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"Privacy Protection Practice for Data Mining with Multiple Data Sources" by Pauline O'Shaughnessy and Yan Xia Lin

In the age of data, data mining provides feasible tools with which to handle large datasets consisting of data from multiple sources. However, there is limited research on retrieving statistical information from data when data are confidential and cannot be shared directly. In this paper, we address this problem and propose a framework for performing data analysis using data from multiple sources without revealing true values for privacy purposes. The proposed framework includes three steps. Fir...
Data Masking Data Mining Ultiplicative Noise Sample Size Calculation
Source: uow.edu.au

Data masking in Google DataStudio

First, why is there a need for Data masking?Consider a table containing a column of Social Security Number as an example. Without Data Masking, the SSN would be displayed as 123โ€“456โ€“7899. With data masking, this number is displayed as 123-xxx-xxx-7899. Then an insider leaks this sensitive informa
Google Datastudio University Of Pangasinan Social Security Number Data Masking Google Data Studio Security Incidents
Source: mb.com.ph

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Micro Focus Recognized as a 2022 Gartner Peer Insights Customers Choice in Data Masking for CyberRes Voltage

The Gartner Peer Insights Customers Choice Distinction is Based on Feedback and Ratings from End-Users Who Have Experience Purchasing, Implementing and/or Using the Product or Service.
Reiner Kappenberger Retail Company Product Or Service Team Leader For Security Gartner Peer Insights Customer Choice Distinction End Users Who Have Experience Purchasing

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