Design Of A Secure V2V & V2I Communication System For Smart Transportation

Description

This graduation Project presents the design and implementation of a secure intelligent Vehicle-Vehicle (V2V) and Vehicle-Infrastructure (V2I) communication system for smart transportation ecosystems. The system aims to enhance road safety, otimpize traffic management, and provide a reiable mechanism for stolen vehicle tracking while mantaining robust secuirty and low-latency performance. The proposed architecture integrates Internet of Things (IoT) with an edge-centric fog computing model to minimize latency and enable real-time decision-making. Security in enforced through a Public Key Infrastructure (PKI) that provides authentication, encrypted communication, and certificare-based access control. The system provides safety application such as Forwad Collision Warning (FCW) and Intersection Collision Warning (ICW) utlizing sensors and real-time analytics to detect and alter drivers. A comprehensive threat modelling conducted by STRIDE framework to identify and mitigate security vulnerabilites across certificate authority, communication system, and cryptographic protocols. The design addresses key challenges such as spoofing, tampering, denial of service attacks, and privacy preservation through certificate authority, authenticated encryption, and secure key exchange. By leveraging cost-effective, commercially available hardware and open-source software, the system offers a scalable and deployable solution for modern intelligent transportation systems. This work provides a validated blueprint for secure, low-latency V2V/V2I communication, contributing to the advancement of safer, more efficient smart city mobility networks.