Method for calculating the computer information protection index under conditions of uncertainty

The most striking property of human intelligence is the ability to make correct decisions under conditions of incomplete and uncertain information. Building models that replicate human thinking and applying them in computer systems is currently one of the most critical challenges in science. One of the key tasks in analyzing and managing information security in modern computers is the justified selection of the optimal set of system elements and determining their parameters in such a way as to ensure maximum functional efficiency under complex conditions of uncertainty. This task becomes particularly relevant due to the increasing complexity of computers and constantly changing operating conditions and potential security threats. A proper choice of information security system elements and their parameters allows for creating a flexible, adaptive, and reliable system capable of effectively countering risks, even in cases where complete information about the threats is unavailable. Therefore, determining the composition of elements and their parameters is one of the fundamental stages of ensuring information security, requiring the application of modern methods of analysis, modeling, and evaluation. This paper investigates the security system of a computer and its components under conditions of uncertainty. To achieve this, a tuple of fuzzy sets comprising computer components was constructed, modeled, and analyzed. Risk levels and computer security levels were calculated, along with the aggregation of results and membership functions. Trapezoidal and triangular methods were applied to calculate parameters. The calculations are illustrated with graphical material. The approach implemented in this study enables the visualization of an expert's confidence in the membership of values to the selected acceptable indicator of computer information security and represents this confidence through graphs and corresponding calculations. The proposed method for calculating the security indicator includes procedures for determining this indicator using triangular and trapezoidal metrics, reflecting the impact of computer components. The developed method can be effectively used for solving tasks related to assessing the information security indicator of a computer, as well as for further improving methods of information security analysis.