Anomal-E: A self-supervised network intrusion detection system based on graph neural networks-Reference-Cited by-同舟云学术

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks

Published:2022-12 Issue: Volume:258 Page:110030
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Caville Evan,Lo Wai Weng^ORCID,Layeghy Siamak,Portmann Marius

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference34 articles.

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3. A. Grover, J. Leskovec, node2vec: Scalable feature learning for networks, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016, pp. 855–864.

4. E-graphSAGE: A graph neural network based intrusion detection system for IoT;Lo,2022

5. Deep Graph Infomax;Veličković,2019

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