Application of machine learning methods in the field of engineering and technical information security

The article explores the possibility of using machine learning methods in the field of engineering and technical information security. The main methods of machine learning are considered, such as neural networks, decision trees, support vector machine and others. The result of the work is the development of a prototype based on machine learning methods, which allows you to detect information security violations by classifying radio frequencies. The results of the work can be used in the educational process and can serve as a source for further development of this area.