Abstract
Technology advancements of real time connectivity and computing powers has evolved the way people manage activities triggering heavy reliance on smart devices. This has reshaped the ability to memorize crucial information, instead accumulate the information into devices allowing real-time fingertip access when needed. Inability to access such information when needed is routinely assumed with device malfunctioning bypassing the probability of compromise, but what if the information is now being accessed by adversaries depriving the data-owner access to crucial information? Cyber manufacturing systems are not immune from these issues. It is possible to approach this problem as generating SoS meta-architecture. In this paper a model is developed using SoS Explorer tool developed by Engineering Management and Systems Engineering that demonstrates the concern on a notional banking cybersecurity problem. Solution that generates a meta-architecture is achieved through Genetic Algorithm (GA) using fuzzy assessor as a fitness function to select combinations of defense mechanism constituents.
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