Virtual Machine Attack Surface Reduction

Virtual Machine Attack Surface Reduction is a security optimization strategy that systematically minimizes the exposed vulnerabilities and potential entry points in a virtual machine's software, configuration, and runtime environment by eliminating or hardening unnecessary services, interfaces, privileges, and functionalities, thereby reducing the opportunities for exploitation while maintaining essential operational capabilities.

5

Publications

398

Citations

19

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

19

  1. ZG
    Zhongshu Gu

    Purdue University West Lafayette, United States

    1 publications · 30 citations

    1

    h-index

  2. MP
    Michalis Polychronakis

    Stony Brook University, United States

    1 publications · 32 citations

    1

    h-index

  3. JR
    Jennifer Rexford

    Princeton University, United States

    1 publications · 286 citations

    1

    h-index

  4. SB
    Stephen Bono

    Johns Hopkins University, United States

    1 publications · 17 citations

    1

    h-index

  5. TP
    Tapti Palit

    Stony Brook University, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 19

Venues

  1. IEEE Security & Privacy

    1 publications · 17 citations

    1

    h-index

  2. Computers & Security

    1 publications · 12 citations

1–2