DDoS-attack detection using artificial neural networks in Matlab

被引：3

作者：

Kupershtein, Leonid M. ^{[1
]}

Martyniuk, Tatiana B. ^{[1
]}

Voitovych, Olesia P. ^{[1
]}

Kulchytskyi, Bohdan V. ^{[1
]}

Kozhemiako, Andrii V. ^{[1
]}

Sawicki, Daniel ^{[2
]}

Kalimoldayev, Mashat ^{[3
]}

机构：

[1] Vinnytsia Natl Tech Univ, Vinnytsia, Ukraine

[2] Lublin Univ Technol, Lublin, Poland

[3] Inst Informat & Computat Technol CS MES RK, Alma Ata, Kazakhstan

来源：

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2019 | 2019年 / 11176卷

关键词：

cybersecurity; computer networks; DDoS attack; neural network; multilayer perceptron; Matlab; SYSTEM;

D O I：

10.1117/12.2536478

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

There are research results of artificial neural networks usage for solving a hardly formalized objective - detection of a DDoS attacks on the computer network information resource in this article. An analysis of existing methods, technologies and tools for detecting DDoS attacks and protecting from them is carried out. Several feed forward neural networks are simulated. The architecture of the neural network which provides high-precision detection is presented.

引用

页数：10

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