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

Urvachev Pavel Mikhailovich, Dovgal Vladislav Vitalievich, Budnikov Konstantin Andreevich, Irkhin Sergey Eduardovich

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