Cross-site Scripting Detection

Cross-Site Scripting Detection is a systematic method within Static Vulnerability Analysis and Dynamic Application Security Testing that identifies vulnerabilities enabling unauthorized execution of client-side scripts through unsanitized user inputs in web applications.

130

Publications

6.3K

Citations

359

Authors

162

Institutions

Publications per year

2017–2026

56

Authors

359

  1. EK
    Engin Kirda

    Northeastern University, United States

    5 publications · 1.3K citations

    5

    h-index

  2. BB
    Brij B. Gupta

    National Institute of Technology Kurukshetra, India

    5 publications · 351 citations

    5

    h-index

  3. MJ
    Martin Johns

    Technische Universität Braunschweig, Germany

    4 publications · 410 citations

    4

    h-index

  4. CK
    Christopher Kruegel

    University of California, Santa Barbara, United States

    4 publications · 1.2K citations

    4

    h-index

  5. SG
    Shashank Gupta

    Birla Institute of Technology and Science, Pilani, India

    4 publications · 339 citations

    4

    h-index

1–5 of 359

Venues

  1. Information and Software Technology

    3 publications · 307 citations

    3

    h-index

  2. 3

    h-index

  3. IEEE Access

    3 publications · 210 citations

    3

    h-index

  4. Procedia Computer Science

    3 publications · 84 citations

    3

    h-index

  5. 2

    h-index

1–5