Survey On: Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data

Abstract

Access Control Mechanisms (ACM) is used to ensure that only authorized information is available to users. Privacy Protection Mechanism (PPM) uses suppression and generalization of relational data to anonymize and satisfy privacy needs. The access control policies are used to define selection predicates available to roles while the privacy requirement is to satisfy the k-anonymity or l-diversity. In this Imprecision bound constraint is assigned for each selection predicate. Top Down Selection Mondrian (TDSM) algorithm is used for query workload-based anonymization. The Top Down Selection Mondrian (TDSM) algorithm is constructed using greedy heuristics and kd-tree model. Query cuts are selected with minimum bounds in Top-Down Heuristic 1 algorithm (TDH1). The query bounds are updated as the partitions are added to the output in Top-Down Heuristic 2 algorithm (TDH2). The cost of reduced precision in the query results is used in Top-Down Heuristic 3 algorithm (TDH3). To reduce the total imprecision for the queries use the Repartitioning algorithm. The privacy preserved access control framework is enhanced to provide incremental mining features. The partition management mechanisms are connected with data insert delete and update operations. Cell level access control is provided with differential privacy method.
Key Words: k-anonymity, l-diversity, Access control