MONITORING OF AN INFORMATION AND COMMUNICATION COMPUTER NETWORK USING A NEURAL NETWORK MODULE
The problem of rapid response to emerging emergency events at the intersection of proactive and reactive monitoring of the information and communication computer network is considered. Often, the results of proactive monitoring do not allow you to predict, and the results of reactive monitoring do not allow you to correctly react to an event that appears without additional diagnostic information. To solve this problem, we propose an approach to organizing monitoring of an information and communication computer network using the module for additional diagnostics of anomalies and preliminary clustering of these anomalies. The advanced diagnostics module is based on an artificial neural network that identifies the tools needed to eliminate anomalies. Also, according to the results of additional diagnostics, the system engineer is notified about the work done and about the current functioning of the information and communication computer network.
Authors: М. И. Авилов, Ю. А. Шичкина, М. С. Куприянов
Direction: Informatics, Computer Technologies And Control
Keywords: Network monitoring system, computer network, proactive and reactive monitoring, artificial neural network
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