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Innovative Systems Design and Engineering ISSN 22221727 (Paper) ISSN 22222871 (Online) Vol.5, No.1, 2014www.piste.reapplication of Data Masking in Achieving Information Privacy 1AJAYI, Cupola Outside Department
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How to fill out application of data masking

01
To fill out an application of data masking, follow these steps:
02
Start by understanding the purpose and requirements of data masking.
03
Identify the sensitive data that needs to be protected and determine the specific masking techniques to be applied.
04
Choose a suitable data masking tool or software that aligns with your requirements.
05
Gather the necessary information and data that will be used for masking.
06
Design a data masking strategy that includes defining masking rules and configurations.
07
Implement the data masking techniques on the selected data and validate the masked data for accuracy and integrity.
08
Test the masked data within the application environment to ensure that it functions as expected.
09
Document the data masking process and maintain proper logs for auditing purposes.
10
Regularly review and update the data masking strategy to adapt to changing requirements or regulations.
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Finally, submit the completed application of data masking for approval and keep a record of the submitted application.

Who needs application of data masking?

01
Application of data masking is needed by organizations or individuals who handle sensitive data and have a need to protect the privacy and confidentiality of the data.
02
Some specific examples of those who may require data masking include:
03
- Healthcare organizations handling patient records and sensitive medical information
04
- Financial institutions dealing with customer financial data and personally identifiable information (PII)
05
- Government agencies working with sensitive citizen data
06
- Online businesses processing customer information such as credit card details
07
- Any organization or individual that wants to minimize the risk of unauthorized access or data breaches
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Data masking is used to protect sensitive data by replacing, encrypting, or obfuscating the original data with fictional but realistic values.
Organizations that handle sensitive data and want to safeguard it from unauthorized access or breaches are required to implement data masking.
To fill out an application of data masking, organizations need to identify the sensitive data to be protected, determine the appropriate data masking techniques, and implement the masking process.
The purpose of data masking is to prevent unauthorized access to sensitive data and comply with data protection regulations such as GDPR.
The application of data masking should include details of the sensitive data being masked, the data masking techniques used, and any relevant compliance requirements.
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