Packed Binary Analysis

Packed Binary Analysis is a reverse engineering methodology that specifically identifies and unpacks obfuscated executable code to expose its original form for vulnerability discovery, distinguished from general binary analysis by its focus on defeating packing techniques employed to hinder analysis.

10

Publications

325

Citations

29

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

29

  1. SD
    Saumya Debray

    University of Arizona, United States

    2 publications · 98 citations

    2

    h-index

  2. PX
    Peidai Xie

    National University of Defense Technology, China

    1 publications · 11 citations

    1

    h-index

  3. JP
    Jay Patel

    University of Arizona, United States

    1 publications · 30 citations

    1

    h-index

  4. CL
    Charles Lim

    Swiss German University, Indonesia

    1 publications · 13 citations

    1

    h-index

  5. YW
    Yongjun Wang

    National University of Defense Technology, China

    1 publications · 11 citations

    1

    h-index

1–5 of 29

Venues

  1. Software Practice and Experience

    1 publications · 10 citations

    1

    h-index

  2. Neural Computing and Applications

    1 publications · 11 citations

    1

    h-index

  3. Digital Investigation

    1 publications · 13 citations

    1

    h-index

  4. IEEE Security & Privacy

    1 publications · 129 citations

    1

    h-index

  5. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 22 citations

    1

    h-index

1–5