双基乘法器在GF (2m)上的TMVP硬件实现

Shu-Xia Dong, Jeng-Shyang Pan, Chun-Sheng Yang, Chiou-Yng Lee
{"title":"双基乘法器在GF (2m)上的TMVP硬件实现","authors":"Shu-Xia Dong, Jeng-Shyang Pan, Chun-Sheng Yang, Chiou-Yng Lee","doi":"10.1109/ICAWST.2017.8256506","DOIUrl":null,"url":null,"abstract":"Finite field multiplication plays a important roles in the applications of elliptic curve cryptography. In this paper, we use PB and modified polynomial basis(MPB) define a double basis multiplication, where MPB is transformed by PB when F(x) = xm + xn + 1, n ≥. m/2 We find that the double multiplication can transformed into Toeplitz matrix vector produc-t(TMVP). To reduce time and space complexities, we recursively use two-way TMVP approach calculate the product of double basis multiplication. We respectively implement shifted addition algorithm and TMVP approach in hardware chip FPGA Kintex7-xc7k325T. The proposed structure can obtain significantly lower area-delay product.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hardware implementation of double basis multiplier using TMVP approach over GF (2m)\",\"authors\":\"Shu-Xia Dong, Jeng-Shyang Pan, Chun-Sheng Yang, Chiou-Yng Lee\",\"doi\":\"10.1109/ICAWST.2017.8256506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Finite field multiplication plays a important roles in the applications of elliptic curve cryptography. In this paper, we use PB and modified polynomial basis(MPB) define a double basis multiplication, where MPB is transformed by PB when F(x) = xm + xn + 1, n ≥. m/2 We find that the double multiplication can transformed into Toeplitz matrix vector produc-t(TMVP). To reduce time and space complexities, we recursively use two-way TMVP approach calculate the product of double basis multiplication. We respectively implement shifted addition algorithm and TMVP approach in hardware chip FPGA Kintex7-xc7k325T. The proposed structure can obtain significantly lower area-delay product.\",\"PeriodicalId\":378618,\"journal\":{\"name\":\"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAWST.2017.8256506\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2017.8256506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

有限域乘法在椭圆曲线密码的应用中起着重要的作用。本文利用PB和修正多项式基(MPB)定义了一个双基乘法,当F(x) = xm + xn + 1, n≥时,MPB被PB变换。我们发现二重乘法可以转化为Toeplitz矩阵向量积-t(TMVP)。为了减少时间和空间复杂性,我们递归地使用双向TMVP方法计算双基乘法的乘积。在硬件芯片FPGA Kintex7-xc7k325T上分别实现了移位加法算法和TMVP方法。所提出的结构可以获得明显较低的面积延迟积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware implementation of double basis multiplier using TMVP approach over GF (2m)
Finite field multiplication plays a important roles in the applications of elliptic curve cryptography. In this paper, we use PB and modified polynomial basis(MPB) define a double basis multiplication, where MPB is transformed by PB when F(x) = xm + xn + 1, n ≥. m/2 We find that the double multiplication can transformed into Toeplitz matrix vector produc-t(TMVP). To reduce time and space complexities, we recursively use two-way TMVP approach calculate the product of double basis multiplication. We respectively implement shifted addition algorithm and TMVP approach in hardware chip FPGA Kintex7-xc7k325T. The proposed structure can obtain significantly lower area-delay product.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信