LPE-RCM: Lightweight Privacy-Preserving Edge-Based Road Condition Monitoring for VANETs

被引:2
|
作者
Xu, Yan [1 ,2 ,3 ]
Wang, Meng [1 ,2 ]
Cui, Jie [1 ,2 ]
Zhang, Jing [1 ,2 ]
Zhong, Hong [1 ,2 ]
机构
[1] Anhui Univ, Sch Comp Sci & Technol, Hefei, Peoples R China
[2] Anhui Engn Lab IoT Secur Technol, Hefei, Anhui, Peoples R China
[3] Xian Univ Posts & Telecommun, Shaanxi Key Lab Informat Commun Network & Secur, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
VANETs; Privacy preserving; Authentication; Road condition monitoring; SECURE;
D O I
10.1007/978-3-030-59019-2_9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Road conditions are the main factor affecting traffic safety, so it is necessary to monitor road conditions. In vehicular ad-hoc networks (VANETs), the trusted authority (TA) is allowed to monitor road conditions with the help of the vehicle on the road. However, the TA may receive too much road condition information since the same road condition has not been filtered out. In this paper, we propose a lightweight privacy-preserving edge-based road condition monitoring (LPE-RCM) scheme. To reduce the burden of the TA, we use edge nodes to filter out redundant road conditions. Besides, to encourage the vehicle to report road conditions actively, we adopt a privacy-aware reputation mechanism. Finally, the security proof and analysis show that LPE-RCM satisfies the security requirements of VANETs. The experimental results show that LPE-RCM is acceptable.
引用
收藏
页码:78 / 86
页数:9
相关论文
共 50 条
  • [1] LPPA-RCM: A lightweight privacy-preserving authentication scheme for road condition monitoring in fog-based VANETs
    Xu, Yan
    Yao, Chongyue
    Cui, Jie
    Zhong, Hong
    JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 143
  • [2] Privacy-Preserving Cloud-Based Road Condition Monitoring With Source Authentication in VANETs
    Wang, Yujue
    Ding, Yong
    Wu, Qianhong
    Wei, Yongzhuang
    Qin, Bo
    Wang, Huiyong
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019, 14 (07) : 1779 - 1790
  • [3] A Blockchain-Assisted Road Condition Monitoring Scheme With Privacy-Preserving for VANETs
    Da, Lemei
    Hu, Wei
    Wang, Yujue
    Ding, Yong
    Li, Beibei
    Zhu, Dan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (12) : 19625 - 19640
  • [4] A Lightweight Privacy-Preserving Authentication Protocol for VANETs
    Li, Xiong
    Liu, Tian
    Obaidat, Mohammad S.
    Wu, Fan
    Vijayakumar, Pandi
    Kumar, Neeraj
    IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 3547 - 3557
  • [5] Lightweight edge-based kNN privacy-preserving classification scheme in cloud computing circumstance
    Tan, Yejin
    Wu, Wei
    Liu, Jian
    Wang, Huimei
    Xian, Ming
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (19):
  • [6] Acies: A Privacy-Preserving System for Edge-based Classification
    Xue, Wanli
    Shen, Yiran
    Luo, Chengwen
    Hu, Wen
    Seneviratne, Aruna
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE), 2018, : 914 - 919
  • [7] Privacy-preserving dual interactive wasserstein generative adversarial network for cloud-based road condition monitoring in VANETs
    Narayanan, K. Lakshmi
    Naresh, R.
    Applied Soft Computing, 2024, 154
  • [8] Privacy-preserving dual interactive wasserstein generative adversarial network for cloud-based road condition monitoring in VANETs
    Narayanan, K. Lakshmi
    Naresh, R.
    APPLIED SOFT COMPUTING, 2024, 154
  • [9] A Lightweight Privacy-preserving Path Selection Scheme in VANETs
    Wang, Guojun
    Yang, Huijie
    JOURNAL OF INTERNET TECHNOLOGY, 2023, 24 (04): : 861 - 870
  • [10] A Secure, Privacy-Preserving, and Lightweight Authentication Scheme for VANETs
    Nandy, Tarak
    Idris, Mohd Yamani Idna
    Noor, Rafidah Md
    Wahab, Ainuddin Wahid Abdul
    Bhattacharyya, Sananda
    Kolandaisamy, Raenu
    Yahuza, Muktar
    IEEE SENSORS JOURNAL, 2021, 21 (18) : 20998 - 21011