Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring
This addresses the problem of costly and underutilized cybersecurity monitoring for legacy industries like manufacturing, offering a low-power, cost-effective solution with environmental benefits.
The paper tackles the high cost and resource inefficiency of network security monitoring in legacy industries by proposing a novel dynamic IoT architecture, achieving over 65% power savings, one-tenth the installation cost, and reducing CO2 pollution by more than 500mg per hour in a case study at an oil and gas facility.
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.