Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule Data

The interactions among automation configuration rule data have led to undesired and insecure issues in smart homes, which are known as interactive threats. Most existing solutions use program analysis to identify interactive threats among automation rules, which is not suitable for closed-source pla...

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Veröffentlicht in:	Proceedings of the ACM on management of data 2023-05, Vol.1 (1), p.1-27, Article 102
Hauptverfasser:	Wang, Guangjing, Ivanov, Nikolay, Chen, Bocheng, Wang, Qi, Nguyen, ThanhVu, Yan, Qiben
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Computing methodologies Information extraction Learning latent representations Machine learning Machine learning approaches Natural language processing Security and privacy Systems security Vulnerability management Vulnerability scanners
Online-Zugang:	Volltext
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