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
  • [31] An autonomous lightweight conditional privacy-preserving authentication scheme with provable security for vehicular ad-hoc networks
    Ogundoyin S.O.
    International Journal of Computers and Applications, 2020, 42 (02): : 196 - 211
  • [32] Secure Compression of Privacy-Preserving Witnesses in Vehicular Ad Hoc Networks
    Qin, Bo
    Wu, Qianhong
    Zhang, Lei
    Domingo-Ferrer, Josep
    2010 IEEE 6TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2010, : 541 - 547
  • [33] APPA: Aggregate Privacy-Preserving Authentication in Vehicular Ad Hoc Networks
    Zhang, Lei
    Wu, Qianhong
    Qin, Bo
    Domingo-Ferrer, Josep
    INFORMATION SECURITY, 2011, 7001 : 293 - +
  • [34] Privacy-preserving detection of Sybil attacks in vehicular ad hoc networks
    Zhou, Tong
    Choudhury, Romit Roy
    Ning, Peng
    Chakrabarty, Krishnendu
    2007 FOURTH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: NETWORKING & SERVICES, 2007, : 195 - +
  • [35] Quantum privacy-preserving service for secure lane change in vehicular networks
    Rahmani, Zeinab
    Barbosa, Luis S.
    Pinto, Armando N.
    IET QUANTUM COMMUNICATION, 2023, 4 (03): : 103 - 111
  • [36] PPC: Privacy-preserving Chatting in Vehicular Peer-to-peer Networks
    Liang, Xiaohui
    Lu, Rongxing
    Lin, Xiaodong
    Shen, Xuemin
    2010 IEEE 72ND VEHICULAR TECHNOLOGY CONFERENCE FALL, 2010,
  • [37] Dual-Server-Based Lightweight Privacy-Preserving Federated Learning
    Zhong, Liangyu
    Wang, Lulu
    Zhang, Lei
    Domingo-Ferrer, Josep
    Xu, Lin
    Wu, Changti
    Zhang, Rui
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (04): : 4787 - 4800
  • [38] Privacy-preserving authentication based on short group signature in vehicular networks
    Jinghang Zhang
    Lizhen Ma
    Wanli Su
    Yumin Wang
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON DATA, PRIVACY, AND E-COMMERCE, 2007, : 138 - +
  • [39] Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions
    Wang, Xiaojie
    Ning, Zhaolong
    Zhou, MengChu
    Hu, Xiping
    Wang, Lei
    Zhang, Yan
    Yu, Fei Richard
    Hu, Bin
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (02): : 1314 - 1345
  • [40] Lightweight privacy-Preserving data classification
    Ngoc Hong Tran
    Le-Khac, Nhien-An
    Kechadi, M-Tahar
    COMPUTERS & SECURITY, 2020, 97