Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 24, Pages: 1-6
K. Abrar Ahmed1* and H. Abdul Rauf2
1Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Chennai – 600017, Tamil Nadu, India; [email protected] 2Sree Sastha Institute of Engineering and Technology, Chennai – 600113, Tamil Nadu, India; [email protected]
*Author for the correspondence:
K. Abrar Ahmed
Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Chennai – 600017, Tamil Nadu, India; [email protected]
Objective: To provide improved privacy for dataset using fuzzy set properties with optimal Information loss, thereby achieving better utility. Methods: We propose Fuzzy Hybrid data Transformation method by combining fuzzy data modification method and Random Rotation Perturbation techniques (RRP). Fuzzy data modification method contains fuzzy K-member clustering along with membership function to be executed to distorted data. RRP preserves the geometric structure on dataset. Findings: Experimentation proves that our method gives least information loss when compared with existing method along with fuzzy membership function individually for different values of k. Thereby, we achieve dual goal of privacy and utility. Applications: The experiment has been done over the Adult dataset derived from UCL Repository and used for numerous applications such as analysis, mining, forecasting and prediction etc.
Keywords: Fuzzy Data Modification, PPDM, Privacy Threats, RRP
Subscribe now for latest articles and news.