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Cloud computing and cloud infrastructure are beginning to be applied in order to ensure effective functioning of management system of Critical Energy Infrastructure. This is improved informativeness of Supervisory Control and Data Acquisition system by the application of additional Wide-area Measurement and Control Systems (WAMCSs), since most of all processing and transition operations of data information streams of the WAMCSs may be performed by using on clouds. In light of these circumstances, it is importantly to get extensive modeling results considering wide area range of input data and latency time between critical energy infrastructure components and cloud infrastructure components. However, researchers were not, yet, had possibility to receive more adequate results based only mathematical modeling process. In this case, simulation models considering the cost time are more preferable than mathematical models. In the spirit development of this conception, authors are proposing to employ the simulation model based on virtual technology and Matlab Simulink toolkit in order to get modeling results for more important on-line mode of functioning of the WAMCSs.

Smart grid safety and security issues are of increasing interest to both researchers and practitioners. Universities invest considerable efforts in changing their curricula, developing new master and bachelor programs to respond to these new challenges. Currently, such courses and programs are not available in Ukraine. This paper presents our practical experience in developing such courses under Tempus projects. These programs might be based on the concept of research cases. The research case is an approach to research that focuses on gaining an in-depth understanding of a particular entity or event at a specific time. It includes the practical task settled by tutor, selection of methods by students, and presentation of results as a training paper. This approach might help to improve the student self-development, their knowledges and mental capabilities. It might facilitate their possible involvement into research activities focused on solving the problems of smart grid security and safety.

Abstract. The expected increase in transports of people and goods across Europe will aggravate the problems related to traffic congestion, accidents and pollution. As new road infrastructure alone would not solve such problems, Intelligent Transportation Systems (ITS) has been considered as new initiatives. Due to the complexity of behaviors, novel methods and tools for the requirements engineering, correct-by-construction design, dependability, product variability and lifecycle management become also necessary. This chapter presents an ontology-based approach to safety management in Cooperative ITS (C-ITS), primarily in an automotive context. This approach is supposed to lay the way for all aspects of ITS safety management, from simulation and design, over runtime risk assessment and diagnostics. It provides the support for ontology driven ITS development and its formal information model. Results of approach validation in CarMaker are also given in this Chapter. The approach is a result of research activities made in the framework of Swedish research initiative, referred to as SARMITS (Systematic Approach to Risk Management in ITS Context).

An algorithmic approach for the assessment of the survivability is proposed that is based on Lanchester’s modified deterministic model. Methods are suggested for increasing the available time capability for nuclear power plant monitoring and coverage, using the required or a limited number of the operable drones,. Dependencies of the variance between the residual fleet damage and permissible drone fleet damage on monitoring time as well as dependencies of the monitoring time on the recovery group productivity are analysed.