首页> 外文会议>Proceedings of the 7th international conference on emerging databases: technologies, applications, and theory >Efficient Combined Algorithm for Multiplication and Squaring for Fast Exponentiation over Finite Fields GF(2~m)
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Efficient Combined Algorithm for Multiplication and Squaring for Fast Exponentiation over Finite Fields GF(2~m)

机译:有限域GF(2〜m)上快速求幂的乘和平方的高效组合算法

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For big data security, high-speed arithmetic units are needed. Finite field arithmetic has received much attention in error-control codes, cryptography, etc. The modular exponentiation over finite fields is an important and essential cryptographic operation. The modular exponentiation can be performed by a sequence of modular squaring and multiplication based on the binary method. In this paper, we propose a combined algorithm to concurrently perform multiplication and squaring over GF(2~m) using the bipartite method and common operations. We expect that the architecture based on the proposed algorithm can reduce almost a half of latency compared to the existing architecture. Therefore, we expect that our algorithm can be efficiently used for various applications including big data security which demands high-speed computation.
机译:为了大数据安全,需要高速算术单元。有限域算术已在错误控制代码,密码学等领域引起了广泛关注。有限域上的模幂运算是重要且必不可少的密码运算。模幂可以通过基于二进制方法的一系列模平方和乘法来执行。在本文中,我们提出了一种组合算法,可以使用二分法和通用运算同时在GF(2〜m)上执行乘法和平方运算。我们期望与现有架构相比,基于所提出算法的架构可以减少几乎一半的延迟。因此,我们希望我们的算法可以有效地用于各种应用,包括需要高速计算的大数据安全性。

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