ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 5. Vol. 26. 2020

DOI: 10.17587/it.26.283-289

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

System for Intellectually Adaptive Management of the Enterprise Information Infrastructure

The aim of this work was to develop a system for intellectually adaptive management of the enterprise information infrastructure. The purpose of the System was to perform a system analysis, information processing and management of complex systems of an enterprise's information infrastructure in order to increase their efficiency, reliability and fault tolerance even in abnormal operating modes. As a result, a system was developed that operates on the basis of the previously presented eponymous method and addresses the preset tasks. The possibility of automatic counteraction to unauthorized internal and external research of technical objects and systems has been implemented. A mechanism for distinguishing between hackers and their misinformation according to different scenarios has been carried out. The self-learning functions of the system are expanded taking into account the analysis of the malicious actions of suspicious interaction subjects. The possibility of the initial collection of information about the components of the information infrastructure of the enterprise by an attacker using tools of active and passive analysis of information systems and computer networks is excluded. The scientific novelty of the proposed solution lies in the intellectual processing of abnormal internal and external disturbances on isolated model objects through the use of genetic algorithmization and fuzzy logic. Adaptive management of information flows and processes is achieved by predicting the response of services / hosts on model objects with the self-organization of rules and system modules through feedback.
Keywords: intelligent and adaptive management, abnormal impacts, self-training, network traffic, local information processes, TCP/IP, information security, masking, source profiling, traps

To the contents