Elliptic Curve Software Optimization

Elliptic Curve Software Optimization is a systematic method for enhancing the computational efficiency and implementation performance of elliptic curve cryptographic algorithms in software through algorithmic improvements, efficient arithmetic techniques, and platform-specific optimizations.

8

Publications

245

Citations

28

Authors

18

Institutions

Publications per year

2017–2026

0

Authors

28

  1. TH
    Toshio Hasegawa

    Mitsubishi Electric (Japan), Japan

    1 publications · 12 citations

    1

    h-index

  2. AH
    Ana Helena Sánchez

    Radboud University Nijmegen, Netherlands

    1 publications · 111 citations

    1

    h-index

  3. MH
    Michael Hutter

    Graz University of Technology, Austria

    1 publications · 111 citations

    1

    h-index

  4. PL
    Patrick Longa

    Microsoft (United States), United States

    1 publications · 25 citations

    1

    h-index

  5. PS
    Peter Schwabe

    Radboud University Nijmegen, Netherlands

    1 publications · 111 citations

    1

    h-index

1–5 of 28

Venues

  1. 1

    h-index

  2. Designs Codes and Cryptography

    1 publications · 111 citations

    1

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 25 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Cryptographic Engineering

    1 publications · 25 citations

    1

    h-index

1–5