【24h】

Efficiencies in Binary Elliptic Curves

机译:二阶椭圆曲线的效率

获取原文

摘要

This paper discusses the choices of elliptic curve models available to the would-be implementer, and assists the decision as to which model to use by examining the links between security and efficiency. In early public key cryptography schemes, such as ElGamal and RSA, the use of finite fields over large prime numbers was prevalent, thus preventing the need for difficult and expensive computations over extension fields. Thus, with the introduction of elliptic curve models, the same computational infrastructure using prime fields was inevitably used. As it became clear that elliptic curve models were more efficient than their public key competitors, they acquired a great deal of attention. In more recent times, and with the onset of the Internet of Things, the cryptography community is faced with the challenge of improving the efficiency of cryptography even further, resulting in many papers dealing with improvements of computational efficiencies. This search, along with improvements in both software and hardware dealing with characteristic two fields has instigated the analysis of elliptic curve constructions over binary extension fields. In particular, the ability to identify an object in the field with a bit string aids computation for binary elliptic curves. These circumstances account for our focus on binary elliptic curve fields in this paper in which we present an in-depth discussion on their efficiency and security properties along with other relevant features of various binary elliptic curve models.
机译:本文讨论了可供实施者使用的椭圆曲线模型的选择,并通过检查安全性和效率之间的联系来帮助决定使用哪种模型。在诸如ElGamal和RSA之类的早期公钥加密方案中,普遍使用大质数上的有限域,从而避免了对扩展域进行困难且昂贵的计算的需求。因此,随着椭圆曲线模型的引入,不可避免地使用了使用素数域的相同计算基础结构。显然,椭圆曲线模型比其公钥竞争者更有效,因此引起了极大的关注。在最近的时间里,随着物联网的出现,密码学界面临着进一步提高密码学效率的挑战,导致许多论文致力于提高计算效率。这种搜索,以及在处理特征两个字段的软件和硬件方面的改进,已经促使对二进制扩展字段上的椭圆曲线构造进行分析。特别地,利用位串识别字段中的对象的能力有助于二进制椭圆曲线的计算。这些情况说明了我们对二进制椭圆曲线字段的关注,在本文中,我们对它们的效率和安全性以及各种二进制椭圆曲线模型的其他相关特征进行了深入的讨论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号