Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

Analysis and visualization of network traffic based on NetFlow flow export technology

Zemzerov Pavel Andreevich  (Moscow Polytechnic University)

Suvorov Stanislav Vadimovich  (Candidate of economic Sciences, associate Professor, Moscow Polytechnic University)

NetFlow data provides network operators with detailed information on how it is used. Using this data, you can understand who generates the most traffic, who is the object of DoS attacks, who sends spam, etc. NetFlow is also commonly used to automatically detect anomalies. The problem here is that the amount of NetFlow data collected in a typical backbone network is so large that even the best anomaly detection algorithms do not work either because of the lack of anomaly detection or because there are too many false positives. Another alternative approach to NetFlow data processing is to use visual analytics, that is, to represent large amounts of data in the form of images and animations so that people can detect anomalies during visual inspection. The main goal of this project will be to review existing methods and tools for advanced visualization of NetFlow data, as well as to offer and test a new combination of this data.

Keywords:monitoring systems, telemetry, routers, telecommunications, network security, big data

 

Read the full article …

Citation link:
Zemzerov P. A., Suvorov S. V. Analysis and visualization of network traffic based on NetFlow flow export technology // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№01. -С. 78-86
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences