104 citations · 133 across the 4 of their papers we have counts for
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cs.CR2022★ 104 cited
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Aldri Luiz dos Santos +1
The constantly evolving digital transformation imposes new requirements on our society. Aspects relating to reliance on the networking domain and the difficulty of achieving securi…
cs.CR2021★ 4 cited
Bridging the gap to real-world for network intrusion detection systems with data-centric approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Filipe Alves Neto Verri +2
Most research using machine learning (ML) for network intrusion detection systems (NIDS) uses well-established datasets such as KDD-CUP99, NSL-KDD, UNSW-NB15, and CICIDS-2017. In t…