ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder-Reference-Cited by-同舟云学术

ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder

Published:2023-03-27 Issue: Volume: Page:
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Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
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Author:

Venturi Andrea¹^ORCID,Ferrari Matteo¹^ORCID,Marchetti Mirco¹^ORCID,Colajanni Michele²^ORCID

Affiliation:

1. University of Modena and Reggio Emilia, Modena, Italy

2. University of Bologna, Bologna, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577651

Reference40 articles.

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5. Giovanni Apruzzese , Pavel Laskov , Edgardo Montes de Oca , Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, and Fabio Di Franco. 2022 . The Role of Machine Learning in Cybersecurity . Digital Threats : Research and Practice ( 2022). Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, and Fabio Di Franco. 2022. The Role of Machine Learning in Cybersecurity. Digital Threats: Research and Practice (2022).

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