面向群智感知应用的基于协作的位置认证方案

田有亮; 田茂清; 高鸿峰; 何淼; 熊金波

doi:10.11959/j.issn.1000-436x.2022173

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面向群智感知应用的基于协作的位置认证方案

学术论文 | 更新时间：2024-06-05

- 面向群智感知应用的基于协作的位置认证方案
- Cooperation-based location authentication scheme for crowdsensing applications
- 通信学报 2022年43卷第9期页码：121-133
- 作者机构：
  
  1. 贵州大学公共大数据国家重点实验室，贵州贵阳 550025
  2. 贵州大学计算机科学与技术学院，贵州贵阳 550025
  3. 贵州大学密码学与数据安全研究所，贵州贵阳 550025
  4. 女王大学电子和计算机工程学院，安大略金士顿 ON K7L 3N6
  5. 福建师范大学计算机与网络空间安全学院，福建福州 350117
- 作者简介：
  
  [ "田有亮（1982– ），男，贵州六盘水人，博士，贵州大学教授、博士生导师，主要研究方向为算法博弈论、密码学与安全协议、大数据安全与隐私保护、区块链与电子货币等" ]
  [ "田茂清（1996– ），女，贵州册亨人，贵州大学硕士生，主要研究方向为位置密码学、隐私保护技术等" ]
  [ "高鸿峰（1975- ），男，贵州遵义人，贵州大学副教授、硕士生导师，主要研究方向为网络与信息安全" ]
  [ "何淼（1988- ），男，四川成都人，女王大学博士生，主要研究方向为信号处理、应用密码学和信息安全等" ]
  [ "熊金波（1981- ），男，湖南益阳人，博士，福建师范大学教授、博士生导师，主要研究方向为安全深度学习、移动群智感知、隐私保护技术等" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2021YFB3101100);国家自然科学基金资助项目(U1836205);贵州省高层次创新型人才基金资助项目([2020]6008);贵阳市科技计划基金资助项目([2021]1-5);贵阳市科技计划基金资助项目([2022]2-4);贵州省科技计划基金资助项目([2020]5017);贵州省科技计划基金资助项目([2022]065)
- DOI：10.11959/j.issn.1000-436x.2022173
  中图分类号： TP309
- 网络出版日期：2022-09，
  
  纸质出版日期：2022-09-25
- 稿件说明：
移动端阅览
田有亮, 田茂清, 高鸿峰, 等. 面向群智感知应用的基于协作的位置认证方案[J]. 通信学报, 2022,43(9):121-133.

Youliang TIAN, Maoqing TIAN, Hongfeng GAO, et al. Cooperation-based location authentication scheme for crowdsensing applications[J]. Journal on communications, 2022, 43(9): 121-133.
田有亮, 田茂清, 高鸿峰, 等. 面向群智感知应用的基于协作的位置认证方案[J]. 通信学报, 2022,43(9):121-133. DOI： 10.11959/j.issn.1000-436x.2022173.

Youliang TIAN, Maoqing TIAN, Hongfeng GAO, et al. Cooperation-based location authentication scheme for crowdsensing applications[J]. Journal on communications, 2022, 43(9): 121-133. DOI： 10.11959/j.issn.1000-436x.2022173.

摘要

群智感知利用移动设备收集与位置相关的数据，存在位置欺骗攻击的安全问题，如何保障这些敏感数据的质量成为一个挑战。针对此问题，提出了一种基于协作的位置认证方案来检测提交虚假位置的恶意用户。首先，利用携带移动设备的用户为彼此生成位置证明，利用随机数多次碰撞获取新信息的距离边界协议构造位置认证方案，保证了用户位置的不可伪造，达到提高数据质量的目的。其次，基于区域划分和信誉模型的方法选择位置证明协作者，有效防止了共谋攻击，解决了权益集中的问题。同时，基于信誉值和任务完成时效的激励机制有效提高了协作者完成任务的效率。最后，通过安全性分析和性能评估证明了所提方案的正确性和安全性，以及在计算和通信开销方面的优势。

Abstract

Utilizing mobile devices to collect location-related data in crowdsensing has the security problem of a location cheating attack.How to guarantee the quality of these sensitive data has become a challenge.In response to this

a location authentication scheme was proposed based on cooperation to detect malicious users who submit false locations.Firstly

users with mobile devices were used to generate location proofs for each other

and a location verification scheme was designed based on distance bounding protocols for obtaining new information by multiple collisions of the same random number

which ensured the user’s location should be unforgeable and achieved the purpose of improving the quality of collected data.In addition

a location proof cooperator select method based on region division and reputation model was proposed which effectively prevented collusion attack and solved the problem of concentration of equity.Meanwhile

the incentive mechanism based on reputation value and task completion time was designed to effectively improve the location proof cooperator efficiency of task completion.Finally

security analysis and performance evaluation indicate that the scheme has proved to be correctness and secure

and the advantages in computational cost and communication overhead.

关键词

Keywords

references

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