Nikishova A.V., Mikhalchenko S.V. The Development of Formal Model for Research of Information System’s Data Mining Programs
THE DEVELOPMENT OF FORMAL MODEL FOR RESEARCH OF INFORMATION SYSTEM’S DATA MINING PROGRAMS
Arina Valeryevna Nikishova
Candidate of Sciences (Engineering), Associate Professor,
Department of Information Security,
Volgograd State University
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Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation
Svetlana Vladimirovna Mikhalchenko
Student,
Volgograd State University
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Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation
Abstract. According to statistics, the number of samples of new attacks against information systems is increasing due to inability to detect new patterns and the lack of modern attack detection systems. To resolve this issue, we implement intelligent data analysis to detect attacks. There are many data mining programs, so it is important to choose the best program. The authors investigate the problem of information security from the viewpoint of new attacks, the programs for mining of information system’s events. The criteria for their evaluation have been formulated. Besides, the formal model for the study of programs for mining of information system’s events has been developed. The proposed formal model will help to choose the best program for event mining. If the requirements for the analyzed programs change, then changing the values in the best vector can also become a right solution. Thus, the developed formal evaluation model is universal and effective.
Key words: information security, mining, STATISTICA Automated Neural Networks, Deductor Studio, Neural network toolbox, MemBrain Neural Network, Neuro Solutions.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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