MDD-FedGNN: A vertical federated graph learning framework for malicious domain detection-Reference-Cited by-同舟云学术

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MDD-FedGNN: A vertical federated graph learning framework for malicious domain detection

Published:2024-12 Issue: Volume:147 Page:104093
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Zhang Sanfeng^ORCID,Hao Qingyu^ORCID,Gong Zijian,Zhu Fengzhou,Wang Yan,Yang Wang

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference46 articles.

1. A survey report on identifying different machine learning algorithms in detecting domain generation algorithms within enterprise network;Ajmera,2020

2. PASSVM: a highly accurate fast flux detection system;Al-Duwairi;Comput. Secur.,2021

3. CONTRA: defending against poisoning attacks in federated learning;Awan,2021

4. Exposure: A passive DNS analysis service to detect and report malicious domains;Bilge;ACM Trans. Inf. Syst. Secur.,2014

5. How attentive are graph attention networks?;Brody,2022

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