
Main Authors:	Xing, Yongheng, Hu, Liang, Du, Xinqi, Shen, Zhiqi, Hu, Juncheng, Wang, Feng
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Automation Conflict detection Context Data mining graph neural network (GNN) Graph neural networks Internet of Things Internet of Things (IoT) Programming Security Smart buildings Smart homes Smart houses trigger-action programming (TAP)
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!