Secrets Detection In Source Code

Secrets Detection in Source Code is a security analysis method that identifies embedded sensitive information, such as credentials or cryptographic keys, within source code by distinguishing them from non-sensitive data through syntactic, lexical, or pattern-based heuristics.

5

Publications

244

Citations

20

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

20

  1. BR
    Bradley Reaves

    North Carolina State University, United States

    1 publications · 93 citations

    1

    h-index

  2. LG
    Louis Goubin

    Université de Versailles Saint-Quentin-en-Yvelines, France

    1 publications · 37 citations

    1

    h-index

  3. JW
    Junwei Wang

    University of Luxembourg, Luxembourg

    1 publications · 37 citations

    1

    h-index

  4. RP
    Rohan Padhye

    University of California, Berkeley, United States

    1 publications · 40 citations

    1

    h-index

  5. PP
    Pascal Paillier

    CryptoExperts (France), France

    1 publications · 37 citations

    1

    h-index

1–5 of 20

Venues

  1. Journal of Cryptographic Engineering

    1 publications · 37 citations

    1

    h-index

  2. 1

    h-index

1–4