Data-only Attacks

Data-Only Attacks is a class of binary exploitation technique that subverts program behavior by corrupting non-control data without altering control flow, thereby distinguishing itself from traditional control-flow hijacking attacks by exploiting data integrity violations to achieve malicious outcomes.

19

Publications

602

Citations

73

Authors

30

Institutions

Publications per year

2017–2026

15

Variants

Non-control Data Attacks

Authors

73

  1. DG
    David Gen�s

    University of Maryland, Baltimore, United States

    4 publications · 140 citations

    4

    h-index

  2. KZ
    Kevin Z. Snow

    University of North Carolina at Chapel Hill, United States

    2 publications · 59 citations

    2

    h-index

  3. YN
    Yeoul Na

    University of California, Irvine, United States

    2 publications · 42 citations

    2

    h-index

  4. BF
    Bo Feng

    Xidian University, China

    2 publications · 80 citations

    2

    h-index

  5. SJ
    Somesh Jha

    University of Wisconsin–Madison, United States

    2 publications · 80 citations

    2

    h-index

1–5 of 73

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 21 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Industrial Informatics

    1 publications · 40 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5