Memory Corruption Vulnerability Analysis

Memory Corruption Vulnerability Analysis is a systematic methodological framework within binary exploitation research that identifies, characterizes, and exploits deviations in program memory usage to reveal vulnerabilities arising from improper memory management, distinguishing itself by focusing on the precise detection and manipulation of corrupted memory states in executable binaries.

10

Publications

1.4K

Citations

46

Authors

20

Institutions

Publications per year

2017–2026

4

Authors

46

  1. KL
    Konrad Lai

    Intel (United States), United States

    1 publications · 907 citations

    1

    h-index

  2. WT
    Wee Teck Ng

    Nanyang Technological University, Singapore

    1 publications · 14 citations

    1

    h-index

  3. DH
    Danny Hughes

    KU Leuven, Belgium

    1 publications · 21 citations

    1

    h-index

  4. ZL
    Zhiqiang Lin

    The Ohio State University, United States

    1 publications · 325 citations

    1

    h-index

  5. CW
    Chris Wilkerson

    Intel (United States), United States

    1 publications · 907 citations

    1

    h-index

1–5 of 46

Venues

  1. Digital Investigation

    1 publications · 14 citations

    1

    h-index

  2. ACM SIGARCH Computer Architecture News

    1 publications · 907 citations

    1

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 21 citations

    1

    h-index

  4. Journal of Computer Science and Technology

    1 publications · 15 citations

    1

    h-index

  5. ACM Transactions on Privacy and Security

    1 publications · 12 citations

1–5