title: ÐÐ½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð¾Ðµ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð²Ð¸ÑÑÑÐ¾Ð² Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Intelligent virus detection using a neural network
Creators: name: ÐÐ¾Ð¶ÐµÐ²Ð½Ð¸ÐºÐ¾Ð²Ð°, ÐÐ¾Ð»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð²Ð¸ÑÑÑÐ½Ð¾Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐ¸
php
Tensorflow
viral software
machine learning
neural networks

description: Ð ÑÐ°Ð¼ÐºÐ°Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ Ð¸ÑÐ¿Ð¾Ð»Ð½ÑÐµÐ¼ÑÑ ÑÐ°Ð¹Ð»Ð¾Ð² Ð² ÐÐ¡ Windows Ñ Ð²ÑÑÐ¾ÐºÐ¾Ð¹ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. Ð Ð¿ÐµÑÐ²Ð¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð±ÑÐ»Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð° Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²Ð¸ÑÑÑÐ½Ð¾Ð³Ð¾ ÐÐ, ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ»Ð¾ ÑÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¾ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð²Ð¾Ðµ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²Ð¾ Ð´Ð»Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð¸ÑÐ¿Ð¾Ð»Ð½ÑÐµÐ¼ÑÑ ÑÐ°Ð¹Ð»Ð¾Ð² Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° ÑÑÑÑÐºÑÑÑÐ° PE ÑÐ¾ÑÐ¼Ð°ÑÐ°. ÐÐ°Ð»ÐµÐµ Ð±ÑÐ» Ð²ÑÐ±ÑÐ°Ð½ ÐºÐ¾Ð½ÐºÑÐµÑÐ½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÑ Ð¿ÑÐ¾-Ð³ÑÐ°Ð¼Ð¼. ÐÐ¾ Ð²ÑÐ¾ÑÐ¾Ð¹ Ð³Ð»Ð°Ð²Ðµ Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ñ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÑÐµÐ´ÑÑÐ²Ð° Ð¸ ÑÑÐµÐ´Ð° Ð´Ð»Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. ÐÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾-Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼ÐµÑÐ°Ð½Ð¸Ð·Ð¼ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾Ñ-Ð½ÑÑ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼, ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð´Ð°Ð½-Ð½ÑÑ Ð´Ð»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹. Ð ÑÑÐµÑÑÐµÐ¹ Ð³Ð»Ð°Ð²Ðµ Ð±ÑÐ»Ð° Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð° Ð²ÑÐ±Ð¾ÑÐºÐ° Ð°ÑÑÐ¸Ð±ÑÑÐ¾Ð² Ð¸Ñ-Ð¿Ð¾Ð»Ð½ÑÐµÐ¼ÑÑ ÑÐ°Ð¹Ð»Ð¾Ð², Ð² Ð¾Ð¿ÐµÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ Windows, Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÑÐµÑÑÐ¸-ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ, Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹, Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ÑÐ¿Ð¾Ð»Ð½ÑÐµÐ¼ÑÑ ÑÐ°Ð¹Ð»Ð¾Ð² OS Windows. ÐÑÐ¾Ð³Ð¾Ð¼ Ð¿ÑÐ¾-Ð´ÐµÐ»Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ ÑÑÐµÐ´ÑÑÐ²Ð¾ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ¸ Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, Ð° ÑÐ°ÐºÐ¶Ðµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾Ñ Ð¸ÑÐ¿Ð¾Ð»Ð½ÑÐµ-Ð¼ÑÑ ÑÐ°Ð¹Ð»Ð¾Ð² Ð² ÐÐ¡ Windows Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð¾ÑÑÐ´ÐºÐ° 94%.
description: During this work the neural network classifier of executable files in OS Win-dows with high classification accuracy has been developed. The first part, a neural network model for detecting virus software was studied, an attribute space for a neu-ral network classifier of executable files was also formed, and the structure of the PE format was considered. Next, a specific malware recognition algorithm was selected. In the second part, technical means and environment for the development of an arti-ficial neural network were investigated and selected. A software mechanism based on a neural network for recognizing viruses was developed, and a software module for preparing data for neural was also developed. In the third part, a selection of attrib-utes of executable files was built in the Windows operating system for training and testing a neural network; a classifier based on neural networks was also developed for analyzing executable files of Windows OS. The result of the work done is a software tool for preparing and processing data for a neural network, as well as a neural network classifier of executable files in Windows OS with a classification ac-curacy of about 94%.