An Integrated Artificial Intelligence and Cloud Ecosystem for Secure Web Application Development and Healthcare Imaging over 5G Networks
DOI:
https://doi.org/10.15680/IJCTECE.2023.0602010Keywords:
Artificial Intelligence, Cloud Computing, Secure Web Applications, Healthcare Imaging, 5G Networks, DevSecOps, Federated Learning, Microservices, Data SecurityAbstract
The convergence of Artificial Intelligence (AI), cloud computing, secure web application development, and 5G networking is drastically reshaping digital ecosystems, particularly in domains that demand high performance and robust security such as healthcare imaging and large-scale web platforms. This paper presents an integrated ecosystem designed to leverage the elasticity and scalability of cloud infrastructure with intelligent AI-driven analytics, secured web frameworks, and the ultra-low latency and high bandwidth afforded by 5G networks. By combining these technologies, the ecosystem enables rapid, secure processing of complex medical images, supports advanced predictive services, and enhances the resilience of web applications against emerging cyber threats. Key design principles include modular microservices, containerized deployment, end-to-end encryption, federated learning for privacy preservation, and DevSecOps practices for continuous security reinforcement. Empirical evidence highlights improvements in diagnostic turnaround times, accuracy of automated image interpretation, response times in web services, and adaptive threat detection. Challenges related to data governance, algorithmic bias, computational cost, and secure model deployment are examined. The ecosystem’s implications for future digital infrastructures indicate profound opportunities for scalable, secure, and intelligent distributed systems across industries.
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