ON THE CONCEPT OF CREATING INTELLIGENT INFORMATION SECURITY SYSTEMS BASED ON NEURAL NETWORK INTRUSION DETECTION SYSTEMS
Abstract
The subject of research is the concept of creating intelligent information security systems based on neural network intrusion detection systems (IDS) in cyberspace. In research, flexibility, learning, and controllability are considered key conceptual requirements for an IDS system. Special attention is paid to the construction of a flexible intelligent information security system, including IDS, both in the nodes of the system components and in the data transmission networks between the components. Methodological research on the selected research area can be carried out using artificial intelligence, systematic analysis methods and the theory of intelligent information systems in the field of artificial intelligence. The research uses the achievements of the systematic-conceptual approach to information protection in the system. The main result of the research is that the successful protection of information in the system can be implemented only in the form of interconnected local systems using neural network technologies integrated into a single center based on a systematic-conceptual approach. The need to use a single systematic approach based on uniform legal, organizational and technical measures for information protection is based on the need to combat unauthorized attacks. It is considered that the application of a systematic-conceptual approach to the creation of IDS based on neural network technologies will help to develop new tools, methods and measures for the intelligent management of information security in the system.
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