Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction

Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction

The inherent complexity and heterogeneity of the Internet of Things (IoT) ecosystem present significant challenges for developing effective intrusion detection systems. While graph deep-learning-based methods have shown promise in cybersecurity applications, existing approaches primarily construct g...

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Bibliographic Details
Main Authors: Tien Ngo, Jiao Yin, Yong-Feng Ge, Hua Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
network intrusion detection system
graph neural network
similarity-based graph construction
binary classification
multi-class classification
Online Access:https://www.mdpi.com/2078-2489/16/6/499
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