The goal of dds.base is to provide tidy data sets for data driven security purposes.
You can install the released version of dds.base from Github with:
devtools::install_.packages_github("DDS-MCSM/dds.base")
library(dds.base)
tini <- Sys.time()
ftps10k <- dds.base::getScansioFTPs(scope = 10000, seed = 42)
fini <- Sys.time()
fini - tini
[TODO] Detailed description of project, data sets, motivation, possible correlations, etc...
[TODO] Detailed description of data sets, variables, motivation, possible correlations, etc...
- FTP connections TCP/21
library(dds.base)
ftps <- getScansioFTPs()
Or load sample data frame with 500, 1000 or 10.000 random observations
ftps <- readRDS("data/df500_ftps.rds")
[TODO] Detailed description of project, data sets, motivation, possible correlations, etc...