SCMP-V: A secure multiple relays cooperative downloading scheme with privacy preservation in VANETs

被引:0
作者
Xuejiao Liu
Chuanhua Wang
Wei Chen
Yingjie Xia
Gaoxiang Zhu
机构
[1] Hangzhou Normal University,School of Information Science and Technology
[2] Zhejiang University and Hangzhou Yuantiao Technology Company,College of Computer Science and Technology
来源
Peer-to-Peer Networking and Applications | 2022年 / 15卷
关键词
VANETs; Key-policy Attribute-based Encryption; Cooperative Downloading; Adaptive Data Allocation; Privacy Preservation;
D O I
暂无
中图分类号
学科分类号
摘要
In vehicular ad hoc networks (VANETs), vehicle-to-vehicle cooperative downloading schemes have been provided to solve the problem of data download in the communication blind zone. However, how to realize the secure and reliable download of data by vehicles in the blind zone while preserving user privacy is still a problem to be solved in cooperative downloading. In this paper, we propose a secure multiple relays cooperative downloading scheme with privacy preservation in VANETs (SCMP-V), which mainly composes a secure relay selection algorithm, an adaptive data allocation mechanism, and an encrypted cooperative downloading method with privacy-preserving. Specially, we propose a secure relay selection method, which allows roadside units to select multiple relay vehicles while considering the most relevant criteria. Also, we propose an adaptive data allocation mechanism that can dynamically allocate the different sizes of data to the multiple relays by estimating the dynamic communication environment. Finally, we propose an encrypted cooperative downloading method based on key-policy attribute-based encryption, which can ensure target vehicles downloading the data with privacy-preserving. Simulation results show that SCMP-V can maintain a high transmission success rate and low packet loss rate for downloading data in different environments Compared with existing schemes, SCMP-V can improve the overall efficiency of relays selection and cooperative downloading by 13% and 27%, respectively while ensuring the privacy of vehicles.
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页码:340 / 354
页数:14
相关论文
共 84 条
[1]  
Ni Y(2018)Data uploading in hybrid V2V/V2I vehicular networks: Modeling and cooperative strategy IEEE Trans Veh Technol 67 4602-4614
[2]  
He J(2021)Secure crowd-sensing protocol for fog-based vehicular cloud Futur Gener Comput Syst 120 61-75
[3]  
Cai L(2018)Cooperative vehicular networking: A survey IEEE Trans Intell Transp Syst 19 996-1014
[4]  
Bo Y(2018)Survey on cooperatively V2X downloading for intelligent transport systems IET Intell Transp Syst 13 13-21
[5]  
Nkenyereye L(2016)Efficient data dissemination in cooperative multi-RSU vehicular ad hoc networks (VANETs) J Syst Softw 117 508-527
[6]  
Islam SR(2017)SPACF: A secure privacy-preserving authentication scheme for VANET with cuckoo filter IEEE Trans Veh Technol 66 10283-10295
[7]  
Bilal M(2018)Security in Internet of Things: issues, challenges, taxonomy, and architecture Telecommun Syst 67 423-441
[8]  
Abdullah-Al-Wadud M(2017)Cryptanalysis of a novel ultra-lightweight mutual authentication protocol for IoT devices using RFID tags J Supercomput 73 1085-1102
[9]  
Alamri A(2018)UAV-assisted technique for the detection of malicious and selfish nodes in VANETs Vehicular Communications 11 1-11
[10]  
Nayyar A(2020)Architecture of fog-enabled and cloud-enhanced internet of things applications Int J Cloud Appl Comp (IJCAC) 10 1-10