As an important application of mobile ad hoc networks, VANETs play an important role in intelligent transportation. However, with the development of mobile communication technology, as well as the needs of intelligent transportation, both security and efficiency are required for realtime authentication and communication. Traditional authentication and key distribution schemes suffer from network failure and high response latency. To solve the above problems, this article proposes a BAGKD protocol to achieve robust and efficient networking for the security and efficiency of VANETs. In our protocol, bilinear mapping is used to realize batch authentication, which can improve authentication efficiency and reduce message errors caused by factors such as high speed of vehicles. The group key distribution mechanism can update the group key dynamically, which reduces the risk of group key leakage effectively. For the sake of privacy protection, vehicles utilize pseudonyms issued by a trusted authority to communicate with RSUs. The security of BAGKD protocol is verified by simulation in our experiments on AVISPA. In addition, when compared to three existing protocols based on bilinear mapping, our proposed BAGKD outperforms them in terms of efficiency and communication overhead while maintaining security. The simulation results further confirm that BAGKD is suitable for short-range communication scenarios such as VANETs.

中文翻译：

---

BAGKD：VANET 的批量认证和组密钥分发协议

VANETs作为移动自组网的重要应用，在智能交通中发挥着重要作用。然而，随着移动通信技术的发展，以及智能交通的需求，实时认证和通信需要安全和高效。传统的认证和密钥分发方案遭受网络故障和高响应延迟。针对上述问题，本文提出了一种BAGKD协议，以实现对VANETs的安全性和效率的鲁棒性和高效的组网。在我们的协议中，使用双线性映射来实现批量认证，可以提高认证效率，减少车辆高速等因素造成的消息错误。组密钥分发机制可以动态更新组密钥，有效降低了组密钥泄露的风险。出于隐私保护的考虑，车辆使用受信任机构颁发的假名与 RSU 进行通信。BAGKD 协议的安全性通过我们在 AVISPA 上的实验进行了仿真验证。此外，与基于双线性映射的三种现有协议相比，我们提出的 BAGKD 在保持安全性的同时，在效率和通信开销方面优于它们。仿真结果进一步证实了 BAGKD 适用于 VANET 等短距离通信场景。与基于双线性映射的三个现有协议相比，我们提出的 BAGKD 在保持安全性的同时在效率和通信开销方面优于它们。仿真结果进一步证实了 BAGKD 适用于 VANET 等短距离通信场景。与基于双线性映射的三个现有协议相比，我们提出的 BAGKD 在保持安全性的同时在效率和通信开销方面优于它们。仿真结果进一步证实了 BAGKD 适用于 VANET 等短距离通信场景。