Should Non-Sensitive Attributes be Masked? Data Quality Implications of Data Perturbation in Regression Analysis


Ensuring the security of sensitive data is an increasingly important challenge for information systems managers. A widely used technique to protect sensitive data is to mask the data by adding zero mean noise. Noise addition affects the quality of data available for legitimate statistical use. This article develops a framework that may be used to analyze… (More)
DOI: 10.1109/HICSS.1998.654777