Location Security under Reference Signals’ Spoofing Attacks: Threat Model and Bounds

Stefania Bartoletti, Giuseppe Bianchi, D. Orlando, Ivan Palamà, N. Blefari-Melazzi
{"title":"Location Security under Reference Signals’ Spoofing Attacks: Threat Model and Bounds","authors":"Stefania Bartoletti, Giuseppe Bianchi, D. Orlando, Ivan Palamà, N. Blefari-Melazzi","doi":"10.1145/3465481.3470098","DOIUrl":null,"url":null,"abstract":"Most localization systems rely on measurements gathered from signals emitted by stations whose position is assumed known as ground truth, namely anchors. As demonstrated by a significant bulk of experimental research, location security is threatened when an attacker becomes able to tamper either the signals emitted by the stations, or convince the user that the anchor station is in a different position than the true one. With this paper, we first propose a formal threat model which captures the above-mentioned wide class of attacks, and permits to quantitatively evaluate how tampering of one or more anchor locations undermines the user’s localization accuracy. We specifically derive a Cramér Rao Bound for the localization error, and we assess a number of example scenarios. We believe that our study may provide a useful formal benchmark for the design and analysis of detection and mitigation solutions.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465481.3470098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Most localization systems rely on measurements gathered from signals emitted by stations whose position is assumed known as ground truth, namely anchors. As demonstrated by a significant bulk of experimental research, location security is threatened when an attacker becomes able to tamper either the signals emitted by the stations, or convince the user that the anchor station is in a different position than the true one. With this paper, we first propose a formal threat model which captures the above-mentioned wide class of attacks, and permits to quantitatively evaluate how tampering of one or more anchor locations undermines the user’s localization accuracy. We specifically derive a Cramér Rao Bound for the localization error, and we assess a number of example scenarios. We believe that our study may provide a useful formal benchmark for the design and analysis of detection and mitigation solutions.
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
参考信号欺骗攻击下的位置安全:威胁模型和边界
大多数定位系统依赖于从台站发射的信号中收集的测量数据,这些台站的位置被认为是地面真实值,即锚点。正如大量实验研究表明的那样,当攻击者能够篡改电台发出的信号,或者让用户相信锚站位于与真实位置不同的位置时,位置安全就会受到威胁。在本文中,我们首先提出了一个正式的威胁模型,该模型捕获了上述广泛的攻击类别,并允许定量评估篡改一个或多个锚点位置如何破坏用户的定位准确性。我们特别推导了定位错误的cramsamr Rao Bound,并评估了许多示例场景。我们相信,我们的研究可以为检测和缓解解决方案的设计和分析提供有用的正式基准。
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
Fighting organized crime by automatically detecting money laundering-related financial transactions Template Protected Authentication based on Location History and b-Bit MinHash Structuring a Cybersecurity Curriculum for Non-IT Employees of Micro- and Small Enterprises Privacy in Times of COVID-19: A Pilot Study in the Republic of Ireland Location Security under Reference Signals’ Spoofing Attacks: Threat Model and Bounds
×
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