Attack Surface Mapping

Attack Surface Mapping is a systematic methodological process within cybersecurity research that identifies, catalogs, and analyzes all potential entry points of exposure across digital assets, distinguishing itself from related concepts by providing a comprehensive, structured representation of attackable surfaces to enable proactive threat identification and prioritization.

12

Publications

485

Citations

55

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

55

  1. EB
    Elisa Bertino

    Purdue University West Lafayette, United States

    1 publications · 81 citations

    1

    h-index

  2. KR
    Kui Ren

    University at Buffalo, State University of New York, United States

    1 publications · 32 citations

    1

    h-index

  3. YF
    Yunsi Fei

    Northeastern University, United States

    1 publications · 15 citations

    1

    h-index

  4. XD
    X. D. Zhang

    Pennsylvania State University, United States

    1 publications · 15 citations

    1

    h-index

  5. KL
    Kangjie Lu

    Georgia Institute of Technology, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 55

Venues

  1. Information and Software Technology

    1 publications · 42 citations

    1

    h-index

  2. IEEE Network

    1 publications · 91 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Communications Standards Magazine

    1 publications · 38 citations

    1

    h-index

  5. The Electricity Journal

    1 publications · 20 citations

    1

    h-index

1–5