title: A Model for Quantifying the Agent of a Complex Network in Conditions of Incomplete Awareness
abstract: Purpose of the article: development of a mechanism for quantitative evaluation of elements of complex information systems in conditions of insufficient information about the presence of vulnerabilities. Research method: mathematical modeling of uncertainty estimation based on binary convolution and Kolmogorov complexity. Data banks on vulnerabilities and weaknesses are used as initial data for modeling. The result: it is shown that the operation of an element of a complex network can be represen
journal: Voprosy kiberbezopasnosti