The development of a method for assessing the security of complex technical systems using artificial immune systems

Abstract

Ensuring the security of complex technical systems of various functional purposes requires a constant search for new scientific and practical approaches in order to ensure its proper level against a growing list of new risks and threats. Nowadays, no state in the world is able to work on the creation and implementation of artificial intelligence in isolation from others. Artificial intelligence technologies are actively used to solve both general and highly specialized tasks in various spheres of society. The problem of synthesis of management of complex technological processes is an urgent task in management theory. A promising direction in the design of such complex ones is the use of bio-inspired algorithms that are effectively used while solving optimization tasks. Thus, the object of research is complex technical systems. The subject of research is the state security of complex technical systems. The research developed a method for assessing the security of complex technical systems using artificial immune systems. The novelty of the proposed method consists in: ‒ taking into account while calculating the correction factor for the degree of uncertainty about the state of a complex technical system; ‒ reducing computing costs while assessing the state of a complex technical system; ‒ improved implementation of procedures for solving the task of influencing relationships in a complex technical system; ‒ creating a multi-level and interconnected description of hierarchical complex technical systems; ‒ the possibility of performing calculations with source data that are different in nature and units of measurement. It is advisable to implement the mentioned technique in specialized software, which is used to analyze the state of complex technical systems and make decisions.