Malware Detection In Memory

Malware Detection in Memory is a computational methodology within memory forensics that identifies malicious software by analyzing volatile system memory contents for behavioral and structural indicators distinct from static code analysis.

40

Publications

1.4K

Citations

110

Authors

59

Institutions

Publications per year

2017–2026

25

Authors

110

  1. AC
    Andrew Case

    University of New Orleans, United States

    2 publications · 46 citations

    2

    h-index

  2. GG
    Golden G. Richard

    University of New Orleans, United States

    2 publications · 46 citations

    2

    h-index

  3. ZS
    Zhendong Su

    University of California, Davis, United States

    2 publications · 63 citations

    2

    h-index

  4. MM
    Miroslaw Malek

    Humboldt-Universität zu Berlin, Germany

    2 publications · 39 citations

    2

    h-index

  5. GW
    Gary Wassermann

    University of California, Davis, United States

    2 publications · 63 citations

    2

    h-index

1–5 of 110

Venues

  1. Digital Investigation

    8 publications · 313 citations

    8

    h-index

  2. Computers & Security

    4 publications · 260 citations

    4

    h-index

  3. IOP Conference Series Materials Science and Engineering

    Conference · 1 publications · 21 citations

    1

    h-index

  4. Mobile Information Systems

    1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5