International Journal of Scientific Research and Engineering Development

With the fast development of connected vehicle ecosystems, the modern transportation has been transformed by the seamless exchange of the information between vehicles, cloud services, and infrastructure. But as a requirement, the security and scalability of these ecosystems is also a serious issue. This paper examines the architectural frameworks of clouds that would support secure scaling integration with connected vehicles. A systematic review of current 2019 studies reveals such enablers as microservice-based architectures (Hanel et al., 2019), attribute-based access control mechanisms (Zhang et al., 2019), and edge cloud hybrid models based on latency optimization (Dutta et al., 2019). The suggested conceptual framework unites all these concepts into a layered architecture whereas adding value to realtime data processing, system reliability, and intrusion resilience. Security is monitored by dynamically managing trust, encryption, and decentralized authentication schemes and scalability is ensured by container orchestration and dynamic load balancing. The results indicate that well-designed cloud-native architectures can provide seamless and secure communication of vehicles in dynamic loads. The results of this work can be applied to automotive original equipment manufacturers (OEMs), cloud service vendors, and intelligent transportation system architects who aim at implementing robust and high-performance cloud models to support connected mobility applications.

Muhammad Arsalan, Muhammad Ayaz, Yousaf Ali, Uroosa Baig ,"Secure and Scalable Cloud Architectures for Connected Vehicle Ecosystems" International Journal of Scientific Research and Engineering Development, V8(6): Page(2415-2427) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.