Risk-based Alerting

Risk-Based Alerting is a threat intelligence integration method that prioritizes security alerts based on the assessed likelihood and potential impact of associated threats, distinguishing it from threshold-based approaches by incorporating dynamic risk scoring models to determine alert severity.

23

Publications

727

Citations

75

Authors

46

Institutions

Publications per year

2017–2026

13

Authors

75

  1. AR
    Angus Roberts

    King's College London, United Kingdom

    2 publications · 46 citations

    2

    h-index

  2. DO
    Dominic Oliver

    King's College London, United Kingdom

    2 publications · 46 citations

    2

    h-index

  3. GS
    Giulia Spada

    University of Pavia, Italy

    2 publications · 46 citations

    2

    h-index

  4. PF
    Paolo Fusar‐Poli

    King's College London, United Kingdom

    2 publications · 46 citations

    2

    h-index

  5. RD
    Richard Dobson

    King's College London, United Kingdom

    2 publications · 46 citations

    2

    h-index

1–5 of 75

Venues

  1. Journal of Visualized Experiments

    2 publications · 46 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 1 publications · 22 citations

    1

    h-index

  3. Geosfera Indonesia

    1 publications · 14 citations

    1

    h-index

  4. IEEE Transactions on Industrial Informatics

    1 publications · 124 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 55 citations

    1

    h-index

1–5