Design and Development of Security Model for IOT Based Smart Transportation System

The integration of Internet of Things (IoT) technologies into intelligent transportation systems has become a key enabler for smart cities, supporting real-time traffic management, connected vehicles, and enhanced public safety. However, the highly distributed and heterogeneous nature of IoT-based smart transportation environments introduces significant security and privacy challenges, including device impersonation, data tampering, denial-of-service attacks, and cyber-physical threats that can directly impact human safety. This research paper presents a layered security model for IoT-enabled smart transportation systems, designed using a defense-in-depth approach. The proposed model addresses security requirements across multiple layers, including the perception layer, communication network, edge/fog layer, cloud infrastructure, and in-vehicle systems. Key security mechanisms such as secure boot, public key infrastructure–based authentication, end-to-end encryption, secure V2X communication, intrusion detection systems, role-based access control, and secure over-the-air updates are incorporated to ensure confidentiality, integrity, availability, and system resilience. In addition, the model emphasizes privacy preservation through data anonymization, trust and identity management and incident response strategies to maintain safe operation under attack conditions. The proposed framework is scalable, real-time capable, and adaptable to evolving threat landscapes, making it suitable for large-scale smart city deployments. This work provides a comprehensive foundation for securing future intelligent transportation systems against both cyber and cyber-physical attacks.