Hidden Markov Model Attacks
Hidden Markov Model Attacks is a side-channel attack method that exploits the probabilistic temporal dependencies between a device's observable leakage and its internal hidden states by modeling the leakage process as a Hidden Markov Model to infer secret cryptographic keys.
64
Publications
3.3K
Citations
207
Authors
103
Institutions
Publications per year
2017–2026
33
Parents
64
Timing analysis of keystrokes and timing attacks on SSH
Dawn Song, David Wagner, Xuqing Tian · 2001 · 490 citations
Fucheng Liu, Yu Wen, Zhang Dongxue et al. · 2019 · 299 citations
Acoustic side-channel attacks on printers
Michael Backes, Markus Dürmuth, Sebastian Gerling et al. · 2010 · 155 citations
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103

University of Notre Dame
Notre Dame, United States
3 h-index
8 publications
821 citations

The University of Adelaide
Adelaide, Australia
3 h-index
5 publications
86 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
2 h-index
7 publications
116 citations

University of Minnesota
Minneapolis, United States
2 h-index
4 publications
274 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
6 publications
375 citations
Institute of Information Engineering
Beijing, China
2 h-index
6 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
897 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
63 citations
1–8 of 103
2 publications · 61 citations
2
h-index
2 publications · 438 citations
2
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NSE · 2 publications · 84 citations
2
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2 publications · 82 citations
2
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Repository · 2 publications · 42 citations
2
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