anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

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.

Version: 0.2.3
Depends: R (≥ 2.10)
Imports: caret, dplyr, ggplot2, gmp, magrittr, MASS, matrixStats, plyr, purrr, qdapTools, Rcpp (≥ 0.12.11), stats, tibble, tidyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: gplots, knitr, RColorBrewer, rmarkdown, testthat
Published: 2017-09-14
Author: Andrew McCarthy [aut, cre], Brandon Greenwell [aut], Bradley Boehmke [aut], Robert Gutierrez [aut], Kenneth Bauer [ctb], Trevor Bihl [ctb], Cade Saie [ctb]
Maintainer: Andrew McCarthy <andrew.mccarthy at theperducogroup.com>
BugReports: https://github.com/AFIT-R/anomalyDetection/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/AFIT-R/anomalyDetection
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: anomalyDetection results

Downloads:

Reference manual: anomalyDetection.pdf
Vignettes: Introduction
Package source: anomalyDetection_0.2.3.tar.gz
Windows binaries: r-devel: anomalyDetection_0.2.3.zip, r-release: anomalyDetection_0.2.3.zip, r-oldrel: anomalyDetection_0.2.3.zip
OS X El Capitan binaries: r-release: anomalyDetection_0.2.3.tgz
OS X Mavericks binaries: r-oldrel: anomalyDetection_0.2.3.tgz
Old sources: anomalyDetection archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=anomalyDetection to link to this page.