Blockchain-Based Batch Authentication Scheme for Internet of Vehicles

计算机科学 计算机网络 计算机安全 认证(法律) 互联网 身份验证协议 万维网
作者
Huimin Shen,Taochun Wang,Chen Jian,Yuan Tao,Fulong Chen
出处
期刊:IEEE Transactions on Vehicular Technology [Institute of Electrical and Electronics Engineers]
卷期号:73 (6): 7866-7879 被引量:7
标识
DOI:10.1109/tvt.2024.3355711
摘要

The proliferation of intelligent transportation technology has led to an increased frequency of communication between vehicles. However, the openness of the Internet of Vehicles and wireless communication has introduced substantial privacy and security concerns, necessitating the adoption of identity authentication technology to ensure secure vehicle-to-vehicle communication. In response to the challenges posed by single point of failure and high computational costs in traditional centralized identity authentication schemes, this study proposes a blockchain-based batch authentication scheme for the Internet of Vehicles BBASV. By leveraging a non-pairing certificateless mechanism, the BBASV scheme effectively addresses these limitations, reducing the computational complexity and network traffic in the authentication process, thereby enabling efficient batch authentication. Additionally, identity-based prefix-key encryption is utilized to preserve the privacy of vehicle identities during proxy vehicle broadcasting. Moreover, the proxy vehicle leverages signature fusion technology to perform batch authentication on neighboring vehicles, alleviating the authentication burden on roadside units. The effectiveness of the BBASV scheme is rigorously evaluated through theoretical analysis and empirical experimentation, demonstrating its resilience against various security threats, including DoS attacks, man-in-the-middle attacks, and simulated attacks. Furthermore, the scheme exhibits favorable attributes such as low computational requirements and network traffic, rendering it a promising solution for ensuring secure and privacy-preserving communication within the Internet of Vehicles domain.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
distinguish发布了新的文献求助10
刚刚
xuan发布了新的文献求助10
2秒前
爽歪歪发布了新的文献求助10
2秒前
3秒前
YYY完成签到,获得积分10
4秒前
4秒前
情怀应助三分之二采纳,获得10
5秒前
Cuchaoji完成签到,获得积分20
5秒前
Silhouettes完成签到,获得积分10
5秒前
李健应助张先生采纳,获得10
5秒前
6秒前
lala完成签到 ,获得积分10
8秒前
田様应助大猫采纳,获得10
8秒前
小严完成签到,获得积分10
8秒前
8秒前
xuan发布了新的文献求助10
8秒前
像鱼发布了新的文献求助10
9秒前
10秒前
10秒前
10秒前
神说要有光完成签到,获得积分10
10秒前
大猫完成签到,获得积分10
11秒前
张笑柔发布了新的文献求助10
12秒前
脑洞疼应助鹿芒采纳,获得10
13秒前
完美世界应助乐le采纳,获得25
13秒前
领导范儿应助福尔摩村采纳,获得10
13秒前
燕天与发布了新的文献求助10
14秒前
漂亮123发布了新的文献求助10
14秒前
14秒前
lin发布了新的文献求助10
15秒前
填海完成签到,获得积分10
15秒前
xuan发布了新的文献求助10
15秒前
17秒前
Zz完成签到 ,获得积分10
17秒前
17秒前
distinguish完成签到,获得积分10
18秒前
RO发布了新的文献求助10
18秒前
大模型应助清凉茶采纳,获得10
19秒前
20秒前
soda完成签到,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7607357
求助须知:如何正确求助?哪些是违规求助? 9183238
关于积分的说明 19669614
捐赠科研通 7181509
什么是DOI,文献DOI怎么找? 3269774
关于科研通互助平台的介绍 2433596
邀请新用户注册赠送积分活动 2264132