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6 November 2019 DDoS-attack detection using artificial neural networks in Matlab
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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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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