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Providing k-anonymity and revocation in ubiquitous VANETs

机译:在无处不在的VaNET中提供k-匿名和撤销

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摘要

Abstract Vehicular ad hoc networks (VANETs) is considered a milestone in improving the safety and efficiency in transportation. Nevertheless, when information from the vehicular communications is combined with data from the cloud, it also introduces some privacy risks by making it easier to track the physical location of vehicles. For this reason, to guarantee the proper performance of a \{VANET\} it is essential to protect the service against malicious users aiming at disrupting the proper operation of the network. Current researches usually define a traditional identity-based authentication for nodes, which are loaded with individual credentials. However, the use of these credentials in VANETs without any security mechanism enables vehicle tracking and therefore, violate users’ privacy, a risk that may be overcome by means of appropriate anonymity schemes. This comes at the cost, however, of on the one hand preventing VANET centralized authorities from identifying malicious users and revoking them from the network, or on the other hand to avoid complete anonymity of nodes in front of the CA thus to allow their revocation. In this paper, a novel revocation scheme that is able to track and revoke specific malicious users only after a number of complaints have been received while otherwise guaranteeing node’s k-anonymity is described. The proper performance of these mechanisms has been widely evaluated with NS-2 simulator and an analytical model validated with scripts. The results show that presented work is a promising approach in order to increase privacy protection while allowing revocation with little extra costs.
机译:摘要车载自组织网络(VANET)被认为是提高运输安全性和效率的里程碑。然而,当来自车辆通信的信息与来自云的数据相结合时,它还通过使跟踪车辆的实际位置变得更加容易而引入了一些隐私风险。因此,为了保证\ {VANET \}的正常性能,必须保护服务免受旨在破坏网络正常运行的恶意用户的侵害。当前的研究通常为节点定义传统的基于身份的身份验证,这些节点装有单独的凭据。但是,在没有任何安全机制的VANET中使用这些凭据可以进行车辆跟踪,因此侵犯了用户的隐私,而这种风险可以通过适当的匿名方案来克服。但是,这样做的代价是,一方面要阻止VANET集中授权机构识别恶意用户并将其从网络上吊销,另一方面要避免CA前面的节点完全匿名,从而允许其撤销。本文介绍了一种新颖的吊销方案,该方案仅在收到大量投诉后才能跟踪和吊销特定的恶意用户,否则将保证节点的k-匿名性。这些机制的正确性能已通过NS-2模拟器和经过脚本验证的分析模型进行了广泛评估。结果表明,提出的工作是一种有前途的方法,可以增加隐私保护,同时允许以很少的额外费用撤销。

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