Exploring Opportunities to Identify Abnormal Behavior of Data Center Users Based on Machine Learning Models

被引：0
|
作者：
Kotenko, I. V. [1 ]
Saenko, I. B. [1 ]
机构：
[1] Russian Acad Sci, St Petersburg Fed Res Ctr, St Petersburg 199178, Russia
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS | 2023年 / 33卷 / 03期
基金：
俄罗斯科学基金会;
关键词：
detection of anomalies; data processing center; machine learning; cybersecurity;
D O I：
10.1134/S1054661823030227
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The article describes the main provisions of the proposed method of identifying abnormal behavior of data center users, which uses machine learning models. Issues related to the formation of a feature space for machine learning models, software implementation, and experimental evaluation of the proposed method are considered.
引用
收藏
页码：368 / 372
页数：5
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