Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10332898 | Journal of Computer and System Sciences | 2013 | 14 Pages |
Abstract
⺠We investigate the efficiency of privacy preservation over large-scale incremental data sets on cloud. ⺠A distributed quasi-identifier index structure is proposed to efficiently update anonymous incremental data sets. ⺠Locality-sensitive hash function is used to place similar quasi-identifier groups on the same node to improve efficiency. ⺠We elaborate the process of generalization or specialization when data updates occur.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Xuyun Zhang, Chang Liu, Surya Nepal, Jinjun Chen,