Towards Secure Internet of Things-Enabled Intelligent Transportation Systems: A Comprehensive Review
Changxia Lu, Fengyun Wang · International Journal of Advanced Computer Science and Applications · 2024
The Internet of Things (IoT) constitutes a technological evolution capable of influencing the establishment of smart cities in a wide range of fields, including transportation. Intelligent Transportation Systems (ITS) represent a prominent IoT-enabled solution designed to enhance the efficiency, safety, and sustainability of transport networks. However, integrating IoT with ITS introduces significant security challenges that need to be addressed to ensure the reliability of these systems. This research aims to critically analyze the current state of IoT-integrated ITS, identify security threats and vulnerabilities, and evaluate existing security measures to propose robust solutions. Utilizing a comprehensive review methodology that includes literature analysis and expert interviews, we identify key achievements and pinpoint critical security gaps. Our findings indicate that while substantial progress has been made in securing ITS, significant challenges remain, particularly regarding scalability, interoperability, and real-time data processing. The study proposes enhanced security protocols and methods to mitigate these risks, contributing to the development of more secure and resilient IoT-enabled ITS.