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Исследование методов сокращения размерности для обнаружения ÑÐµÑ‚ÐµÐ²Ñ‹Ñ Ð°Ñ‚Ð°Ðº

дипломная работа

Исследование методов сокращения размерности для обнаружения ÑÐµÑ‚ÐµÐ²Ñ‹Ñ Ð°Ñ‚Ð°Ðº

Abstract

Объектом исследования данной работы являются сетевые атаки, а именно Ð¸Ñ Ð¸Ð´ÐµÐ½Ñ‚Ð¸Ñ„Ð¸ÐºÐ°Ñ†Ð¸Ñ. Следовательно, цель работы это исследование методов по обнаружению ÑÐµÑ‚ÐµÐ²Ñ‹Ñ Ð°Ñ‚Ð°Ðº. Ð’ данной работе рассматривается метод обнаружения по значимым параметрам. Представлены уже высчитанные наборы Ð·Ð½Ð°Ñ‡Ð¸Ð¼Ñ‹Ñ Ð¿Ð°Ñ€Ð°Ð¼ÐµÑ‚Ñ€Ð¾Ð² и предложен для рассмотрения метод Ð³Ð»Ð°Ð²Ð½Ñ‹Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ‚ (PCA - Principal Components Analysis), который также позволяет найти значимые параметры. Ð’ результате работы получен набор Ð·Ð½Ð°Ñ‡Ð¸Ð¼Ñ‹Ñ Ð¿Ð°Ñ€Ð°Ð¼ÐµÑ‚Ñ€Ð¾Ð² для обнаружения вторжений на основе использования метода Ð³Ð»Ð°Ð²Ð½Ñ‹Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ‚. Ð’ дальнейшей работе Ð½ÐµÐ¾Ð±Ñ Ð¾Ð´Ð¸Ð¼Ð¾ найти более эффективные методы получения Ð·Ð½Ð°Ñ‡Ð¸Ð¼Ñ‹Ñ Ð¿Ð°Ñ€Ð°Ð¼ÐµÑ‚Ñ€Ð¾Ð², так как полученные результаты можно еще улучшить.

The object of the study is the network attacks, specifically their identifications. Consequentially, the aim of this research is to study the detection methods of the significant parameters. Already calculated set of significant parameters is presented and a Principal Components Analysis helping as well to detect the significant parameters is proposed. As a result of the study a set of the significant parameters based on the PCA method for detecting the network intrusion is received.

Keywords

анализ данныÑ, detection of network attacks, data analysis, методы сокращения размерности, network attacks, сетевые атаки, dimensionality reduction techniques, обнаружение ÑÐµÑ‚ÐµÐ²Ñ‹Ñ Ð°Ñ‚Ð°Ðº

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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
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