Password Guessing Models

Password Guessing Model is a computational framework in password authentication research that characterizes the predictability of user-chosen passwords by simulating the strategies an adversary employs to systematically infer passwords based on linguistic patterns, user behavior, and statistical analysis of known password datasets.

110

Publications

8.7K

Citations

309

Authors

128

Institutions

Publications per year

2017–2026

47

Variants

Password Guessing Frameworks

Authors

309

  1. SK
    Saranga Komanduri

    Carnegie Mellon University, United States

    6 publications · 1.1K citations

    6

    h-index

  2. LF
    Lorrie Faith Cranor

    Carnegie Mellon University, United States

    6 publications · 1.1K citations

    6

    h-index

  3. RS
    Richard Shay

    Carnegie Mellon University, United States

    5 publications · 911 citations

    5

    h-index

  4. WH
    Weili Han

    Fudan University, China

    5 publications · 236 citations

    5

    h-index

  5. DW
    Ding Wang

    Peking University, China

    5 publications · 472 citations

    5

    h-index

1–5 of 309

Venues

  1. Computers & Security

    6 publications · 250 citations

    6

    h-index

  2. 5

    h-index

  3. USENIX Security Symposium

    Conference · 4 publications · 506 citations

    4

    h-index

  4. 3

    h-index

  5. IEEE Transactions on Dependable and Secure Computing

    TDSC · 3 publications · 96 citations

    3

    h-index

1–5