Affiliations: [a]
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
| [b]
Department of Networking and Communications, Faculty of Engineering and Technology, SRM Institute of Science and Technology, KTR, Chengalput, Chennai, Tamil Nadu, India
| [c]
Department of Electronics and Instrumentation, M.S. Ramaiah Institute of Technology, Karnataka, India
| [d]
Department of Mechanical Engineering, Saveetha Engineering College, Chennai, Tamil Nadu, India
| [e]
Department of Computer Science and Engineering, Tagore Engineering College, Tamil Nadu, India
| [f]
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
Correspondence:
[*]
Correspondence to: N. Bharathiraja, Associate Professor, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. E-mail: [email protected].
Abstract: The Secured Independent Intelligent Transport System (SIITS) is poised to revolutionize traditional transport management systems, leveraging autonomous vehicles (AVs) connected through an open-channel Internet to link Traffic Command Centers (TCCs), Road Side Units (RSUs), and AVs within the SIITS framework. However, this reliance on the Internet exposes users to various security risks, safety vulnerabilities, and other challenges that impede the progress of SIITS applications. In this method, ensuring robust security management and trustworthiness is paramount for the long-term adoption of this innovative trend. While previous efforts have focused on integrating security methods from multiple disciplines into a unified reference design, this article presents a reference architecture primarily centered around ITS safety. Additionally, the article introduces a proposed framework for enhancing ITS safety, addressing the confidence issues. To further address these challenges, the article offers categorization of goods, Big Data methods and services, and validates the utility of ITS business analytics for corporate applications through a groundbreaking multi-tier ITS security architecture.
Keywords: Intelligent Transport System, vulnerabilities, security, Big Data, business intelligence development
