PROBLEMS AND SOLUTIONS OF INFORMATION EXCHANGE IN INTEGRATED CONTROL SYSTEMS

This article provides a scientific analysis of the risk management system in information exchange processes between various control authorities at border checkpoints. The study examines issues of ensuring data security in information exchange channels, integrating fragmented systems, and centralizing inter-agency information flows. An automatic information risk classification mechanism based on a multi-criteria assessment model, CART decision tree, and Random Forest algorithm is proposed. The research findings establish a methodological basis for transitioning to proactive management of information exchange processes at border checkpoints.