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，智能交通基础设施相关的研究工作受到了广泛关注。因此，为确保此类基础设施在不突破安全裕度的前提下改善现有（主要基于人工控制的）交通基础设施，研究已从多个方向展开。鉴于此，此类基础设施的网络安全问题至关重要。基于这一认识，我们对现有模型、其脆弱性以及如何应对这些脆弱性进行了综述。我们的工作涵盖了安全领域的广阔范围，从密码学的理论概念到其在实际场景中的应用。同时，我们还考虑了因基础设施中人工智能/机器学习应用可能引发的安全问题。我们相信，本工作将帮助未来研究者全面而简洁地了解智能交通基础设施的网络安全。