This article presents an analysis of cloud technologies as key current trend in the development of IT infrastructure, their main characteristics, security levels and the increased requirements they must meet when considered for defence and security applications. It provides an overview of main standards and requirements that modern data centres have to meet to ensure a high level of availability of the provided IT services. Specific requirements have been formulated for building a sustainable system of modern data centres for defence and security needs, and attention has been paid to data protection when using cloud technologies. A solution is proposed for implementing cloud technologies and an approach for building an integrated data centre system for defence and security needs in organizing collaborative work between officials within the organization.

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This article presents some possibilities for obtaining sensory data from the environment (such as meteorological data, pollution level, night vision, etc.), using unmanned aerial vehicles. Attention is paid to some specific requirements to UAVs used as flying platforms for sensory data acquisition. The process of creating a prototype of a system for collecting and transmitting data in real time from the site of a crisis event using UAVs is analysed. The authors propose to use a specialised neural network tuned to identify halfhidden (half-buried by disaster) people when analysing images received from UAV-borne sensors.

The paper presents a generalized net (GN) model of the process of terrain observation with the help of unmanned aerial vehicles (UAVs) for the prevention and rapid detection of wildfires. Using a GN, the process of monitoring a zone (through a UAV, which is further called a reconnaissance drone) and the localization of forest fires is described. For a more indepth study of the terrain, the reconnaissance drone needs to coordinate with a second UAV, called a specialized drone, so that video and sensory information is provided to the supervising fire command operational center. The proposed GN model was developed to assist in the decision-making process related to the coordination of the operation of both UAVs under dynamically changing terrain circumstances, such as those related to preventing or quickly containing wildfires. It describes the stages (transitions), logical determinants (transition predicate matrices), and directions of information flow (token characteristics) within the process of localization of fires using the pair of reconnaissance and specialized drones.