Dual Privacy-Preserving Lightweight Navigation System for Vehicular Networks

被引:0
|
作者
Yao, Yingying [1 ,2 ]
Chang, Xiaolin [1 ,2 ]
Li, Lin [1 ]
Liu, Jiqiang [1 ]
Wang, Hong [2 ]
机构
[1] Beijing Jiaotong Univ, Beijing Key Lab Secur & Privacy Intelligent Transp, Beijing 100044, Peoples R China
[2] Henan Key Lab Network Cryptog Technol, Zhengzhou 450001, Peoples R China
关键词
Vehicular networks; navigation system; dual privacy-preserving; security; lightweight; EFFICIENT;
D O I
10.1109/ACCESS.2022.3222302
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As an indispensable part of intelligent transportation system, a traffic-sensitive navigation system can assist drivers in avoiding traffic congestion by providing navigation services. The navigation service provider (NSP) utilizes road condition information from nearby vehicles collected by roadside units (RSUs) to guide a vehicle through an optimal route provided by the navigation services. This paper mainly focuses on tackling three key issues in such navigation system. Firstly, it is essential to ensure the privacy of the vehicles' personal identifiable information (PII). Secondly, the location, start point destination and route of the vehicle should not be leaked to RSUs and also should not be linked to its PII by RSUs and NSP. Thirdly, the process of vehicles obtaining the navigation services should be lightweight. Because of such problems, this paper proposes a dual privacy-preserving lightweight navigation system for vehicular networks through designing a novel signature scheme and combining other cryptographic primitives to keep dual privacy including PII and route related information. And the correctness analysis of the proposed system, security proof of the designed signature scheme adopted in the proposed system, and privacy analysis of the system are thoroughly provided. In addition, the performance of the proposed system is evaluated and compared with the existing systems to illustrate that the proposed system is efficient.
引用
收藏
页码:121120 / 121132
页数:13
相关论文
共 50 条
  • [41] Privacy-preserving lightweight face recognition
    Li, Yuancheng
    Wang, Yimeng
    Li, Daoxing
    NEUROCOMPUTING, 2019, 363 : 212 - 222
  • [42] A Privacy-Preserving Incentive Scheme for Advertisement Dissemination in Vehicular Social Networks
    Xiao, Peipei
    Wang, Yufeng
    Jin, Qun
    Ma, Jianhua
    2016 IEEE TRUSTCOM/BIGDATASE/ISPA, 2016, : 1741 - 1746
  • [43] Privacy-preserving authentication schemes for vehicular ad hoc networks: a survey
    Lu, Huang
    Li, Jie
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2016, 16 (06): : 643 - 655
  • [44] An Efficient Privacy-Preserving Scheme for Traffic Monitoring Services in Vehicular Networks
    Gu, Chen
    Cui, Xuande
    Hu, Donghui
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2022), PT I, 2022, 13471 : 3 - 14
  • [45] BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad Hoc Networks
    Feng, Qi
    He, Debiao
    Zeadally, Sherali
    Liang, Kaitai
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (06) : 4146 - 4155
  • [46] A Privacy-Preserving Lightweight Biometric System for Internet of Things Security
    Yang, Wencheng
    Wang, Song
    Zheng, Guanglou
    Yang, Jucheng
    Valli, Craig
    IEEE COMMUNICATIONS MAGAZINE, 2019, 57 (03) : 84 - 89
  • [47] Privacy-Preserving Indoor Localisation and Navigation
    Konstantinidis, Andreas
    Chatzimilioudis, Georgios
    Zeinalipour-Yazti, Demetrios
    ERCIM NEWS, 2016, (106): : 25 - +
  • [48] Lightweight handover authentication with location privacy-preserving in mobile wireless networks
    Liu, Ling
    Quan, Hanyu
    Liu, Xuefeng
    Zhang, Yuqing
    INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS, 2015, 7 (3-4) : 280 - 288
  • [49] Noninteractive Lightweight Privacy-Preserving Auditing on Images in Mobile Crowdsourcing Networks
    Zhang, Juan
    Wan, Changsheng
    Zhang, Chunyu
    Guo, Xiaojun
    Chen, Yongyong
    SECURITY AND COMMUNICATION NETWORKS, 2020, 2020
  • [50] Secure and privacy-preserving, timed vehicular communications
    Burmester, Mike
    Magkos, Emmanouil
    Chrissikopoulos, Vassilis
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2012, 10 (04) : 219 - 229