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Efficient LBS queries with mutual privacy preservation in IoV

机译:高效的LBS查询以及IoV中的相互隐私保护

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摘要

Public awareness on privacy stimulates many researches about privacy-preserving location based services (LBS) in terms of providing mutual privacy to both LBS and its users. However, the high latency of privacy preservation in LBS becomes a main obstacle for applying LBS to Internet of Vehicles (IoV). To solve this problem, we propose two privacy-preserving LBS query schemes (kNN and T-kNN) by taking the advance of fog computing and by applying oblivious transfer (OT) and ciphertext-policy attribute based encryption (CP-ABE). Given a query from a vehicle, both schemes return k nearest POIs as response, with the difference that T-kNN supports fine-grained type based POI queries. Based on our proposed oblivious key transfer and privacy-preserving secret key generation, both schemes preserve mutual privacy of both LBS provider and vehicles. Complexity analysis and empirical study show that our approach outperforms the other two state-of-the-art works. (C) 2019 Elsevier Inc. All rights reserved.
机译:从向LBS及其用户提供相互隐私的角度而言,公众对隐私的意识激发了许多有关保留隐私的基于位置的服务(LBS)的研究。但是,LBS中隐私保护的高延迟成为将LBS应用于车联网(IoV)的主要障碍。为了解决这个问题,我们提出了两种保护隐私的LBS查询方案(kNN和T-kNN),这是利用雾计算的先进技术,并采用了遗忘传输(OT)和基于密文策略属性的加密(CP-ABE)。给定来自车辆的查询,两种方案都返回k个最近的POI作为响应,区别在于T-kNN支持基于细粒度类型的POI查询。基于我们提议的遗忘密钥传输和隐私保护秘密密钥生成,这两种方案都可以保留LBS提供者和车辆的相互隐私。复杂性分析和实证研究表明,我们的方法优于其他两个最新技术。 (C)2019 Elsevier Inc.保留所有权利。

著录项

  • 来源
    《Vehicular Communications》 |2019年第4期|62-71|共10页
  • 作者单位

    Aalto Univ, Dept Comnet, Maarintie 8, Espoo 02150, Finland;

    Soochow Univ, Sch Comp Sci & Technol, Suzhou 215006, Peoples R China;

    Aalto Univ, Dept Comnet, Maarintie 8, Espoo 02150, Finland|Xidian Univ, Sch Cyber Engn, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China;

    Xidian Univ, Sch Cyber Engn, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China;

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

    LBS; Fog computing; IoV; kNN query with type;

    机译:LBS;雾计算;IoV;kNN查询类型;

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