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
Parents
110
Password memorability and security: empirical results
Junjie Yan, A Blackwell, Ross Anderson et al. · IEEE Security & Privacy · 2004 · 692 citations
Xiaoyuan Suo, Ying Zhu, G. Scott Owen · 2006 · 512 citations
The Tangled Web of Password Reuse
Anupam Das, Joseph Bonneau, Matthew Caesar et al. · 2014 · 433 citations
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128
Carnegie Mellon University
Pittsburgh, United States
9 h-index
46 publications
9K citations
Fudan University
Shanghai, China
6 h-index
21 publications
815 citations

Carleton University
Ottawa, Canada
6 h-index
12 publications
932 citations
Ontario Tech University
Oshawa, Canada
5 h-index
11 publications
807 citations
Microsoft (United States)
Redmond, United States
5 h-index
9 publications
983 citations

Peking University
Beijing, China
4 h-index
9 publications
1.3K citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
171 citations
University of Canberra
Canberra, Australia
3 h-index
3 publications
136 citations
1–8 of 128
6 publications · 250 citations
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5 publications · 167 citations
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Conference · 4 publications · 506 citations
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3 publications · 95 citations
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TDSC · 3 publications · 96 citations
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