Fuzzy Extraction

Fuzzy Extraction is a cryptographic primitive that belongs to the class of key generation techniques and specifically enables the reliable derivation of a stable cryptographic key from noisy or variable physical measurements, such as those obtained from a Physical Unclonable Function, by simultaneously correcting errors and applying privacy-preserving transformations to ensure security.

103

Publications

6.6K

Citations

305

Authors

156

Institutions

Publications per year

2017–2026

53

Authors

305

  1. LR
    Leonid Reyzin

    Boston University, United States

    6 publications · 1.9K citations

    6

    h-index

  2. AS
    Adam Smith

    Pennsylvania State University, United States

    6 publications · 2.1K citations

    6

    h-index

  3. YD
    Yevgeniy Dodis

    New York University, United States

    5 publications · 2K citations

    5

    h-index

  4. BF
    Benjamin Fuller

    University of Connecticut, United States

    4 publications · 123 citations

    4

    h-index

  5. AK
    Ashok Kumar Das

    International Institute of Information Technology, Hyderabad, India

    4 publications · 269 citations

    4

    h-index

1–5 of 305

Venues

  1. IEEE Internet of Things Journal

    5 publications · 333 citations

    5

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 4 publications · 206 citations

    4

    h-index

  3. 4

    h-index

  4. Security and Communication Networks

    3 publications · 47 citations

    3

    h-index

  5. Sensors

    3 publications · 72 citations

    3

    h-index

1–5