Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks

The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional Intrusion Detection Systems, based mainly on signature matching and predefined rules, present limitations in ide...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2025-01-01
الموضوعات:	Graph neural networks (GNNs) intrusion detection in IoT graph-based anomaly detection cybersecurity in IoT networks
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10960408/