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
Parents
8
1–5 of 8
28
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18
Ruhr University Bochum
Bochum, Germany
2 h-index
5 publications
469 citations
University of Haifa
Haifa, Israel
1 h-index
1 publications
25 citations

University of Bristol
Bristol, United Kingdom
1 h-index
2 publications
24 citations

Israel Electric (Israel)
Haifa, Israel
1 h-index
1 publications
25 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
2 publications
222 citations

University of Qom
Qom, Iran
1 h-index
1 publications
12 citations
Mitsubishi Electric (United States)
Cypress, United States
1 h-index
1 publications
22 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
25 citations
1–8 of 18
1 publications · 22 citations
1
h-index
1 publications · 111 citations
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TDSC · 1 publications · 25 citations
1
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1 publications · 12 citations
1
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1 publications · 25 citations
1
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1–5