CLIP: Continuous Location Integrity and Provenance for Mobile Phones

Chen Lyu, A. Pande, Xinlei Wang, Jindan Zhu, Dawu Gu, P. Mohapatra
{"title":"CLIP: Continuous Location Integrity and Provenance for Mobile Phones","authors":"Chen Lyu, A. Pande, Xinlei Wang, Jindan Zhu, Dawu Gu, P. Mohapatra","doi":"10.1109/MASS.2015.33","DOIUrl":null,"url":null,"abstract":"Many location-based services require a mobile user to continuously prove his location. In absence of a secure mechanism, malicious users may lie about their locations to get these services. Mobility trace, a sequence of past mobility points, provides evidence for the user's locations. In this paper, we propose a Continuous Location Integrity and Provenance (CLIP) Scheme to provide authentication for mobility trace, and protect users' privacy. CLIP uses low-power inertial accelerometer sensor with a light-weight entropy-based commitment mechanism and is able to authenticate the user's mobility trace without any cost of trusted hardware. CLIP maintains the user's privacy, allowing the user to submit a portion of his mobility trace with which the commitment can be also verified. Wireless Access Points (APs) or colocated mobile devices are used to generate the location proofs. We also propose a light-weight spatial-temporal trust model to detect fake location proofs from collusion attacks. The prototype implementation on Android demonstrates that CLIP requires low computational and storage resources. Our extensive simulations show that the spatial-temporal trust model can achieve high (> 0.9) detection accuracy against collusion attacks.","PeriodicalId":436496,"journal":{"name":"2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASS.2015.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Many location-based services require a mobile user to continuously prove his location. In absence of a secure mechanism, malicious users may lie about their locations to get these services. Mobility trace, a sequence of past mobility points, provides evidence for the user's locations. In this paper, we propose a Continuous Location Integrity and Provenance (CLIP) Scheme to provide authentication for mobility trace, and protect users' privacy. CLIP uses low-power inertial accelerometer sensor with a light-weight entropy-based commitment mechanism and is able to authenticate the user's mobility trace without any cost of trusted hardware. CLIP maintains the user's privacy, allowing the user to submit a portion of his mobility trace with which the commitment can be also verified. Wireless Access Points (APs) or colocated mobile devices are used to generate the location proofs. We also propose a light-weight spatial-temporal trust model to detect fake location proofs from collusion attacks. The prototype implementation on Android demonstrates that CLIP requires low computational and storage resources. Our extensive simulations show that the spatial-temporal trust model can achieve high (> 0.9) detection accuracy against collusion attacks.
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
CLIP:移动电话的连续位置完整性和来源
许多基于位置的服务要求移动用户不断证明自己的位置。在缺乏安全机制的情况下,恶意用户可能会谎报自己的位置以获得这些服务。移动轨迹,一系列过去的移动点,为用户的位置提供了证据。本文提出了一种连续位置完整性和来源(CLIP)方案,为移动跟踪提供认证,并保护用户隐私。CLIP采用低功耗惯性加速度传感器和轻量级的基于熵的承诺机制,能够在不需要任何可信硬件成本的情况下验证用户的移动轨迹。CLIP维护用户的隐私,允许用户提交他的移动跟踪的一部分,也可以用它来验证承诺。使用无线接入点(ap)或并置的移动设备生成位置证明。我们还提出了一个轻量级的时空信任模型来检测共谋攻击中的虚假位置证明。在Android上的原型实现表明CLIP需要较少的计算和存储资源。大量的仿真结果表明,时空信任模型对合谋攻击的检测精度较高(> 0.9)。
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
Dynamic Provisioning for High Energy Efficiency and Resource Utilization in Cloud RANs An Energy Efficient and Restricted Tour Construction for Mobile Sink in Wireless Sensor Networks MQCC: Maximum Queue Congestion Control for Multipath Networks with Blockage Context-Aware Crowd-Sensing in Opportunistic Mobile Social Networks Study of Hadoop-MapReduce on Google N-Gram Datasets
×
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