Журнал «Современная Наука»

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

DEVELOPMENT OF AN ALGORITHM FOR DATA PRE-PREPARATION FOR THE ANOMALY DETECTION SUBSYSTEM

Eliseeva Victoriya Denisovna  (Volgograd State Technical University, Volgograd, Russia)

Kosyura Nadezhda Aleksandrovna  (Volgograd State Technical University, Volgograd, Russia)

The aim of the study is to develop an algorithm for data pre-preparation for the anomaly detection subsystem, aimed at increasing the stability and accuracy of intelligent analysis in conditions of noisy and heterogeneous input streams. An algorithm proposed that combines the stages of purification, adaptive normalization, feature selection, and nonlinear data transformation into a single processing sequence. The algorithm takes into account the specifics of streaming and high-dimensional data typical for cybersecurity tasks, industrial monitoring and network telemetry analysis. The analysis of the principles of the algorithm structure carried out and the choice of the pre-training methods used is justified. It shown that the proposed approach makes it possible to reduce the impact of noise and emissions, increase the information content of the feature space, and create conditions for more stable operation of anomaly detection models. The results obtained can used in the design of analytical subsystems and data processing pipelines as part of modern monitoring and security systems.

Keywords:Data pre-preparation, data processing algorithm, anomaly detection, data purification, normalization, recognition selection, machine learning.
 

Read the full article …

Citation link:
Eliseeva V. D., Kosyura N. A. DEVELOPMENT OF AN ALGORITHM FOR DATA PRE-PREPARATION FOR THE ANOMALY DETECTION SUBSYSTEM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 85-92 DOI 10.37882/2223-2966.2026.01.15
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