No abstract

In this article, the methods for constructing antivirus programs, their advantages and disadvantages are considered. The PE-structure of malicious and safe software was analyzed. The signs that are typical for classes of malware such as Worm, Backdoor, Trojan and for the safe software were identified. A software model of the device for detecting malicious software based on the neural network ART-1 was developed. This system was trained on the example of the obtained binary vectors. Optimal similarity coefficients were found, and the testing was performed. The test results showed the possibility of using the developed system to detect modified malicious software. Figs.: 3. Tabl.: 4. Refs.: 10 titles.