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Abstract
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 approach 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 anonymization 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.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.14313/JAMRIS
- License
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS
no. 17,
pages 40 - 44,
ISSN: 1897-8649 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Kujawa M., Piotrowski R.: Automated anonymization of sensitive data on production unit// Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS -Vol. 17,iss. 1 (2023), s.40-44
- DOI:
- Digital Object Identifier (open in new tab) 10.14313/jamris
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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