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MARP: A Distributed MAC Layer Attack Resistant Pseudonym Scheme for VANET

机译:Marp:Vanet的分布式MAC层攻击抗性假名方案

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Modern vehicles are equipped with wireless communication technologies, allowing them to communicate with each other and forming large self-organized ad hoc networks (or vehicular ad hoc networks (VANETs)). VANETs, while promising new approaches for improving road safety, require privacy of vehicles (or drivers) to be protected from a variety of threats. Although pseudonym schemes have provided a promising solution at the upper layers, privacy attacks could still be carried out from medium access control (MAC) layer. In this paper, we first introduce a new MAC layer context linking attack, which could link the old and new pseudonyms of a vehicle by analyzing its transmission characteristics. To deal with the attack, we propose a time division multiple access based MAC-layer-Attack-Resistant Pseudonym (MARP) scheme. Unlike traditional approaches that design the MAC protocols and pseudonym schemes separately, MARP allows vehicles to change their transmission slots and pseudonyms collaboratively. Thus, the unlinkability is guaranteed. Taking the pseudonym age, anonymity set size and time-to-confusion as the location privacy metrics, we derive an analytical model to quantify location privacy achieved in MARP. The analytical model is general to be applied for other pseudonym schemes. Extensive simulation results have validated the analytical model, showed that MARP can resist the MAC context linking attack and guarantee location privacy and efficient transmission for vehicles in VANETs.
机译:现代车辆配备了无线通信技术,使它们彼此通信并形成大型自组织ad hoc网络(或车载ad hoc网络(vanet))。 VANET,同时有希望提高道路安全的新方法,需要保护车辆(或司机)的隐私免受各种威胁的保护。虽然假名方案已经在上层提供了有希望的解决方案,但是隐私攻击仍然可以从媒体访问控制(MAC)层进行。在本文中,我们首先介绍一个新的MAC层上下文链接攻击,可以通过分析其传输特性来链接车辆的旧伪名词。要处理攻击,我们提出了一个基于时分的基于多个访问的MAC层攻击抵抗假名(Marp)方案。与单独设计MAC协议和假名方案的传统方法不同,MARP允许车辆协同地改变其传输插槽和假名。因此,保证了可解释性。采用假名年龄,匿名集规定和混淆作为位置隐私度量,我们推导了一个分析模型来量化Marp所取得的位置隐私。分析模型是将适用于其他假名方案的分析模型。广泛的仿真结果验证了分析模型,显示Marp可以抵抗MAC上下文链接攻击,并保证VANET中车辆的位置隐私和高效传输。

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