BGNN: Detection of BGP Anomalies Using Graph Neural Networks
Author:
Affiliation:
1. Université de La Réunion, LIM,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9912737/9912463/09912989.pdf?arnumber=9912989
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Realtime BGP Anomaly Detection Using Graph Centrality Features;Lecture Notes on Data Engineering and Communications Technologies;2024
2. A Deep Learning Approach for BGP Security Improvement;Lecture Notes in Networks and Systems;2024
3. Detecting BGP Anomalies based on Spatio-Temporal Feature Representation Model for Autonomous Systems;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
4. BiRNNs-SAT for Detecting BGP Traffic Anomalies in Communication Networks;The 6th International Conference on Machine Learning and Machine Intelligence;2023-10-27
5. BGP anomaly detection - a path-based apporach;2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2023-02
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