BS-GAT: a network intrusion detection system based on graph neural network for edge computing

BS-GAT: a network intrusion detection system based on graph neural network for edge computing

Abstract The emergence of Edge Computing has led to an increasingly intricate and widespread issue of network infiltration in Edge Computing devices. Therefore, it is crucial to explore intelligent, automated, and resilient methods for network intrusion detection. Graph neural network-based techniqu...

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Bibliographic Details
Main Authors: Yalu Wang, Zhijie Han, Ying Du, Jie Li, Xin He
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Cybersecurity
Subjects:
Internet of Things
Network intrusion
Graph neural network
Behavior similarity
Graph construction
Online Access:https://doi.org/10.1186/s42400-024-00296-8
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https://doi.org/10.1186/s42400-024-00296-8

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