Binary Analysis For Exploitability

Binary Analysis for Exploitability is a methodological framework within cybersecurity research that systematically examines compiled binary code to identify and assess software vulnerabilities with respect to their potential for exploitation, distinguishing itself from other analysis techniques by focusing on the executable's structural and behavioral properties in the absence of source-level artifacts.

10

Publications

1.1K

Citations

34

Authors

17

Institutions

Publications per year

2017–2026

4

Authors

34

  1. RP
    Richard P. Lippmann

    MIT Lincoln Laboratory, United States

    2 publications · 300 citations

    2

    h-index

  2. MZ
    Misha Zitser

    D. E. Shaw Research, United States

    2 publications · 300 citations

    2

    h-index

  3. TL
    Tim Leek

    Massachusetts Institute of Technology, United States

    2 publications · 300 citations

    2

    h-index

  4. HB
    Herbert Bos

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 172 citations

    2

    h-index

  5. XC
    Xi Chen

    Virginia Tech, United States

    1 publications · 51 citations

    1

    h-index

1–5 of 34

Venues

  1. Security and Privacy

    1 publications · 13 citations

    1

    h-index

  2. ACM SIGSOFT Software Engineering Notes

    SEN · 1 publications · 73 citations

    1

    h-index

  3. 1

    h-index

  4. Multimedia Tools and Applications

    1 publications · 15 citations

  5. Journal of Systems and Software

    JSS · 1 publications · 12 citations

1–5