In recent times, the research works relating to smart traffic infrastructure have gained serious attention. As a result, research has been carried out in multiple directions to ensure that such infrastructure can improve upon our existing (mostly) human-controlled traffic infrastructure, without violating the safety margins. For this reason, cyber security issues of such infrastructure are of paramount interest. Keeping this in mind, we conduct a review of existing models, their vulnerabilities and how such vulnerabilities can be handled. Our work covers a vast area from the domain of security, starting from the theoretical notions of cryptography to the real-life adaptation of them. At the same time, we also consider the security issues that may arise due to the usage of artificial intelligence/machine learning in the infrastructure. We believe that our work will help future researchers to gain a comprehensive yet concise look at cyber security for smart traffic infrastructure.

翻译：近年来，与智能交通基础设施相关的研究工作引起了广泛关注。为此，研究人员从多个方向展开探索，以确保此类基础设施能够在不突破安全边界的前提下，改进现有（主要是人为控制的）交通基础设施。正因如此，此类基础设施的网络安全问题显得尤为关键。基于这一考量，我们对现有模型及其漏洞，以及应对这些漏洞的方法进行了综述。我们的工作涵盖了安全领域的广泛范围，从密码学的理论基础到其实际应用。同时，我们也考虑了因在基础设施中使用人工智能/机器学习可能引发的安全问题。我们相信，本工作将有助于未来研究人员全面且简明地了解智能交通基础设施的网络安全问题。