Anti-virtual Machine Techniques

Anti-Virtual Machine Techniques is a malware evasion technique that specifically aims to detect and circumvent virtualized analysis environments by exploiting discrepancies between virtual machine artifacts and native hardware characteristics to avoid execution or analysis.

36

Publications

2.6K

Citations

115

Authors

56

Institutions

Publications per year

2017–2026

6

Authors

115

  1. DX
    Dongyan Xu

    Purdue University West Lafayette, United States

    5 publications · 929 citations

    5

    h-index

  2. XJ
    Xuxian Jiang

    North Carolina State University, United States

    5 publications · 929 citations

    5

    h-index

  3. JR
    Junghwan Rhee

    Purdue University West Lafayette, United States

    2 publications · 251 citations

    2

    h-index

  4. BM
    Bing Mao

    Sichuan University, China

    2 publications · 57 citations

    2

    h-index

  5. RW
    Rui Wu

    Shanghai Jiao Tong University, China

    2 publications · 57 citations

    2

    h-index

1–5 of 115

Venues

  1. IEEE Security & Privacy

    3 publications · 169 citations

    3

    h-index

  2. Journal in Computer Virology

    1 publications · 24 citations

    1

    h-index

  3. IET Information Security

    1 publications · 21 citations

    1

    h-index

  4. IEEE Access

    1 publications · 14 citations

    1

    h-index

  5. ACM Transactions on Information and System Security

    TISSEC · 1 publications · 94 citations

    1

    h-index

1–5