A Hybrid Lightweight Cryptographic Scheme For Securing Node Data Based On The Feistel Cipher And MD5 Hash Algorithm In A Local IoT Network

B. Asare, Kester Quist-Aphetsi, Laurent Nana
{"title":"A Hybrid Lightweight Cryptographic Scheme For Securing Node Data Based On The Feistel Cipher And MD5 Hash Algorithm In A Local IoT Network","authors":"B. Asare, Kester Quist-Aphetsi, Laurent Nana","doi":"10.1109/ICMRSISIIT46373.2020.9405869","DOIUrl":null,"url":null,"abstract":"A cryptographic-based encryption algorithm that has low memory and minimal output space requirements as well as involving reduced computational overheads without compromising the strength and security of the encryption is desired for constrained devices in wireless sensor networks. Internet-of-Things (IoT) supports the automated collection and streaming of sensitive data across several other devices through the internet. The insecurity of the internet in supporting communication of critical data between nodes in IoT has been amplified due to the current data breaches and data privacy compromises on such networks in recent times. The paper addresses the challenge of data privacy and integrity breaches among IoT devices with the proposition of a methodology involving a thin cryptographic scheme that combines the Feistel cipher and the MD5 in providing improved security for IoT node data. The results showed an enhanced and fast encryption of data between IoT edge devices and the sink node.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A cryptographic-based encryption algorithm that has low memory and minimal output space requirements as well as involving reduced computational overheads without compromising the strength and security of the encryption is desired for constrained devices in wireless sensor networks. Internet-of-Things (IoT) supports the automated collection and streaming of sensitive data across several other devices through the internet. The insecurity of the internet in supporting communication of critical data between nodes in IoT has been amplified due to the current data breaches and data privacy compromises on such networks in recent times. The paper addresses the challenge of data privacy and integrity breaches among IoT devices with the proposition of a methodology involving a thin cryptographic scheme that combines the Feistel cipher and the MD5 in providing improved security for IoT node data. The results showed an enhanced and fast encryption of data between IoT edge devices and the sink node.
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
本地物联网网络中基于Feistel密码和MD5哈希算法的节点数据保护混合轻量级加密方案
无线传感器网络中的受限设备需要一种基于密码学的加密算法,该算法具有低内存和最小的输出空间需求,并且涉及减少的计算开销,而不会损害加密的强度和安全性。物联网(IoT)支持通过互联网在多个其他设备上自动收集和传输敏感数据。互联网在支持物联网节点之间关键数据通信方面的不安全性由于最近此类网络上的数据泄露和数据隐私妥协而被放大。本文解决了物联网设备之间数据隐私和完整性破坏的挑战,提出了一种方法,该方法涉及一种瘦加密方案,该方案结合了Feistel密码和MD5,为物联网节点数据提供了更好的安全性。结果表明,物联网边缘设备和汇聚节点之间的数据加密增强且快速。
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
3984
期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
期刊最新文献
[ICMRSISIIT 2019 Front matter] Performance Analysis of SISO and MIMO Communication Systems using Multiple Point Scatter Model Effect of COVID-19 on Education in Ghana: Narratives from Primary, Junior High and Senior High School children Gender-inspired Facial Age Recognition based on Reflexivity, Antisymmetry and Transitivity Nature-inspired search method for IoT-based water leakage location detection system
×
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