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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| Main Authors: | William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10960408/ |
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