意图推理宽松安全频谱感知显著状态验证

N. Shribala, P. Srihari, B. C. Jinaga
{"title":"意图推理宽松安全频谱感知显著状态验证","authors":"N. Shribala, P. Srihari, B. C. Jinaga","doi":"10.1109/IIC.2015.7150996","DOIUrl":null,"url":null,"abstract":"Spectrum sensing is the process of identifying idle spectrums and utilizing them by the secondary users such that there is no inference with primary users. Cognitive Radio Network's (CRN) primary challenge is sensing of idle spectrum and efficiently handling that spectrum by the secondary user nodes. The effective and efficient spectrum sensing can achieve by enabling cooperation between nodes to share the information about spectrum state in cognitive radio networks. But there is a possibility of Spectrum Sensing Data Falsification (SSDF) attacks by malicious or selfish CRN nodes. This paper discusses the technique to assess the credibility of the neighbor nodes towards spectrum state verification process. The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) that devised in this paper aimed to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks. The simulations build on custom testbed with usual network conditions and SSDF attacks indicating that the devised model is greatly brought down the error rate of spectrum decision and at the same time improved the detection rate of malicious cognitive nodes.","PeriodicalId":155838,"journal":{"name":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intended inference lenient Secure Spectrum Sensing by prominence state verification\",\"authors\":\"N. Shribala, P. Srihari, B. C. Jinaga\",\"doi\":\"10.1109/IIC.2015.7150996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum sensing is the process of identifying idle spectrums and utilizing them by the secondary users such that there is no inference with primary users. Cognitive Radio Network's (CRN) primary challenge is sensing of idle spectrum and efficiently handling that spectrum by the secondary user nodes. The effective and efficient spectrum sensing can achieve by enabling cooperation between nodes to share the information about spectrum state in cognitive radio networks. But there is a possibility of Spectrum Sensing Data Falsification (SSDF) attacks by malicious or selfish CRN nodes. This paper discusses the technique to assess the credibility of the neighbor nodes towards spectrum state verification process. The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) that devised in this paper aimed to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks. The simulations build on custom testbed with usual network conditions and SSDF attacks indicating that the devised model is greatly brought down the error rate of spectrum decision and at the same time improved the detection rate of malicious cognitive nodes.\",\"PeriodicalId\":155838,\"journal\":{\"name\":\"2015 International Conference on Industrial Instrumentation and Control (ICIC)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Industrial Instrumentation and Control (ICIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIC.2015.7150996\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Instrumentation and Control (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIC.2015.7150996","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

频谱感知是识别空闲频谱并由辅助用户利用的过程,这样就不会与主用户产生干扰。认知无线网络(CRN)面临的主要挑战是感知空闲频谱,并由辅助用户节点有效地处理这些频谱。在认知无线电网络中,通过节点间的协作,共享频谱状态信息,可以实现有效、高效的频谱感知。但是存在被恶意或自私的CRN节点攻击的可能性。本文讨论了频谱状态验证过程中邻居节点可信度评估技术。本文提出了一种基于显著状态验证的预期推理宽松安全频谱感知(PSV)方法,旨在防止认知无线电网络中自私或恶意邻居节点的预期数据篡改。在常规网络条件和SSDF攻击的定制测试平台上进行仿真,结果表明所设计的模型大大降低了频谱决策的错误率,同时提高了恶意认知节点的检出率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intended inference lenient Secure Spectrum Sensing by prominence state verification
Spectrum sensing is the process of identifying idle spectrums and utilizing them by the secondary users such that there is no inference with primary users. Cognitive Radio Network's (CRN) primary challenge is sensing of idle spectrum and efficiently handling that spectrum by the secondary user nodes. The effective and efficient spectrum sensing can achieve by enabling cooperation between nodes to share the information about spectrum state in cognitive radio networks. But there is a possibility of Spectrum Sensing Data Falsification (SSDF) attacks by malicious or selfish CRN nodes. This paper discusses the technique to assess the credibility of the neighbor nodes towards spectrum state verification process. The method referred as Intended Inference Lenient Secure Spectrum Sensing By prominence state verification (PSV) that devised in this paper aimed to prevent the intended data falsification by selfish or malicious neighbor nodes in cognitive radio networks. The simulations build on custom testbed with usual network conditions and SSDF attacks indicating that the devised model is greatly brought down the error rate of spectrum decision and at the same time improved the detection rate of malicious cognitive nodes.
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