Taint-enhanced Fuzzing

Taint-Enhanced Fuzzing is a vulnerability discovery method that integrates dynamic taint analysis with fuzz testing to track and prioritize the propagation of untrusted input through program paths, thereby improving the precision of identifying security-critical code regions susceptible to exploitation.

10

Publications

497

Citations

44

Authors

24

Institutions

Publications per year

2017–2026

9

Authors

44

  1. MR
    Mohan Rajesh Elara

    Singapore University of Technology and Design, Singapore

    1 publications · 22 citations

    1

    h-index

  2. CA
    Cornelius Aschermann

    Ruhr University Bochum, Germany

    1 publications · 33 citations

    1

    h-index

  3. CB
    Chaouki Bekrar

    Université Grenoble Alpes, France

    1 publications · 79 citations

    1

    h-index

  4. WS
    Wei Song

    North China University of Technology, China

    1 publications · 37 citations

    1

    h-index

  5. LM
    Laurent Mounier

    Verimag, France

    1 publications · 79 citations

    1

    h-index

1–5 of 44

Venues

  1. Journal of Systems Architecture

    JSA · 2 publications · 42 citations

    2

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 1 publications · 72 citations

    1

    h-index

  3. 1

    h-index

  4. Figshare

    Repository · 1 publications · 33 citations

    1

    h-index

  5. IEEE Software

    1 publications · 148 citations

    1

    h-index

1–5