Password Entropy
Password Entropy is a metric in information security that quantifies the unpredictability of a password by measuring the logarithmic number of possible combinations an attacker must exhaustively search through to guess it, distinguishing it from other password strength indicators by its foundation in information theory.
22
Publications
2.3K
Citations
61
Authors
30
Institutions
Publications per year
2017–2026
5
22
On user choice in graphical password schemes
Darren Davis, Fabian Monrose, Michael K. Reiter · 2004 · 453 citations
Saranga Komanduri, Richard Shay, Patrick Gage Kelley et al. · 2011 · 349 citations
A convenient method for securely managing passwords
J. Alex Halderman, Brent Waters, Edward W. Felten · 2005 · 209 citations
1–5 of 22
61
Ulsan National Institute of Science and Technology, South Korea
2 publications · 36 citations
2
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2
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1
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1
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1
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1–5 of 61
30
Carnegie Mellon University
Pittsburgh, United States
2 h-index
8 publications
2.9K citations

Inner Mongolia University
Hohhot, China
1 h-index
2 publications
22 citations

United States Naval Academy
Annapolis, United States
1 h-index
2 publications
140 citations

Johns Hopkins University
Baltimore, United States
1 h-index
2 publications
906 citations

University of Khartoum
Khartoum, Sudan
1 h-index
5 publications
100 citations
Cisco Systems (United States)
San Jose, United States
1 h-index
1 publications
411 citations
Applied Human Factors (United States)
Helotes, United States
1 h-index
3 publications
48 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
1 publications
70 citations
1–8 of 30
1 publications · 14 citations
1
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TDSC · 1 publications · 17 citations
1
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Conference · 1 publications · 10 citations
1
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1 publications · 37 citations
1
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1 publications · 11 citations
1
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1–5