Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection. Al-Shehari, T. & Alsowail, R. A. International Journal of Information Security, 22(3):611–629, June, 2023.
Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection [link]Paper  doi  bibtex   
@Article{Al-Shehari:2023:RRA,
  author =       "Taher Al-Shehari and Rakan A. Alsowail",
  title =        "Random resampling algorithms for addressing the
                 imbalanced dataset classes in insider threat
                 detection",
  journal =      j-INT-J-INFO-SEC,
  volume =       "22",
  number =       "3",
  pages =        "611--629",
  month =        jun,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1007/s10207-022-00651-1",
  ISSN =         "1615-5262 (print), 1615-5270 (electronic)",
  ISSN-L =       "1615-5262",
  bibdate =      "Thu Jun 1 08:23:50 MDT 2023",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/intjinfosec.bib",
  URL =          "https://link.springer.com/article/10.1007/s10207-022-00651-1",
  acknowledgement = ack-nhfb,
  ajournal =     "Int. J. Info. Sci.",
  fjournal =     "International Journal of Information Security",
  journal-URL =  "https://link.springer.com/journal/10207",
}

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