LVQ models of DDOS attacks identification

被引：0

作者：

Babenko, Tetiana ^{[1
]}

Toliupa, Serhii ^{[1
]}

Kovalova, Yuliia ^{[2
]}

机构：

[1] Taras Shevehenko Natl Univ Kyiv, Kiev, Ukraine

[2] Natl Min Univ, Dnipro, Ukraine

来源：

2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET) | 2018年

关键词：

cybersecurity; information security; model identification DDoS attacks; neural network model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cyber security management of systems in the cyberspace has been a challenging problem for both practitioners and the research community. Their proprietary nature along with the complexity renders traditional approaches rather insufficient and creating the need for the adoption of a holistic point of view. In this paper describe approaches to synthesis of the identification models based on LVQ neural networks. The results of research testify to the prospects of work in this direction.

引用

页码：510 / 513

页数：4

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