Riemannian Space-based Mutual Learning for Cyber Attack Detection-Reference-Cited by-同舟云学术

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Riemannian Space-based Mutual Learning for Cyber Attack Detection

Published:2023-10-27 Issue: Volume: Page:
ISSN:
Container-title:The 6th International Conference on Machine Learning and Machine Intelligence
language:
Short-container-title:

Author:

Huang Hua¹^ORCID,Qu Yansheng¹^ORCID,Li Ming¹^ORCID,Liu Zihan¹^ORCID,Sheng Hua¹^ORCID,Zhao Lina¹^ORCID

Affiliation:

1. Dispatching Operation Center, State Grid Shandong Electric Power Company Information and Communication Company, China

Funder

Science and Technology Project of State Grid Shandong Electric Power Company: Research on Key Technologies of Complex Cyberspace Attack Behavior Analysis Based on Object Portrait

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635638.3635658

Reference33 articles.

1. WEI L M.Research on Network Security Risk Mining and Estimation Based on Big Data Analysis[J]. Techniques of Automation and Applications,2022,41(08):80-83.

2. LI T. Research on the Application of Deep Learning in Network Security Defense[J]. Network Security Technology & Application 2020(01):34-35.

3. Intrusion Detection Technology Based on Deep Learning[J];WANG S M;Network Security Technology & Application

4. BACHMANN G, BÉCIGNEUL G, GANEA O. Constant curvature graph convolutional networks[C]//International Conference on Machine Learning. PMLR, 2020: 486-496.

5. GU A, SALA F, GUNEL B, Learning mixed-curvature representations in product spaces[C]//International Conference on Learning Representations. 2018.

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