employee
Sevastopol, Simferopol, Russian Federation
The aim of the work is to propose a decision-making approach for managing a computer node in the face of unauthorized input traffic modifications. The research methods are analytical modelling of queuing systems and stochastic approximation algorithms. The results of the research and novelty are to obtain an approach based on the stochastic approximation algorithms for adaptive decision making under a priori uncertainty of input data. Findings of the obtained approach allow increasing the efficiency of computer systems in case of unauthorized intrusions.
analytical modelling, stochastic approximation algorithms, queuing systems, computer nodes
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