Attack Surface Modeling

Attack Surface Modeling is a systematic analytical framework that identifies, categorizes, and represents the totality of potential entry points exploitable by adversaries within a system, distinguishing it from related security analysis methods by its focus on structurally delineating vulnerabilities inherent in system design and configuration.

91

Publications

5.6K

Citations

326

Authors

144

Institutions

Publications per year

2017–2026

42

Authors

326

  1. IK
    Igor Kotenko

    St. Petersburg Institute for Informatics and Automation, Russia

    5 publications · 138 citations

    5

    h-index

  2. AC
    Andrey Chechulin

    St. Petersburg Institute for Informatics and Automation, Russia

    5 publications · 138 citations

    5

    h-index

  3. CT
    Christopher Theisen

    North Carolina State University, United States

    3 publications · 113 citations

    3

    h-index

  4. XO
    Xinming Ou

    Kansas State University, United States

    3 publications · 344 citations

    3

    h-index

  5. SA
    Scott A. DeLoach

    Kansas State University, United States

    2 publications · 283 citations

    2

    h-index

1–5 of 326

Venues

  1. Computers & Security

    6 publications · 250 citations

    6

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 2 publications · 63 citations

    2

    h-index

  3. Journal of Systems and Software

    JSS · 2 publications · 66 citations

    2

    h-index

  4. IEEE Access

    2 publications · 78 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 53 citations

    2

    h-index

1–5