Multivariate Scheme Classification
Multivariate Scheme Classification is a systematic framework in multivariate cryptography that categorizes cryptographic schemes based on their underlying algebraic structures, central maps, and security assumptions, distinguishing them according to the specific design principles and mathematical properties that determine their resistance to known attacks.
7
Publications
344
Citations
33
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
7
Current State of Multivariate Cryptography
Jíntai Ding, Albrecht Petzoldt · IEEE Security & Privacy · 2017 · 107 citations
Carolina Di Anibal, María Susana Rodríguez, Liliana Albertengo · Food Analytical Methods · 2013 · 41 citations · Full text
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Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
1 h-index
3 publications
123 citations
Queen Mary University of London
London, United Kingdom
1 h-index
1 publications
26 citations
University of Missouri
Columbia, United States
1 h-index
1 publications
77 citations

University of Cincinnati
Cincinnati, United States
1 h-index
1 publications
107 citations
Cranfield University
Cranfield, United Kingdom
1 h-index
3 publications
78 citations
Hospital de Santa Maria
Lisbon, Portugal
1 h-index
5 publications
115 citations
University of Oklahoma
Norman, United States
1 h-index
1 publications
19 citations

Universidad Nacional del Sur
Bahía Blanca, Argentina
1 h-index
3 publications
123 citations
1–8 of 14
1 publications · 26 citations
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1 publications · 51 citations
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1 publications · 107 citations
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1 publications · 23 citations
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1 publications · 77 citations
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