CONTROLLING INFORMATION RELIABILITY AT BORDER POINTS

This article examines modern methods of controlling the reliability of information at border checkpoints. A multi-stage information reliability control model has been developed to address problems such as data errors, false documents, and interdepartmental information conflicts in existing systems. The model is based on cross-validation algorithms, a reliability index I(x), and an automatic classification mechanism, through which incoming data is automatically evaluated based on the level of reliability. The results of the study allow us to reduce data errors by 78 percent and move the control process from a reactive approach to proactive management.