Оцінювання вразливості інформаційної системи засобами нейромережі Хеммінга

Abstract

The article reviews existing theoretical developments in the field of assessing the security level of information systems based on various approaches including the use of neural networks and artificial intelligence. This enabled the authors of the article to develop their own mathematical and structural models of the process of assessing the level of information security of IS and the method of their formalization based on a systems approach, a Hamming neural network and elements of artificial intelligence. A set of evaluation parameters of the level of security of modern IS was substantiated and a digital technology was developed for identifying vulnerabilities in IS security from various fields of application using a Hamming neural network and artificial intelligence. The experimental verification pool of the developed model consists of information systems of 10 companies.

Опрацьовано наявний теоретичний доробок щодо оцвнювання рівня захисту інформаційних систем (ІС) на основі різних підходів, зокрема використання нейронних мереж штучного інтелекту.