Unified data model for defining state critical information infrastructure in civil aviation

State critical systems and resources can be damaged. By this means most of world leader states have attended to methods and means of identifying, systematization and security assurance for critical infrastructure objects. Loss or operational breakdown of these objects can cause significant or irreparably damage for national security of the state. However, as shown by the analysis of the domestic normative base, today in Ukraine an exhaustive list of objects of the critical information infrastructure of the state is not yet formed and there is no clear mechanism for the objects defining. Given the above, the paper proposes a unified data model for the formation of critical information infrastructure of the state objects list and, on the basis of the developed model, a list of critical objects in civil aviation is formed. In further works is planned to develop efficient methods and tools for identifying and ranking objects, defined using the proposed model of data.

I. Introduction

Modern society entirely depends on information-communication systems and networks, the failure of which, can lead to chaos, significant financial losses and even mass deaths of people. However, the majority of humanity tends to take the most important services (in particular, their quality) as a matter, until something or somebody disturbs their work. To determine and generalize the most important and most vulnerable of state assets, relatively recently, the term critical infrastructure (CI) [1] was introduced into international law. Typically, this category relates to energy and transmission line, oil and gas line, seaports, high-speed and government communications channels, life-saving systems of megacities, high-tech enterprises and enterprises of the military-industrial complex, and also the central government authority. Recently, the issue of the objects and protection the safety of CI in general (at the state and international levels) became relevant.