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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 asystem, it will eventually fail without proper and continuous monitoring. Nowonder that the cybersecurity market is expected to grow up to $170.4 billionin 2022. However, the majority of legacy industries do not invest in NSMimplementation until it is too late due to the initial and operation costs andstatic unutilized resources. Thus, this paper proposes a novel dynamic Internetof things (IoT) architecture for an industrial NSM that features a lowinstallation and operation cost, low power consumption, intelligentorganization behavior, and environmentally friendly operation. As a case study,the system is implemented in a mid-range oil a gas manufacturing facility inthe southern states with more than 300 machines and servers over three remotelocations and a production plant that features a challenging atmospherecondition. The proposed system successfully shows a significant saving (>65%)in power consumption, acquires one-tenth of the installation cost, develops anintelligent operation expert system tool as well as saves the environment frommore than 500mg of CO2 pollution per hour, promoting green IoT systems.

Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring