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- W3007769828 abstract "Privacy impact assessments are the most frequently approach used by organizations to control privacy risks. However, how to automatically check PII data fields in PIA results is a big challenge. Manual verification of PIA results carried out by information security consultants is time consuming, costly and slow. In addition, detecting errors and anomalies in the data as their concentration wavers after a certain period of time. In this paper, we propose a methodology of checking PII data fields that can greatly reduce human errors and improve the quality of PIA reports." @default.
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- W3007769828 date "2020-01-01" @default.
- W3007769828 modified "2023-09-23" @default.
- W3007769828 title "Personally Identifiable Data Field Checking Using Machine Learning" @default.
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- W3007769828 doi "https://doi.org/10.1007/978-981-15-3250-4_238" @default.
- W3007769828 hasPublicationYear "2020" @default.
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