Probabilistic Password Cracking is a password recovery method that leverages statistical models and frequency analysis of password datasets to prioritize likely password candidates based on learned patterns, thereby distinguishing it from exhaustive or rule-based cracking techniques.
9
Publications
942
Citations
22
Authors
8
Institutions
Publications per year
2017–2026
3
Parents
Publications
9
Password Cracking Using Probabilistic Context-Free Grammars
Matt Weir, Sudhir Aggarwal, Breno de Medeiros et al. · 2009 · 520 citations
1–5 of 9
Authors
22
- SA
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- SH
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- YL
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- HW
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- KS
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1–5 of 22
Institutions
8
Florida State University
Tallahassee, United States
4 h-index
11 publications
2.5K citations
William & Mary
Williamsburg, United States
2 h-index
4 publications
381 citations
Ruhr University Bochum
Bochum, Germany
1 h-index
1 publications
28 citations
University of Chicago
Chicago, United States
1 h-index
4 publications
112 citations
Williams (United States)
Tulsa, United States
1 h-index
1 publications
51 citations
University of Delaware
Newark, United States
1 h-index
1 publications
51 citations
George Mason University
Fairfax, United States
1 h-index
1 publications
51 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
2 publications
20 citations
1–8 of 8
Venues
- IEEE Transactions on Information Forensics and Security
2 publications · 138 citations
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- arXiv (Cornell University)
Repository · 1 publications · 55 citations
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