Development of an Adaptive Fuzzy Algorithm for Identifying Technical Channels of Information Leakage

This article is devoted to the problem of identifying technical channels of information leakage using a decision support subsystem and a neural network. Research is aimed at identifying technical channels of information leakage. The article describes a model for ensuring information security, which is based on an adaptive neuro-fuzzy system and a decision support subsystem that ensures the timely identification of technical channels of information leakage, the system also has the functionality to calculate sound insulation, vibration isolation, line-of-sight range, and acoustoelectric conversion. The system specified in the article makes it possible to identify technical channels of information leakage using the description of the premises, and also generates a report on the results of the data obtained with the ability to send such reports via e-mail to a specified address. The practical application of the proposed system is the possibility of its use in the initial research of the protected premises, which allows to build an effective protection system in the organization.