基于信任的方案,采用物联网架构的证据推理

Alexandros G. Fragkiadakis, E. Tragos
{"title":"基于信任的方案,采用物联网架构的证据推理","authors":"Alexandros G. Fragkiadakis, E. Tragos","doi":"10.1109/WF-IoT.2016.7845509","DOIUrl":null,"url":null,"abstract":"IoT architectures heavily depend on wireless resource-constrained nodes that collect and transmit a plethora of information. The broadband wireless medium enables malicious nodes to perform a number of attacks. Cryptographic means along with trust-based schemes are often deployed to combat these attacks. We propose a centralised trust-based scheme where all nodes monitor their neighbors, and report their findings to a fusion center. Each report is followed by a reliability measure, computed using the Signal-to-Interference-plus-Noise-Ratio. Fusion is performed employing a belief distribution with reliability method. We consider malicious nodes that periodically drop packets based on some probability. The evaluation results show that the proposed scheme can accurately detect the malicious behavior.","PeriodicalId":373932,"journal":{"name":"2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A trust-based scheme employing evidence reasoning for IoT architectures\",\"authors\":\"Alexandros G. Fragkiadakis, E. Tragos\",\"doi\":\"10.1109/WF-IoT.2016.7845509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"IoT architectures heavily depend on wireless resource-constrained nodes that collect and transmit a plethora of information. The broadband wireless medium enables malicious nodes to perform a number of attacks. Cryptographic means along with trust-based schemes are often deployed to combat these attacks. We propose a centralised trust-based scheme where all nodes monitor their neighbors, and report their findings to a fusion center. Each report is followed by a reliability measure, computed using the Signal-to-Interference-plus-Noise-Ratio. Fusion is performed employing a belief distribution with reliability method. We consider malicious nodes that periodically drop packets based on some probability. The evaluation results show that the proposed scheme can accurately detect the malicious behavior.\",\"PeriodicalId\":373932,\"journal\":{\"name\":\"2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WF-IoT.2016.7845509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WF-IoT.2016.7845509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

物联网架构严重依赖于无线资源受限的节点,这些节点收集和传输大量信息。宽带无线介质使恶意节点能够执行多种攻击。通常部署加密手段以及基于信任的方案来对抗这些攻击。我们提出了一个中心化的基于信任的方案,所有节点监控它们的邻居,并将它们的发现报告给融合中心。每个报告之后都有一个可靠性度量,使用信噪比计算。采用信度分布方法进行融合。我们考虑基于一定概率周期性丢弃数据包的恶意节点。评估结果表明,该方案能够准确检测出恶意行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A trust-based scheme employing evidence reasoning for IoT architectures
IoT architectures heavily depend on wireless resource-constrained nodes that collect and transmit a plethora of information. The broadband wireless medium enables malicious nodes to perform a number of attacks. Cryptographic means along with trust-based schemes are often deployed to combat these attacks. We propose a centralised trust-based scheme where all nodes monitor their neighbors, and report their findings to a fusion center. Each report is followed by a reliability measure, computed using the Signal-to-Interference-plus-Noise-Ratio. Fusion is performed employing a belief distribution with reliability method. We consider malicious nodes that periodically drop packets based on some probability. The evaluation results show that the proposed scheme can accurately detect the malicious behavior.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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