Comparative study of symmetric cryptographic algorithms

Alibek Nurgaliyev, Hua Wang
{"title":"Comparative study of symmetric cryptographic algorithms","authors":"Alibek Nurgaliyev, Hua Wang","doi":"10.1109/NaNA53684.2021.00026","DOIUrl":null,"url":null,"abstract":"This article provides an unbiased comparison of the most popular and commonly used algorithms in the field of data encryption. The capacity to secure data from various attacks, as well as the elapsed time and efficiency of data encryption, are the main features that distinguish encryption algorithms. We compared the most prevalent symmetric encryption algorithms, including DES, 3DES, Blowfish, MARS, and AES, in this study. Each algorithm was compared by processing data blocks of various sizes to estimate encryption and decryption speeds and compare entropy. The given comparison takes into account the behavior and performance of the algorithms while utilizing varied data loads because the main objective is to execute these algorithms with various settings. We also looked at characteristics including flexibility, key extension possibilities, potential attacks, entropy, and security vulnerability of the algorithms, all of which affect the cryptosystem’s efficiency.","PeriodicalId":414672,"journal":{"name":"2021 International Conference on Networking and Network Applications (NaNA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Networking and Network Applications (NaNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NaNA53684.2021.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This article provides an unbiased comparison of the most popular and commonly used algorithms in the field of data encryption. The capacity to secure data from various attacks, as well as the elapsed time and efficiency of data encryption, are the main features that distinguish encryption algorithms. We compared the most prevalent symmetric encryption algorithms, including DES, 3DES, Blowfish, MARS, and AES, in this study. Each algorithm was compared by processing data blocks of various sizes to estimate encryption and decryption speeds and compare entropy. The given comparison takes into account the behavior and performance of the algorithms while utilizing varied data loads because the main objective is to execute these algorithms with various settings. We also looked at characteristics including flexibility, key extension possibilities, potential attacks, entropy, and security vulnerability of the algorithms, all of which affect the cryptosystem’s efficiency.
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
对称密码算法的比较研究
本文对数据加密领域中最流行和最常用的算法进行了公正的比较。保护数据免受各种攻击的能力,以及数据加密的耗时和效率,是区分加密算法的主要特征。在本研究中,我们比较了最流行的对称加密算法,包括DES、3DES、Blowfish、MARS和AES。通过处理不同大小的数据块来比较每种算法,以估计加密和解密速度并比较熵。在使用不同的数据负载时,给出的比较考虑了算法的行为和性能,因为主要目标是用不同的设置执行这些算法。我们还研究了算法的灵活性、密钥扩展可能性、潜在攻击、熵和安全漏洞等特征,所有这些都会影响密码系统的效率。
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
Covert Communication in D2D Underlaying Cellular Network Online Scheduling of Machine Learning Jobs in Edge-Cloud Networks Dual attention mechanism object tracking algorithm based on Fully-convolutional Siamese network Fatigue Detection Technology for Online Learning The Nearest Neighbor Algorithm for Balanced and Connected k-Center Problem under Modular Distance
×
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