Symbolic Link Analysis

Symbolic Link Analysis is a forensic method within file system analysis that examines symbolic links to identify their target paths, evaluate their integrity, and detect potential anomalies or malicious redirections in hierarchical storage systems.

7

Publications

320

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

1

Variants

Symlink Analysis

Authors

26

  1. WV
    Wietse Venema

    Eindhoven University of Technology, Netherlands

    1 publications · 23 citations

    1

    h-index

  2. YW
    Yoshihito Watanebe

    National Institute of Advanced Industrial Science and Technology, Japan

    1 publications · 11 citations

    1

    h-index

  3. SH
    Shai Halevi

    IBM (United States), United States

    1 publications · 23 citations

    1

    h-index

  4. GN
    Gian Ntzik

    Imperial College London, United Kingdom

    1 publications · 16 citations

    1

    h-index

  5. NA
    Nguyen Anh Quynh

    National Institute of Advanced Industrial Science and Technology, Japan

    1 publications · 11 citations

    1

    h-index

1–5 of 26

Venues

  1. Information Processing & Management

    1 publications · 18 citations

    1

    h-index

  2. European Sociological Review

    1 publications · 16 citations

    1

    h-index

  3. Empirical Software Engineering

    1 publications · 95 citations

    1

    h-index

  4. Machine Learning and Knowledge Extraction

    1 publications · 10 citations

1–4