Cybersecurity competencies are critical in the smart grid ecosystem, considering its growing complexity and expanding utilization. The smart grid environment integrates different sensors, control systems, and communication networks, thus augmenting the potential attack vectors for cyber criminals. Therefore, interdisciplinary competencies are required from smart grid cybersecurity specialists. In the meantime, there is a lack of competence models that define the required skills, considering smart grid job profiles and the technological landscape. This paper aims to investigate the skill gaps and trends in smart grid cybersecurity and propose an educational approach to mitigate these gaps. The educational approach aims to provide guidance for competence-driven cybersecurity education programs for the design, execution, and evaluation of smart grids.

The paper introduces a scenario development approach to management simulation games. Nowadays the high efficiency of simulation games as a training method is obvious due to their ability to help students understand the complexity of decision making within a dynamic environment. Modern computer technologies allow creating complex games with an adaptable environment that requires development of appropriate game scenarios. It is not a trivial problem that requires elaborating of a formal approach, which will be described in the paper. As a result a general scheme for scenario development and modelling for a simulation game is proposed in the paper. Some sample scenarios for logistics and supply chain games are provided in the paper as well.

The Doctoral Thesis is elaborated in the field of scenario-based simulation game management. The essence of simulation games and their role in the learning process is studied, their advantages and disadvantages are identified. The concept of simulation game scenarios is developed that enables efficient game management by using formal methods. An integrated approach to simulation game scenario management is developed and the procedure for scenario generation, simulation and control; as well as its implementation mechanisms, are described.