Application and evaluation of selected machine learning algorithms in anomaly detection module for SOC

被引：0
|
作者：
Warzynski, A. [1 ]
Bienias, P. [1 ]
Kolaczek, G. [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, 27 Wybrzeze Wyspianskiego St, PL-50370 Wroclaw, Poland
来源：
DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS | 2020年 / 12卷
关键词：
Security Operations Center; anomaly detection; intrusion detection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of the work is to present a results of the research done as a part of the project dedicated to elaboration of the model Regional Center for Cybersecurity (RegSOC). The paper presents the main assumptions and the results of the evaluation of a prototype of anomaly detection module within the Regional SOC project. The framework of anomaly detection module has been briefly described and the results of the implemented detection method using neural network has been discussed.
引用
收藏
页码：971 / 978
页数：8
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