Обеспечение безопасности центров обработки данных от распределенных атак типа «отказ в обслуживании» с использованием системы мониторинга Grafana

Daria A. Potapova; Andrey N. Brysin; Dmitry S. Nevolin; Pavel V. Lavrov; Alina D. Rogova

Authors

Daria A. Potapova Russian University of Technology (MIREA)
Andrey N. Brysin Blagonravov Institute of Machine Science of the Russian Academy of Sciences
Dmitry S. Nevolin Russian University of Technology (MIREA)
Pavel V. Lavrov Russian University of Technology (MIREA)
Alina D. Rogova Russian University of Technology (MIREA)

How to cite

GOST Potapova D. A., Brysin A. N., Nevolin D. S., Lavrov P. V., Rogova A. D. Ensuring the security of data centers from distributed denial-of-service attacks using the Grafana monitoring system // STROITEL'NYE I DOROZHNYE MASHINY. 2025. Vol. 69. No. 4. P. 146-155.

APA Potapova, D. A., Brysin, A. N., Nevolin, D. S., Lavrov, P. V. & Rogova, A. D. (2025). Ensuring the security of data centers from distributed denial-of-service attacks using the Grafana monitoring system. STROITEL'NYE I DOROZHNYE MASHINY, 69(4), 146-155.

Abstract

The article discusses the use of the Grafana monitoring system to improve the security of data centers (data centers). The analysis of modern threats and methods of their detection is carried out, the architecture of Grafana integration with existing security systems is proposed. Special attention is paid to the practical aspects of configuring dashboards and alerts to detect anomalies.

Keywords

Grafana security monitoring data center SIEM anomaly detection data visualization

Funding

The authors did not declare any external funding for this research.

References

Вернон Р. Отчет о расследовании утечек данных (DBIR) 2023. New Jersey: Verizon Business, 2023.

Графана Лабс. Официальная документация Grafana: Мониторинг и оповещения // Grafana Labs. 2023.

Официальное руководство по Elasticsearch // Elastic. 2023.

Иванов А.В. Современные методы мониторинга безопасности в ЦОД // Информационная безопасность. 2022. № 4. С. 45-52.

Прометеус. Документация Prometheus: Система мониторинга и временные ряды данных // Prometheus Authors. 2023.

Grafana как инструмент для технического мониторинга // slurm.io. 2020. https://slurm.io/blog/tpost/7efb9byg97-grafana-kak-instrument-dlya-tehnicheskog/

Ensuring the security of data centers from distributed denial-of-service attacks using the Grafana monitoring system

Authors

How to cite

Abstract

Keywords

Funding

References

Published

Issue

Section

Metrics

Rights and terms of use

Similar Articles

Similar Articles

Development of data fusion methods based on wavelet decomposition for multichannel machine vision systems in robotics

Methods of protection against radio frequency attacks of wireless networks

Intelligent systems for recognizing dangerous areas and preventing accidents on construction sites: neural networks in machine safety management

Automatic remote monitoring of well fluid properties based on IoT and the PMRA-IV flow PMR analyzer

Development of a machine learning model for automatic detection of SQL injections in web applications of the construction industry

The use of big data to optimize energy consumption and environmental performance of construction machinery: models and practical solutions

Predictive maintenance of construction machinery based on neural network analysis of sensor data: reduced downtime and increased service life

Building a Neo4j graph database for building materials recommendations in the process of building renovation

The use of 3D visualization at the design stage of architectural objects to improve planning accuracy

The use of digital twin technology to optimize the operation of the construction machinery fleet in real time