Mobile Application Attack Surface Analysis

Mobile Application Attack Surface Analysis is a systematic method for identifying, classifying, and evaluating potential attack vectors and vulnerabilities inherent in mobile applications, distinguished by its focus on platform-specific characteristics, mobile runtime environments, and app-layer interfaces unique to mobile ecosystems.

23

Publications

2.3K

Citations

90

Authors

38

Institutions

Publications per year

2017–2026

11

Authors

90

  1. EC
    Erika Chin

    University of California, Berkeley, United States

    2 publications · 920 citations

    2

    h-index

  2. AJ
    Adam J. Aviv

    United States Naval Academy, United States

    2 publications · 658 citations

    2

    h-index

  3. PL
    Peng Liu

    Pennsylvania State University, United States

    2 publications · 112 citations

    2

    h-index

  4. DW
    David Wagner

    University of California, Berkeley, United States

    2 publications · 920 citations

    2

    h-index

  5. LL
    Liang Liu

    Sichuan University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 90

Venues

  1. USENIX Security Symposium

    Conference · 2 publications · 82 citations

    2

    h-index

  2. IEEE Access

    2 publications · 34 citations

    2

    h-index

  3. International Journal of Information Security

    1 publications · 26 citations

    1

    h-index

  4. Maryland Shared Open Access Repository (USMAI Consortium)

    Repository · 1 publications · 56 citations

    1

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 49 citations

    1

    h-index

1–5