An improved approach to privacy data protection in the body area network

Weixing Wang, Liuqin Ye
{"title":"An improved approach to privacy data protection in the body area network","authors":"Weixing Wang, Liuqin Ye","doi":"10.1117/12.2674623","DOIUrl":null,"url":null,"abstract":"Wireless Body Area Network (WBAN) is radio frequency-based wireless network technology. It is currently widely used in sports, medical health and other fields. WBAN often transmits the user's body monitoring data, such as heart rate, pulse, blood pressure and other personal privacy data. These sensitive data are bound to face a serious risk of data leakage or malicious tampering. In order to solve the privacy security of user data in WBAN environment, this paper proposes an improved privacy protection strategy. This strategy selects a portion of the region so that the phantom nodes are evenly distributed around the source nodes, and the adjacent packet space has a certain angle, in addition to increasing the diversity of the path from the source node to the base station by selecting the peer node. The simulation results show that the strategy can provide better privacy data protection without adding too many child nodes, and extend the security time.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2674623","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

Wireless Body Area Network (WBAN) is radio frequency-based wireless network technology. It is currently widely used in sports, medical health and other fields. WBAN often transmits the user's body monitoring data, such as heart rate, pulse, blood pressure and other personal privacy data. These sensitive data are bound to face a serious risk of data leakage or malicious tampering. In order to solve the privacy security of user data in WBAN environment, this paper proposes an improved privacy protection strategy. This strategy selects a portion of the region so that the phantom nodes are evenly distributed around the source nodes, and the adjacent packet space has a certain angle, in addition to increasing the diversity of the path from the source node to the base station by selecting the peer node. The simulation results show that the strategy can provide better privacy data protection without adding too many child nodes, and extend the security time.
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
一种改进的体域网络隐私数据保护方法
无线体域网络(WBAN)是基于射频的无线网络技术。目前广泛应用于体育、医疗卫生等领域。WBAN经常传输用户的身体监测数据,如心率、脉搏、血压等个人隐私数据。这些敏感数据势必面临严重的数据泄露或恶意篡改的风险。为了解决WBAN环境下用户数据的隐私安全问题,本文提出了一种改进的隐私保护策略。该策略除了通过选择对等节点增加源节点到基站路径的多样性外,还选择了一部分区域,使虚节点在源节点周围均匀分布,相邻包空间具有一定角度。仿真结果表明,该策略可以在不增加过多子节点的情况下提供更好的隐私数据保护,并延长了安全时间。
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
自引率
0.00%
发文量
0
期刊最新文献
Size and defect detection of valve based on computer vision Research on quantitative evaluation method of test flight risk based on fuzzy theory Research on target grid investment optimization technology of medium- and low-voltage distribution network based on improved genetic algorithm Research on the analysis method of civil aircraft operational safety data Research on plum target detection based on improved YOLOv3 and jetson nano
×
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