Statistical Intrusion Detection

Statistical Intrusion Detection is an intrusion detection method that belongs to the class of anomaly detection techniques and is distinguished by its use of statistical models to characterize normal system behavior and identify deviations indicative of potential intrusions.

120

Publications

6.5K

Citations

348

Authors

181

Institutions

Publications per year

2017–2026

38

Authors

348

  1. AJ
    Aruna Jamdagni

    University of Technology Sydney, Australia

    3 publications · 60 citations

    3

    h-index

  2. XH
    Xiangjian He

    University of Technology Sydney, Australia

    3 publications · 60 citations

    3

    h-index

  3. QC
    Qiang Chen

    Arizona State University, United States

    3 publications · 419 citations

    3

    h-index

  4. CC
    Christian Callegari

    University of Pisa, Italy

    3 publications · 41 citations

    3

    h-index

  5. ZT
    Zhiyuan Tan

    Edinburgh Napier University, United Kingdom

    3 publications · 60 citations

    3

    h-index

1–5 of 348

Venues

  1. Security and Communication Networks

    3 publications · 36 citations

    3

    h-index

  2. 3

    h-index

  3. Information Sciences

    2 publications · 130 citations

    2

    h-index

  4. Journal of computing sciences in colleges

    2 publications · 63 citations

    2

    h-index

  5. IEEE Access

    2 publications · 113 citations

    2

    h-index

1–5