Shifting Dataset to Preserve Data Privacy

• Main Authors: Pozi, M.S.M., Bakar, A.A., Ismail, R., Yussof, S., Rahim, F.A., Ramli, R.
• Format: Conference Paper
• Language: English
• Published: 2020
• Institution: Universiti Tenaga Nasional

Data analytic is very valuable in any domain that produces large amount of data making demands on full datasets to be revealed for analytic purposes are rising. Regardless, the privacy of the released dataset should be preserved. New techniques using synthetic data as a mean to preserve the privacy...