The rapid development of vehicular ad hoc networks (VANETs) has brought significant improvement to traffic safety and efficiency. However, owing to limitations associated with VANETs’ own unchanging model and traditional network structure, there are still many challenging concerns such as poor flexibility and controllability to deal with. To solve these inherent problems effectively, we propose a weight-based conditional anonymous authentication scheme by introducing the newly emerging software-defined networking (SDN) framework. Firstly, by making use of the global planning and dynamic management features of SDN, vehicles are classified into different priorities using weighted values to reduce communications redundancy, and control the participation of malicious vehicles. Then, an efficient conditional privacy-preserving scheme was developed to secure communications among vehicles. A two-step tracing approach has been designed to exclude and punish vehicles whose weights drop below the threshold. Extensive analyses indicate that our conditional privacy-preserving scheme is secure and has lower computation costs than conventional state-of-the-art authentication schemes.

中文翻译：

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软件定义的车载网络中基于权重的条件隐私保护认证方案

车辆自组织网络（VANET）的快速发展极大地提高了交通安全性和效率。但是，由于VANET自身不变的模型和传统网络结构的局限性，仍然存在许多挑战性问题，例如较差的灵活性和可控性。为了有效解决这些固有问题，我们通过引入新出现的软件定义网络（SDN）框架，提出了一种基于权重的条件匿名身份验证方案。首先，通过利用SDN的全局规划和动态管理功能，使用加权值将车辆分为不同的优先级，以减少通信冗余并控制恶意车辆的参与。然后，开发了一种有效的有条件的隐私保护方案，以保护车辆之间的通信。设计了一种两步跟踪方法，以排除和惩罚重量低于阈值的车辆。大量分析表明，与传统的最新身份验证方案相比，我们的条件隐私保护方案是安全的，并且具有较低的计算成本。