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,智慧交通基础设施的研究工作备受关注。因此,在不违反安全保障标准的前提下,进行了多方向的研究,以确保此类基础设施能够改进我们现有的(主要)人控制的交通基础设施。基于此,此类基础设施的网络安全问题变得至关重要。考虑到此点,我们对现有模型及其漏洞进行了回顾,以及如何处理此类漏洞。我们的研究的范围涵盖了安全领域的广泛区域,从密码学的理论概念到实际应用中的相应方案。同时,我们还考虑了人工智能/机器学习在基础设施中使用可能引发的安全问题。我们相信,我们的工作将帮助未来的研究人员全面而简洁地了解智慧交通基础设施的网络安全问题。