Memory Corruption Analysis

Memory Corruption Analysis is a methodological framework within reverse engineering that identifies and examines improper memory access and manipulation in software systems to discover vulnerabilities arising from deviations in expected memory behavior.

25

Publications

1.5K

Citations

67

Authors

28

Institutions

Publications per year

2017–2026

8

Authors

67

  1. DE
    Dawson Engler

    Stanford University, United States

    3 publications · 247 citations

    3

    h-index

  2. AC
    Andy Chou

    Stanford University, United States

    3 publications · 247 citations

    3

    h-index

  3. YX
    Yichen Xie

    Stanford University, United States

    3 publications · 247 citations

    3

    h-index

  4. FZ
    Ferad Zyulkyarov

    Universitat Politècnica de Catalunya, Spain

    2 publications · 105 citations

    2

    h-index

  5. LD
    Lucas Davi

    Technische Universität Darmstadt, Germany

    2 publications · 29 citations

    2

    h-index

1–5 of 67

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  2. 1

    h-index

  3. ACM SIGSOFT Software Engineering Notes

    SEN · 1 publications · 43 citations

    1

    h-index

  4. RECERCAT (Consorci de Serveis Universitaris de Catalunya)

    Repository · 1 publications · 41 citations

    1

    h-index

  5. ACM SIGARCH Computer Architecture News

    1 publications · 105 citations

    1

    h-index

1–5