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Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach. (arXiv:2209.00721v3 [cs.CR] UPDATED)
Nov. 3, 2022, 1:20 a.m. | Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Aldri Luiz dos Santos, Osamu Saotome
cs.CR updates on arXiv.org arxiv.org
The constantly evolving digital transformation imposes new requirements on
our society. Aspects relating to reliance on the networking domain and the
difficulty of achieving security by design pose a challenge today. As a result,
data-centric and machine-learning approaches arose as feasible solutions for
securing large networks. Although, in the network security domain, ML-based
solutions face a challenge regarding the capability to generalize between
different contexts. In other words, solutions based on specific network data
usually do not perform satisfactorily on …
detection federated learning intrusion intrusion detection networks
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