A provably secure and lightweight mutual authentication protocol in fog-enabled social Internet of vehicles

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Z. Li, Qingkai Miao, Shehzad Ashraf Chaudhry, Chien-Ming Chen
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引用次数: 8

Abstract

The Internet of vehicles technology has developed rapidly in recent years and has become increasingly important. The social Internet of vehicles provides better resources and services for the development of the Internet of vehicles and provides better experience for users. However, there are still many security problems in social vehicle networking environments. Once the vehicle is networked, the biggest problem is data security according to the three levels of data collection, intelligent analysis, and decision control of the Internet of vehicles. Recently, Wu et al. proposed a lightweight vehicle social network security authentication protocol based on fog nodes. They claimed that their security authentication protocol could resist various attacks. However, we found that their authentication protocols are vulnerable to internal attacks, smart card theft attacks, and lack perfect forward security. In this study, we propose a new protocol to overcome these limitations. Finally, security and performance analyses show that our protocol perfectly overcomes these limitations and exhibits excellent performance and efficiency.
在支持雾的社交车联网中,一种可证明安全且轻量级的相互认证协议
近年来,车联网技术发展迅速,其重要性日益凸显。社交车联网为车联网的发展提供了更好的资源和服务,为用户提供了更好的体验。然而,在社交车联网环境中,仍然存在许多安全问题。一旦车辆联网,从车联网的数据采集、智能分析、决策控制三个层面来看,最大的问题就是数据安全。最近,Wu等人提出了一种基于雾节点的轻型车辆社交网络安全认证协议。他们声称他们的安全认证协议可以抵御各种攻击。然而,我们发现他们的认证协议容易受到内部攻击,智能卡盗窃攻击,并且缺乏完善的前向安全性。在这项研究中,我们提出了一种新的协议来克服这些限制。最后,安全性和性能分析表明,我们的协议完全克服了这些限制,表现出优异的性能和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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