LR-HIDS: logistic regression host-based intrusion detection system for cloud environments, October 2018

Key informations

  • Dataset: NSL-KDD
  • Architecture: Feature selection using Logistic Regression; Classification done using Bagging Algorithm (MLP, DT, Linear Discriminant Analysis)
  • Targeted for cloud environments (virtual machines)

Information from the paper

  • Important features are selected using factor without regularization, derived from Logistic Regression. (Why not p-values? Not discussed.)
  • Very high accuracy than the previous works

Possible improvement(s) or extension(s)

  • Can be applied on custom datasets and check the robustness of the technique