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

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

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Article number012023
JournalIOP Conference Series: Materials Science and Engineering
Issue number1
Publication statusPublished - 26 Apr 2019
Event3rd International Conference on Cognitive Robotics - Tomsk, Russian Federation
Duration: 22 Nov 201824 Nov 2018

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

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