Abstract
The article presents the authors’ views on the organization of the modern system of cybersecurity. We considered the tasks, assigned to the monitoring subsystem and reconnaissance of cyberspace as a source of preventive hardware and software effects on the opposing side. The shortcomings of the existing structures of such subsystems are analyzed and the requirements to the intelligent automated system of cybersecurity are specified. The article offers hardware and software solutions, based on the development of a mobile robotic system for audit the stability of the network infrastructure and applications to existing and future cyber threats. A variant of the functional scheme of a robotic system with a universal housing is presented and with a set of mechanical drives, depending on the characteristics of the problems to be solved. For providing high functional flexibility and speed of the robotic system it is proposed to use fuzzy neural networks. The union of two independent theories - neural networks and fuzzy logic - allowed creating neural-fuzzy systems, having a high level of intelligence and independence in decision-making. The advantage of hybrid neural-fuzzy technology of modeling and information processing is the ability to view the generated rules and giving them a meaningful linguistic interpretation. A reasonable conclusion is made, that is the main meaning of that is the main meaning of the shift of creation concepts and using of artificial intelligence - transition from individual systems to distributed information processing and the development of multi-agent intelligent systems.
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