Survey on Privacy Preservation for Inference Control on OLAP

Survey on Privacy Preservation for Inference Control on OLAP
Author(s):
Maulik Joshi, Chetna Chand
Keywords:
Privacy, preserving, OLAP, inference problem
Abstract
Online analytical processing (OLAP) is working on analysis of multidimensional data cube and it is support decision making and knowledge discovery technique. Privacy preserving is important in OLAP because private information can be shown through user query. So adversarial inference of private information its main issue in OLAP. privacy preserving OLAP had focused on single aggregate function but it is not consider important class of privacy breaches and partial information has been generated .In this paper proposed technique provide protection for exact and partial disclosure in OLAP with more than one aggregate function with reducing processing time of OLAP cube.
Article Details
Unique Paper ID: 143356 Publication Volume & Issue: Volume 2, Issue 11 Page(s): 10 - 13
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org