Attack Surface Metrics

Attack Surface Metrics is a quantitative assessment framework that characterizes the total number and nature of potential entry points in a system where an attacker could exploit vulnerabilities, distinguished by its focus on measuring structural exposure to threats rather than the severity or likelihood of individual attacks.

39

Publications

2.5K

Citations

138

Authors

70

Institutions

Publications per year

2017–2026

14

Authors

138

  1. DS
    Dong Seong Kim

    University of Canterbury, New Zealand

    3 publications · 77 citations

    3

    h-index

  2. JB
    Jin B. Hong

    University of Canterbury, New Zealand

    2 publications · 62 citations

    2

    h-index

  3. PK
    Pratyusa K. Manadhata

    Hewlett-Packard (United States), United States

    2 publications · 701 citations

    2

    h-index

  4. JM
    Jeannette M. Wing

    Carnegie Mellon University, United States

    2 publications · 701 citations

    2

    h-index

  5. NM
    Nuthan Munaiah

    Rochester Institute of Technology, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 138

Venues

  1. Computers & Security

    3 publications · 164 citations

    3

    h-index

  2. Journal of Systems and Software

    JSS · 2 publications · 66 citations

    2

    h-index

  3. Computer Networks

    2 publications · 53 citations

    2

    h-index

  4. Computers & Electrical Engineering

    1 publications · 30 citations

    1

    h-index

  5. Recent Advances in Intrusion Detection

    Conference · 1 publications · 11 citations

    1

    h-index

1–5