Maximizing anonymity of a vehicle

B. Chaurasia, S. Verma, S.M. Bhasker
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引用次数: 5

Abstract

As a vehicle moves on the road and communicates with other vehicles or road side units, communication identity and physical identity may be linked by estimating its position. This is threat to its privacy. However, as it moves its location changes. This breaks the correlation between the vehicle and its location. The change in location also changes the neighborhood of the vehicle. This change in size and nature of neighborhood may reduce the anonymity of a vehicle. This paper addresses the challenges in providing anonymity to a moving vehicle through optimal pseudonym update. It is shown that the effective size of anonymity set reduces drastically due to change in the neighbors. The work studies the possibility that a node may retain its anonymity by updating identities in the vicinity of other vehicles to decorrelate its location and identity relation. A heuristic that allows a vehicle to switch its identity to maximize anonymity preservation is proposed. Simulation results show that updating pseudonyms in accordance to the heuristic maximizes the anonymity of a vehicle by enhancing the effective crowd cover.
最大化车辆的匿名性
当车辆在道路上移动并与其他车辆或路边单位进行通信时,通过对其位置的估计可以将通信身份和物理身份联系起来。这是对其隐私的威胁。然而,随着它的移动,它的位置也在变化。这打破了车辆与其位置之间的相关性。位置的改变也会改变车辆的周边环境。这种社区规模和性质的变化可能会降低车辆的匿名性。本文解决了通过最优假名更新为移动车辆提供匿名性的挑战。研究表明,匿名集的有效大小会随着邻居的变化而急剧减小。研究了节点在其他车辆附近通过更新身份来解除其位置和身份关系,从而保持其匿名性的可能性。提出了一种允许车辆切换其身份以最大限度地保持匿名性的启发式方法。仿真结果表明,根据启发式算法更新假名可以增强有效人群覆盖,从而使车辆的匿名性最大化。
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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