Sybil攻击对车载雾网络的影响

Sarra Benadla, Omar Rafik Merad-Boudia
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引用次数: 2

摘要

车联网(IoV)是将车辆视为智能机器的网络。它们相互作用和沟通,以提高交通的性能和安全性。车联网解决了某些问题,但也存在响应时间等问题,这促使研究人员提出将雾计算集成到车联网中。在车载雾计算(VFC)中,服务在网络边缘提供,以提高数据速率和缩短响应时间。但是,为了满足网络用户的需求,需要保证敏感数据的安全性和隐私性。使用假名而不是真实身份是保护用户隐私的技术之一,然而,这可能会促使恶意车辆利用这一过程,并通过创建多个假名来发起Sybil攻击,以执行各种恶意活动。在本文中,我们描述了Sybil攻击对VFC网络的影响,并将其与传统网络中的攻击进行了比较,并识别了现有的各种检测这种攻击的方法,并确定它们是否适用于VFC网络。
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The Impact of Sybil Attacks on Vehicular Fog Networks
The Internet of Vehicles (IoV) is a network that considers vehicles as intelligent machines. They interact and communicate with each other to improve the performance and safety of traffic. IoV solves certain problems, but it has some issues such as response time, which prompted researchers to propose the integration of Fog Computing into vehicular networks. In Vehicular Fog Computing (VFC), the services are provided at the edge of the network to increase data rate and reduce response time. However, in order to satisfy network users, the security and privacy of sensitive data should be guaranteed. Using pseudonyms instead of real identities is one of the techniques considered to preserve the privacy of users, however, this can push malicious vehicles to exploit such a process and launch the Sybil attack by creating several pseudonyms in order to perform various malicious activities. In this paper, we describe the Sybil attack effects on VFC networks and compare them to those in conventional networks, as well as identify the various existing methods for detecting this attack and determine if they are applicable to VFC networks.
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