MECInOT: a multi-access edge computing and industrial internet of things emulator for the modelling and study of cybersecurity threats

Abstract In recent years, the Industrial Internet of Things (IIoT) has grown rapidly, a fact that led to an increase in number cyberattacks target this environment and technologies it brings together. Unfortunately, when comes using tools for stopping such attacks, can be noticed there are inherent weaknesses paradigm, as limitations computational capacity, memory network bandwidth. Under these circumstances, solutions used until now conventional scenarios cannot directly adopted by IIoT, so is necessary develop design new ones effectively tackle problem. Furthermore, must tested order verify their performance viability, which requires testing architectures compatible with newly introduced IIoT topologies. With aim addressing issues, work proposes MECInOT, architecture based on openLEON capable generating test environment. The validated creating intelligent threat detector tree-based algorithms, decision tree, random forest other machine learning techniques. Which allows us generate demonstrate, we could demonstrate suitability our environments. addition, compare different algorithms network. Firstly, present benefits proposal, secondly, describe emulation while ensuring repeatability experiments.