Privacy-Preserving Mechanism for Data Analytics

• Main Authors: Anuar N.B.K., Bakar A.B.A.
• Other Authors: 57220805366
• Format: Conference Paper
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: Data analytics; Data utility; Energy data; PDPA; Privacy; Privacy metrics
• Institution: Universiti Tenaga Nasional

This paper proposed a mechanism to maintain the data subject�s privacy while performing analytics on electricity billing data. First, this paper implemented privacy-preserving mechanisms such as generalisation, group shuffling, suppression and full masking in a mocked electricity billing dataset. Th...