Security and Privacy Issues for Urban Smart Traffic Infrastructure

TL;DR

This paper reviews cybersecurity and privacy challenges in urban smart traffic systems, covering theoretical cryptography, AI-related vulnerabilities, and practical security solutions to guide future research.

Contribution

It provides a comprehensive review of security issues, vulnerabilities, and mitigation strategies in smart traffic infrastructure, integrating theoretical and practical perspectives.

Findings

Identification of key vulnerabilities in smart traffic systems

Analysis of AI-related security risks

Overview of cryptographic solutions for infrastructure security

Abstract

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.