Formation of informative characteristics of network traffic states using its dynamic filtration

A. Krasnov, D. Nikol'Skii, D. Repin, O. Galtseva

Результат исследования: Материалы для журнала

Аннотация

The approach to the task of detecting DDoS attacks based on the formation of secondary informative characteristics of its states on the observed parameters of data packets headers of network traffic is considered. Secondary informative characteristics characterize the traffic time structure or its behavioral character. The problem is solved by the method of dynamic filtering of traffic using various operators: the causal transformation operator and the evolution operator.

Язык оригиналаАнглийский
Артикульный номер012023
ЖурналIOP Conference Series: Materials Science and Engineering
Том516
Номер выпуска1
DOI
Статус публикацииОпубликовано - 26 апр 2019
Событие3rd International Conference on Cognitive Robotics - Tomsk, Российская Федерация
Длительность: 22 ноя 201824 ноя 2018

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

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