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: | 0.2.4 |
Depends: | R (≥ 2.10) |
Imports: | caret, dplyr, ggplot2, gmp, magrittr, MASS, plyr, purrr, Rcpp (≥ 0.12.11), stats, tibble, tidyr |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | gplots, knitr, RColorBrewer, rmarkdown, testthat |
Published: | 2017-09-22 |
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 |
Reference manual: | anomalyDetection.pdf |
Vignettes: |
Introduction |
Package source: | anomalyDetection_0.2.4.tar.gz |
Windows binaries: | r-devel: anomalyDetection_0.2.4.zip, r-release: anomalyDetection_0.2.4.zip, r-oldrel: anomalyDetection_0.2.4.zip |
OS X El Capitan binaries: | r-release: anomalyDetection_0.2.4.tgz |
OS X Mavericks binaries: | r-oldrel: anomalyDetection_0.2.4.tgz |
Old sources: | anomalyDetection archive |
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