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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
This paper also introduces new formulas for doing arithmetic over GF(2^255-19).
📌 3 Key Takeaways
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Objective & Hypothesis:This paper introduces 4 way vectorization of Montgomery ladder on any Montgomery form elliptic curve.
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Key Findings & Data:Our algorithm takes 2M^4+1S^4 (M^4: A vector of four field multiplications, S^4: A vector of four field squarings) per ladder step for variable-scalar variable-point multiplication.
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Conclusion & Impact:This paper also introduces new formulas for doing arithmetic over GF(2^255-19).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Montgomery ladder · elliptic curves · genus 1
Abstract
This paper introduces 4 way vectorization of Montgomery ladder on any Montgomery form elliptic curve. Our algorithm takes 2M^4+1S^4 (M^4: A vector of four field multiplications, S^4: A vector of four field squarings) per ladder step for variable-scalar variable-point multiplication. This paper also introduces new formulas for doing arithmetic over GF(2^255-19).
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Cite This Article
Hışıl, H., Eğrice, B., Yassı, M. (2022). Fast 4 way vectorized ladder for the complete set of Montgomery curves. International Journal of Information Security Science, Volume: 11 Issue: 2. https://ajindex.com/articles/1588986