  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.
