In bradleyboehmke/anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

anomalyDetection

anomalyDetection implements procedures to aid in detecting network log anomalies. By combining various multivariate analytic approaches relevant to network anomaly 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("koalaverse/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.

References

Gutierrez, R.J., Boehmke, B.C., Bauer, K.W., Saie, C.M. & Bihl, T.J. (2017) "anomalyDetection: Implementation of augmented network log anomaly detection procedures." The R Journal, 9(2), 354-365. link

bradleyboehmke/anomalyDetection documentation built on Oct. 15, 2019, 12:04 a.m.