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.


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Reference manual

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install.packages("anomalyDetection")

0.2.3 by Andrew McCarthy, 7 days ago


https://github.com/AFIT-R/anomalyDetection


Report a bug at https://github.com/AFIT-R/anomalyDetection/issues


Browse source code at https://github.com/cran/anomalyDetection


Authors: Andrew McCarthy [aut, cre], Brandon Greenwell [aut], Bradley Boehmke [aut], Robert Gutierrez [aut], Kenneth Bauer [ctb], Trevor Bihl [ctb], Cade Saie [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports caret, dplyr, ggplot2, gmp, magrittr, MASS, matrixStats, plyr, purrr, qdapTools, Rcpp, stats, tibble, tidyr

Suggests gplots, knitr, RColorBrewer, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN