Detection Engineering

Detection Engineering is a systematic discipline within cybersecurity operations that designs, develops, and maintains scalable detection mechanisms by leveraging threat intelligence, data analytics, and adversarial modeling to proactively identify malicious activities within enterprise environments.

56

Publications

2.8K

Citations

165

Authors

87

Institutions

Publications per year

2017–2026

46

Authors

165

  1. RG
    Rigel Gjomemo

    University of Illinois Chicago, United States

    2 publications · 501 citations

    2

    h-index

  2. VN
    V. N. Venkatakrishnan

    University of Illinois Chicago, United States

    2 publications · 501 citations

    2

    h-index

  3. SM
    Sadegh M. Milajerdi

    University of Illinois Chicago, United States

    2 publications · 501 citations

    2

    h-index

  4. BE
    Birhanu Eshete

    University of Illinois Chicago, United States

    2 publications · 501 citations

    2

    h-index

  5. RS
    R. Sekar

    Stony Brook University, United States

    2 publications · 501 citations

    2

    h-index

1–5 of 165

Venues

  1. Computers & Security

    2 publications · 58 citations

    2

    h-index

  2. Knowledge and Information Systems

    2 publications · 198 citations

    2

    h-index

  3. Applied Sciences

    1 publications · 47 citations

    2

    h-index

  4. Computers & Electrical Engineering

    2 publications · 27 citations

    2

    h-index

  5. IEEE Access

    2 publications · 44 citations

    2

    h-index

1–5