Lightweight Architecture for Elliptic Curve Scalar Multiplication over Prime Field

Yue Hao, Shun’an Zhong, Mingzhi Ma, Rongkun Jiang, Shihan Huang, Jingqi Zhang, Weijiang Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

In this paper, we present a novel lightweight elliptic curve scalar multiplication architecture for random Weierstrass curves over prime field (Formula presented.). The elliptic curve scalar multiplication is executed in Jacobian coordinates based on the Montgomery ladder algorithm with (X,Y)-only common Z coordinate arithmetic. At the finite field operation level, the adder-based modular multiplier and modular divider are optimized by the pre-calculation method to reduce the critical path while maintaining low resource consumption. At the group operation level, the point addition and point doubling methods in (X,Y)-only common Z coordinate arithmetic are modified to improve computation parallelism. A compact scheduling method is presented to improve the architecture’s performance, which includes appropriate scheduling of finite field operations and specific register connections. Compared with existing works, our design is implemented on the FPGA platform without using DSPs or BRAMs for higher portability. It utilizes 6.4~6.5k slices in Kintex-7, Virtex-7, and ZYNQ FPGA and executes an elliptic curve scalar multiplication for a field size of 256-bit in 1.73 ms, 1.70 ms, and 1.80 ms, respectively. Additionally, our design is resistant to timing attacks, simple power analysis attacks, and safe-error attacks. This architecture outperforms most state-of-the-art lightweight designs in terms of area-time products.

Original languageEnglish
Article number2234
JournalElectronics (Switzerland)
Volume11
Issue number14
DOIs
Publication statusPublished - Jul 2022

Keywords

  • Co-Z arithmetic
  • Montgomery ladder
  • elliptic curve cryptography (ECC)
  • field programmable gate array (FPGA)
  • lightweight implementation

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