A Contemporary Secure Microservices Discovery Architecture with Service Tags for Smart City Infrastructures
DOI:
https://doi.org/10.21015/vtse.v12i1.1752Abstract
The re-conceptualization of fundamental elements from traditional monolithic structures to the Microservices framework has emerged as a vital vision for the future of IoT systems. This transformation is pivotal in addressing the present and future challenges faced by IoT systems and enhancing their overall operational qualities. The adoption of Microservices in IoT introduces an array of opportunities for innovative research, which collectively contribute to its feasibility and success. The transition from traditional systems to Microservices in IoT brings forth various complex challenges that need to be effectively addressed. Key challenges include ensuring seamless Microservice discovery, efficient API gateway management, scalable distribution services, reliable uniform service discovery, robust containerization, and stringent access control mechanisms. These challenges encompass both technical and security-related aspects, necessitating innovative solutions to overcome them. To overcome these challenges, our research proposes a secure service discovery architecture that integrates security measures at each stage of the discovery process. This methodology employs advanced encryption techniques, authentication protocols, and authorization mechanisms to safeguard Microservices in IoT. A mathematical framework is introduced to formalize and implement these security measures, ensuring a robust and reliable approach to Microservices adoption in the IoT ecosystem. In the experimental phase of our research, we aim to validate the proposed secure service discovery architecture through a series of rigorous tests and simulations. We will assess its performance, scalability, and security efficacy under various real-world scenarios and IoT use cases. Experimental results and performance metrics will be analyzed to provide empirical evidence of the viability and effectiveness of our proposed methodology in addressing Microservices-related challenges in IoT systems.
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