Exploit Detection

Exploit Detection is a methodological construct within threat detection that specifically identifies and analyzes techniques used by attackers to leverage vulnerabilities in systems, distinguishing itself from related concepts by focusing on the recognition of active exploitation behaviors rather than mere vulnerability presence or post-compromise indicators.

160

Publications

9.3K

Citations

491

Authors

179

Institutions

Publications per year

2017–2026

65

Authors

491

  1. DB
    David Brumley

    Carnegie Mellon University, United States

    6 publications · 1.1K citations

    6

    h-index

  2. GV
    Giovanni Vigna

    University of California, Santa Barbara, United States

    5 publications · 468 citations

    5

    h-index

  3. PL
    Peng Liu

    Pennsylvania State University, United States

    5 publications · 191 citations

    5

    h-index

  4. XX
    Xinyu Xing

    Pennsylvania State University, United States

    4 publications · 126 citations

    4

    h-index

  5. KC
    Kai Chen

    Chinese Academy of Sciences, China

    3 publications · 145 citations

    3

    h-index

1–5 of 491

Venues

  1. IEEE Transactions on Dependable and Secure Computing

    TDSC · 4 publications · 162 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 50 citations

    3

    h-index

  3. Figshare

    Repository · 3 publications · 517 citations

    3

    h-index

  4. IEEE Access

    3 publications · 60 citations

    3

    h-index

  5. MIS Quarterly

    2 publications · 97 citations

    2

    h-index

1–5