Source Code Stylometry

Source Code Stylometry is a computational forensic method that identifies the unique stylistic patterns in software source code to attribute authorship or linkage among malware samples based on coding habits and syntactic choices distinct from functional or structural requirements.

34

Publications

1.4K

Citations

105

Authors

62

Institutions

Publications per year

2017–2026

21

Authors

105

  1. RH
    Richard Harang

    DEVCOM Army Research Laboratory, United States

    3 publications · 305 citations

    3

    h-index

  2. RG
    Rachel Greenstadt

    Drexel University, United States

    3 publications · 305 citations

    3

    h-index

  3. SL
    Shlomi Linoy

    University of New Brunswick, Canada

    2 publications · 46 citations

    2

    h-index

  4. AD
    Andrea De Lucia

    University of Salerno, Italy

    2 publications · 220 citations

    2

    h-index

  5. SJ
    Shouling Ji

    Zhejiang University, China

    2 publications · 42 citations

    2

    h-index

1–5 of 105

Venues

  1. Journal of Systems and Software

    JSS · 5 publications · 304 citations

    5

    h-index

  2. 2

    h-index

  3. Arabian Journal for Science and Engineering

    1 publications · 36 citations

    1

    h-index

  4. cIRcle (University of British Columbia)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. International Journal of Network Management

    1 publications · 26 citations

    1

    h-index

1–5