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DEVELOPMENT OF SOFTWARE FOR COLLECTING AND ANALYZING DATA ON THE AVAILABILITY OF PROXY SERVERS USING MACHINE LEARNING METHODS

Rusakov Aleksej Mixajlovich  (senior lecturer, MIREA — Russian Technological University )

Deryugin 'evich Mihail Gennad  (graduate student, MIREA — Russian Technological University )

Nikonov Vyacheslav Viktorovich  (senior lecturer, MIREA — Russian Technological University )

Simonova Maria Alekseevna  (MIREA — Russian Technological University)

The article describes the process of creating software for collecting and analyzing data on the availability of proxy servers using machine learning methods. Among the ready-made solutions, there were no options that could fully meet the needs for improving the quality of services provided, so it was decided to start developing its own program that allows, without the active participation of the user, to check and collect information about the availability of proxy servers from public resources, analyze their performance and analyze their availability in the near future. By sending a request to a public web resource through a proxy, it was possible to check the performance based on the response or on the delay of the request. Some machine learning algorithms have been tested for forecasting, as well as exponential smoothing.

Keywords:proxy server, proxy server availability, information security, machine learning.
 

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Citation link:
Rusakov A. M., Deryugin 'evich M. G., Nikonov V. V., Simonova M. A. DEVELOPMENT OF SOFTWARE FOR COLLECTING AND ANALYZING DATA ON THE AVAILABILITY OF PROXY SERVERS USING MACHINE LEARNING METHODS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№01. -С. 114-127 DOI 10.37882/2223-2966.2024.01.31
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