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受到了高度重视。为此，研究人员在多个方向展开探索，以确保此类基础设施能够在不突破安全冗余的前提下，改善现有的（大多为）人工控制交通体系。因此，此类基础设施的网络安全问题具有极其重要的研究价值。基于此，本文对现有模型及其漏洞进行了系统综述，并探讨了如何应对这些漏洞。我们的工作涵盖了安全领域的广泛范畴，从理论密码学概念到实际应用场景均有所涉及。同时，我们还考虑了因基础设施中采用人工智能/机器学习技术可能引发的安全问题。我们相信，本研究成果将有助于未来研究者全面而精炼地理解智能交通基础设施领域的网络安全问题。