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

Authors

33

  1. JA
    Jeffrey A. Cole

    University of Birmingham, United Kingdom

    1 publications · 26 citations

    1

    h-index

  2. AP
    Albrecht Petzoldt

    Kyushu University, Japan

    1 publications · 107 citations

    1

    h-index

  3. DR
    D. Ramsden

    University of Birmingham, United Kingdom

    1 publications · 26 citations

    1

    h-index

  4. MS
    María Susana Rodríguez

    Universidad Nacional del Sur, Argentina

    1 publications · 41 citations

    1

    h-index

  5. CD
    Claire Dawson

    Addenbrooke's Hospital, United Kingdom

    1 publications · 26 citations

    1

    h-index

1–5 of 33

Venues

  1. Metabolomics

    1 publications · 26 citations

    1

    h-index

  2. Microchemical Journal

    1 publications · 51 citations

    1

    h-index

  3. IEEE Security & Privacy

    1 publications · 107 citations

    1

    h-index

  4. Addiction Research & Theory

    1 publications · 23 citations

    1

    h-index

  5. Journal of Counseling Psychology

    1 publications · 77 citations

    1

    h-index

1–5