Attack Surface Discovery

Attack Surface Discovery is a systematic method within the domain of cybersecurity analysis that identifies and characterizes all potential entry points, interfaces, and exposed assets in a system that could be exploited by an attacker, distinguishing it from related methods by its specific focus on exhaustively mapping actionable attack vectors prior to vulnerability validation or exploitation.

123

Publications

4.9K

Citations

408

Authors

151

Institutions

Publications per year

2017–2026

85

Authors

408

  1. CA
    Chadi Assi

    Concordia University, Canada

    2 publications · 81 citations

    3

    h-index

  2. AF
    Aurélien Francillon

    EURECOM, France

    2 publications · 201 citations

    3

    h-index

  3. MS
    Muhammad Saad

    University of Central Florida, United States

    3 publications · 163 citations

    3

    h-index

  4. SM
    Sudip Mittal

    University of Maryland, Baltimore County, United States

    3 publications · 134 citations

    3

    h-index

  5. AZ
    Apostolis Zarras

    Ruhr University Bochum, Germany

    2 publications · 201 citations

    3

    h-index

1–5 of 408

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 460 citations

    10

    h-index

  2. IEEE Security & Privacy

    6 publications · 107 citations

    6

    h-index

  3. Computer Networks

    1 publications · 16 citations

    2

    h-index

  4. IEEE Access

    2 publications · 205 citations

    2

    h-index

  5. 2

    h-index

1–5