Development of the disable software reporting system on the basis of the neural network
Ескіз недоступний
Дата
2018
Назва журналу
Номер ISSN
Назва тому
Видавець
Анотація
The PE structure of malicious and secure software is analyzed, features are highlighted, binary sign vectors are obtained and used as inputs for training the neural network. A software model for detecting malware based on the ART-1 neural network was developed, optimal similarity coefficients were found, and testing was performed. The obtained research results showed the possibility of using the developed system of identifying malicious software in computer systems protection systems.
Опис
Ключові слова
PE-file structure, antivirus programs, computer systems, malicious software, signature method, heuristic method, ART-1 neural network
Бібліографічний опис
Gavrylenko S. Development of the disable software reporting system on the basis of the neural network / S. Gavrylenko, O. Babenko, E. Ignatova // IOP Conference Series: Journal of Physics. – 2018. – Vol. 998. – Proceedings of the Conf. "Metrology, Standardization, Quality: Theory And Practice" (MSQ-2017), 14-16 November 2017, Omsk. – Electronic text data. – Omsk, 2018. – P. 012009. – URL: https://iopscience.iop.org/article/10.1088/1742-6596/998/1/011001/pdf, free (accessed 19.09.2023).