Real-time Incident Classification

Real-Time Incident Classification is an incident classification approach that enables the immediate categorization of security events as they occur, distinguished by its reliance on streaming data analysis and low-latency decision-making to support timely threat response.

14

Publications

769

Citations

68

Authors

24

Institutions

Publications per year

2017–2026

9

Authors

68

  1. FC
    Fang Chen

    Data61, Australia

    2 publications · 52 citations

    2

    h-index

  2. CC
    Chen Cai

    Data61, Australia

    2 publications · 52 citations

    2

    h-index

  3. HN
    Hoàng Nguyên

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 52 citations

    2

    h-index

  4. ZF
    Zhen Feng

    Second Affiliated Hospital of Dalian Medical University, China

    1 publications · 46 citations

    1

    h-index

  5. UD
    Ugur Demiryurek

    University of Southern California, United States

    1 publications · 67 citations

    1

    h-index

1–5 of 68

Venues

  1. 1

    h-index

  2. IEEE Transactions on Nuclear Science

    1 publications · 32 citations

    1

    h-index

  3. Accident Analysis & Prevention

    1 publications · 314 citations

    1

    h-index

  4. Big Data and Cognitive Computing

    1 publications · 109 citations

    1

    h-index

  5. IET Intelligent Transport Systems

    1 publications · 40 citations

    1

    h-index

1–5