针对拜占庭攻击的协同频谱感知顺序单投票

Jun Wu, Zehao Chen, Haoyu Liang, Zehao Chen, Jia Zhang, Jipeng Gan, Jian-Duo He
{"title":"针对拜占庭攻击的协同频谱感知顺序单投票","authors":"Jun Wu, Zehao Chen, Haoyu Liang, Zehao Chen, Jia Zhang, Jipeng Gan, Jian-Duo He","doi":"10.1145/3585967.3585968","DOIUrl":null,"url":null,"abstract":"Cooperative spectrum sensing (CSS) has been a crucial function of cognitive radio (CR) technology to identify the unused spectrum for growing wireless devices and applications. Nevertheless, the openness of CSS paradigm results in that the CR network suffers from Byzantine attack, thereby significantly degrading the CSS performance. To mitigate the adverse effect of Byzantine attack, we conduct out a Byzantine attack model from malicious perspective. Considering that Byzantine attack can make the fusion center (FC) blind, we propose a sequential single voting (SSV) rule to implement the sensing information fusion for CSS. To this aim, a trust value (Trv) mechanism based on interactive evaluation is formulated to measure the reliability of sensing information from secondary users (SUs). Moreover, a pair of tolerance threshold is also taken into account to suppress Byzantine attack, with aiming to make selectively use of sensing information from malicious users (MUs). Meanwhile, we are motivated by the single sign and sequential idea to further enhance the CSS efficiency. In contrast to the existing voting rules, simulation results show that the proposed SSV requires less fewer samples to provide with a better accuracy, especially in the presence of Byzantine attack.","PeriodicalId":275067,"journal":{"name":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sequential Single Voting for Cooperative Spectrum Sensing Against Byzantine Attack\",\"authors\":\"Jun Wu, Zehao Chen, Haoyu Liang, Zehao Chen, Jia Zhang, Jipeng Gan, Jian-Duo He\",\"doi\":\"10.1145/3585967.3585968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cooperative spectrum sensing (CSS) has been a crucial function of cognitive radio (CR) technology to identify the unused spectrum for growing wireless devices and applications. Nevertheless, the openness of CSS paradigm results in that the CR network suffers from Byzantine attack, thereby significantly degrading the CSS performance. To mitigate the adverse effect of Byzantine attack, we conduct out a Byzantine attack model from malicious perspective. Considering that Byzantine attack can make the fusion center (FC) blind, we propose a sequential single voting (SSV) rule to implement the sensing information fusion for CSS. To this aim, a trust value (Trv) mechanism based on interactive evaluation is formulated to measure the reliability of sensing information from secondary users (SUs). Moreover, a pair of tolerance threshold is also taken into account to suppress Byzantine attack, with aiming to make selectively use of sensing information from malicious users (MUs). Meanwhile, we are motivated by the single sign and sequential idea to further enhance the CSS efficiency. In contrast to the existing voting rules, simulation results show that the proposed SSV requires less fewer samples to provide with a better accuracy, especially in the presence of Byzantine attack.\",\"PeriodicalId\":275067,\"journal\":{\"name\":\"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3585967.3585968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3585967.3585968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

协同频谱感知(CSS)是认知无线电(CR)技术的一个重要功能,它可以为不断增长的无线设备和应用识别未使用的频谱。然而,CSS范式的开放性导致CR网络遭受拜占庭式攻击,从而大大降低了CSS的性能。为了减轻拜占庭攻击的不利影响,我们从恶意的角度进行了拜占庭攻击模型。考虑到拜占庭攻击会导致融合中心(FC)失明,提出了一种顺序单投票(SSV)规则来实现CSS的感知信息融合。为此,提出了一种基于交互评价的信任值(Trv)机制,用于度量二级用户感知信息的可靠性。此外,还考虑了一对容忍阈值来抑制拜占庭攻击,目的是有选择地利用来自恶意用户(MUs)的感知信息。同时,我们受到单符号和顺序思想的激励,进一步提高CSS的效率。与现有的投票规则相比,仿真结果表明,所提出的SSV需要更少的样本来提供更好的准确性,特别是在存在拜占庭攻击的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Sequential Single Voting for Cooperative Spectrum Sensing Against Byzantine Attack
Cooperative spectrum sensing (CSS) has been a crucial function of cognitive radio (CR) technology to identify the unused spectrum for growing wireless devices and applications. Nevertheless, the openness of CSS paradigm results in that the CR network suffers from Byzantine attack, thereby significantly degrading the CSS performance. To mitigate the adverse effect of Byzantine attack, we conduct out a Byzantine attack model from malicious perspective. Considering that Byzantine attack can make the fusion center (FC) blind, we propose a sequential single voting (SSV) rule to implement the sensing information fusion for CSS. To this aim, a trust value (Trv) mechanism based on interactive evaluation is formulated to measure the reliability of sensing information from secondary users (SUs). Moreover, a pair of tolerance threshold is also taken into account to suppress Byzantine attack, with aiming to make selectively use of sensing information from malicious users (MUs). Meanwhile, we are motivated by the single sign and sequential idea to further enhance the CSS efficiency. In contrast to the existing voting rules, simulation results show that the proposed SSV requires less fewer samples to provide with a better accuracy, especially in the presence of Byzantine attack.
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
期刊最新文献
Design of border security system based on ultrasonic technology and video linkage A research of convolutional neural network model deployment in low- to medium-performance microcontrollers An SISO-OTFS Channel Parameter Learning Scheme in Time-Frequency Domain Research on Sampling Estimation Method for Complex Networks-Oriented Network Autonomous Learning Monitoring System Based on SVM Algorithm
×
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