Finding an Efficient FPGA Implementation of the DES Algorithm to Support the Processor Chip on Smartcard

Veronica Ernita Kristianti, E. P. Wibowo, Atit Pertiwi, Hamzah Afandi, Busono Soerowirdjo
{"title":"Finding an Efficient FPGA Implementation of the DES Algorithm to Support the Processor Chip on Smartcard","authors":"Veronica Ernita Kristianti, E. P. Wibowo, Atit Pertiwi, Hamzah Afandi, Busono Soerowirdjo","doi":"10.1109/EIConCIT.2018.8878519","DOIUrl":null,"url":null,"abstract":"The data security or information of any kind is essential to maintain its confidentiality. For that reason, we need a system that can maintain the security of such information. DES (Data Encryption Standard) becomes one of the algorithms that can be used in data and information security system. In this paper, we propose to get the best DES algorithm to apply on System on Chip (SoC). The analysis was performed by comparing between the 16-round pipelines DES algorithms which is the general DES algorithm with the 8-round pipeline DES algorithm which is the result of efficiency. The analysis was done with VHDL (Verilog High Definition Language) design language model and synthesized using XC3ES500E Field Programmable Gate Array (FPGA). The result of the average analysis of the overall resources required by each of the DES algorithms compared is that the 16-round DES requires an average of 21.2% of the resources, while the 8-round DES requires an average of only 9.7%. This shows that the 8-round DES pipeline algorithm is the best and efficient DES algorithm to apply on SoC as a data and information security system.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"25 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The data security or information of any kind is essential to maintain its confidentiality. For that reason, we need a system that can maintain the security of such information. DES (Data Encryption Standard) becomes one of the algorithms that can be used in data and information security system. In this paper, we propose to get the best DES algorithm to apply on System on Chip (SoC). The analysis was performed by comparing between the 16-round pipelines DES algorithms which is the general DES algorithm with the 8-round pipeline DES algorithm which is the result of efficiency. The analysis was done with VHDL (Verilog High Definition Language) design language model and synthesized using XC3ES500E Field Programmable Gate Array (FPGA). The result of the average analysis of the overall resources required by each of the DES algorithms compared is that the 16-round DES requires an average of 21.2% of the resources, while the 8-round DES requires an average of only 9.7%. This shows that the 8-round DES pipeline algorithm is the best and efficient DES algorithm to apply on SoC as a data and information security system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
寻找一种支持智能卡处理器芯片的DES算法的高效FPGA实现
任何类型的数据安全或信息对于保持其机密性至关重要。因此,我们需要一个能够维护这些信息安全的系统。DES (Data Encryption Standard,数据加密标准)成为数据和信息安全系统中可以使用的算法之一。在本文中,我们提出了最好的DES算法应用于片上系统(SoC)。将16轮管道DES算法(一般DES算法)与8轮管道DES算法(效率结果)进行比较分析。采用VHDL (Verilog High Definition Language)设计语言模型进行分析,并利用XC3ES500E现场可编程门阵列(FPGA)进行综合。对每一种DES算法所需要的总体资源进行平均分析比较的结果是,16轮DES平均需要21.2%的资源,而8轮DES平均只需要9.7%的资源。这表明8轮DES流水线算法是最适合应用于SoC数据和信息安全系统的高效DES算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental Study on Zoning, Histogram, and Structural Methods to Classify Sundanese Characters from Handwriting Medicine Stock Forecasting Using Least Square Method Sentiment Analysis of Product Reviews using Naive Bayes Algorithm: A Case Study [EIConCIT 2018 Cover Page] Keynote Speech 3 Internet of Things (IoT) Technology For Star Fruit Plantation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1