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

被引:2
作者
Liu, Xuejiao [1 ]
Wang, Chuanhua [1 ]
Chen, Wei [1 ]
Xia, Yingjie [2 ,3 ]
Zhu, Gaoxiang [1 ]
机构
[1] Hangzhou Normal Univ, Sch Informat Sci & Technol, Hangzhou, Peoples R China
[2] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou, Peoples R China
[3] Hangzhou Yuantiao Technol Co, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
VANETs; Key-policy Attribute-based Encryption; Cooperative Downloading; Adaptive Data Allocation; Privacy Preservation; DISSEMINATION; VEHICLES; PROTOCOL; TRUST;
D O I
10.1007/s12083-021-01251-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:340 / 354
页数:15
相关论文
共 44 条
[1]   Security in Internet of Things: issues, challenges, taxonomy, and architecture [J].
Adat, Vipindev ;
Gupta, B. B. .
TELECOMMUNICATION SYSTEMS, 2018, 67 (03) :423-441
[2]   Cooperative Vehicular Networking: A Survey [J].
Ahmed, Ejaz ;
Gharavi, Hamid .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (03) :996-1014
[3]   Architecture of Fog-Enabled and Cloud-Enhanced Internet of Things Applications [J].
Ahuja, Sanjay P. ;
Wheeler, Nathan .
INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING, 2020, 10 (01) :1-10
[4]   Efficient data dissemination in cooperative multi-RSU Vehicular Ad Hoc Networks (VANETs) [J].
Alia, G. G. Md. Nawaz ;
Chong, Peter Han Joo ;
Samantha, Syeda Khairunnesa ;
Chan, Edward .
JOURNAL OF SYSTEMS AND SOFTWARE, 2016, 117 :508-527
[5]  
Bautista PB, 2020, PROCEEDINGS OF THE 23RD INTERNATIONAL ACM CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS, MSWIM 2020, P27, DOI 10.1145/3416010.3423233
[6]   SDN-based real-time urban traffic analysis in VANET environment [J].
Bhatia, Jitendra ;
Dave, Ridham ;
Bhayani, Heta ;
Tanwar, Sudeep ;
Nayyar, Anand .
COMPUTER COMMUNICATIONS, 2020, 149 :162-175
[7]  
Bouabdellah M, 2016, 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION SYSTEMS AND INFORMATION SECURITY (ACOSIS), P175
[8]   A robust distance-based relay selection for message dissemination in vehicular network [J].
Cao, Dun ;
Zheng, Bin ;
Ji, Baofeng ;
Lei, Zhengbao ;
Feng, Chunhai .
WIRELESS NETWORKS, 2020, 26 (03) :1755-1771
[9]   On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards [J].
Chen, Pengyu .
ENTROPY, 2019, 21 (03)
[10]   SPACF: A Secure Privacy-Preserving Authentication Scheme for VANET With Cuckoo Filter [J].
Cui, Jie ;
Zhang, Jing ;
Zhong, Hong ;
Xu, Yan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (11) :10283-10295