Unveiling the potential of graph neural networks for BGP anomaly detection-Reference-Cited by-同舟云学术

Unveiling the potential of graph neural networks for BGP anomaly detection

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Graph Neural Networking
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Author:

Latif Hamid¹,Paillissé Jordi¹,Yang Jinze²,Cabellos-Aparicio Albert¹,Barlet-Ros Pere¹

Affiliation:

1. Universitat Politècnica de Catalunya, Spain

2. Huawei Technologies Co., Ltd., China

Funder

MCIN/AEI

ICREA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3565473.3569188

Reference16 articles.

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4. Yutao Dong , Qing Li , Richard O Sinnott , Yong Jiang , and Shutao Xia . 2021 . ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 1--11 . Yutao Dong, Qing Li, Richard O Sinnott, Yong Jiang, and Shutao Xia. 2021. ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 1--11.

5. Justin Gilmer , Samuel S Schoenholz , Patrick F Riley , Oriol Vinyals , and George E Dahl . 2017 . Neural message passing for quantum chemistry . In International conference on machine learning. PMLR, 1263--1272 . Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. 2017. Neural message passing for quantum chemistry. In International conference on machine learning. PMLR, 1263--1272.

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