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anomalyDetection

Authors: Brad Boehmke & Robert Gutierrez License: GPL-3.0

anomalyDetection implements procedures to aid in detecting network log anomolies. By combining various multivariate analytic approaches relevant to network anomoly detection, it provides cyber analysts efficient means to detect suspected anomalies requiring further evaluation.

Installation

You can install anomalyDetection two ways.

  • Using the latest released version from CRAN:
install.packages("anomalyDetection")
  • Using the latest development version from GitHub:
if (packageVersion("devtools") < 1.6) {
  install.packages("devtools")
}

devtools::install_github("AFIT-R/anomalyDetection", build_vignettes = TRUE)

Learning

To get started with anomalyDetection, read the intro vignette: vignette("Introduction", package = "anomalyDetection"). This will provide a thorough introduction to the functions provided in the package.

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Version

Monthly Downloads

38

Version

0.1.2

License

GPL (>= 2)

Issues

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Maintainer

Bradley Boehmke

Last Published

July 8th, 2017

Functions in AnomalyDetection (0.1.2)

bd_row

Breakdown for Mahalanobis Distance
factor_analysis

Factor Analysis with Varimax Rotation
mc_adjust

Multi-Collinearity Adjustment
%>%

Pipe functions
principal_components

Principal Component Analysis
principal_components_result

Easy Access to Principal Component Analysis Results
horns_curve

Horn's Parallel Analysis
inspect_block

Block Inspection
factor_analysis_results

Easy Access to Factor Analysis Results
get_all_factors

Find All Factors
security_logs

Security Log Data
tabulate_state_vector

Tabulate State Vector
kaisers_index

Kaiser's Index of Factorial Simplicity
mahalanobis_distance

Mahalanobis Distance