VANET Based Privacy-Preserving Navigation scheme with replica server

被引:3
|
作者
Shaikh, Rukaiya [1 ]
Bharadwaj, Deeksha [2 ]
机构
[1] Savitribai Phule Univ, GHRIET, Comp Engn, Pune, Maharashtra, India
[2] Savitribai Phule Univ, GHRIET, Dept Comp Engn, Pune, Maharashtra, India
来源
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年
关键词
Anonymous Credential; Elliptic Curve Cryptography; Pseudo Identity; Proxy re-encryption; Replica server; Secure Vehicular Sensor Network; Signature Verification; VANET;
D O I
10.1109/CICN.2015.231
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In VANET each vehicle is assumed to have an onboard unit (OBU) and Road-side units (RSU) which is installed along the roads. A traffic authority (TA) and possibly some other application servers are introduced in the back end. The OBUs and RSUs convey utilizing the Dedicated Short Range communications (DSRC) convention over the remote channel while the RSUs, TA, and the application servers impart utilizing a safe system, for example, Internet. In this proposed approach, we have developed a navigation System that collects the real time road information from Vehicular ad hoc network (VANET) which provide helps to the driver in order to give the information about desired destinations in a real-time and distributed manner. In this work we have used the Elliptic curve algorithm to authenticate source and also reduce the delay and network overhead. Authentication and privacy preserving are basic requirements of any VANET security system; along with these basic requirements this proposed scheme satisfy all other necessary security requirements. In this Work we have also introduced the Replica server. The entire authentication is done through main server and if main server fails due to the some reason then Replica server will take over the task.
引用
收藏
页码:1194 / 1198
页数:5
相关论文
共 50 条
  • [41] An Efficient Location Privacy-Preserving Authentication Scheme for Cooperative Spectrum Sensing
    Lai, Huibin
    Xu, Li
    Zeng, Yali
    IEEE ACCESS, 2020, 8 : 163472 - 163482
  • [42] An efficient privacy-preserving authentication scheme that mitigates TA dependency in VANETs
    Su, Huadong
    Dong, Shi
    Wang, Ning
    Zhang, Ting
    VEHICULAR COMMUNICATIONS, 2024, 45
  • [43] Privacy-Preserving Cloud Establishment and Data Dissemination Scheme for Vehicular Cloud
    Zhang, Lei
    Meng, Xinyu
    Choo, Kim-Kwang Raymond
    Zhang, Yuanfei
    Dai, Feifei
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2020, 17 (03) : 634 - 647
  • [44] ECC based secure privacy-preserving authentication scheme for wireless sensor networks in IoT environment
    Shilpi Sharma
    Bijendra Kumar
    International Journal of Information Technology, 2025, 17 (1) : 87 - 96
  • [45] A Hybrid Blockchain-Based Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks
    Su, Huadong
    Dong, Shi
    Zhang, Ting
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (11) : 17059 - 17072
  • [46] Privacy-preserving and efficient attributes proof based on selective aggregate CL-signature scheme
    Guo, Nan
    Gao, Tianhan
    Wang, Jia
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2016, 93 (02) : 273 - 288
  • [47] Privacy-Preserving Vehicular Rogue Node Detection Scheme for Fog Computing
    Al-Otaibi, Basmah
    Al-Nabhan, Najla
    Tian, Yuan
    SENSORS, 2019, 19 (04)
  • [48] Efficient End-to-End Security Scheme for Privacy-Preserving in IoT
    Harbi, Yasmine
    Refoufi, Allaoua
    Aliouat, Zibouda
    Harous, Saad
    2019 4TH INTERNATIONAL CONFERENCE ON NETWORKING AND ADVANCED SYSTEMS (ICNAS 2019), 2019, : 94 - 99
  • [49] Conditional Privacy-Preserving Authentication Scheme Without Using Point Multiplication Operations Based on Elliptic Curve Cryptography (ECC)
    Alshudukhi, Jalawi Sulaiman
    Mohammed, Badiea Abdulkarem
    Al-Mekhlafi, Zeyad Ghaleb
    IEEE ACCESS, 2020, 8 : 222032 - 222040
  • [50] Blockchain-Based Privacy Preserving Trust Management Model in VANET
    Liang, Ruochen
    Li, Bohan
    Song, Xinyang
    ADVANCED DATA MINING AND APPLICATIONS, 2020, 12447 : 465 - 479