Concepedia

Volatility Framework Analysis

Volatility Framework Analysis is a methodological framework in memory forensics that enables the systematic extraction, analysis, and interpretation of volatile memory artifacts from digital systems to identify and investigate runtime processes, injected code, and hidden malicious activities.

2

Publications

31

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

2

Variants

Volatility Framework

Parents

Publications

2

1–2 of 2

Authors

4

  1. DK
    Donghyun Kim

    Korea Military Academy, South Korea

    1 publications · 20 citations

    1

    h-index

  2. DK
    Donghyun Kim

    North Carolina Central University, United States

    1 publications · 20 citations

    1

    h-index

  3. HK
    Huy Kang Kim

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

  4. DB
    Dong Bin Oh

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

  5. DP
    Danilo Petti

    City, University of London, United Kingdom

    1 publications · 11 citations

    0

    h-index

1–5 of 4

Institutions

3

  1. Ajou University

    Suwon, South Korea

    1 h-index

    2 publications

    40 citations

  2. Korea University

    Seoul, South Korea

    1 h-index

    2 publications

    40 citations

  3. Korea Military Academy

    Seoul, South Korea

    1 h-index

    2 publications

    40 citations

  4. Hamburg Institute of International Economics

    Hamburg, Germany

    1 publications

    11 citations

  5. Leibniz University of Applied Sciences

    Hanover, Germany

    1 publications

    11 citations

  6. University of Essex

    Colchester, United Kingdom

    1 publications

    11 citations

1–6 of 3

Venues

  1. Journal of risk and financial management

    JRFM · 1 publications · 11 citations

    1

    h-index

  2. 1

    h-index

1–2