An Intelligent Multi-Objective Evolutionary Model for Establishing Security in Cyber-Physical Systems

Abstract

The modelling of an efficient CPS is emphasis with the origin of novel functionality over the applications with various design elements. These elements are generally uncertain where these elements include sensors, scheduling, resources, and optimization process. Here, an extensive analysis is carried out with the modelling of CPS element-driven problem formulation. The formulated problems are resolved using a multi-objective evolutionary (MOEA) algorithm to show the intelligence of the optimization approach in the CPS design level. The proposed MOEA shows the viability of the CPS element-driven problem in an explicit manner. The feasibility of the uncertain CPS is measured with the suitability measures in diverse perspectives. The efficiency of the MOEA is examined over the MATLAB 2020a simulation environment. The proposed MOEA model gives better trade-off in contrary to prevailing optimization approaches.