# A Secure Connectivity Model for Internet of Things Analytics Service Delivery

## TL;DR

This paper proposes a new connectivity model inspired by the NIST cloud computing layers to facilitate secure and efficient delivery of analytics services across distributed IoT and IIoT systems.

## Contribution

It introduces a novel connectivity framework tailored for IoT analytics service delivery, integrating distributed system components based on a layered model.

## Key findings

- The model enhances secure communication among IoT components.
- It supports scalable and flexible analytics service deployment.
- The approach aligns with existing cloud computing standards.

## Abstract

Wide scale interest and adoption of Internet of Things (IoT) technologies is fuelling innovation in the way individuals and even machines can interact to exchange knowledge. One area of particular interest is that of analytics. Ever decreasing form factor hardware is enabling computation and data storage to be embedded into many different devices. The combination of network connectivity and emerging distributed models of service orchestration is allowing the creation of new ways of measuring, monitoring and analysing performance. Using an approach inspired by the NIST seven layer model of cloud computing, we propose a model of connectivity that enables analytics services to be consumed across individual system components that are distributed, such as those found in the IoT and Industrial IoT (IIoT) domains.