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The paper presents an analysis of existing knowledge management models and justification for introducing an integrated model of knowledge management for both industry and academia. It is proposed to build such a model using well-known standards of IT security – common criteria and methodology for IT security evaluation. The model of knowledge management is elaborated by analyzing the content of the relevant elements of standards and establishing the knowledge content that determines the forms of relations between them. The authors propose the application of the architecture of four-factor models towards the formation of knowledge management models in the organization of the information security management system in accordance with the standards of the series ISO/ IEC 27000.

This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise using industrial IoT. DT data technology allows to find the required knowledge that can be interpreted and used to support the process of decision making in the management of the enterprise. The authors propose a classification of DTs for manufacturing and a systematic approach to DT application, as well as its use for simulation of real logistics systems.

Aerospace industry has become one of the most important and dynamically developed sectors of the world economy in the last decades. It brings in billions of US dollars due to commercialization of space projects, especially by provisioning telecommunications services, Earth observation and navigation, weather monitoring, etc. Space projects belong to so-called mission critical applications, i.e. applications, whose failures cause both material and pecuniary losses (and sometimes, unfortunately, loss of human lives) and also can ruin long-term scientific, military and other important government or commercial programs. Besides, high reliability and safety of rocket-space systems are of an increasing economic importance, since the disasters and space accidents lead not only to missing profits, but also to millions of dollars loss. The purpose of the paper was to analyze the risks of the launch vehicle crashes and spacecraft failures, which occurred during the first decade of the 21st century. In the paper we present orbital carrier rockets and spacecrafts launch statistics from 2000 to 2009. We investigate the causes of launch vehicle crashes and spacecraft failures and also analyze faults in different subsystems resulted in such accidents, focusing mainly on the influence of computerbased control systems, their hardware and software components on reliability and safety of rocket-space systems..

This paper presents the development of the MFMC-based methodology and technique for modelling and quantitative availability assessment of critical ITinfrastructure consisting of maintained and partially unmanned systems. It takes into consideration a variation of system and component parameters and, in particular, variation of failure rates caused by detection and elimination of design faults.

 Five universities from Ukraine – Khmelnitskiy National University, National Aerospace University “KhAI”, Odessa National Polytechnic University, Poltava National Technical University, and Sevastopol National Technical University; the Institute of Mathematical Machines and Systems, National Academy of Sciences of Ukraine, Kyiv as a research partner; and two industrial partners – Design Bureau “Polysvit,” Kharkiv and Research Production Company “Radiy” from Kirovograd

The paper discusses a generic intrusion-avoidance architecture allowing the system architects to decrease the risk of intrusions. The architecture employs software diversity at various system levels and dynamically reconfigures the deployment environment to avoid intrusions. This solution reduces the so-called system’s days-of-risk which is a period of an increased security risk between the time when a vulnerability is publicly disclosed to the time when a patch is available to fix it. To select the less vulnerable system configuration we propose metrics estimating security risks by accounting a number of not-fixed vulnerabilities and their severity.

The provision for effective operation of critical infrastructures (CI) is approached by taking into account priorities for their safety and reliability. This paper substantiates practical aspects of introducing CI management based on technical megastate. It presents relevant mathematical models based on the principles of analysis and assessment of infrastructure systems safety.

After the Fukushima nuclear accident the problem of safe interaction between a nuclear power plant and the power grid requires urgent attention. The Ukrainian power grid is the backbone for stable development of all dependent infrastructures. Nuclear power plants can be seen as elements interacting with the system for power distribution. There are five nuclear power plants (NPP) in Ukraine. The NPP safety depends on the reliability of its subsystems, components, etc., as well as on the safety levels of other power grid subsystems. There are various interdependencies among NPPs and the power grid, which impact the safety levels of both. The balance of these mutual influences is considered as a basis for the stability of any infrastructure. The change of influences could lead to violation of the balance, that in turn may lead to a change in the subsystem’s state. This paper presents an approach for formalization of different types of influences between dependent infrastructures. This approach supports the analysis of the behaviour of infrastructure subsystems and the prediction of their safety levels, considering the change of states. Two metrics are proposed to evaluate the influences: linguistic and numerical. The influence formalization enhances the understanding of risk proliferation and the assurance of NPP safety.