Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach. (arXiv:2209.00721v1 [cs.CR])

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