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Current methods and tools for detecting potentially dangerous content on the internet

Urvachev Pavel Mikhailovich  (Kuban State Technological University, Krasnodar)

Dovgal Vladislav Vitalievich  (Kuban State Technological University, Krasnodar)

Budnikov Konstantin Andreevich  (Kuban State Technological University, Krasnodar )

Irkhin Sergey Eduardovich  (Kuban State Technological University, Krasnodar)

The article describes the actualization of the problem of potentially dangerous content on the Internet and analyzes existing algorithms and tools for identifying content and current software products to identify potentially dangerous content.

Keywords:neural network, artificial intelligence, parsing, speech recognition, syntax analysis, analysis and processing of content
 

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Citation link:
Urvachev P. M., Dovgal V. V., Budnikov K. A., Irkhin S. E. Current methods and tools for detecting potentially dangerous content on the internet // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№01. -С. 126-133 DOI 10.37882/2223-2966.2022.01.35
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