International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The main purpose of this paper is to offer a data-driven approach to assess cyber risk and to ensure appropriate confidentiality, integrity, and availability. A study presents the decision hierarchical model of cyber security risk assessment based on AHP methodology and describes a quantitative measure for evaluating and ranking security incidents. It can be used to conduct cost-benefit analysis, design and optimize cybersecurity in the systems.

In this paper are presented some conclusions on the selection of the LMS to be used. The results of this study give readers information to make their own decisions when choosing an LMS platform based on the needs of their institution. The process of LMS selection is a multi-criteria decision-making problem and an Analytical Hierarchy Process (AHP) was used to assist in building the model and draw decisions. The paper presents an environment ”Network technologies for e-learning”(NTEL) using the offered Model for describing, structuring, and organizing the ontological representation of learning objects through providing a semantic infrastructure. Strategies and methodologies in ontology development and implementation are also discussed.