VFC中Sybil攻击检测机制综述

Haonan Yang, Yongchao Zhong, Bo Yang, Yiyu Yang, Zifeng Xu, Longjuan Wang, Yuqing Zhang
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引用次数: 6

摘要

由于车辆自组织网络(vanet)需要与云服务器进行频繁的交互,因此提出了车辆雾计算(VFC)来解决延迟敏感型车辆网络环境中车辆自组织网络(vanet)的安全性和响应时间问题。然而,VFC中的匿名保护机制可能导致攻击者通过编造或创建多个假名,在网络中传播虚假信息,从而发动Sybil攻击,对车辆驾驶构成严重的安全威胁。因此,本文首次总结了VFC中不同类型的Sybil攻击检测机制,并对这些方案进行了全面的比较。此外,我们还总结了不同类型的Sybil攻击对VFC可能产生的影响。最后,总结了VFC中Sybil攻击检测机制面临的挑战和未来研究的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Sybil Attack Detection Mechanisms in VFC
Vehicular Fog Computing (VFC) has been proposed to address the security and response time issues of Vehicular Ad Hoc Networks (VANETs) in latency-sensitive vehicular network environments, due to the frequent interactions that VANETs need to have with cloud servers. However, the anonymity protection mechanism in VFC may cause the attacker to launch Sybil attacks by fabricating or creating multiple pseudonyms to spread false information in the network, which poses a severe security threat to the vehicle driving. Therefore, in this paper, we summarize different types of Sybil attack detection mechanisms in VFC for the first time, and provide a comprehensive comparison of these schemes. In addition, we also summarize the possible impacts of different types of Sybil attacks on VFC. Finally, we summarize challenges and prospects of future research on Sybil attack detection mechanisms in VFC.
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