Data Flow Tracking

Data Flow Tracking is a runtime application protection method that monitors the movement of data within a program during execution to detect and prevent unauthorized or anomalous information flows by uniquely identifying how sensitive data propagates through variables, memory locations, and system calls.

147

Publications

9.4K

Citations

498

Authors

183

Institutions

Publications per year

2017–2026

48

Variants

Information Flow Tracking

Authors

498

  1. FT
    Frederic T. Chong

    University of Chicago, United States

    5 publications · 354 citations

    5

    h-index

  2. TS
    Timothy Sherwood

    University of California, Santa Barbara, United States

    5 publications · 391 citations

    5

    h-index

  3. AP
    Alexander Pretschner

    Technical University of Munich, Germany

    4 publications · 151 citations

    4

    h-index

  4. RK
    Ryan Kastner

    University of California San Diego, United States

    4 publications · 121 citations

    4

    h-index

  5. MT
    Mohit Tiwari

    Bharati Vidyapeeth Deemed University, India

    4 publications · 350 citations

    4

    h-index

1–5 of 498

Venues

  1. ACM SIGPLAN Notices

    5 publications · 207 citations

    5

    h-index

  2. 3

    h-index

  3. BMC Bioinformatics

    3 publications · 54 citations

    3

    h-index

  4. USENIX Security Symposium

    Conference · 2 publications · 88 citations

    2

    h-index

  5. 2

    h-index

1–5