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Методы повышения защиты информационного и программного обеспечения системы ДЦ-Юг с РКП

Методы повышения защиты информационного и программного обеспечения системы ДЦ-Юг с РКП

Abstract

The model constructed on the basis of growing pyramidal networks is considered, allowing in real time to analyze the network traffic of system of centralised traffic control the «ДЦ-Юг с РКП» and to identify in it abnormal messages. The described model allows to make the analysis of a content of messages in an explicit form.

Рассматривается модель, построенная на основе растущих пирамидальных сетей, позволяющая в реальном масштабе времени анализировать сетевой трафик системы диспетчерской централизации ДЦ-Юг с РКП и идентифицировать в нем аномальные сообщения. Описанная модель позволяет выполнять анализ контента сообщений в явном виде.

Keywords

ДИСПЕТЧЕРСКАЯ ЦЕНТРАЛИЗАЦИЯ, СЕТЕВАЯ АТАКА, РАСТУЩАЯ ПИРАМИДАЛЬНАЯ СЕТЬ, АНОМАЛЬНЫЕ СООБЩЕНИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold