Search
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.
Citations
-
9
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.14313/JAMRIS
- License
-
open in new tab
Keywords
Details
- 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
seen 60 times
Recommended for you
Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0
- S. I. Shafiq,
- C. Sanin,
- E. Szczerbicki