DDoS-attack detection using artificial neural networks in Matlab

Leonid M. Kupershtein; Tatiana B. Martyniuk; Olesia P. Voitovych; Bohdan V. Kulchytskyi; Andrii V. Kozhemiako; Daniel Sawicki; Mashat Kalimoldayev

doi:10.1117/12.2536478

6 November 2019 DDoS-attack detection using artificial neural networks in Matlab

Leonid M. Kupershtein, Tatiana B. Martyniuk, Olesia P. Voitovych, Bohdan V. Kulchytskyi, Andrii V. Kozhemiako, Daniel Sawicki, Mashat Kalimoldayev

Author Affiliations +

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111761S (2019) https://doi.org/10.1117/12.2536478
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

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.

Citation Download Citation

Leonid M. Kupershtein, Tatiana B. Martyniuk, Olesia P. Voitovych, Bohdan V. Kulchytskyi, Andrii V. Kozhemiako, Daniel Sawicki, and Mashat Kalimoldayev "DDoS-attack detection using artificial neural networks in Matlab", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761S (6 November 2019); https://doi.org/10.1117/12.2536478

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