промышленный Интернет вещей,
информационная безопасность,
искусственный интеллект,
машинное обучение,
анализ данных,
киберугрозы,
автоматизация
Abstract
Relevance of the topic. The need to apply artificial intelligence technologies to ensure information security in the industrial Internet of Things (IIoT). Purpose. Analysis of the main threats and vulnerabilities arising during the integration of industrial networks and control systems into a single digital infrastructure. Rationale for machine learning and data mining techniques that automate the process of detecting anomalies and attacks in industrial systems. Methodology. Methods for logical and comparative analysis of information security practices in the industrial Internet of Things (IIoT). Results and conclusions. Based on the analysis and assessment of the current situation in the field of information security in the industrial Internet of Things (IIoT), the directions for the development of intelligent security systems, their structure and role in preventing cyber incidents at production facilities are presented.