Detection Latency Optimization

Detection Latency Optimization is a methodological framework in incident detection that systematically minimizes the time interval between the occurrence of a security incident and its identification by enhancing the efficiency and responsiveness of detection mechanisms.

95

Publications

4K

Citations

279

Authors

129

Institutions

Publications per year

2017–2026

38

Authors

279

  1. YM
    Yiorgos Makris

    The University of Texas at Dallas, United States

    4 publications · 82 citations

    4

    h-index

  2. PD
    Petros Drineas

    Rensselaer Polytechnic Institute, United States

    4 publications · 82 citations

    4

    h-index

  3. JP
    John Paul Shen

    Carnegie Mellon University, United States

    3 publications · 226 citations

    3

    h-index

  4. PP
    Pramuditha Perera

    Johns Hopkins University, United States

    2 publications · 51 citations

    2

    h-index

  5. DT
    Devesh Tiwarit

    Oak Ridge National Laboratory, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 279

Venues

  1. IEEE Transactions on Signal Processing

    3 publications · 55 citations

    3

    h-index

  2. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 88 citations

    2

    h-index

  3. IEEE Access

    2 publications · 38 citations

    2

    h-index

  4. 1

    h-index

  5. IEEE Internet of Things Journal

    1 publications · 29 citations

    1

    h-index

1–5