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DDoS-attack detection using artificial neural networks in Matlab
Author(s): Leonid M. Kupershtein; Tatiana B. Martyniuk; Olesia P. Voitovych; Bohdan V. Kulchytskyi; Andrii V. Kozhemiako; Daniel Sawicki; Mashat Kalimoldayev
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Paper Abstract

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.

Paper Details

Date Published: 6 November 2019
PDF: 10 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761S (6 November 2019); doi: 10.1117/12.2536478
Show Author Affiliations
Leonid M. Kupershtein, Vinnytsia National Technical Univ. (Ukraine)
Tatiana B. Martyniuk, Vinnytsia National Technical Univ. (Ukraine)
Olesia P. Voitovych, Vinnytsia National Technical Univ. (Ukraine)
Bohdan V. Kulchytskyi, Vinnytsia National Technical Univ. (Ukraine)
Andrii V. Kozhemiako, Vinnytsia National Technical Univ. (Ukraine)
Daniel Sawicki, Lublin Univ. of Technology (Poland)
Mashat Kalimoldayev, Institute of Information and Computational Technologies (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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