Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring

TL;DR

This paper introduces a low-power, cost-effective IoT architecture for industrial cybersecurity monitoring that adapts dynamically, reduces environmental impact, and is validated in a real oil and gas facility.

Contribution

It presents a novel, environmentally friendly IoT system for industrial network security with significant cost and power savings, and intelligent operational features.

Findings

Power consumption reduced by over 65%

Installation costs decreased by 90%

Environmental CO2 emissions reduced by 500mg per hour

Abstract

Network security morning (NSM) is essential for any cybersecurity system, where the average cost of a cyber attack is 1.1 million. No matter how secure a system, it will eventually fail without proper and continuous monitoring. No wonder that the cybersecurity market is expected to grow up to $170.4 billion in 2022. However, the majority of legacy industries do not invest in NSM implementation until it is too late due to the initial and operation costs and static unutilized resources. Thus, this paper proposes a novel dynamic Internet of things (IoT) architecture for an industrial NSM that features a low installation and operation cost, low power consumption, intelligent organization behavior, and environmentally friendly operation. As a case study, the system is implemented in a mid-range oil a gas manufacturing facility in the southern states with more than 300 machines and servers over three remote locations and a production plant that features a challenging atmosphere condition. The proposed system successfully shows a significant saving (>65%) in power consumption, acquires one-tenth of the installation cost, develops an intelligent operation expert system tool as well as saves the environment from more than 500mg of CO2 pollution per hour, promoting green IoT systems.