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A general location-authentication based secure participant recruitment scheme for vehicular crowdsensing

机译:基于通用位置认证的车辆人群感知安全参与者招募方案

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摘要

Vehicular crowdsensing is an emerging paradigm where vehicles perform the sensing task published by the requester so as to earn either monetary or non-monetary incentives. During this process, sensitive information of vehicles (location, identity et al.) are easy to leak. Unfortunately, previous works pay little attention on the privacy-preserving in the participants recruitment process. In this paper, we propose a location authentication based secure participant recruitment (LA-SPR) scheme for vehicular crowdsensing that enables each vehicle to perform (1) location authentication and key transmission simultaneously without any pre-shared secret, and (2) participant recruitment process without revealing the actual location and sensitive information to server or the requester. It's worth mentioning that, our scheme uses a spatial-temporal location tag and fuzzy extractor to realize location authentication and key transmission simultaneously within a round of communication between vehicles and server. We exploit Trust Authority (TA) to collect credible anchor's location tag and vehicle candidates. We regard the sensing score, which is uploaded to the server by each vehicle, as a secret and encrypted with RSA to prevent information leakage. We obtain comprehensive results demonstrating the feasibility, security, and efficiency of our scheme by theoretical analysis and performance evaluation.
机译:车辆大众感知是一种新兴的范例,其中车辆执行请求者发布的感知任务,从而获得金钱或非金钱激励。在此过程中,车辆的敏感信息(位置,身份等)很容易泄漏。不幸的是,以前的工作很少关注参与者征聘过程中的隐私保护。在本文中,我们提出了一种基于位置验证的车辆参与者感知安全参与者招募(LA-SPR)方案,该方案可使每辆车同时执行(1)位置验证和密钥传输,而无需任何预共享的秘密,以及(2)参与者招募不会向服务器或请求者透露实际位置和敏感信息。值得一提的是,我们的方案使用时空位置标签和模糊提取器在车辆和服务器之间的一轮通信中同时实现位置认证和密钥传输。我们利用信托管理机构(TA)收集可靠的锚点的位置标签和车辆候选物。我们将每辆车上传到服务器的感知分数视为秘密,并用RSA加密以防止信息泄漏。通过理论分析和性能评估,我们获得了综合结果,证明了该方案的可行性,安全性和效率。

著录项

  • 来源
    《Computer networks》 |2020年第22期|107152.1-107152.11|共11页
  • 作者

  • 作者单位

    Wuhan Univ Sch Comp Sci Wuhan Peoples R China|Collaborat Innovat Ctr Geospatial Technol Wuhan Peoples R China;

    Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China|Northeastern State Univ Dept Math & Comp Sci Tahlequah OK USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicular crowdsensing; Location authentication; Privacy protection; Participant recruitment;

    机译:车辆大众感知;位置认证;隐私保护;参加者招募;

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