Memory Forensics For Malware

Memory Forensics for Malware is a methodological framework within malware reverse engineering that involves the systematic analysis of volatile memory contents to detect, extract, and analyze malicious artifacts and runtime behaviors of malware that are not easily discernible through static code examination.

17

Publications

709

Citations

47

Authors

26

Institutions

Publications per year

2017–2026

12

Authors

47

  1. İK
    İlker Kara

    Hacettepe University, Türkiye

    2 publications · 204 citations

    2

    h-index

  2. SL
    Seth Lyles

    Lawrence Livermore National Laboratory, United States

    1 publications · 37 citations

    1

    h-index

  3. CT
    Chin‐Wei Tien

    Institute for Information Industry, Taiwan

    1 publications · 30 citations

    1

    h-index

  4. MA
    Murat Aydos

    Hacettepe University, Türkiye

    1 publications · 129 citations

    1

    h-index

  5. CT
    Claire Taylor

    The University of Sydney, Australia

    1 publications · 37 citations

    1

    h-index

1–5 of 47

Venues

  1. Digital Investigation

    8 publications · 267 citations

    8

    h-index

  2. Expert Systems with Applications

    2 publications · 143 citations

    2

    h-index

  3. Journal of Cybersecurity and Privacy

    1 publications · 37 citations

    1

    h-index

  4. Computers & Security

    1 publications · 129 citations

    1

    h-index

  5. Wireless Personal Communications

    1 publications · 15 citations

    1

    h-index

1–5