Shewhart-Type Charts for Masked Data: A Strategy for Handling the Privacy Issue
Joint Authors
Riaz, Muhammad
Shah, Said Farooq
Cheema, Salman Arif
Hussain, Zawar
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Data privacy is a serious issue and therefore needs our attention.
In this study, we propose masking through randomized response techniques (RRTs) to ensure the privacy and thus to avoid falsification.
We assume that the process characteristic is of sensitive nature, and due to privacy issue, the actual measurements cannot be shared with the monitoring team.
In such situations, the producer is very likely to falsify the measurements.
Consequently, the usual control charting techniques will mislead about the process status.
We discuss different data masking strategies to be used with Shewhart-type control charts.
The usual Shewhart-type control chart appears to be a subchart of the proposed charts.
Average run length (ARL) is used as a performance measure of the study proposals.
We have evaluated the performance of the proposed charts for different shift sizes and under different intensities of masking.
We have also carried out a comparative analysis for various models under varying sensitivity parameters.
We have also compared the performance of the proposals with the traditional Shewhart chart.
It is observed that the B-L control chart under the RRT model performs better for smaller shifts and for larger shift sizes, the G-B chart under an unrelated question model tperforms better.
A real-life application of the study proposal is also considered where monitoring of thickness of paint on refrigerators is of interest.
American Psychological Association (APA)
Shah, Said Farooq& Hussain, Zawar& Riaz, Muhammad& Cheema, Salman Arif. 2020. Shewhart-Type Charts for Masked Data: A Strategy for Handling the Privacy Issue. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1195677
Modern Language Association (MLA)
Shah, Said Farooq…[et al.]. Shewhart-Type Charts for Masked Data: A Strategy for Handling the Privacy Issue. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1195677
American Medical Association (AMA)
Shah, Said Farooq& Hussain, Zawar& Riaz, Muhammad& Cheema, Salman Arif. Shewhart-Type Charts for Masked Data: A Strategy for Handling the Privacy Issue. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1195677
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195677