Ranking Resilience Events in IoT Industrial Networks

Maryam Nooraei Abadeh

Department of Computer Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran

Email: mnooraei@iauabadan.ac.ir

Mansooreh Mirzaie

Faculty of Electrical and Computer Engineering, Golpayegan University of Technology, Golpayegan, Iran Email: mirzaie@gut.ac.ir

Maintaining critical data and process availability is an important challenge of Industry 4.0. Given the variety of smart nodes, data and the access latency that can be tolerated by consumers in modern IoT-based industry, we propose a method for analyzing the resiliency of an IoT network. Due to the complexity of modern system structures, different components in the system can affect the system's resiliency. Therefore, a fundamental problem is to propose methods to quantify the value of resilience contribution of a node in each system effectively. This paper aims to identify the most critical vertices of the network with respect to the latency constraint resiliency metric. Using important centrality metrics, we identify critical nodes in industrial IoT networks to analyze the degree of resiliency in the IoT environments. The results show that when nodes with the highest value of Closeness Centrality (CC) were disrupted Resiliency of Latency (RL) would have the lowest value. In other words, the results indicate the nodes with the high values for CC are most critical in an IoT network.