NETWORKING SYSTEMS OF AI (NSAI): A MULTI-TIERED FRAMEWORK FOR INTELLIGENT IOT INTEGRATION AND PROACTIVE SECURITY

The rapid convergence of computing and communication technologies has catalyzed a paradigm shift from traditional Internet of Things (IoT) infrastructures toward Networking Systems of AI (NSAI). In this ecosystem, distributed artificial intelligence (AI) becomes immersive across cloud, edge, and terminal devices, allowing the network to operate as an intelligent system itself to provide real-time smart services. However, the exponential growth of IoT-projected to reach 24.1 billion connected devices by 2030-introduces unprecedented security vulnerabilities due to the resource-constrained nature of these devices and their heterogeneous communication protocols. This research paper proposes a unified four-tier architecture consisting of the Physical Network, Service-Customized Network, Generalized Smart Service,and Application tiers. We provide a comprehensive comparison of linear and non-linear machine learning (ML) models for securing these systems and analyze the integration of blockchain for decentralized trust. Finally,we outline a roadmap toward Ubiquitous Brain Networks (UBN), where human intelligence and AI merge through advanced interfaces.