Assigning Trust to Devices in the Context of Consumer IoT Applications

IF 3.7 4区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Consumer Electronics Magazine Pub Date : 2024-01-01 DOI:10.1109/mce.2022.3154357
E. Macedo, Flávia Coimbra Delicato, L. Moraes, G. Fortino
{"title":"Assigning Trust to Devices in the Context of Consumer IoT Applications","authors":"E. Macedo, Flávia Coimbra Delicato, L. Moraes, G. Fortino","doi":"10.1109/mce.2022.3154357","DOIUrl":null,"url":null,"abstract":"With the outstanding growth in the number of consumer Internet of Things (IoT) connected devices, especially boosted by smart home applications and wearables, there is a need to provide such devices with security. If any device in such consumer IoT systems gets compromised, a data leak may cause serious threats to privacy, material losses, and even put people's lives at risk. Therefore, in this article, we focus on challenges associated with the trust involving communication between IoT devices, which is a key security-related characteristic in consumer IoT applications. A mathematical trust metric, based on a two-level approach, is used to illustrate how the presented proposal can be useful in the objective assessment of confidence and, consequently, provide better security among IoT devices.","PeriodicalId":54330,"journal":{"name":"IEEE Consumer Electronics Magazine","volume":"1 1","pages":"12-21"},"PeriodicalIF":3.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Consumer Electronics Magazine","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mce.2022.3154357","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 5

Abstract

With the outstanding growth in the number of consumer Internet of Things (IoT) connected devices, especially boosted by smart home applications and wearables, there is a need to provide such devices with security. If any device in such consumer IoT systems gets compromised, a data leak may cause serious threats to privacy, material losses, and even put people's lives at risk. Therefore, in this article, we focus on challenges associated with the trust involving communication between IoT devices, which is a key security-related characteristic in consumer IoT applications. A mathematical trust metric, based on a two-level approach, is used to illustrate how the presented proposal can be useful in the objective assessment of confidence and, consequently, provide better security among IoT devices.
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
在消费者物联网应用环境中为设备分配信任
-随着消费者物联网连接设备数量的显著增长,特别是在智能家居应用和可穿戴设备的推动下,需要为这些设备提供安全性。如果此类消费物联网系统中的任何设备遭到入侵,数据泄露可能会对隐私造成严重威胁,造成物质损失,甚至危及人们的生命。因此,在本文中,我们将重点关注与物联网设备之间通信的信任相关的挑战,这是消费者物联网应用中与安全相关的关键特征。基于两级方法的数学信任度量用于说明所提出的提案如何在客观评估置信度方面有用,从而在物联网设备之间提供更好的安全性。
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
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine Computer Science-Hardware and Architecture
CiteScore
10.00
自引率
8.90%
发文量
151
期刊介绍: The scope will cover the following areas that are related to “consumer electronics” and other topics considered of interest to consumer electronics: Video technology, Audio technology, White goods, Home care products, Mobile communications, Gaming, Air care products, Home medical devices, Fitness devices, Home automation & networking devices, Consumer solar technology, Home theater, Digital imaging, In Vehicle technology, Wireless technology, Cable & satellite technology, Home security, Domestic lighting, Human interface, Artificial intelligence, Home computing, Video Technology, Consumer storage technology.
期刊最新文献
Novel Data Fusion Scheme for Enhanced User Experiences in Terahertz-Enabled IoNT Evaluating Sustainability and Social Costs of Adversarial Training in Machine Learning Advanced Context-aware Computing for Human Machine Interaction in Consumer Electronics Heterogeneous Parallel Acceleration for Edge Intelligence Systems: Challenges and Solutions Hardware Implementation of Low-Latency Image Denoising with Noise2Noise-Extended Learning for Ultra-High Definition Cameras
×
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