SURVEY ON APPROACHES DEVELOPED FOR PRESERVING PRIVACY OF DATA OBJECTS

Abstract: This paper reviews methods to secure objects for the past 30 years. Data Disclosure Preventing Techniques such as uncertainty function and two data transformation technique are depicted. Privacy Homomorphism And Encryption Methods such as Commercial Masking facility algorithm (CDMF), markov-like perturbation and decryption of perturbation are also discussed in detail. The Knowledge Discovery Data Mining Techniques to Preserve Privacy such as generalization, suppression are elaborately studied. Partition-And-Group Framework for Clustering Trajectories TRACLUS algorithm, natural spatio-temporal operators are also elaborately studied. Decentralization Methods to Preserve Privacy location including k-anonymity and cloaking granularity as privacy metrics, a new incremental clique- based cloaking algorithm, called ICliqueCloak, to defend against location dependent attacks was discussed. Dummy Node and Cloaking Region Security Methods and Location Based Services for Securing Moving Data Objects are described

Keywords: Data Disclosure, Encryption, Knowledge Discovery Data Mining, spatio-temporal databases, database privacy