Event Correlation Rules

Event Correlation Rules is a formal method in the domain of cybersecurity incident management that identifies and links related security events by applying logical or statistical criteria to distinguish meaningful patterns from isolated occurrences, thereby reducing alert overload in alert triage.

35

Publications

1.2K

Citations

98

Authors

38

Institutions

Publications per year

2017–2026

2

Authors

98

  1. JL
    Joseph L. Hellerstein

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 121 citations

    2

    h-index

  2. CP
    Chang-Shing Perng

    IBM (United States), United States

    2 publications · 121 citations

    2

    h-index

  3. JP
    John P. Rouillard

    University of Massachusetts Boston, United States

    2 publications · 84 citations

    2

    h-index

  4. SM
    Shaoping Ma

    Tsinghua University, China

    2 publications · 121 citations

    2

    h-index

  5. GJ
    Gabriel Jakobson

    Southern New Hampshire University, United States

    2 publications · 55 citations

    2

    h-index

1–5 of 98

Venues

  1. Journal of Network and Systems Management

    2 publications · 43 citations

    2

    h-index

  2. Software & Systems Modeling

    SoSyM · 1 publications · 39 citations

    1

    h-index

  3. Journal of Parallel and Distributed Computing

    1 publications · 107 citations

    1

    h-index

  4. Nuclear Instruments and Methods

    1 publications · 11 citations

    1

    h-index

  5. Information Security

    Conference · 1 publications · 12 citations

    1

    h-index

1–5