NE-GConv: A lightweight node edge graph convolutional network for intrusion detection

Tanzeela Altaf; Xu Wang; Wei Ni; Ren Ping Liu; Robin Braun

doi:10.1016/j.cose.2023.103285

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NE-GConv: A lightweight node edge graph convolutional network for intrusion detection

Tanzeela Altaf Xu Wang Wei Ni Ren Ping Liu Robin Braun

Year: 2023 Journal: Computers & Security Vol: 130 Pages: 103285-103285 Publisher: Elsevier BV

DOI: 10.1016/j.cose.2023.103285

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Keywords:

Computer science Enhanced Data Rates for GSM Evolution Intrusion detection system Network packet Node (physics) Graph Convolutional neural network Anomaly detection Data mining Computer network Theoretical computer science Artificial intelligence

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Network Packet Processing and Optimization

Physical Sciences → Computer Science → Hardware and Architecture

NE-GConv: A lightweight node edge graph convolutional network for intrusion detection

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