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Parallel and High-Speed Computations of Elliptic Curve Cryptography Using Hybrid-Double Multipliers

机译:混合双乘器的椭圆曲线密码并行和高速计算

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摘要

High-performance and fast implementation of point multiplication is crucial for elliptic curve cryptographic systems. Recently, considerable research has investigated the implementation of point multiplication on different curves over binary extension fields. In this paper, we propose efficient and high speed architectures to implement point multiplication on binary Edwards and generalized Hessian curves. We perform a data-flow analysis and investigate maximum number of parallel multipliers to be employed to reduce the latency of point multiplication on these curves. Then, we modify the addition and doubling formulations and employ a newly proposed digit-level hybrid-double Gaussian normal basis multiplier to remove the data dependencies and hence reduce the latency of point multiplication. To the best of our knowledge, this is the first time that one employs hybrid-double multiplication technique to reduce the computation time of point multiplication. Moreover, we have implemented our proposed architectures for point multiplication on FPGA and obtained the results of timing and area. Our results indicate that the proposed scheme is one step forward to improve the performance of point multiplication on binary Edward and generalized Hessian curves.
机译:点乘法的高性能和快速实现对于椭圆曲线密码系统至关重要。近来,大量研究已经研究了在二进制扩展域上不同曲线上的点乘法的实现。在本文中,我们提出了高效,高速的体系结构,以在二进制Edwards和广义Hessian曲线上实现点乘法。我们执行数据流分析,并研究可使用的最大并行乘法器数量,以减少这些曲线上点乘法的延迟。然后,我们修改加法和加倍公式,并采用新提出的数字级混合-双高斯正态基础乘子来消除数据依存关系,从而减少点乘的等待时间。据我们所知,这是第一次使用混合双倍乘法技术来减少点乘法的计算时间。此外,我们已经在FPGA上实现了我们提出的用于点乘法的架构,并获得了时序和面积的结果。我们的结果表明,提出的方案是提高二进制爱德华和广义Hessian曲线上点乘法性能的又一步。

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