LOIS: Low-cost Packet Header Protection for IoT Devices

Minmei Wang, Shouqian Shi, Xiaoxue Zhang, Song Han, Chen Qian
{"title":"LOIS: Low-cost Packet Header Protection for IoT Devices","authors":"Minmei Wang, Shouqian Shi, Xiaoxue Zhang, Song Han, Chen Qian","doi":"10.1145/3576842.3582380","DOIUrl":null,"url":null,"abstract":"The widely deployed IoT devices in various applications, such as smart homes and smart factories, pose new privacy concerns. IoT devices typically capture users’ activities or collect information from their surroundings and then send the information to remote cloud servers, exposing private information to passive adversaries by looking at the packet headers. Thus, in an enhanced IoT security protocol, protecting privacy also requires hiding packet headers and other traffic metadata. This work presents the LOIS framework, a packet-level packet header protector based on efficient one-time keystreams. LOIS allows IoT devices to efficiently hide the IP and port information in packet headers while allowing the cloud to recover the original packet headers. Besides, LOIS can easily integrate with existing IoT traffic padding algorithms to hide traffic patterns. We implement LOIS on commodity servers running in a public cloud. Our experimental results show that LOIS only introduces moderate overhead. For example, results show that LOIS only incurs about 250–365 ns end-to-end latency on average for the upload traffic, which is 80%–90% less than that of IPsec.","PeriodicalId":266438,"journal":{"name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3576842.3582380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The widely deployed IoT devices in various applications, such as smart homes and smart factories, pose new privacy concerns. IoT devices typically capture users’ activities or collect information from their surroundings and then send the information to remote cloud servers, exposing private information to passive adversaries by looking at the packet headers. Thus, in an enhanced IoT security protocol, protecting privacy also requires hiding packet headers and other traffic metadata. This work presents the LOIS framework, a packet-level packet header protector based on efficient one-time keystreams. LOIS allows IoT devices to efficiently hide the IP and port information in packet headers while allowing the cloud to recover the original packet headers. Besides, LOIS can easily integrate with existing IoT traffic padding algorithms to hide traffic patterns. We implement LOIS on commodity servers running in a public cloud. Our experimental results show that LOIS only introduces moderate overhead. For example, results show that LOIS only incurs about 250–365 ns end-to-end latency on average for the upload traffic, which is 80%–90% less than that of IPsec.
LOIS:物联网设备的低成本包头保护
在智能家居和智能工厂等各种应用中广泛部署的物联网设备带来了新的隐私问题。物联网设备通常捕获用户的活动或从周围环境收集信息,然后将信息发送到远程云服务器,通过查看数据包头将私人信息暴露给被动对手。因此,在增强的物联网安全协议中,保护隐私还需要隐藏数据包头和其他流量元数据。本文提出了LOIS框架,一个基于高效的一次性密钥流的包级包头保护器。LOIS允许物联网设备在数据包头中有效地隐藏IP和端口信息,同时允许云恢复原始数据包头。此外,LOIS可以很容易地与现有的物联网流量填充算法集成,以隐藏流量模式。我们在公共云中运行的商品服务器上实现LOIS。我们的实验结果表明,LOIS只引入了适度的开销。例如,结果表明,LOIS对上传流量的端到端延迟平均仅为250 ~ 365 ns,比IPsec减少80% ~ 90%。
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 求助全文
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:604180095
Book学术官方微信