ACM Access control using k-anonymity, query evaluate on outsourced database

Abstract

Top down Selection Mondrian (TDSM) algorithm is utilized for query workload-predicated anonymization algorithm is constructed utilizing acquisitive heuristics and kd-tree model. Query cuts are culled with minimum bounds in Top-Down Heuristic1 algorithm (TDH1). The query jumps are modified as the partitions are integrated to the output in Top-Down Heuristic 2 algorithm (TDH2). The price of decreased accuracy in the query results is utilized in Top-Down Heuristic 3 algorithm (TDH3). Repartitioning algorithm is utilized to reduce the total imprecision for the queries. The privacy preserved access control framework is enhanced to provide incremental mining features utilizing R+-tree. Data insert, expunge and update operations are associated with the partition management mechanism.