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Automated anonymization of sensitive data on production unit

Kujawa Marcin, Piotrowski Robert

Journal of Automation Mobile Robotics and Intelligent Systems

2023

Vol. 17, No. 1

40--44

The article presents an approach to data anonymization with the use of generally available tools. The focus is put on the practical aspects of using open‐source tools in conjunction with programming libraries provided by suppliers of industrial control systems. This universal ap‐ proach shows the possibilities of using various operating systems as a platform for process data anonymization. An additional advantage of the described approach is the ease of integration with various types of advanced data analysis tools based both on the out‐of‐the‐box approach (e.g., business intelligence tools) as well as customized solutions. The discussed case describes the anonymiza‐ tion of data for the needs of sensitive analysis by a wider group of recipients during the construction of a predictive model used to support decisions.