Graph Neural Networks for Intrusion Detection: A Survey

Graph Neural Networks for Intrusion Detection: A Survey

Cyberattacks represent an ever-growing threat that has become a real priority for most organizations. Attackers use sophisticated attack scenarios to deceive defense systems in order to access private data or cause harm. Machine Learning (ML) and Deep Learning (DL) have demonstrate impressive result...

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Bibliographic Details
Main Authors: Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cyberattacks
cybersecurity
deep learning (DL)
graph neural networks (GNNs)
intrusion detection (IDS)
machine learning (ML)
Online Access:https://ieeexplore.ieee.org/document/10123384/

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https://ieeexplore.ieee.org/document/10123384/

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