SpencerButt/IDPS-LAAD: Intrusion Detection Prevention System Log Autoencoder Anomaly Detector

IDPS-LAAD is designed to read in a .csv containing the IDPS cyber log. The program will allow users to select what features (variables) in the data they wish to analyze. The program will then automatically prepare the data for ANN analysis. Once the data is prepared for ANN analysis, the IDPS-LAAD will automatically generate a designed experiment to test ANN hyperparameters, and subsequently run ANNs testing each of the hyperparameters. Once the 'optimal' hyperparameters are found the the analytic will analyze the IDPS cyber data and graphically display the results as well as output a user defined top 'n' anomalous observations.

Getting started

Package details

AuthorSpencer Butt
MaintainerSpencer Butt <[email protected]>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SpencerButt/IDPS-LAAD")
SpencerButt/IDPS-LAAD documentation built on May 22, 2019, 2:26 p.m.