ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 3. Vol. 26. 2020

DOI: 10.17587/it.26.185-191

E. A. Basinya, Ph. D., Professor¹, Director², e-mail: director@nii-ikt.ru,
 ¹ Novosibirsk State Technical University,
 ² Research Institute of Information and Communication Technologies, Novosibirsk, Russian Federation

Method of Intellectually-Adaptive Management of the Enterprise Information Infrastructure

The aim of this work was to develop a new method of intellectually adaptive management of the enterprise information infrastructure. It was necessary to ensure the serviceable and fault-tolerant functioning of technical systems and facilities with reducing communication channel load under various internal and external influences of a different risk level. The task was also to develop the concept of automatic search and apply a rational response strategy to various types of disturbances. A rational response strategy implied as a set of measures that would minimize the load on the communication channel in comparison with alternative solutions, without adversely affecting regular information flows and processes, as well as the level of security of the enterprise's information and communication sector. As a result, a new method of intelligent adaptive management of the enterprise information infrastructure is proposed. The choice of a rational response strategy to various types of influences is carried out by their intellectual processing with prediction of the response of services on isolated model objects. To achieve this goal, a block of genetic algorithmization and fuzzy logic is applied with self-organization of rules and control modules. The risk of information systems switching to unavailability mode is minimized, a high level of security of the enterprise information infrastructure is ensured. Complex traffic and information processes management at all levels of interaction achieve improving the reliability, fault tolerance and quality of technical systems.
Keywords: system analysis, intelligent adaptive management, processing, network traffic, local information processes, abnormal impacts, information security, TCP/IP, threats, attacks

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