# Securing Manufacturing Intelligence for the Industrial Internet of Things

## TL;DR

This paper compares centralized and distributed security models for protecting manufacturing data analytics in IIoT, proposing a hybrid multi-cloud approach for enhanced security and resource efficiency.

## Contribution

It introduces a hybrid security architecture combining centralized and distributed models for manufacturing IIoT data protection.

## Key findings

- UTM model is easier to maintain with fewer vulnerabilities.
- Distributed security outperforms UTM in resource utilization.
- Hybrid multi-cloud security model is proposed for optimal protection.

## Abstract

Widespread interest in the emerging area of predictive analytics is driving industries such as manufacturing to explore new approaches to the collection and management of data provided from Industrial Internet of Things (IIoT) devices. Often, analytics processing for Business Intelligence (BI) is an intensive task, and it also presents both an opportunity for competitive advantage as well as a security vulnerability in terms of the potential for losing Intellectual Property (IP). This article explores two approaches to securing BI in the manufacturing domain. Simulation results indicate that a Unified Threat Management (UTM) model is simpler to maintain and has less potential vulnerabilities than a distributed security model. Conversely, a distributed model of security out-performs the UTM model and offers more scope for the use of existing hardware resources. In conclusion, a hybrid security model is proposed where security controls are segregated into a multi-cloud architecture.