Data sanitization methods are also implemented for privacy preserving data mining, association rule hiding, and blockchain-based secure information sharing. These methods involve the transfer and analysis of large datasets that contain private information. This private information needs to be sanitized before being made available online so that sensitive material is not exposed. Data sanitization is used to ensure privacy is maintained in the dataset, even when it is being analyzed.
