An approach and platform for generating and running high fidelity control system deceptive systems. This platform operates a model of the real process, generated either from apriori knowledge or data from the real system, that drives the deceptive systems. With a model of the real physical system, deceptive network attached controllers and sensors can be generated that respond to attacker interaction in realistic ways that make it seem like they are part of the real system. This level of fidelity is necessary to deceive intelligent and targeted attackers. The novel feature of this invention are the generation of a process model that drives the deceptive elements. In addition, control system specific breadcrumbs (pieces of information placed within real server and workstation systems that lead an attacker that has successfully infiltrated the system toward the deceptive systems) that integrate with control system servers/services.